diff --git "a/vae_decoder/openvino_model.xml" "b/vae_decoder/openvino_model.xml"
--- "a/vae_decoder/openvino_model.xml"
+++ "b/vae_decoder/openvino_model.xml"
@@ -2,17 +2,17 @@
 <net name="Model9" version="11">
 	<layers>
 		<layer id="0" name="latent_sample" type="Parameter" version="opset1">
-			<data shape="1,4,?,?" element_type="f32" />
+			<data shape="?,4,?,?" element_type="f32" />
 			<output>
 				<port id="0" precision="FP32" names="latent_sample">
-					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>4</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1" name="self.post_quant_conv.weight_compressed" type="Const" version="opset1">
+		<layer id="1" name="self.post_quant_conv.weight" type="Const" version="opset1">
 			<data element_type="u8" shape="4, 4, 1, 1" offset="0" size="16" />
 			<output>
 				<port id="0" precision="U8">
@@ -23,7 +23,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2" name="Convert_768553" type="Convert" version="opset1">
+		<layer id="2" name="Convert_125388" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -42,7 +42,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3" name="self.post_quant_conv.weight_compressed/zero_point" type="Const" version="opset1">
+		<layer id="3" name="self.post_quant_conv.weight/zero_point" type="Const" version="opset1">
 			<data element_type="u8" shape="4, 1, 1, 1" offset="16" size="4" />
 			<output>
 				<port id="0" precision="U8">
@@ -53,7 +53,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4" name="Convert_768556" type="Convert" version="opset1">
+		<layer id="4" name="Convert_125391" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -72,7 +72,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5" name="self.post_quant_conv.weight_compressed/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="5" name="self.post_quant_conv.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -97,7 +97,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6" name="self.post_quant_conv.weight_compressed/scale" type="Const" version="opset1">
+		<layer id="6" name="self.post_quant_conv.weight/scale" type="Const" version="opset1">
 			<data element_type="f16" shape="4, 1, 1, 1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="FP16">
@@ -108,7 +108,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7" name="self.post_quant_conv.weight_compressed/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="7" name="self.post_quant_conv.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -133,11 +133,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="8" name="self.post_quant_conv.weight" type="Convert" version="opset1">
+		<layer id="8" name="self.post_quant_conv.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
 					<dim>4</dim>
@@ -159,7 +156,7 @@
 			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>4</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
@@ -173,39 +170,17 @@
 			</input>
 			<output>
 				<port id="2" precision="FP32">
-					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>4</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="10" name="__module.post_quant_conv/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 4, 1, 1" offset="28" size="8" />
-			<output>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>4</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="11" name="__module.post_quant_conv/aten::_convolution/Reshape" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
-			<input>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>4</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
-			</input>
+		<layer id="10" name="__module.post_quant_conv/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 4, 1, 1" offset="28" size="16" />
 			<output>
-				<port id="1" precision="FP32">
+				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>4</dim>
 					<dim>1</dim>
@@ -213,11 +188,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="12" name="__module.post_quant_conv/aten::_convolution/Add" type="Add" version="opset1">
+		<layer id="11" name="__module.post_quant_conv/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>4</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
@@ -231,15 +206,15 @@
 			</input>
 			<output>
 				<port id="2" precision="FP32" names="17">
-					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>4</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="13" name="self.decoder.conv_in.weight_compressed" type="Const" version="opset1">
-			<data element_type="u8" shape="512, 4, 3, 3" offset="36" size="18432" />
+		<layer id="12" name="self.decoder.conv_in.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="512, 4, 3, 3" offset="44" size="18432" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>512</dim>
@@ -249,7 +224,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="14" name="Convert_768563" type="Convert" version="opset1">
+		<layer id="13" name="Convert_125366" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -268,8 +243,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="15" name="self.decoder.conv_in.weight_compressed/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="512, 1, 1, 1" offset="18468" size="512" />
+		<layer id="14" name="self.decoder.conv_in.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="512, 1, 1, 1" offset="18476" size="512" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>512</dim>
@@ -279,7 +254,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="16" name="Convert_768566" type="Convert" version="opset1">
+		<layer id="15" name="Convert_125369" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -298,7 +273,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="17" name="self.decoder.conv_in.weight_compressed/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="16" name="self.decoder.conv_in.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -323,8 +298,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="18" name="self.decoder.conv_in.weight_compressed/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="512, 1, 1, 1" offset="18980" size="1024" />
+		<layer id="17" name="self.decoder.conv_in.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 1, 1, 1" offset="18988" size="1024" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>512</dim>
@@ -334,7 +309,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="19" name="self.decoder.conv_in.weight_compressed/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="18" name="self.decoder.conv_in.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -359,11 +334,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="20" name="self.decoder.conv_in.weight" type="Convert" version="opset1">
+		<layer id="19" name="self.decoder.conv_in.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
 					<dim>512</dim>
@@ -381,11 +353,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="21" name="__module.decoder.conv_in/aten::_convolution/Convolution" type="Convolution" version="opset1">
+		<layer id="20" name="__module.decoder.conv_in/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>4</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
@@ -399,39 +371,17 @@
 			</input>
 			<output>
 				<port id="2" precision="FP32">
-					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>512</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="22" name="__module.decoder.conv_in/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 512, 1, 1" offset="20004" size="1024" />
-			<output>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>512</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="23" name="__module.decoder.conv_in/aten::_convolution/Reshape" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
-			<input>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>512</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
-			</input>
+		<layer id="21" name="__module.decoder.conv_in/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 512, 1, 1" offset="20012" size="2048" />
 			<output>
-				<port id="1" precision="FP32">
+				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>1</dim>
@@ -439,11 +389,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="24" name="__module.decoder.conv_in/aten::_convolution/Add" type="Add" version="opset1">
+		<layer id="22" name="__module.decoder.conv_in/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>512</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
@@ -457,230 +407,58 @@
 			</input>
 			<output>
 				<port id="2" precision="FP32" names="57,input.1">
-					<dim>1</dim>
-					<dim>512</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="25" name="__module.decoder.mid_block.resnets.0.norm1/aten::group_norm/Constant" type="Const" version="opset1">
-			<data element_type="i32" shape="3" offset="21028" size="12" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I32">
-					<dim>3</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="26" name="__module.decoder.mid_block.resnets.0.norm1/aten::group_norm/Reshape" type="Reshape" version="opset1">
-			<data special_zero="true" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>512</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
-				</port>
-				<port id="1" precision="I32">
-					<dim>3</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32">
-					<dim>1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="27" name="__module.decoder.mid_block.resnets.0.norm1/aten::group_norm/Constant_1" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="21040" size="4" />
-			<output>
-				<port id="0" precision="I32">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="28" name="__module.decoder.mid_block.resnets.0.norm1/aten::group_norm/MVN" type="MVN" version="opset6">
-			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-				</port>
-				<port id="1" precision="I32">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32">
-					<dim>1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="29" name="__module.decoder.mid_block.resnets.0.norm1/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
-			<data output_type="i32" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>512</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="I32">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="30" name="__module.decoder.mid_block.resnets.0.norm1/aten::group_norm/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
-				</port>
-				<port id="1" precision="I32">
-					<dim>4</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32">
-					<dim>1</dim>
 					<dim>512</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="31" name="Constant_639286_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 512, 1, 1" offset="21044" size="1024" />
+		<layer id="23" name="self.decoder.mid_block.resnets.0.norm1.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="512" offset="22060" size="2048" />
 			<output>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
+				<port id="0" precision="FP32" names="self.decoder.mid_block.resnets.0.norm1.weight">
 					<dim>512</dim>
-					<dim>1</dim>
-					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="32" name="Constant_639286" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
-			<input>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>512</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
-			</input>
+		<layer id="24" name="self.decoder.mid_block.resnets.0.norm1.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="512" offset="24108" size="2048" />
 			<output>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
+				<port id="0" precision="FP32" names="self.decoder.mid_block.resnets.0.norm1.bias">
 					<dim>512</dim>
-					<dim>1</dim>
-					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="33" name="__module.decoder.mid_block.resnets.0.norm1/aten::group_norm/Multiply" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="25" name="__module.decoder.mid_block.resnets.0.norm1/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
+			<data num_groups="32" epsilon="9.9999999747524271e-07" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>512</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
 					<dim>512</dim>
-					<dim>1</dim>
-					<dim>1</dim>
 				</port>
-			</input>
-			<output>
 				<port id="2" precision="FP32">
-					<dim>1</dim>
-					<dim>512</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="34" name="Constant_639287_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 512, 1, 1" offset="22068" size="1024" />
-			<output>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>512</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="35" name="Constant_639287" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
-			<input>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
 					<dim>512</dim>
-					<dim>1</dim>
-					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>512</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="36" name="__module.decoder.mid_block.resnets.0.norm1/aten::group_norm/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>512</dim>
+				<port id="3" precision="FP32" names="74,input.3">
 					<dim>-1</dim>
-					<dim>-1</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>512</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="74,input.3">
-					<dim>1</dim>
 					<dim>512</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="37" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish" type="Swish" version="opset4">
+		<layer id="26" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
-					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>512</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
@@ -688,15 +466,15 @@
 			</input>
 			<output>
 				<port id="1" precision="FP32" names="75">
-					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>512</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="38" name="self.decoder.mid_block.resnets.0.conv1.weight_compressed" type="Const" version="opset1">
-			<data element_type="u8" shape="512, 512, 3, 3" offset="23092" size="2359296" />
+		<layer id="27" name="self.decoder.mid_block.resnets.0.conv1.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="512, 512, 3, 3" offset="26156" size="2359296" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>512</dim>
@@ -706,7 +484,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="39" name="Convert_768573" type="Convert" version="opset1">
+		<layer id="28" name="Convert_124959" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -725,8 +503,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="40" name="self.decoder.mid_block.resnets.0.conv1.weight_compressed/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="512, 1, 1, 1" offset="2382388" size="512" />
+		<layer id="29" name="self.decoder.mid_block.resnets.0.conv1.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="512, 1, 1, 1" offset="2385452" size="512" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>512</dim>
@@ -736,7 +514,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="41" name="Convert_768576" type="Convert" version="opset1">
+		<layer id="30" name="Convert_124962" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -755,7 +533,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="42" name="self.decoder.mid_block.resnets.0.conv1.weight_compressed/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="31" name="self.decoder.mid_block.resnets.0.conv1.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -780,8 +558,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="43" name="self.decoder.mid_block.resnets.0.conv1.weight_compressed/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="512, 1, 1, 1" offset="2382900" size="1024" />
+		<layer id="32" name="self.decoder.mid_block.resnets.0.conv1.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 1, 1, 1" offset="2385964" size="1024" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>512</dim>
@@ -791,7 +569,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="44" name="self.decoder.mid_block.resnets.0.conv1.weight_compressed/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="33" name="self.decoder.mid_block.resnets.0.conv1.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -816,11 +594,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="45" name="self.decoder.mid_block.resnets.0.conv1.weight" type="Convert" version="opset1">
+		<layer id="34" name="self.decoder.mid_block.resnets.0.conv1.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
 					<dim>512</dim>
@@ -838,11 +613,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="46" name="__module.decoder.mid_block.resnets.0.conv1/aten::_convolution/Convolution" type="Convolution" version="opset1">
+		<layer id="35" name="__module.decoder.mid_block.resnets.0.conv1/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>512</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
@@ -856,39 +631,17 @@
 			</input>
 			<output>
 				<port id="2" precision="FP32">
-					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>512</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="47" name="__module.decoder.mid_block.resnets.0.conv1/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 512, 1, 1" offset="2383924" size="1024" />
-			<output>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>512</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="48" name="__module.decoder.mid_block.resnets.0.conv1/aten::_convolution/Reshape" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
-			<input>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>512</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
-			</input>
+		<layer id="36" name="__module.decoder.mid_block.resnets.0.conv1/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 512, 1, 1" offset="2386988" size="2048" />
 			<output>
-				<port id="1" precision="FP32">
+				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>1</dim>
@@ -896,11 +649,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="49" name="__module.decoder.mid_block.resnets.0.conv1/aten::_convolution/Add" type="Add" version="opset1">
+		<layer id="37" name="__module.decoder.mid_block.resnets.0.conv1/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>512</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
@@ -914,230 +667,58 @@
 			</input>
 			<output>
 				<port id="2" precision="FP32" names="82,input.5">
-					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>512</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="50" name="__module.decoder.mid_block.resnets.0.norm2/aten::group_norm/Constant" type="Const" version="opset1">
-			<data element_type="i32" shape="3" offset="21028" size="12" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="38" name="self.decoder.mid_block.resnets.0.norm2.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="512" offset="2389036" size="2048" />
 			<output>
-				<port id="0" precision="I32">
-					<dim>3</dim>
+				<port id="0" precision="FP32" names="self.decoder.mid_block.resnets.0.norm2.weight">
+					<dim>512</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="51" name="__module.decoder.mid_block.resnets.0.norm2/aten::group_norm/Reshape" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="39" name="self.decoder.mid_block.resnets.0.norm2.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="512" offset="2391084" size="2048" />
+			<output>
+				<port id="0" precision="FP32" names="self.decoder.mid_block.resnets.0.norm2.bias">
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="40" name="__module.decoder.mid_block.resnets.0.norm2/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
+			<data num_groups="32" epsilon="9.9999999747524271e-07" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>512</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
-				<port id="1" precision="I32">
-					<dim>3</dim>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
 				</port>
-			</input>
-			<output>
 				<port id="2" precision="FP32">
-					<dim>1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="52" name="__module.decoder.mid_block.resnets.0.norm2/aten::group_norm/Constant_1" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="21040" size="4" />
-			<output>
-				<port id="0" precision="I32">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="53" name="__module.decoder.mid_block.resnets.0.norm2/aten::group_norm/MVN" type="MVN" version="opset6">
-			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-				</port>
-				<port id="1" precision="I32">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32">
-					<dim>1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="54" name="__module.decoder.mid_block.resnets.0.norm2/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
-			<data output_type="i32" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>512</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="I32">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="55" name="__module.decoder.mid_block.resnets.0.norm2/aten::group_norm/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-				</port>
-				<port id="1" precision="I32">
-					<dim>4</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32">
-					<dim>1</dim>
-					<dim>512</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="56" name="Constant_639288_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 512, 1, 1" offset="2384948" size="1024" />
-			<output>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>512</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="57" name="Constant_639288" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
-			<input>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
 					<dim>512</dim>
-					<dim>1</dim>
-					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>512</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="58" name="__module.decoder.mid_block.resnets.0.norm2/aten::group_norm/Multiply" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>512</dim>
+				<port id="3" precision="FP32" names="85,input.7">
 					<dim>-1</dim>
-					<dim>-1</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>512</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32">
-					<dim>1</dim>
 					<dim>512</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="59" name="Constant_639289_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 512, 1, 1" offset="2385972" size="1024" />
-			<output>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>512</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="60" name="Constant_639289" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
-			<input>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>512</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>512</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="61" name="__module.decoder.mid_block.resnets.0.norm2/aten::group_norm/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="41" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_1" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>512</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>512</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="85,input.7">
-					<dim>1</dim>
-					<dim>512</dim>
-					<dim>-1</dim>
 					<dim>-1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="62" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_1" type="Swish" version="opset4">
-			<input>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
 					<dim>512</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
@@ -1145,15 +726,15 @@
 			</input>
 			<output>
 				<port id="1" precision="FP32" names="86,input.9">
-					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>512</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="63" name="self.decoder.mid_block.resnets.0.conv2.weight_compressed" type="Const" version="opset1">
-			<data element_type="u8" shape="512, 512, 3, 3" offset="2386996" size="2359296" />
+		<layer id="42" name="self.decoder.mid_block.resnets.0.conv2.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="512, 512, 3, 3" offset="2393132" size="2359296" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>512</dim>
@@ -1163,7 +744,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="64" name="Convert_768583" type="Convert" version="opset1">
+		<layer id="43" name="Convert_124970" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -1182,8 +763,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="65" name="self.decoder.mid_block.resnets.0.conv2.weight_compressed/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="512, 1, 1, 1" offset="4746292" size="512" />
+		<layer id="44" name="self.decoder.mid_block.resnets.0.conv2.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="512, 1, 1, 1" offset="4752428" size="512" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>512</dim>
@@ -1193,7 +774,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="66" name="Convert_768586" type="Convert" version="opset1">
+		<layer id="45" name="Convert_124973" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -1212,7 +793,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="67" name="self.decoder.mid_block.resnets.0.conv2.weight_compressed/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="46" name="self.decoder.mid_block.resnets.0.conv2.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -1237,8 +818,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="68" name="self.decoder.mid_block.resnets.0.conv2.weight_compressed/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="512, 1, 1, 1" offset="4746804" size="1024" />
+		<layer id="47" name="self.decoder.mid_block.resnets.0.conv2.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 1, 1, 1" offset="4752940" size="1024" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>512</dim>
@@ -1248,7 +829,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="69" name="self.decoder.mid_block.resnets.0.conv2.weight_compressed/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="48" name="self.decoder.mid_block.resnets.0.conv2.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -1273,11 +854,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="70" name="self.decoder.mid_block.resnets.0.conv2.weight" type="Convert" version="opset1">
+		<layer id="49" name="self.decoder.mid_block.resnets.0.conv2.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
 					<dim>512</dim>
@@ -1295,11 +873,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="71" name="__module.decoder.mid_block.resnets.0.conv2/aten::_convolution/Convolution" type="Convolution" version="opset1">
+		<layer id="50" name="__module.decoder.mid_block.resnets.0.conv2/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>512</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
@@ -1313,39 +891,17 @@
 			</input>
 			<output>
 				<port id="2" precision="FP32">
-					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>512</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="72" name="__module.decoder.mid_block.resnets.0.conv2/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 512, 1, 1" offset="4747828" size="1024" />
-			<output>
-				<port id="0" precision="FP16">
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-					<dim>512</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="73" name="__module.decoder.mid_block.resnets.0.conv2/aten::_convolution/Reshape" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
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-			<input>
-				<port id="0" precision="FP16">
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-					<dim>512</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
-			</input>
+		<layer id="51" name="__module.decoder.mid_block.resnets.0.conv2/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 512, 1, 1" offset="4753964" size="2048" />
 			<output>
-				<port id="1" precision="FP32">
+				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>1</dim>
@@ -1353,11 +909,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="74" name="__module.decoder.mid_block.resnets.0.conv2/aten::_convolution/Add" type="Add" version="opset1">
+		<layer id="52" name="__module.decoder.mid_block.resnets.0.conv2/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>512</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
@@ -1371,24 +927,24 @@
 			</input>
 			<output>
 				<port id="2" precision="FP32" names="94,hidden_states.1">
-					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>512</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="75" name="__module.decoder.mid_block.resnets.0/aten::add/Add" type="Add" version="opset1">
+		<layer id="53" name="__module.decoder.mid_block.resnets.0/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>512</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>512</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
@@ -1396,465 +952,359 @@
 			</input>
 			<output>
 				<port id="2" precision="FP32" names="95,96,hidden_states.3">
-					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>512</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="76" name="__module.decoder.mid_block.attentions.0/aten::size/ShapeOf" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="54" name="Constant_103289" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="4756012" size="24" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="55" name="__module.decoder.mid_block.attentions.0/aten::view/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>512</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
-			</input>
-			<output>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>3</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="77" name="Constant_638929" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="4748852" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+			</input>
 			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="112">
+					<dim>-1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="78" name="__module.decoder.mid_block.attentions.0/aten::size/Constant" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="56" name="__module.decoder.mid_block.attentions.0/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="4756036" size="12" />
 			<output>
-				<port id="0" precision="I32" />
+				<port id="0" precision="I32">
+					<dim>3</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="79" name="__module.decoder.mid_block.attentions.0/aten::size/Gather" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="57" name="__module.decoder.mid_block.attentions.0/aten::transpose/Transpose" type="Transpose" version="opset1">
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
+				<port id="1" precision="I32">
+					<dim>3</dim>
 				</port>
-				<port id="2" precision="I32" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="103">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="113,hidden_states.5">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>512</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="80" name="__module.decoder.mid_block.attentions.0/prim::ListConstruct/Reshape_0" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
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+			<data element_type="i32" shape="3" offset="4756036" size="12" />
 			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
+				<port id="0" precision="I32">
+					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="81" name="29" type="Const" version="opset1">
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-				<attribute name="precise" version="0" />
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-			<output>
-				<port id="0" precision="I64" names="29" />
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-		<layer id="82" name="__module.decoder.mid_block.attentions.0/aten::size/Constant_1" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I32" />
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-			<data batch_dims="0" />
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 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP32">
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+					<dim>-1</dim>
+					<dim>512</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>3</dim>
 				</port>
-				<port id="1" precision="I64" />
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 			</input>
 			<output>
-				<port id="3" precision="I64" names="105" />
+				<port id="2" precision="FP32" names="115,input.11">
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+					<dim>512</dim>
+					<dim>-1</dim>
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 			</output>
 		</layer>
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-				<attribute name="precise" version="0" />
-			</rt_info>
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 			<output>
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+				<port id="0" precision="FP32" names="self.decoder.mid_block.attentions.0.group_norm.weight">
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 			</output>
 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
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 			<output>
-				<port id="0" precision="I32" />
+				<port id="0" precision="FP32" names="self.decoder.mid_block.attentions.0.group_norm.bias">
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 			</output>
 		</layer>
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 				<port id="0" precision="FP32">
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+		<layer id="68" name="self.decoder.mid_block.attentions.0.to_q.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 1" offset="5022800" size="1024" />
 			<output>
-				<port id="0" precision="I32">
+				<port id="0" precision="FP16">
+					<dim>512</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="99" name="__module.decoder.mid_block.attentions.0.group_norm/aten::group_norm/MVN" type="MVN" version="opset6">
-			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+		<layer id="69" name="self.decoder.mid_block.attentions.0.to_q.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP32">
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-					<dim>32</dim>
-					<dim>-1</dim>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>512</dim>
 				</port>
-				<port id="1" precision="I32">
+				<port id="1" precision="FP16">
+					<dim>512</dim>
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
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-					<dim>1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
+				<port id="2" precision="FP16">
+					<dim>512</dim>
+					<dim>512</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="100" name="__module.decoder.mid_block.attentions.0.group_norm/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
-			<data output_type="i32" />
+		<layer id="70" name="self.decoder.mid_block.attentions.0.to_q.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
 					<dim>512</dim>
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 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I32">
-					<dim>3</dim>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="101" name="__module.decoder.mid_block.attentions.0.group_norm/aten::group_norm/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="71" name="__module.decoder.mid_block.attentions.0.to_q/aten::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="true" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>512</dim>
 					<dim>-1</dim>
 				</port>
-				<port id="1" precision="I32">
-					<dim>3</dim>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
 				</port>
 			</input>
 			<output>
 				<port id="2" precision="FP32">
-					<dim>1</dim>
-					<dim>512</dim>
 					<dim>-1</dim>
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-		<layer id="102" name="Constant_639290_compressed" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>512</dim>
-					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="103" name="Constant_639290" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
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-			<input>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>512</dim>
-					<dim>1</dim>
-				</port>
-			</input>
+		<layer id="72" name="Constant_103174" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 512" offset="5023824" size="2048" />
 			<output>
-				<port id="1" precision="FP32">
+				<port id="0" precision="FP32">
 					<dim>1</dim>
-					<dim>512</dim>
 					<dim>1</dim>
+					<dim>512</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="104" name="__module.decoder.mid_block.attentions.0.group_norm/aten::group_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="73" name="__module.decoder.mid_block.attentions.0.to_q/aten::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>512</dim>
 					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>512</dim>
 				</port>
 				<port id="1" precision="FP32">
 					<dim>1</dim>
-					<dim>512</dim>
 					<dim>1</dim>
+					<dim>512</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
-					<dim>1</dim>
-					<dim>512</dim>
+				<port id="2" precision="FP32" names="122,query">
+					<dim>-1</dim>
 					<dim>-1</dim>
+					<dim>512</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="105" name="Constant_639291_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 512, 1" offset="4749932" size="1024" />
+		<layer id="74" name="Constant_103290" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5025872" size="32" />
 			<output>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>512</dim>
-					<dim>1</dim>
+				<port id="0" precision="I64">
+					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="106" name="Constant_639291" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
+		<layer id="75" name="__module.decoder.mid_block.attentions.0/aten::view/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
 					<dim>512</dim>
-					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="2" precision="FP32" names="136">
+					<dim>-1</dim>
+					<dim>-1</dim>
 					<dim>1</dim>
 					<dim>512</dim>
-					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="107" name="__module.decoder.mid_block.attentions.0.group_norm/aten::group_norm/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="76" name="Constant_103039" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5025904" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="77" name="__module.decoder.mid_block.attentions.0/aten::transpose/Transpose_3" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>512</dim>
 					<dim>-1</dim>
-				</port>
-				<port id="1" precision="FP32">
+					<dim>-1</dim>
 					<dim>1</dim>
 					<dim>512</dim>
-					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="118">
+				<port id="2" precision="FP32" names="137">
+					<dim>-1</dim>
 					<dim>1</dim>
-					<dim>512</dim>
 					<dim>-1</dim>
+					<dim>512</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="108" name="self.decoder.mid_block.attentions.0.to_q.weight_compressed" type="Const" version="opset1">
-			<data element_type="u8" shape="512, 512" offset="4750956" size="262144" />
+		<layer id="78" name="self.decoder.mid_block.attentions.0.to_k.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="512, 512" offset="5025936" size="262144" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>512</dim>
@@ -1862,7 +1312,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="109" name="Convert_768613" type="Convert" version="opset1">
+		<layer id="79" name="Convert_125256" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -1877,8 +1327,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="110" name="self.decoder.mid_block.attentions.0.to_q.weight_compressed/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="512, 1" offset="5013100" size="512" />
+		<layer id="80" name="self.decoder.mid_block.attentions.0.to_k.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="512, 1" offset="5288080" size="512" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>512</dim>
@@ -1886,7 +1336,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="111" name="Convert_768616" type="Convert" version="opset1">
+		<layer id="81" name="Convert_125259" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -1901,7 +1351,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="112" name="self.decoder.mid_block.attentions.0.to_q.weight_compressed/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="82" name="self.decoder.mid_block.attentions.0.to_k.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -1920,8 +1370,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="113" name="self.decoder.mid_block.attentions.0.to_q.weight_compressed/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="512, 1" offset="5013612" size="1024" />
+		<layer id="83" name="self.decoder.mid_block.attentions.0.to_k.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 1" offset="5288592" size="1024" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>512</dim>
@@ -1929,7 +1379,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="114" name="self.decoder.mid_block.attentions.0.to_q.weight_compressed/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="84" name="self.decoder.mid_block.attentions.0.to_k.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -1948,11 +1398,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="115" name="self.decoder.mid_block.attentions.0.to_q.weight" type="Convert" version="opset1">
+		<layer id="85" name="self.decoder.mid_block.attentions.0.to_k.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
 					<dim>512</dim>
@@ -1966,11 +1413,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="116" name="__module.decoder.mid_block.attentions.0.to_q/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="86" name="__module.decoder.mid_block.attentions.0.to_k/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="true" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>512</dim>
 					<dim>-1</dim>
 				</port>
@@ -1981,48 +1428,28 @@
 			</input>
 			<output>
 				<port id="2" precision="FP32">
-					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>512</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="117" name="Constant_639292_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 512" offset="5014636" size="1024" />
+		<layer id="87" name="Constant_103175" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 512" offset="5289616" size="2048" />
 			<output>
-				<port id="0" precision="FP16">
+				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>512</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="118" name="Constant_639292" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
+		<layer id="88" name="__module.decoder.mid_block.attentions.0.to_k/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>512</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>512</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="119" name="__module.decoder.mid_block.attentions.0.to_q/aten::linear/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>-1</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
 					<dim>512</dim>
 				</port>
 				<port id="1" precision="FP32">
@@ -2032,89 +1459,74 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="122,query">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="125,key">
 					<dim>-1</dim>
-					<dim>512</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="120" name="__module.decoder.mid_block.attentions.0/aten::size/ShapeOf_3" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
 					<dim>-1</dim>
 					<dim>512</dim>
 				</port>
-			</input>
-			<output>
-				<port id="1" precision="I64">
-					<dim>3</dim>
-				</port>
 			</output>
 		</layer>
-		<layer id="121" name="Constant_638932" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="4748852" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="89" name="Constant_103291" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5025872" size="32" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>1</dim>
+					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="122" name="__module.decoder.mid_block.attentions.0/aten::size/Constant_3" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="4748860" size="4" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I32" />
-			</output>
-		</layer>
-		<layer id="123" name="__module.decoder.mid_block.attentions.0/aten::size/Gather_4" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="90" name="__module.decoder.mid_block.attentions.0/aten::view/Reshape_2" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>3</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>512</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>1</dim>
+					<dim>4</dim>
 				</port>
-				<port id="2" precision="I32" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="114">
+				<port id="2" precision="FP32" names="139">
+					<dim>-1</dim>
+					<dim>-1</dim>
 					<dim>1</dim>
+					<dim>512</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="124" name="__module.decoder.mid_block.attentions.0/prim::ListConstruct/Reshape_0_1" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="4748888" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="91" name="Constant_103043" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5025904" size="32" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>1</dim>
+					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="125" name="__module.decoder.mid_block.attentions.0/prim::ListConstruct/Reshape_1_1" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="5015660" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="92" name="__module.decoder.mid_block.attentions.0/aten::transpose/Transpose_4" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>512</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I64">
+				<port id="2" precision="FP32" names="140">
+					<dim>-1</dim>
 					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>512</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="126" name="self.decoder.mid_block.attentions.0.to_k.weight_compressed" type="Const" version="opset1">
-			<data element_type="u8" shape="512, 512" offset="5015668" size="262144" />
+		<layer id="93" name="self.decoder.mid_block.attentions.0.to_v.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="512, 512" offset="5291664" size="262144" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>512</dim>
@@ -2122,7 +1534,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="127" name="Convert_768593" type="Convert" version="opset1">
+		<layer id="94" name="Convert_125245" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -2137,8 +1549,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="128" name="self.decoder.mid_block.attentions.0.to_k.weight_compressed/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="512, 1" offset="5277812" size="512" />
+		<layer id="95" name="self.decoder.mid_block.attentions.0.to_v.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="512, 1" offset="5553808" size="512" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>512</dim>
@@ -2146,7 +1558,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="129" name="Convert_768596" type="Convert" version="opset1">
+		<layer id="96" name="Convert_125248" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -2161,7 +1573,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="130" name="self.decoder.mid_block.attentions.0.to_k.weight_compressed/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="97" name="self.decoder.mid_block.attentions.0.to_v.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -2180,8 +1592,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="131" name="self.decoder.mid_block.attentions.0.to_k.weight_compressed/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="512, 1" offset="5278324" size="1024" />
+		<layer id="98" name="self.decoder.mid_block.attentions.0.to_v.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 1" offset="5554320" size="1024" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>512</dim>
@@ -2189,7 +1601,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="132" name="self.decoder.mid_block.attentions.0.to_k.weight_compressed/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="99" name="self.decoder.mid_block.attentions.0.to_v.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -2208,11 +1620,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="133" name="self.decoder.mid_block.attentions.0.to_k.weight" type="Convert" version="opset1">
+		<layer id="100" name="self.decoder.mid_block.attentions.0.to_v.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
 					<dim>512</dim>
@@ -2226,11 +1635,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="134" name="__module.decoder.mid_block.attentions.0.to_k/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="101" name="__module.decoder.mid_block.attentions.0.to_v/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="true" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>512</dim>
 					<dim>-1</dim>
 				</port>
@@ -2241,47 +1650,27 @@
 			</input>
 			<output>
 				<port id="2" precision="FP32">
-					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>512</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="135" name="Constant_639293_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 512" offset="5279348" size="1024" />
-			<output>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>512</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="136" name="Constant_639293" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
-			<input>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>512</dim>
-				</port>
-			</input>
+		<layer id="102" name="Constant_103176" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 512" offset="5555344" size="2048" />
 			<output>
-				<port id="1" precision="FP32">
+				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>512</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="137" name="__module.decoder.mid_block.attentions.0.to_k/aten::linear/Add" type="Add" version="opset1">
+		<layer id="103" name="__module.decoder.mid_block.attentions.0.to_v/aten::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>512</dim>
 				</port>
@@ -2292,108 +1681,57 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="125,key">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="128,value">
 					<dim>-1</dim>
-					<dim>512</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="138" name="__module.decoder.mid_block.attentions.0/aten::size/ShapeOf_4" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
 					<dim>-1</dim>
 					<dim>512</dim>
 				</port>
-			</input>
-			<output>
-				<port id="1" precision="I64">
-					<dim>3</dim>
-				</port>
 			</output>
 		</layer>
-		<layer id="139" name="__module.decoder.mid_block.attentions.0/aten::size/Constant_4" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="4748860" size="4" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="104" name="Constant_103292" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5025872" size="32" />
 			<output>
-				<port id="0" precision="I32" />
-			</output>
-		</layer>
-		<layer id="140" name="__module.decoder.mid_block.attentions.0/aten::size/Gather_5" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
 				<port id="0" precision="I64">
-					<dim>3</dim>
+					<dim>4</dim>
 				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I32" />
-			</input>
-			<output>
-				<port id="3" precision="I64" names="129" />
 			</output>
 		</layer>
-		<layer id="141" name="__module.decoder.mid_block.attentions.0/aten::floor_divide/Floor" type="Floor" version="opset1">
+		<layer id="105" name="__module.decoder.mid_block.attentions.0/aten::view/Reshape_3" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
-				<port id="0" precision="I64" />
-			</input>
-			<output>
-				<port id="1" precision="I64" names="131,132,133,134,146,147,head_dim" />
-			</output>
-		</layer>
-		<layer id="142" name="Constant_684779" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="4748888" size="8" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>512</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="143" name="__module.decoder.mid_block.attentions.0/prim::ListConstruct/Reshape_2" type="Reshape" version="opset1">
-			<data special_zero="false" />
-			<input>
-				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
-					<dim>1</dim>
+					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64">
+				<port id="2" precision="FP32" names="142">
+					<dim>-1</dim>
+					<dim>-1</dim>
 					<dim>1</dim>
+					<dim>512</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="144" name="__module.decoder.mid_block.attentions.0/prim::ListConstruct/Concat_1" type="Concat" version="opset1">
-			<data axis="0" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="I64">
-					<dim>1</dim>
-				</port>
-			</input>
+		<layer id="106" name="Constant_103047" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5025904" size="32" />
 			<output>
-				<port id="4" precision="I64" names="135,138,141">
+				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="145" name="__module.decoder.mid_block.attentions.0/aten::view/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="false" />
+		<layer id="107" name="__module.decoder.mid_block.attentions.0/aten::transpose/Transpose_5" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>1</dim>
 					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1</dim>
 					<dim>512</dim>
 				</port>
 				<port id="1" precision="I64">
@@ -2401,51 +1739,58 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="136">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="143">
 					<dim>-1</dim>
 					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>512</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="146" name="Constant_639014" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="5280372" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="147" name="__module.decoder.mid_block.attentions.0/aten::transpose/Transpose_3" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="108" name="__module.decoder.mid_block.attentions.0/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
 			<input>
 				<port id="0" precision="FP32">
+					<dim>-1</dim>
 					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>512</dim>
+				</port>
+				<port id="1" precision="FP32">
 					<dim>-1</dim>
 					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>512</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>512</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="137">
-					<dim>1</dim>
+				<port id="3" precision="FP32" names="144,hidden_states.7">
+					<dim>-1</dim>
 					<dim>1</dim>
 					<dim>-1</dim>
 					<dim>512</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="148" name="__module.decoder.mid_block.attentions.0/aten::view/Reshape_2" type="Reshape" version="opset1">
-			<data special_zero="false" />
+		<layer id="109" name="Constant_103049" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5557392" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="110" name="__module.decoder.mid_block.attentions.0/aten::transpose/Transpose_6" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
+					<dim>-1</dim>
 					<dim>1</dim>
 					<dim>-1</dim>
 					<dim>512</dim>
@@ -2455,49 +1800,45 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="139">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="145">
+					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>1</dim>
 					<dim>512</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="149" name="Constant_639016" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="5280372" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="111" name="Constant_103293" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="5557424" size="24" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="150" name="__module.decoder.mid_block.attentions.0/aten::transpose/Transpose_4" type="Reshape" version="opset1">
+		<layer id="112" name="__module.decoder.mid_block.attentions.0/aten::reshape/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>1</dim>
 					<dim>512</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>3</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="140">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="149,150,hidden_states.9">
+					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>512</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="151" name="self.decoder.mid_block.attentions.0.to_v.weight_compressed" type="Const" version="opset1">
-			<data element_type="u8" shape="512, 512" offset="5280404" size="262144" />
+		<layer id="113" name="self.decoder.mid_block.attentions.0.to_out.0.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="512, 512" offset="5557448" size="262144" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>512</dim>
@@ -2505,7 +1846,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="152" name="Convert_768603" type="Convert" version="opset1">
+		<layer id="114" name="Convert_125278" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -2520,8 +1861,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="153" name="self.decoder.mid_block.attentions.0.to_v.weight_compressed/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="512, 1" offset="5542548" size="512" />
+		<layer id="115" name="self.decoder.mid_block.attentions.0.to_out.0.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="512, 1" offset="5819592" size="512" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>512</dim>
@@ -2529,7 +1870,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="154" name="Convert_768606" type="Convert" version="opset1">
+		<layer id="116" name="Convert_125281" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -2544,7 +1885,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="155" name="self.decoder.mid_block.attentions.0.to_v.weight_compressed/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="117" name="self.decoder.mid_block.attentions.0.to_out.0.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -2563,8 +1904,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="156" name="self.decoder.mid_block.attentions.0.to_v.weight_compressed/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="512, 1" offset="5543060" size="1024" />
+		<layer id="118" name="self.decoder.mid_block.attentions.0.to_out.0.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 1" offset="5820104" size="1024" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>512</dim>
@@ -2572,7 +1913,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="157" name="self.decoder.mid_block.attentions.0.to_v.weight_compressed/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="119" name="self.decoder.mid_block.attentions.0.to_out.0.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -2591,11 +1932,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="158" name="self.decoder.mid_block.attentions.0.to_v.weight" type="Convert" version="opset1">
+		<layer id="120" name="self.decoder.mid_block.attentions.0.to_out.0.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
 					<dim>512</dim>
@@ -2609,13 +1947,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="159" name="__module.decoder.mid_block.attentions.0.to_v/aten::linear/MatMul" type="MatMul" version="opset1">
-			<data transpose_a="true" transpose_b="true" />
+		<layer id="121" name="__module.decoder.mid_block.attentions.0.to_out.0/aten::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>512</dim>
 					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>512</dim>
 				</port>
 				<port id="1" precision="FP32">
 					<dim>512</dim>
@@ -2624,648 +1962,621 @@
 			</input>
 			<output>
 				<port id="2" precision="FP32">
-					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>512</dim>
 				</port>
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 		</layer>
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-			<data special_zero="false" />
+		<layer id="149" name="Convert_124992" type="Convert" version="opset1">
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 			<input>
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+					<dim>512</dim>
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+					<dim>512</dim>
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+					<dim>3</dim>
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 		</layer>
-		<layer id="187" name="Constant_684781" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="4748888" size="8" />
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+					<dim>1</dim>
+					<dim>1</dim>
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 		</layer>
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-			<data special_zero="false" />
+		<layer id="151" name="Convert_124995" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
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+					<dim>1</dim>
+					<dim>1</dim>
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 			</output>
 		</layer>
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-			<data axis="0" />
+		<layer id="152" name="self.decoder.mid_block.resnets.1.conv2.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
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+				<port id="1" precision="FP16">
+					<dim>512</dim>
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-				<port id="0" precision="FP32">
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 					<dim>512</dim>
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+					<dim>3</dim>
+					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="191" name="__module.decoder.mid_block.attentions.0/aten::add/Add" type="Add" version="opset1">
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-			<input>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
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-				<attribute name="precise" version="0" />
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-			<output>
-				<port id="0" precision="I32">
-					<dim>3</dim>
+					<dim>1</dim>
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 			</output>
 		</layer>
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-			<data special_zero="true" />
+		<layer id="154" name="self.decoder.mid_block.resnets.1.conv2.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
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+				<port id="0" precision="FP16">
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 					<dim>512</dim>
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-					<dim>-1</dim>
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-				<port id="1" precision="I32">
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 				</port>
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-				<port id="0" precision="I32">
+				<port id="1" precision="FP16">
+					<dim>512</dim>
 					<dim>1</dim>
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-		<layer id="195" name="__module.decoder.mid_block.resnets.1.norm1/aten::group_norm/MVN" type="MVN" version="opset6">
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 			<output>
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+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
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-			<data output_type="i32" />
+		<layer id="155" name="self.decoder.mid_block.resnets.1.conv2.weight/fq_weights_1/convert" type="Convert" version="opset1">
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 			<input>
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+				<port id="0" precision="FP16">
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+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I32">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
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-			<data special_zero="true" />
+		<layer id="156" name="__module.decoder.mid_block.resnets.1.conv2/aten::_convolution/Convolution" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>1</dim>
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+					<dim>-1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
-				<port id="1" precision="I32">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
 				</port>
 			</input>
 			<output>
 				<port id="2" precision="FP32">
-					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>512</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="198" name="Constant_639296_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 512, 1, 1" offset="5809844" size="1024" />
+		<layer id="157" name="__module.decoder.mid_block.resnets.1.conv2/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 512, 1, 1" offset="10555080" size="2048" />
 			<output>
-				<port id="0" precision="FP16">
+				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>1</dim>
@@ -3273,13 +2584,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="199" name="Constant_639296" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
+		<layer id="158" name="__module.decoder.mid_block.resnets.1.conv2/aten::_convolution/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP16">
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>1</dim>
@@ -3287,117 +2601,100 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="188,hidden_states.17">
+					<dim>-1</dim>
 					<dim>512</dim>
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-					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="200" name="__module.decoder.mid_block.resnets.1.norm1/aten::group_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="159" name="__module.decoder.mid_block.resnets.1/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
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 					<dim>512</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 				<port id="1" precision="FP32">
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+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
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+				<port id="2" precision="FP32" names="189,190,191,input.25,sample">
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 					<dim>512</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="201" name="Constant_639297_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 512, 1, 1" offset="5810868" size="1024" />
+		<layer id="160" name="self.decoder.up_blocks.0.resnets.0.norm1.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="512" offset="10557128" size="2048" />
 			<output>
-				<port id="0" precision="FP16">
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+				<port id="0" precision="FP32" names="self.decoder.up_blocks.0.resnets.0.norm1.weight">
 					<dim>512</dim>
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 		</layer>
-		<layer id="202" name="Constant_639297" type="Convert" version="opset1">
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-				<attribute name="decompression" version="0" />
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-					<dim>1</dim>
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+		<layer id="161" name="self.decoder.up_blocks.0.resnets.0.norm1.bias" type="Const" version="opset1">
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 			<output>
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+		<layer id="162" name="__module.decoder.up_blocks.0.resnets.0.norm1/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
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 				<port id="0" precision="FP32">
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 					<dim>-1</dim>
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 				<port id="1" precision="FP32">
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+				</port>
+				<port id="2" precision="FP32">
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 			<output>
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 					<dim>-1</dim>
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 		</layer>
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+		<layer id="163" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_4" type="Swish" version="opset4">
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 				<port id="0" precision="FP32">
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-			<data element_type="u8" shape="512, 512, 3, 3" offset="5811892" size="2359296" />
+		<layer id="164" name="self.decoder.up_blocks.0.resnets.0.conv1.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="512, 512, 3, 3" offset="10561224" size="2359296" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>512</dim>
@@ -3407,7 +2704,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="206" name="Convert_768633" type="Convert" version="opset1">
+		<layer id="165" name="Convert_125003" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -3426,8 +2723,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="207" name="self.decoder.mid_block.resnets.1.conv1.weight_compressed/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="512, 1, 1, 1" offset="8171188" size="512" />
+		<layer id="166" name="self.decoder.up_blocks.0.resnets.0.conv1.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="512, 1, 1, 1" offset="12920520" size="512" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>512</dim>
@@ -3437,7 +2734,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="208" name="Convert_768636" type="Convert" version="opset1">
+		<layer id="167" name="Convert_125006" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -3456,7 +2753,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="209" name="self.decoder.mid_block.resnets.1.conv1.weight_compressed/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="168" name="self.decoder.up_blocks.0.resnets.0.conv1.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -3481,8 +2778,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="210" name="self.decoder.mid_block.resnets.1.conv1.weight_compressed/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="512, 1, 1, 1" offset="8171700" size="1024" />
+		<layer id="169" name="self.decoder.up_blocks.0.resnets.0.conv1.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 1, 1, 1" offset="12921032" size="1024" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>512</dim>
@@ -3492,7 +2789,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="211" name="self.decoder.mid_block.resnets.1.conv1.weight_compressed/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="170" name="self.decoder.up_blocks.0.resnets.0.conv1.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -3517,11 +2814,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="212" name="self.decoder.mid_block.resnets.1.conv1.weight" type="Convert" version="opset1">
+		<layer id="171" name="self.decoder.up_blocks.0.resnets.0.conv1.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
 					<dim>512</dim>
@@ -3539,11 +2833,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="213" name="__module.decoder.mid_block.resnets.1.conv1/aten::_convolution/Convolution" type="Convolution" version="opset1">
+		<layer id="172" name="__module.decoder.up_blocks.0.resnets.0.conv1/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>512</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
@@ -3557,39 +2851,17 @@
 			</input>
 			<output>
 				<port id="2" precision="FP32">
-					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>512</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="214" name="__module.decoder.mid_block.resnets.1.conv1/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 512, 1, 1" offset="8172724" size="1024" />
-			<output>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>512</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="215" name="__module.decoder.mid_block.resnets.1.conv1/aten::_convolution/Reshape" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
-			<input>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>512</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
-			</input>
+		<layer id="173" name="__module.decoder.up_blocks.0.resnets.0.conv1/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 512, 1, 1" offset="12922056" size="2048" />
 			<output>
-				<port id="1" precision="FP32">
+				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>1</dim>
@@ -3597,11 +2869,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="216" name="__module.decoder.mid_block.resnets.1.conv1/aten::_convolution/Add" type="Add" version="opset1">
+		<layer id="174" name="__module.decoder.up_blocks.0.resnets.0.conv1/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>512</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
@@ -3614,173 +2886,242 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="176,input.19">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="215,input.29">
+					<dim>-1</dim>
 					<dim>512</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="217" name="__module.decoder.mid_block.resnets.1.norm2/aten::group_norm/Constant" type="Const" version="opset1">
-			<data element_type="i32" shape="3" offset="21028" size="12" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="175" name="self.decoder.up_blocks.0.resnets.0.norm2.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="512" offset="12924104" size="2048" />
 			<output>
-				<port id="0" precision="I32">
-					<dim>3</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="218" name="__module.decoder.mid_block.resnets.1.norm2/aten::group_norm/Reshape" type="Reshape" version="opset1">
-			<data special_zero="true" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
+				<port id="0" precision="FP32" names="self.decoder.up_blocks.0.resnets.0.norm2.weight">
 					<dim>512</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
-				</port>
-				<port id="1" precision="I32">
-					<dim>3</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32">
-					<dim>1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="219" name="__module.decoder.mid_block.resnets.1.norm2/aten::group_norm/Constant_1" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="21040" size="4" />
+		<layer id="176" name="self.decoder.up_blocks.0.resnets.0.norm2.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="512" offset="12926152" size="2048" />
 			<output>
-				<port id="0" precision="I32">
-					<dim>1</dim>
+				<port id="0" precision="FP32" names="self.decoder.up_blocks.0.resnets.0.norm2.bias">
+					<dim>512</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="220" name="__module.decoder.mid_block.resnets.1.norm2/aten::group_norm/MVN" type="MVN" version="opset6">
-			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+		<layer id="177" name="__module.decoder.up_blocks.0.resnets.0.norm2/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
+			<data num_groups="32" epsilon="9.9999999747524271e-07" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
-				<port id="1" precision="I32">
-					<dim>1</dim>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+				</port>
+				<port id="2" precision="FP32">
+					<dim>512</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
-					<dim>1</dim>
-					<dim>32</dim>
+				<port id="3" precision="FP32" names="218,input.31">
+					<dim>-1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="221" name="__module.decoder.mid_block.resnets.1.norm2/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
-			<data output_type="i32" />
+		<layer id="178" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_5" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
-					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>512</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I32">
-					<dim>4</dim>
-				</port>
-			</output>
+				<port id="1" precision="FP32" names="219,input.33">
+					<dim>-1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
 		</layer>
-		<layer id="222" name="__module.decoder.mid_block.resnets.1.norm2/aten::group_norm/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="179" name="self.decoder.up_blocks.0.resnets.0.conv2.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="512, 512, 3, 3" offset="12928200" size="2359296" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="180" name="Convert_125014" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="U8">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="181" name="self.decoder.up_blocks.0.resnets.0.conv2.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="512, 1, 1, 1" offset="15287496" size="512" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 					<dim>1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
 				</port>
-				<port id="1" precision="I32">
-					<dim>4</dim>
+			</output>
+		</layer>
+		<layer id="182" name="Convert_125017" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="1" precision="FP16">
+					<dim>512</dim>
+					<dim>1</dim>
 					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="183" name="self.decoder.up_blocks.0.resnets.0.conv2.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
 					<dim>512</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="223" name="Constant_639298_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 512, 1, 1" offset="8173748" size="1024" />
+		<layer id="184" name="self.decoder.up_blocks.0.resnets.0.conv2.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 1, 1, 1" offset="15288008" size="1024" />
 			<output>
 				<port id="0" precision="FP16">
-					<dim>1</dim>
 					<dim>512</dim>
 					<dim>1</dim>
 					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="224" name="Constant_639298" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
+		<layer id="185" name="self.decoder.up_blocks.0.resnets.0.conv2.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
-					<dim>1</dim>
 					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>512</dim>
+					<dim>1</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
 			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="186" name="self.decoder.up_blocks.0.resnets.0.conv2.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
 			<output>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
 					<dim>512</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="225" name="__module.decoder.mid_block.resnets.1.norm2/aten::group_norm/Multiply" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="187" name="__module.decoder.up_blocks.0.resnets.0.conv2/aten::_convolution/Convolution" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>512</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
 					<dim>512</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
 				</port>
 			</input>
 			<output>
 				<port id="2" precision="FP32">
-					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>512</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="226" name="Constant_639299_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 512, 1, 1" offset="8174772" size="1024" />
+		<layer id="188" name="__module.decoder.up_blocks.0.resnets.0.conv2/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 512, 1, 1" offset="15289032" size="2048" />
 			<output>
-				<port id="0" precision="FP16">
+				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>1</dim>
@@ -3788,13 +3129,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="227" name="Constant_639299" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
+		<layer id="189" name="__module.decoder.up_blocks.0.resnets.0.conv2/aten::_convolution/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP16">
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>1</dim>
@@ -3802,59 +3146,100 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="227,hidden_states.19">
+					<dim>-1</dim>
 					<dim>512</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="228" name="__module.decoder.mid_block.resnets.1.norm2/aten::group_norm/Add" type="Add" version="opset1">
+		<layer id="190" name="__module.decoder.up_blocks.0.resnets.0/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>512</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>512</dim>
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-					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="179,input.21">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="228,229,input.35">
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 					<dim>512</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="229" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_3" type="Swish" version="opset4">
+		<layer id="191" name="self.decoder.up_blocks.0.resnets.1.norm1.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="512" offset="15291080" size="2048" />
+			<output>
+				<port id="0" precision="FP32" names="self.decoder.up_blocks.0.resnets.1.norm1.weight">
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="192" name="self.decoder.up_blocks.0.resnets.1.norm1.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="512" offset="15293128" size="2048" />
+			<output>
+				<port id="0" precision="FP32" names="self.decoder.up_blocks.0.resnets.1.norm1.bias">
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="193" name="__module.decoder.up_blocks.0.resnets.1.norm1/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
+			<data num_groups="32" epsilon="9.9999999747524271e-07" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>512</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+				</port>
+				<port id="2" precision="FP32">
+					<dim>512</dim>
+				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="180,input.23">
-					<dim>1</dim>
+				<port id="3" precision="FP32" names="237,input.37">
+					<dim>-1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="194" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_6" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="238">
+					<dim>-1</dim>
 					<dim>512</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="230" name="self.decoder.mid_block.resnets.1.conv2.weight_compressed" type="Const" version="opset1">
-			<data element_type="u8" shape="512, 512, 3, 3" offset="8175796" size="2359296" />
+		<layer id="195" name="self.decoder.up_blocks.0.resnets.1.conv1.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="512, 512, 3, 3" offset="15295176" size="2359296" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>512</dim>
@@ -3864,7 +3249,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="231" name="Convert_768643" type="Convert" version="opset1">
+		<layer id="196" name="Convert_125025" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -3883,8 +3268,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="232" name="self.decoder.mid_block.resnets.1.conv2.weight_compressed/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="512, 1, 1, 1" offset="10535092" size="512" />
+		<layer id="197" name="self.decoder.up_blocks.0.resnets.1.conv1.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="512, 1, 1, 1" offset="17654472" size="512" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>512</dim>
@@ -3894,7 +3279,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="233" name="Convert_768646" type="Convert" version="opset1">
+		<layer id="198" name="Convert_125028" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -3913,7 +3298,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="234" name="self.decoder.mid_block.resnets.1.conv2.weight_compressed/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="199" name="self.decoder.up_blocks.0.resnets.1.conv1.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -3938,8 +3323,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="235" name="self.decoder.mid_block.resnets.1.conv2.weight_compressed/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="512, 1, 1, 1" offset="10535604" size="1024" />
+		<layer id="200" name="self.decoder.up_blocks.0.resnets.1.conv1.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 1, 1, 1" offset="17654984" size="1024" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>512</dim>
@@ -3949,7 +3334,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="236" name="self.decoder.mid_block.resnets.1.conv2.weight_compressed/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="201" name="self.decoder.up_blocks.0.resnets.1.conv1.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -3974,11 +3359,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="237" name="self.decoder.mid_block.resnets.1.conv2.weight" type="Convert" version="opset1">
+		<layer id="202" name="self.decoder.up_blocks.0.resnets.1.conv1.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
 					<dim>512</dim>
@@ -3996,11 +3378,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="238" name="__module.decoder.mid_block.resnets.1.conv2/aten::_convolution/Convolution" type="Convolution" version="opset1">
+		<layer id="203" name="__module.decoder.up_blocks.0.resnets.1.conv1/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>512</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
@@ -4014,17 +3396,17 @@
 			</input>
 			<output>
 				<port id="2" precision="FP32">
-					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>512</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="239" name="__module.decoder.mid_block.resnets.1.conv2/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 512, 1, 1" offset="10536628" size="1024" />
+		<layer id="204" name="__module.decoder.up_blocks.0.resnets.1.conv1/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 512, 1, 1" offset="17656008" size="2048" />
 			<output>
-				<port id="0" precision="FP16">
+				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>1</dim>
@@ -4032,13 +3414,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="240" name="__module.decoder.mid_block.resnets.1.conv2/aten::_convolution/Reshape" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
+		<layer id="205" name="__module.decoder.up_blocks.0.resnets.1.conv1/aten::_convolution/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP16">
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>1</dim>
@@ -4046,165 +3431,242 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="245,input.39">
+					<dim>-1</dim>
 					<dim>512</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="241" name="__module.decoder.mid_block.resnets.1.conv2/aten::_convolution/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="206" name="self.decoder.up_blocks.0.resnets.1.norm2.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="512" offset="17658056" size="2048" />
+			<output>
+				<port id="0" precision="FP32" names="self.decoder.up_blocks.0.resnets.1.norm2.weight">
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="207" name="self.decoder.up_blocks.0.resnets.1.norm2.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="512" offset="17660104" size="2048" />
+			<output>
+				<port id="0" precision="FP32" names="self.decoder.up_blocks.0.resnets.1.norm2.bias">
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="208" name="__module.decoder.up_blocks.0.resnets.1.norm2/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
+			<data num_groups="32" epsilon="9.9999999747524271e-07" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>512</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
 					<dim>512</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+				</port>
+				<port id="2" precision="FP32">
+					<dim>512</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="188,hidden_states.17">
-					<dim>1</dim>
+				<port id="3" precision="FP32" names="248,input.41">
+					<dim>-1</dim>
 					<dim>512</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="242" name="__module.decoder.mid_block.resnets.1/aten::add/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="209" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_7" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>512</dim>
 					<dim>-1</dim>
-					<dim>-1</dim>
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-				<port id="1" precision="FP32">
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 					<dim>512</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="189,190,191,input.25,sample">
-					<dim>1</dim>
+				<port id="1" precision="FP32" names="249,input.43">
+					<dim>-1</dim>
 					<dim>512</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="243" name="__module.decoder.up_blocks.0.resnets.0.norm1/aten::group_norm/Constant" type="Const" version="opset1">
-			<data element_type="i32" shape="3" offset="21028" size="12" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="210" name="self.decoder.up_blocks.0.resnets.1.conv2.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="512, 512, 3, 3" offset="17662152" size="2359296" />
 			<output>
-				<port id="0" precision="I32">
+				<port id="0" precision="U8">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
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-			<data special_zero="true" />
+		<layer id="211" name="Convert_125036" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
+				<port id="0" precision="U8">
 					<dim>512</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
-				</port>
-				<port id="1" precision="I32">
+					<dim>512</dim>
+					<dim>3</dim>
 					<dim>3</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
-					<dim>1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
+				<port id="1" precision="FP16">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="245" name="__module.decoder.up_blocks.0.resnets.0.norm1/aten::group_norm/Constant_1" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="21040" size="4" />
+		<layer id="212" name="self.decoder.up_blocks.0.resnets.1.conv2.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="512, 1, 1, 1" offset="20021448" size="512" />
 			<output>
-				<port id="0" precision="I32">
+				<port id="0" precision="U8">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="246" name="__module.decoder.up_blocks.0.resnets.0.norm1/aten::group_norm/MVN" type="MVN" version="opset6">
-			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+		<layer id="213" name="Convert_125039" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="U8">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 					<dim>1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
 				</port>
-				<port id="1" precision="I32">
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="214" name="self.decoder.up_blocks.0.resnets.1.conv2.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="2" precision="FP16">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="215" name="self.decoder.up_blocks.0.resnets.1.conv2.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 1, 1, 1" offset="20021960" size="1024" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 					<dim>1</dim>
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 				</port>
 			</output>
 		</layer>
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-			<data output_type="i32" />
+		<layer id="216" name="self.decoder.up_blocks.0.resnets.1.conv2.weight/fq_weights_1" type="Multiply" version="opset1">
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 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>512</dim>
 					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
 					<dim>512</dim>
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-					<dim>-1</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="217" name="self.decoder.up_blocks.0.resnets.1.conv2.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I32">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
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-			<data special_zero="true" />
+		<layer id="218" name="__module.decoder.up_blocks.0.resnets.1.conv2/aten::_convolution/Convolution" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
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-					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
-				<port id="1" precision="I32">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
 				</port>
 			</input>
 			<output>
 				<port id="2" precision="FP32">
-					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>512</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="249" name="Constant_639300_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 512, 1, 1" offset="10537652" size="1024" />
+		<layer id="219" name="__module.decoder.up_blocks.0.resnets.1.conv2/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 512, 1, 1" offset="20022984" size="2048" />
 			<output>
-				<port id="0" precision="FP16">
+				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>1</dim>
@@ -4212,13 +3674,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="250" name="Constant_639300" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
+		<layer id="220" name="__module.decoder.up_blocks.0.resnets.1.conv2/aten::_convolution/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP16">
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>1</dim>
@@ -4226,117 +3691,100 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="257,hidden_states.21">
+					<dim>-1</dim>
 					<dim>512</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="251" name="__module.decoder.up_blocks.0.resnets.0.norm1/aten::group_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="221" name="__module.decoder.up_blocks.0.resnets.1/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>512</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>512</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="258,259,input.45">
+					<dim>-1</dim>
 					<dim>512</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="252" name="Constant_639301_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 512, 1, 1" offset="10538676" size="1024" />
+		<layer id="222" name="self.decoder.up_blocks.0.resnets.2.norm1.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="512" offset="20025032" size="2048" />
 			<output>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
+				<port id="0" precision="FP32" names="self.decoder.up_blocks.0.resnets.2.norm1.weight">
 					<dim>512</dim>
-					<dim>1</dim>
-					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="253" name="Constant_639301" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
-			<input>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>512</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
-			</input>
+		<layer id="223" name="self.decoder.up_blocks.0.resnets.2.norm1.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="512" offset="20027080" size="2048" />
 			<output>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
+				<port id="0" precision="FP32" names="self.decoder.up_blocks.0.resnets.2.norm1.bias">
 					<dim>512</dim>
-					<dim>1</dim>
-					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="254" name="__module.decoder.up_blocks.0.resnets.0.norm1/aten::group_norm/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="224" name="__module.decoder.up_blocks.0.resnets.2.norm1/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
+			<data num_groups="32" epsilon="9.9999999747524271e-07" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>512</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
 					<dim>512</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+				</port>
+				<port id="2" precision="FP32">
+					<dim>512</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="207,input.27">
-					<dim>1</dim>
+				<port id="3" precision="FP32" names="267,input.47">
+					<dim>-1</dim>
 					<dim>512</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="255" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_4" type="Swish" version="opset4">
+		<layer id="225" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_8" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
-					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>512</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="208">
-					<dim>1</dim>
+				<port id="1" precision="FP32" names="268">
+					<dim>-1</dim>
 					<dim>512</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="256" name="self.decoder.up_blocks.0.resnets.0.conv1.weight_compressed" type="Const" version="opset1">
-			<data element_type="u8" shape="512, 512, 3, 3" offset="10539700" size="2359296" />
+		<layer id="226" name="self.decoder.up_blocks.0.resnets.2.conv1.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="512, 512, 3, 3" offset="20029128" size="2359296" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>512</dim>
@@ -4346,7 +3794,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="257" name="Convert_768653" type="Convert" version="opset1">
+		<layer id="227" name="Convert_125047" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -4365,8 +3813,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="258" name="self.decoder.up_blocks.0.resnets.0.conv1.weight_compressed/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="512, 1, 1, 1" offset="12898996" size="512" />
+		<layer id="228" name="self.decoder.up_blocks.0.resnets.2.conv1.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="512, 1, 1, 1" offset="22388424" size="512" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>512</dim>
@@ -4376,7 +3824,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="259" name="Convert_768656" type="Convert" version="opset1">
+		<layer id="229" name="Convert_125050" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -4395,7 +3843,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="260" name="self.decoder.up_blocks.0.resnets.0.conv1.weight_compressed/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="230" name="self.decoder.up_blocks.0.resnets.2.conv1.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -4420,8 +3868,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="261" name="self.decoder.up_blocks.0.resnets.0.conv1.weight_compressed/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="512, 1, 1, 1" offset="12899508" size="1024" />
+		<layer id="231" name="self.decoder.up_blocks.0.resnets.2.conv1.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 1, 1, 1" offset="22388936" size="1024" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>512</dim>
@@ -4431,7 +3879,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="262" name="self.decoder.up_blocks.0.resnets.0.conv1.weight_compressed/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="232" name="self.decoder.up_blocks.0.resnets.2.conv1.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -4456,11 +3904,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="263" name="self.decoder.up_blocks.0.resnets.0.conv1.weight" type="Convert" version="opset1">
+		<layer id="233" name="self.decoder.up_blocks.0.resnets.2.conv1.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
 					<dim>512</dim>
@@ -4478,11 +3923,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="264" name="__module.decoder.up_blocks.0.resnets.0.conv1/aten::_convolution/Convolution" type="Convolution" version="opset1">
+		<layer id="234" name="__module.decoder.up_blocks.0.resnets.2.conv1/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>512</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
@@ -4496,39 +3941,17 @@
 			</input>
 			<output>
 				<port id="2" precision="FP32">
-					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>512</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="265" name="__module.decoder.up_blocks.0.resnets.0.conv1/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 512, 1, 1" offset="12900532" size="1024" />
-			<output>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>512</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="266" name="__module.decoder.up_blocks.0.resnets.0.conv1/aten::_convolution/Reshape" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
-			<input>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>512</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
-			</input>
+		<layer id="235" name="__module.decoder.up_blocks.0.resnets.2.conv1/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 512, 1, 1" offset="22389960" size="2048" />
 			<output>
-				<port id="1" precision="FP32">
+				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>1</dim>
@@ -4536,11 +3959,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="267" name="__module.decoder.up_blocks.0.resnets.0.conv1/aten::_convolution/Add" type="Add" version="opset1">
+		<layer id="236" name="__module.decoder.up_blocks.0.resnets.2.conv1/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>512</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
@@ -4553,173 +3976,242 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="215,input.29">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="275,input.49">
+					<dim>-1</dim>
 					<dim>512</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="268" name="__module.decoder.up_blocks.0.resnets.0.norm2/aten::group_norm/Constant" type="Const" version="opset1">
-			<data element_type="i32" shape="3" offset="21028" size="12" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="237" name="self.decoder.up_blocks.0.resnets.2.norm2.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="512" offset="22392008" size="2048" />
 			<output>
-				<port id="0" precision="I32">
-					<dim>3</dim>
+				<port id="0" precision="FP32" names="self.decoder.up_blocks.0.resnets.2.norm2.weight">
+					<dim>512</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="269" name="__module.decoder.up_blocks.0.resnets.0.norm2/aten::group_norm/Reshape" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="238" name="self.decoder.up_blocks.0.resnets.2.norm2.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="512" offset="22394056" size="2048" />
+			<output>
+				<port id="0" precision="FP32" names="self.decoder.up_blocks.0.resnets.2.norm2.bias">
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="239" name="__module.decoder.up_blocks.0.resnets.2.norm2/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
+			<data num_groups="32" epsilon="9.9999999747524271e-07" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>512</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
-				<port id="1" precision="I32">
-					<dim>3</dim>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
 				</port>
-			</input>
-			<output>
 				<port id="2" precision="FP32">
-					<dim>1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
+					<dim>512</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="270" name="__module.decoder.up_blocks.0.resnets.0.norm2/aten::group_norm/Constant_1" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="21040" size="4" />
+			</input>
 			<output>
-				<port id="0" precision="I32">
-					<dim>1</dim>
+				<port id="3" precision="FP32" names="278,input.51">
+					<dim>-1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="271" name="__module.decoder.up_blocks.0.resnets.0.norm2/aten::group_norm/MVN" type="MVN" version="opset6">
-			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+		<layer id="240" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_9" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
-				<port id="1" precision="I32">
-					<dim>1</dim>
-				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
-					<dim>1</dim>
-					<dim>32</dim>
+				<port id="1" precision="FP32" names="279,input.53">
+					<dim>-1</dim>
+					<dim>512</dim>
 					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="241" name="self.decoder.up_blocks.0.resnets.2.conv2.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="512, 512, 3, 3" offset="22396104" size="2359296" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
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-			<data output_type="i32" />
+		<layer id="242" name="Convert_125058" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
+				<port id="0" precision="U8">
 					<dim>512</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I32">
-					<dim>4</dim>
+				<port id="1" precision="FP16">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
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-			<data special_zero="true" />
-			<input>
-				<port id="0" precision="FP32">
+		<layer id="243" name="self.decoder.up_blocks.0.resnets.2.conv2.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="512, 1, 1, 1" offset="24755400" size="512" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 					<dim>1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
 				</port>
-				<port id="1" precision="I32">
-					<dim>4</dim>
+			</output>
+		</layer>
+		<layer id="244" name="Convert_125061" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="1" precision="FP16">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="245" name="self.decoder.up_blocks.0.resnets.2.conv2.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>512</dim>
+					<dim>1</dim>
 					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
 					<dim>512</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="274" name="Constant_639302_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 512, 1, 1" offset="12901556" size="1024" />
+		<layer id="246" name="self.decoder.up_blocks.0.resnets.2.conv2.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 1, 1, 1" offset="24755912" size="1024" />
 			<output>
 				<port id="0" precision="FP16">
-					<dim>1</dim>
 					<dim>512</dim>
 					<dim>1</dim>
 					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="275" name="Constant_639302" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
+		<layer id="247" name="self.decoder.up_blocks.0.resnets.2.conv2.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
-					<dim>1</dim>
 					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>512</dim>
+					<dim>1</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
 			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="248" name="self.decoder.up_blocks.0.resnets.2.conv2.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
 			<output>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
 					<dim>512</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="276" name="__module.decoder.up_blocks.0.resnets.0.norm2/aten::group_norm/Multiply" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="249" name="__module.decoder.up_blocks.0.resnets.2.conv2/aten::_convolution/Convolution" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>512</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
 					<dim>512</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
 				</port>
 			</input>
 			<output>
 				<port id="2" precision="FP32">
-					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>512</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="277" name="Constant_639303_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 512, 1, 1" offset="12902580" size="1024" />
+		<layer id="250" name="__module.decoder.up_blocks.0.resnets.2.conv2/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 512, 1, 1" offset="24756936" size="2048" />
 			<output>
-				<port id="0" precision="FP16">
+				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>1</dim>
@@ -4727,13 +4219,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="278" name="Constant_639303" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
+		<layer id="251" name="__module.decoder.up_blocks.0.resnets.2.conv2/aten::_convolution/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP16">
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>1</dim>
@@ -4741,59 +4236,82 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="287,hidden_states.23">
+					<dim>-1</dim>
 					<dim>512</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="279" name="__module.decoder.up_blocks.0.resnets.0.norm2/aten::group_norm/Add" type="Add" version="opset1">
+		<layer id="252" name="__module.decoder.up_blocks.0.resnets.2/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>512</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>512</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="218,input.31">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="288,289,hidden_states.25">
+					<dim>-1</dim>
 					<dim>512</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="280" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_5" type="Swish" version="opset4">
+		<layer id="253" name="__module.decoder.up_blocks.0.upsamplers.0/aten::upsample_nearest2d/Multiply" type="Const" version="opset1">
+			<data element_type="f32" shape="2" offset="24758984" size="8" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="254" name="Constant_97542" type="Const" version="opset1">
+			<data element_type="i32" shape="2" offset="24758992" size="8" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="255" name="__module.decoder.up_blocks.0.upsamplers.0/aten::upsample_nearest2d/Interpolate" type="Interpolate" version="opset11">
+			<data mode="nearest" shape_calculation_mode="scales" coordinate_transformation_mode="asymmetric" nearest_mode="floor" antialias="false" pads_begin="0, 0, 0, 0" pads_end="0, 0, 0, 0" cube_coeff="-0.75" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>512</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
+				<port id="1" precision="FP32">
+					<dim>2</dim>
+				</port>
+				<port id="2" precision="I32">
+					<dim>2</dim>
+				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="219,input.33">
-					<dim>1</dim>
+				<port id="3" precision="FP32" names="292">
+					<dim>-1</dim>
 					<dim>512</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="281" name="self.decoder.up_blocks.0.resnets.0.conv2.weight_compressed" type="Const" version="opset1">
-			<data element_type="u8" shape="512, 512, 3, 3" offset="12903604" size="2359296" />
+		<layer id="256" name="self.decoder.up_blocks.0.upsamplers.0.conv.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="512, 512, 3, 3" offset="24759000" size="2359296" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>512</dim>
@@ -4803,7 +4321,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="282" name="Convert_768663" type="Convert" version="opset1">
+		<layer id="257" name="Convert_125069" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -4822,8 +4340,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="283" name="self.decoder.up_blocks.0.resnets.0.conv2.weight_compressed/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="512, 1, 1, 1" offset="15262900" size="512" />
+		<layer id="258" name="self.decoder.up_blocks.0.upsamplers.0.conv.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="512, 1, 1, 1" offset="27118296" size="512" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>512</dim>
@@ -4833,7 +4351,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="284" name="Convert_768666" type="Convert" version="opset1">
+		<layer id="259" name="Convert_125072" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -4852,7 +4370,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="285" name="self.decoder.up_blocks.0.resnets.0.conv2.weight_compressed/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="260" name="self.decoder.up_blocks.0.upsamplers.0.conv.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -4877,8 +4395,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="286" name="self.decoder.up_blocks.0.resnets.0.conv2.weight_compressed/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="512, 1, 1, 1" offset="15263412" size="1024" />
+		<layer id="261" name="self.decoder.up_blocks.0.upsamplers.0.conv.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 1, 1, 1" offset="27118808" size="1024" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>512</dim>
@@ -4888,7 +4406,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="287" name="self.decoder.up_blocks.0.resnets.0.conv2.weight_compressed/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="262" name="self.decoder.up_blocks.0.upsamplers.0.conv.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -4913,11 +4431,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="288" name="self.decoder.up_blocks.0.resnets.0.conv2.weight" type="Convert" version="opset1">
+		<layer id="263" name="self.decoder.up_blocks.0.upsamplers.0.conv.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
 					<dim>512</dim>
@@ -4935,11 +4450,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="289" name="__module.decoder.up_blocks.0.resnets.0.conv2/aten::_convolution/Convolution" type="Convolution" version="opset1">
+		<layer id="264" name="__module.decoder.up_blocks.0.upsamplers.0.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>512</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
@@ -4953,17 +4468,17 @@
 			</input>
 			<output>
 				<port id="2" precision="FP32">
-					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>512</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="290" name="__module.decoder.up_blocks.0.resnets.0.conv2/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 512, 1, 1" offset="15264436" size="1024" />
+		<layer id="265" name="__module.decoder.up_blocks.0.upsamplers.0.conv/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 512, 1, 1" offset="27119832" size="2048" />
 			<output>
-				<port id="0" precision="FP16">
+				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>1</dim>
@@ -4971,13 +4486,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="291" name="__module.decoder.up_blocks.0.resnets.0.conv2/aten::_convolution/Reshape" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
+		<layer id="266" name="__module.decoder.up_blocks.0.upsamplers.0.conv/aten::_convolution/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP16">
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>1</dim>
@@ -4985,223 +4503,242 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="299,input.55">
+					<dim>-1</dim>
 					<dim>512</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="292" name="__module.decoder.up_blocks.0.resnets.0.conv2/aten::_convolution/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="267" name="self.decoder.up_blocks.1.resnets.0.norm1.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="512" offset="27121880" size="2048" />
+			<output>
+				<port id="0" precision="FP32" names="self.decoder.up_blocks.1.resnets.0.norm1.weight">
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="268" name="self.decoder.up_blocks.1.resnets.0.norm1.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="512" offset="27123928" size="2048" />
+			<output>
+				<port id="0" precision="FP32" names="self.decoder.up_blocks.1.resnets.0.norm1.bias">
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="269" name="__module.decoder.up_blocks.1.resnets.0.norm1/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
+			<data num_groups="32" epsilon="9.9999999747524271e-07" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>512</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
 					<dim>512</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+				</port>
+				<port id="2" precision="FP32">
+					<dim>512</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="227,hidden_states.19">
-					<dim>1</dim>
+				<port id="3" precision="FP32" names="315,input.57">
+					<dim>-1</dim>
 					<dim>512</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="293" name="__module.decoder.up_blocks.0.resnets.0/aten::add/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="270" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_10" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>512</dim>
-					<dim>-1</dim>
 					<dim>-1</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
 					<dim>512</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="228,229,input.35">
-					<dim>1</dim>
+				<port id="1" precision="FP32" names="316">
+					<dim>-1</dim>
 					<dim>512</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="294" name="__module.decoder.up_blocks.0.resnets.1.norm1/aten::group_norm/Constant" type="Const" version="opset1">
-			<data element_type="i32" shape="3" offset="21028" size="12" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="271" name="self.decoder.up_blocks.1.resnets.0.conv1.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="512, 512, 3, 3" offset="27125976" size="2359296" />
 			<output>
-				<port id="0" precision="I32">
+				<port id="0" precision="U8">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="295" name="__module.decoder.up_blocks.0.resnets.1.norm1/aten::group_norm/Reshape" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="272" name="Convert_125080" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
+				<port id="0" precision="U8">
+					<dim>512</dim>
 					<dim>512</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
-				</port>
-				<port id="1" precision="I32">
+					<dim>3</dim>
 					<dim>3</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
-					<dim>1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
+				<port id="1" precision="FP16">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="296" name="__module.decoder.up_blocks.0.resnets.1.norm1/aten::group_norm/Constant_1" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="21040" size="4" />
+		<layer id="273" name="self.decoder.up_blocks.1.resnets.0.conv1.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="512, 1, 1, 1" offset="29485272" size="512" />
 			<output>
-				<port id="0" precision="I32">
+				<port id="0" precision="U8">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="297" name="__module.decoder.up_blocks.0.resnets.1.norm1/aten::group_norm/MVN" type="MVN" version="opset6">
-			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+		<layer id="274" name="Convert_125083" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="U8">
+					<dim>512</dim>
+					<dim>1</dim>
 					<dim>1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-				</port>
-				<port id="1" precision="I32">
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="1" precision="FP16">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 					<dim>1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="298" name="__module.decoder.up_blocks.0.resnets.1.norm1/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
-			<data output_type="i32" />
+		<layer id="275" name="self.decoder.up_blocks.1.resnets.0.conv1.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
+				<port id="0" precision="FP16">
 					<dim>512</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="I32">
-					<dim>4</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="299" name="__module.decoder.up_blocks.0.resnets.1.norm1/aten::group_norm/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
-			<input>
-				<port id="0" precision="FP32">
+				<port id="1" precision="FP16">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 					<dim>1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-				</port>
-				<port id="1" precision="I32">
-					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
-					<dim>1</dim>
+				<port id="2" precision="FP16">
 					<dim>512</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="300" name="Constant_639304_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 512, 1, 1" offset="15265460" size="1024" />
+		<layer id="276" name="self.decoder.up_blocks.1.resnets.0.conv1.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 1, 1, 1" offset="29485784" size="1024" />
 			<output>
 				<port id="0" precision="FP16">
-					<dim>1</dim>
 					<dim>512</dim>
 					<dim>1</dim>
 					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="301" name="Constant_639304" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
+		<layer id="277" name="self.decoder.up_blocks.1.resnets.0.conv1.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
-					<dim>1</dim>
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="FP16">
 					<dim>512</dim>
 					<dim>1</dim>
 					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="278" name="self.decoder.up_blocks.1.resnets.0.conv1.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
 					<dim>512</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="302" name="__module.decoder.up_blocks.0.resnets.1.norm1/aten::group_norm/Multiply" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="279" name="__module.decoder.up_blocks.1.resnets.0.conv1/aten::_convolution/Convolution" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>512</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
 					<dim>512</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
 				</port>
 			</input>
 			<output>
 				<port id="2" precision="FP32">
-					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>512</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="303" name="Constant_639305_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 512, 1, 1" offset="15266484" size="1024" />
+		<layer id="280" name="__module.decoder.up_blocks.1.resnets.0.conv1/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 512, 1, 1" offset="29486808" size="2048" />
 			<output>
-				<port id="0" precision="FP16">
+				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>1</dim>
@@ -5209,13 +4746,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="304" name="Constant_639305" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
+		<layer id="281" name="__module.decoder.up_blocks.1.resnets.0.conv1/aten::_convolution/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP16">
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>1</dim>
@@ -5223,59 +4763,75 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="323,input.59">
+					<dim>-1</dim>
 					<dim>512</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="305" name="__module.decoder.up_blocks.0.resnets.1.norm1/aten::group_norm/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="282" name="self.decoder.up_blocks.1.resnets.0.norm2.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="512" offset="29488856" size="2048" />
+			<output>
+				<port id="0" precision="FP32" names="self.decoder.up_blocks.1.resnets.0.norm2.weight">
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="283" name="self.decoder.up_blocks.1.resnets.0.norm2.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="512" offset="29490904" size="2048" />
+			<output>
+				<port id="0" precision="FP32" names="self.decoder.up_blocks.1.resnets.0.norm2.bias">
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="284" name="__module.decoder.up_blocks.1.resnets.0.norm2/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
+			<data num_groups="32" epsilon="9.9999999747524271e-07" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>512</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
 					<dim>512</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+				</port>
+				<port id="2" precision="FP32">
+					<dim>512</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="237,input.37">
-					<dim>1</dim>
+				<port id="3" precision="FP32" names="326,input.61">
+					<dim>-1</dim>
 					<dim>512</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="306" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_6" type="Swish" version="opset4">
+		<layer id="285" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_11" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
-					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>512</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="238">
-					<dim>1</dim>
+				<port id="1" precision="FP32" names="327,input.63">
+					<dim>-1</dim>
 					<dim>512</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="307" name="self.decoder.up_blocks.0.resnets.1.conv1.weight_compressed" type="Const" version="opset1">
-			<data element_type="u8" shape="512, 512, 3, 3" offset="15267508" size="2359296" />
+		<layer id="286" name="self.decoder.up_blocks.1.resnets.0.conv2.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="512, 512, 3, 3" offset="29492952" size="2359296" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>512</dim>
@@ -5285,7 +4841,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="308" name="Convert_768673" type="Convert" version="opset1">
+		<layer id="287" name="Convert_125091" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -5304,8 +4860,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="309" name="self.decoder.up_blocks.0.resnets.1.conv1.weight_compressed/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="512, 1, 1, 1" offset="17626804" size="512" />
+		<layer id="288" name="self.decoder.up_blocks.1.resnets.0.conv2.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="512, 1, 1, 1" offset="31852248" size="512" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>512</dim>
@@ -5315,7 +4871,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="310" name="Convert_768676" type="Convert" version="opset1">
+		<layer id="289" name="Convert_125094" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -5334,7 +4890,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="311" name="self.decoder.up_blocks.0.resnets.1.conv1.weight_compressed/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="290" name="self.decoder.up_blocks.1.resnets.0.conv2.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -5359,8 +4915,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="312" name="self.decoder.up_blocks.0.resnets.1.conv1.weight_compressed/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="512, 1, 1, 1" offset="17627316" size="1024" />
+		<layer id="291" name="self.decoder.up_blocks.1.resnets.0.conv2.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 1, 1, 1" offset="31852760" size="1024" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>512</dim>
@@ -5370,7 +4926,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="313" name="self.decoder.up_blocks.0.resnets.1.conv1.weight_compressed/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="292" name="self.decoder.up_blocks.1.resnets.0.conv2.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -5395,11 +4951,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="314" name="self.decoder.up_blocks.0.resnets.1.conv1.weight" type="Convert" version="opset1">
+		<layer id="293" name="self.decoder.up_blocks.1.resnets.0.conv2.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
 					<dim>512</dim>
@@ -5417,11 +4970,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="315" name="__module.decoder.up_blocks.0.resnets.1.conv1/aten::_convolution/Convolution" type="Convolution" version="opset1">
+		<layer id="294" name="__module.decoder.up_blocks.1.resnets.0.conv2/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>512</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
@@ -5435,17 +4988,17 @@
 			</input>
 			<output>
 				<port id="2" precision="FP32">
-					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>512</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="316" name="__module.decoder.up_blocks.0.resnets.1.conv1/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 512, 1, 1" offset="17628340" size="1024" />
+		<layer id="295" name="__module.decoder.up_blocks.1.resnets.0.conv2/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 512, 1, 1" offset="31853784" size="2048" />
 			<output>
-				<port id="0" precision="FP16">
+				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>1</dim>
@@ -5453,13 +5006,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="317" name="__module.decoder.up_blocks.0.resnets.1.conv1/aten::_convolution/Reshape" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
+		<layer id="296" name="__module.decoder.up_blocks.1.resnets.0.conv2/aten::_convolution/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP16">
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>1</dim>
@@ -5467,220 +5023,267 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="335,hidden_states.27">
+					<dim>-1</dim>
 					<dim>512</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="318" name="__module.decoder.up_blocks.0.resnets.1.conv1/aten::_convolution/Add" type="Add" version="opset1">
+		<layer id="297" name="__module.decoder.up_blocks.1.resnets.0/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>512</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>512</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+					<dim>-1</dim>
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 				</port>
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 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
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+			<data element_type="f32" shape="512" offset="31855832" size="2048" />
 			<output>
-				<port id="0" precision="I32">
-					<dim>3</dim>
+				<port id="0" precision="FP32" names="self.decoder.up_blocks.1.resnets.1.norm1.weight">
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 				</port>
 			</output>
 		</layer>
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-			<data special_zero="true" />
+		<layer id="299" name="self.decoder.up_blocks.1.resnets.1.norm1.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="512" offset="31857880" size="2048" />
+			<output>
+				<port id="0" precision="FP32" names="self.decoder.up_blocks.1.resnets.1.norm1.bias">
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="300" name="__module.decoder.up_blocks.1.resnets.1.norm1/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
+			<data num_groups="32" epsilon="9.9999999747524271e-07" />
 			<input>
 				<port id="0" precision="FP32">
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+					<dim>-1</dim>
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 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
-				<port id="1" precision="I32">
-					<dim>3</dim>
+				<port id="1" precision="FP32">
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-			<output>
 				<port id="2" precision="FP32">
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-					<dim>32</dim>
-					<dim>-1</dim>
+					<dim>512</dim>
 				</port>
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-		</layer>
-		<layer id="321" name="__module.decoder.up_blocks.0.resnets.1.norm2/aten::group_norm/Constant_1" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="21040" size="4" />
+			</input>
 			<output>
-				<port id="0" precision="I32">
-					<dim>1</dim>
+				<port id="3" precision="FP32" names="345,input.67">
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+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="322" name="__module.decoder.up_blocks.0.resnets.1.norm2/aten::group_norm/MVN" type="MVN" version="opset6">
-			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+		<layer id="301" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_12" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
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 					<dim>-1</dim>
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-				<port id="1" precision="I32">
-					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
-					<dim>1</dim>
-					<dim>32</dim>
+				<port id="1" precision="FP32" names="346">
 					<dim>-1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="323" name="__module.decoder.up_blocks.0.resnets.1.norm2/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
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-				<port id="0" precision="FP32">
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 					<dim>512</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
-			</input>
+			</output>
+		</layer>
+		<layer id="302" name="self.decoder.up_blocks.1.resnets.1.conv1.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="512, 512, 3, 3" offset="31859928" size="2359296" />
 			<output>
-				<port id="1" precision="I32">
-					<dim>4</dim>
+				<port id="0" precision="U8">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="324" name="__module.decoder.up_blocks.0.resnets.1.norm2/aten::group_norm/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="303" name="Convert_125102" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="FP32">
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-					<dim>32</dim>
-					<dim>-1</dim>
-				</port>
-				<port id="1" precision="I32">
-					<dim>4</dim>
+				<port id="0" precision="U8">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
-					<dim>1</dim>
+				<port id="1" precision="FP16">
 					<dim>512</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="325" name="Constant_639306_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 512, 1, 1" offset="17629364" size="1024" />
+		<layer id="304" name="self.decoder.up_blocks.1.resnets.1.conv1.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="512, 1, 1, 1" offset="34219224" size="512" />
 			<output>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
+				<port id="0" precision="U8">
 					<dim>512</dim>
 					<dim>1</dim>
 					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="326" name="Constant_639306" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
+		<layer id="305" name="Convert_125105" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
+				<port id="0" precision="U8">
 					<dim>512</dim>
 					<dim>1</dim>
 					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
+				<port id="1" precision="FP16">
 					<dim>512</dim>
 					<dim>1</dim>
 					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="327" name="__module.decoder.up_blocks.0.resnets.1.norm2/aten::group_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="306" name="self.decoder.up_blocks.1.resnets.1.conv1.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
+				<port id="0" precision="FP16">
 					<dim>512</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
 				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
+				<port id="1" precision="FP16">
 					<dim>512</dim>
 					<dim>1</dim>
 					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
-					<dim>1</dim>
+				<port id="2" precision="FP16">
 					<dim>512</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="328" name="Constant_639307_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 512, 1, 1" offset="17630388" size="1024" />
+		<layer id="307" name="self.decoder.up_blocks.1.resnets.1.conv1.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 1, 1, 1" offset="34219736" size="1024" />
 			<output>
 				<port id="0" precision="FP16">
-					<dim>1</dim>
 					<dim>512</dim>
 					<dim>1</dim>
 					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="329" name="Constant_639307" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
+		<layer id="308" name="self.decoder.up_blocks.1.resnets.1.conv1.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
-					<dim>1</dim>
 					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>512</dim>
+					<dim>1</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
+				<port id="2" precision="FP16">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="309" name="self.decoder.up_blocks.1.resnets.1.conv1.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="310" name="__module.decoder.up_blocks.1.resnets.1.conv1/aten::_convolution/Convolution" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
 				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="311" name="__module.decoder.up_blocks.1.resnets.1.conv1/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 512, 1, 1" offset="34220760" size="2048" />
+			<output>
+				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>1</dim>
@@ -5688,11 +5291,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="330" name="__module.decoder.up_blocks.0.resnets.1.norm2/aten::group_norm/Add" type="Add" version="opset1">
+		<layer id="312" name="__module.decoder.up_blocks.1.resnets.1.conv1/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>512</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
@@ -5705,34 +5308,75 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="248,input.41">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="353,input.69">
+					<dim>-1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="313" name="self.decoder.up_blocks.1.resnets.1.norm2.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="512" offset="34222808" size="2048" />
+			<output>
+				<port id="0" precision="FP32" names="self.decoder.up_blocks.1.resnets.1.norm2.weight">
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="314" name="self.decoder.up_blocks.1.resnets.1.norm2.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="512" offset="34224856" size="2048" />
+			<output>
+				<port id="0" precision="FP32" names="self.decoder.up_blocks.1.resnets.1.norm2.bias">
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="315" name="__module.decoder.up_blocks.1.resnets.1.norm2/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
+			<data num_groups="32" epsilon="9.9999999747524271e-07" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+				</port>
+				<port id="2" precision="FP32">
+					<dim>512</dim>
+				</port>
+			</input>
+			<output>
+				<port id="3" precision="FP32" names="356,input.71">
+					<dim>-1</dim>
 					<dim>512</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="331" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_7" type="Swish" version="opset4">
+		<layer id="316" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_13" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
-					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>512</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="249,input.43">
-					<dim>1</dim>
+				<port id="1" precision="FP32" names="357,input.73">
+					<dim>-1</dim>
 					<dim>512</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="332" name="self.decoder.up_blocks.0.resnets.1.conv2.weight_compressed" type="Const" version="opset1">
-			<data element_type="u8" shape="512, 512, 3, 3" offset="17631412" size="2359296" />
+		<layer id="317" name="self.decoder.up_blocks.1.resnets.1.conv2.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="512, 512, 3, 3" offset="34226904" size="2359296" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>512</dim>
@@ -5742,7 +5386,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="333" name="Convert_768683" type="Convert" version="opset1">
+		<layer id="318" name="Convert_125113" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -5761,8 +5405,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="334" name="self.decoder.up_blocks.0.resnets.1.conv2.weight_compressed/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="512, 1, 1, 1" offset="19990708" size="512" />
+		<layer id="319" name="self.decoder.up_blocks.1.resnets.1.conv2.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="512, 1, 1, 1" offset="36586200" size="512" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>512</dim>
@@ -5772,7 +5416,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="335" name="Convert_768686" type="Convert" version="opset1">
+		<layer id="320" name="Convert_125116" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -5791,7 +5435,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="336" name="self.decoder.up_blocks.0.resnets.1.conv2.weight_compressed/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="321" name="self.decoder.up_blocks.1.resnets.1.conv2.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -5816,8 +5460,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="337" name="self.decoder.up_blocks.0.resnets.1.conv2.weight_compressed/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="512, 1, 1, 1" offset="19991220" size="1024" />
+		<layer id="322" name="self.decoder.up_blocks.1.resnets.1.conv2.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 1, 1, 1" offset="36586712" size="1024" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>512</dim>
@@ -5827,7 +5471,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="338" name="self.decoder.up_blocks.0.resnets.1.conv2.weight_compressed/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="323" name="self.decoder.up_blocks.1.resnets.1.conv2.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -5852,11 +5496,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="339" name="self.decoder.up_blocks.0.resnets.1.conv2.weight" type="Convert" version="opset1">
+		<layer id="324" name="self.decoder.up_blocks.1.resnets.1.conv2.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
 					<dim>512</dim>
@@ -5874,11 +5515,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="340" name="__module.decoder.up_blocks.0.resnets.1.conv2/aten::_convolution/Convolution" type="Convolution" version="opset1">
+		<layer id="325" name="__module.decoder.up_blocks.1.resnets.1.conv2/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
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@@ -5892,39 +5533,17 @@
 			</input>
 			<output>
 				<port id="2" precision="FP32">
-					<dim>1</dim>
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 					<dim>512</dim>
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 					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
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-					<dim>1</dim>
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-		<layer id="342" name="__module.decoder.up_blocks.0.resnets.1.conv2/aten::_convolution/Reshape" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
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-					<dim>512</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
-			</input>
+		<layer id="326" name="__module.decoder.up_blocks.1.resnets.1.conv2/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 512, 1, 1" offset="36587736" size="2048" />
 			<output>
-				<port id="1" precision="FP32">
+				<port id="0" precision="FP32">
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 					<dim>512</dim>
 					<dim>1</dim>
@@ -5932,11 +5551,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="343" name="__module.decoder.up_blocks.0.resnets.1.conv2/aten::_convolution/Add" type="Add" version="opset1">
+		<layer id="327" name="__module.decoder.up_blocks.1.resnets.1.conv2/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
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+					<dim>-1</dim>
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 					<dim>-1</dim>
 					<dim>-1</dim>
@@ -5949,220 +5568,267 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="257,hidden_states.21">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="365,hidden_states.29">
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 					<dim>512</dim>
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 				</port>
 			</output>
 		</layer>
-		<layer id="344" name="__module.decoder.up_blocks.0.resnets.1/aten::add/Add" type="Add" version="opset1">
+		<layer id="328" name="__module.decoder.up_blocks.1.resnets.1/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
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 				</port>
 				<port id="1" precision="FP32">
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 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="258,259,input.45">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="366,367,input.75">
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 					<dim>512</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="329" name="self.decoder.up_blocks.1.resnets.2.norm1.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="512" offset="36589784" size="2048" />
 			<output>
-				<port id="0" precision="I32">
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-			<data special_zero="true" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
+				<port id="0" precision="FP32" names="self.decoder.up_blocks.1.resnets.2.norm1.weight">
 					<dim>512</dim>
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-					<dim>-1</dim>
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-				<port id="1" precision="I32">
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 				</port>
 			</output>
 		</layer>
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-			<data element_type="i32" shape="1" offset="21040" size="4" />
+		<layer id="330" name="self.decoder.up_blocks.1.resnets.2.norm1.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="512" offset="36591832" size="2048" />
 			<output>
-				<port id="0" precision="I32">
-					<dim>1</dim>
+				<port id="0" precision="FP32" names="self.decoder.up_blocks.1.resnets.2.norm1.bias">
+					<dim>512</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="348" name="__module.decoder.up_blocks.0.resnets.2.norm1/aten::group_norm/MVN" type="MVN" version="opset6">
-			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+		<layer id="331" name="__module.decoder.up_blocks.1.resnets.2.norm1/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
+			<data num_groups="32" epsilon="9.9999999747524271e-07" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>32</dim>
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+					<dim>512</dim>
+					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
-				<port id="1" precision="I32">
-					<dim>1</dim>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+				</port>
+				<port id="2" precision="FP32">
+					<dim>512</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
-					<dim>1</dim>
-					<dim>32</dim>
+				<port id="3" precision="FP32" names="375,input.77">
 					<dim>-1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="349" name="__module.decoder.up_blocks.0.resnets.2.norm1/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
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-				<port id="0" precision="FP32">
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-			<output>
-				<port id="1" precision="I32">
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-				</port>
 			</output>
 		</layer>
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-			<data special_zero="true" />
+		<layer id="332" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_14" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
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 					<dim>-1</dim>
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-				<port id="1" precision="I32">
-					<dim>4</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
-					<dim>1</dim>
+				<port id="1" precision="FP32" names="376">
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 					<dim>512</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="351" name="Constant_639308_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 512, 1, 1" offset="19993268" size="1024" />
+		<layer id="333" name="self.decoder.up_blocks.1.resnets.2.conv1.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="512, 512, 3, 3" offset="36593880" size="2359296" />
 			<output>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
+				<port id="0" precision="U8">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="334" name="Convert_125124" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="335" name="self.decoder.up_blocks.1.resnets.2.conv1.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="512, 1, 1, 1" offset="38953176" size="512" />
+			<output>
+				<port id="0" precision="U8">
 					<dim>512</dim>
 					<dim>1</dim>
 					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="352" name="Constant_639308" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
+		<layer id="336" name="Convert_125127" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
+				<port id="0" precision="U8">
 					<dim>512</dim>
 					<dim>1</dim>
 					<dim>1</dim>
+					<dim>1</dim>
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 			</input>
 			<output>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
+				<port id="1" precision="FP16">
 					<dim>512</dim>
 					<dim>1</dim>
 					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="353" name="__module.decoder.up_blocks.0.resnets.2.norm1/aten::group_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="337" name="self.decoder.up_blocks.1.resnets.2.conv1.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
+				<port id="0" precision="FP16">
 					<dim>512</dim>
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-					<dim>-1</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
 				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
+				<port id="1" precision="FP16">
 					<dim>512</dim>
 					<dim>1</dim>
 					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
-					<dim>1</dim>
+				<port id="2" precision="FP16">
 					<dim>512</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="354" name="Constant_639309_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 512, 1, 1" offset="19994292" size="1024" />
+		<layer id="338" name="self.decoder.up_blocks.1.resnets.2.conv1.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 1, 1, 1" offset="38953688" size="1024" />
 			<output>
 				<port id="0" precision="FP16">
-					<dim>1</dim>
 					<dim>512</dim>
 					<dim>1</dim>
 					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="355" name="Constant_639309" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
+		<layer id="339" name="self.decoder.up_blocks.1.resnets.2.conv1.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
-					<dim>1</dim>
 					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>512</dim>
+					<dim>1</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
+				<port id="2" precision="FP16">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="340" name="self.decoder.up_blocks.1.resnets.2.conv1.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="341" name="__module.decoder.up_blocks.1.resnets.2.conv1/aten::_convolution/Convolution" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
 				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="342" name="__module.decoder.up_blocks.1.resnets.2.conv1/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 512, 1, 1" offset="38954712" size="2048" />
+			<output>
+				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>1</dim>
@@ -6170,11 +5836,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="356" name="__module.decoder.up_blocks.0.resnets.2.norm1/aten::group_norm/Add" type="Add" version="opset1">
+		<layer id="343" name="__module.decoder.up_blocks.1.resnets.2.conv1/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>512</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
@@ -6187,34 +5853,75 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="267,input.47">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="383,input.79">
+					<dim>-1</dim>
 					<dim>512</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="357" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_8" type="Swish" version="opset4">
+		<layer id="344" name="self.decoder.up_blocks.1.resnets.2.norm2.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="512" offset="38956760" size="2048" />
+			<output>
+				<port id="0" precision="FP32" names="self.decoder.up_blocks.1.resnets.2.norm2.weight">
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="345" name="self.decoder.up_blocks.1.resnets.2.norm2.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="512" offset="38958808" size="2048" />
+			<output>
+				<port id="0" precision="FP32" names="self.decoder.up_blocks.1.resnets.2.norm2.bias">
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="346" name="__module.decoder.up_blocks.1.resnets.2.norm2/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
+			<data num_groups="32" epsilon="9.9999999747524271e-07" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>512</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+				</port>
+				<port id="2" precision="FP32">
+					<dim>512</dim>
+				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="268">
-					<dim>1</dim>
+				<port id="3" precision="FP32" names="386,input.81">
+					<dim>-1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="347" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_15" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="387,input.83">
+					<dim>-1</dim>
 					<dim>512</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="358" name="self.decoder.up_blocks.0.resnets.2.conv1.weight_compressed" type="Const" version="opset1">
-			<data element_type="u8" shape="512, 512, 3, 3" offset="19995316" size="2359296" />
+		<layer id="348" name="self.decoder.up_blocks.1.resnets.2.conv2.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="512, 512, 3, 3" offset="38960856" size="2359296" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>512</dim>
@@ -6224,7 +5931,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="359" name="Convert_768693" type="Convert" version="opset1">
+		<layer id="349" name="Convert_125135" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -6243,8 +5950,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="360" name="self.decoder.up_blocks.0.resnets.2.conv1.weight_compressed/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="512, 1, 1, 1" offset="22354612" size="512" />
+		<layer id="350" name="self.decoder.up_blocks.1.resnets.2.conv2.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="512, 1, 1, 1" offset="41320152" size="512" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>512</dim>
@@ -6254,7 +5961,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="361" name="Convert_768696" type="Convert" version="opset1">
+		<layer id="351" name="Convert_125138" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -6273,7 +5980,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="362" name="self.decoder.up_blocks.0.resnets.2.conv1.weight_compressed/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="352" name="self.decoder.up_blocks.1.resnets.2.conv2.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -6298,8 +6005,8 @@
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 			</output>
 		</layer>
-		<layer id="363" name="self.decoder.up_blocks.0.resnets.2.conv1.weight_compressed/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="512, 1, 1, 1" offset="22355124" size="1024" />
+		<layer id="353" name="self.decoder.up_blocks.1.resnets.2.conv2.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 1, 1, 1" offset="41320664" size="1024" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>512</dim>
@@ -6309,7 +6016,7 @@
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 		</layer>
-		<layer id="364" name="self.decoder.up_blocks.0.resnets.2.conv1.weight_compressed/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="354" name="self.decoder.up_blocks.1.resnets.2.conv2.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
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 				<port id="0" precision="FP16">
@@ -6334,11 +6041,8 @@
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 			</output>
 		</layer>
-		<layer id="365" name="self.decoder.up_blocks.0.resnets.2.conv1.weight" type="Convert" version="opset1">
+		<layer id="355" name="self.decoder.up_blocks.1.resnets.2.conv2.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
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 			<input>
 				<port id="0" precision="FP16">
 					<dim>512</dim>
@@ -6356,11 +6060,11 @@
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 			</output>
 		</layer>
-		<layer id="366" name="__module.decoder.up_blocks.0.resnets.2.conv1/aten::_convolution/Convolution" type="Convolution" version="opset1">
+		<layer id="356" name="__module.decoder.up_blocks.1.resnets.2.conv2/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>512</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
@@ -6374,17 +6078,17 @@
 			</input>
 			<output>
 				<port id="2" precision="FP32">
-					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>512</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="367" name="__module.decoder.up_blocks.0.resnets.2.conv1/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 512, 1, 1" offset="22356148" size="1024" />
+		<layer id="357" name="__module.decoder.up_blocks.1.resnets.2.conv2/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 512, 1, 1" offset="41321688" size="2048" />
 			<output>
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+				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>1</dim>
@@ -6392,13 +6096,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="368" name="__module.decoder.up_blocks.0.resnets.2.conv1/aten::_convolution/Reshape" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
+		<layer id="358" name="__module.decoder.up_blocks.1.resnets.2.conv2/aten::_convolution/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP16">
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
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+				<port id="1" precision="FP32">
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 					<dim>512</dim>
 					<dim>1</dim>
@@ -6406,316 +6113,327 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="395,hidden_states.31">
+					<dim>-1</dim>
 					<dim>512</dim>
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-					<dim>1</dim>
+					<dim>-1</dim>
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 				</port>
 			</output>
 		</layer>
-		<layer id="369" name="__module.decoder.up_blocks.0.resnets.2.conv1/aten::_convolution/Add" type="Add" version="opset1">
+		<layer id="359" name="__module.decoder.up_blocks.1.resnets.2/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
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 					<dim>512</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 				<port id="1" precision="FP32">
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 					<dim>512</dim>
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+					<dim>-1</dim>
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 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="275,input.49">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="396,397,hidden_states.33">
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 					<dim>512</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="360" name="__module.decoder.up_blocks.1.upsamplers.0/aten::upsample_nearest2d/Multiply" type="Const" version="opset1">
+			<data element_type="f32" shape="2" offset="24758984" size="8" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="361" name="Constant_97979" type="Const" version="opset1">
+			<data element_type="i32" shape="2" offset="24758992" size="8" />
 			<output>
 				<port id="0" precision="I32">
-					<dim>3</dim>
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 				</port>
 			</output>
 		</layer>
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-			<data special_zero="true" />
+		<layer id="362" name="__module.decoder.up_blocks.1.upsamplers.0/aten::upsample_nearest2d/Interpolate" type="Interpolate" version="opset11">
+			<data mode="nearest" shape_calculation_mode="scales" coordinate_transformation_mode="asymmetric" nearest_mode="floor" antialias="false" pads_begin="0, 0, 0, 0" pads_end="0, 0, 0, 0" cube_coeff="-0.75" />
 			<input>
 				<port id="0" precision="FP32">
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 					<dim>-1</dim>
 				</port>
-				<port id="1" precision="I32">
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+				<port id="1" precision="FP32">
+					<dim>2</dim>
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+				<port id="2" precision="I32">
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 				</port>
 			</input>
 			<output>
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-					<dim>32</dim>
+				<port id="3" precision="FP32" names="400">
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+					<dim>512</dim>
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 					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
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-			<data element_type="i32" shape="1" offset="21040" size="4" />
+		<layer id="363" name="self.decoder.up_blocks.1.upsamplers.0.conv.weight" type="Const" version="opset1">
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 			<output>
-				<port id="0" precision="I32">
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+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
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+		<layer id="364" name="Convert_125146" type="Convert" version="opset1">
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 			<input>
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-				<port id="1" precision="I32">
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+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
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 			</input>
 			<output>
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-					<dim>-1</dim>
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+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
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-			</input>
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 			<output>
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+					<dim>1</dim>
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 		</layer>
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-			<data special_zero="true" />
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 			<input>
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 			<output>
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-			<rt_info>
-				<attribute name="decompression" version="0" />
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 				<port id="0" precision="FP16">
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+					<dim>3</dim>
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 					<dim>1</dim>
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 			<output>
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+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
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 			<output>
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 			<output>
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-					<dim>1</dim>
+				<port id="2" precision="FP32" names="407,input.85">
+					<dim>-1</dim>
 					<dim>512</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="383" name="self.decoder.up_blocks.0.resnets.2.conv2.weight_compressed" type="Const" version="opset1">
-			<data element_type="u8" shape="512, 512, 3, 3" offset="22359220" size="2359296" />
+		<layer id="374" name="self.decoder.up_blocks.2.resnets.0.conv_shortcut.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="256, 512, 1, 1" offset="43686616" size="131072" />
 			<output>
 				<port id="0" precision="U8">
+					<dim>256</dim>
 					<dim>512</dim>
-					<dim>512</dim>
-					<dim>3</dim>
-					<dim>3</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="384" name="Convert_768703" type="Convert" version="opset1">
+		<layer id="375" name="Convert_125344" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
+					<dim>256</dim>
 					<dim>512</dim>
-					<dim>512</dim>
-					<dim>3</dim>
-					<dim>3</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP16">
+					<dim>256</dim>
 					<dim>512</dim>
-					<dim>512</dim>
-					<dim>3</dim>
-					<dim>3</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="385" name="self.decoder.up_blocks.0.resnets.2.conv2.weight_compressed/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="512, 1, 1, 1" offset="24718516" size="512" />
+		<layer id="376" name="self.decoder.up_blocks.2.resnets.0.conv_shortcut.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="256, 1, 1, 1" offset="43817688" size="256" />
 			<output>
 				<port id="0" precision="U8">
-					<dim>512</dim>
+					<dim>256</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="386" name="Convert_768706" type="Convert" version="opset1">
+		<layer id="377" name="Convert_125347" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
-					<dim>512</dim>
+					<dim>256</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -6723,24 +6441,24 @@
 			</input>
 			<output>
 				<port id="1" precision="FP16">
-					<dim>512</dim>
+					<dim>256</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="387" name="self.decoder.up_blocks.0.resnets.2.conv2.weight_compressed/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="378" name="self.decoder.up_blocks.2.resnets.0.conv_shortcut.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
+					<dim>256</dim>
 					<dim>512</dim>
-					<dim>512</dim>
-					<dim>3</dim>
-					<dim>3</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 				<port id="1" precision="FP16">
-					<dim>512</dim>
+					<dim>256</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -6748,35 +6466,35 @@
 			</input>
 			<output>
 				<port id="2" precision="FP16">
+					<dim>256</dim>
 					<dim>512</dim>
-					<dim>512</dim>
-					<dim>3</dim>
-					<dim>3</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="388" name="self.decoder.up_blocks.0.resnets.2.conv2.weight_compressed/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="512, 1, 1, 1" offset="24719028" size="1024" />
+		<layer id="379" name="self.decoder.up_blocks.2.resnets.0.conv_shortcut.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="256, 1, 1, 1" offset="43817944" size="512" />
 			<output>
 				<port id="0" precision="FP16">
-					<dim>512</dim>
+					<dim>256</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="389" name="self.decoder.up_blocks.0.resnets.2.conv2.weight_compressed/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="380" name="self.decoder.up_blocks.2.resnets.0.conv_shortcut.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
+					<dim>256</dim>
 					<dim>512</dim>
-					<dim>512</dim>
-					<dim>3</dim>
-					<dim>3</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 				<port id="1" precision="FP16">
-					<dim>512</dim>
+					<dim>256</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -6784,203 +6502,168 @@
 			</input>
 			<output>
 				<port id="2" precision="FP16">
+					<dim>256</dim>
 					<dim>512</dim>
-					<dim>512</dim>
-					<dim>3</dim>
-					<dim>3</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="390" name="self.decoder.up_blocks.0.resnets.2.conv2.weight" type="Convert" version="opset1">
+		<layer id="381" name="self.decoder.up_blocks.2.resnets.0.conv_shortcut.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
+					<dim>256</dim>
 					<dim>512</dim>
-					<dim>512</dim>
-					<dim>3</dim>
-					<dim>3</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP32">
+					<dim>256</dim>
 					<dim>512</dim>
-					<dim>512</dim>
-					<dim>3</dim>
-					<dim>3</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="391" name="__module.decoder.up_blocks.0.resnets.2.conv2/aten::_convolution/Convolution" type="Convolution" version="opset1">
-			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
+		<layer id="382" name="__module.decoder.up_blocks.2.resnets.0.conv_shortcut/aten::_convolution/Convolution" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>512</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 				<port id="1" precision="FP32">
+					<dim>256</dim>
 					<dim>512</dim>
-					<dim>512</dim>
-					<dim>3</dim>
-					<dim>3</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
 				<port id="2" precision="FP32">
-					<dim>1</dim>
-					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>256</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="392" name="__module.decoder.up_blocks.0.resnets.2.conv2/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 512, 1, 1" offset="24720052" size="1024" />
+		<layer id="383" name="__module.decoder.up_blocks.2.resnets.0.conv_shortcut/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 256, 1, 1" offset="43818456" size="1024" />
 			<output>
-				<port id="0" precision="FP16">
+				<port id="0" precision="FP32">
 					<dim>1</dim>
-					<dim>512</dim>
+					<dim>256</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="393" name="__module.decoder.up_blocks.0.resnets.2.conv2/aten::_convolution/Reshape" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
+		<layer id="384" name="__module.decoder.up_blocks.2.resnets.0.conv_shortcut/aten::_convolution/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP16">
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
 					<dim>1</dim>
-					<dim>512</dim>
+					<dim>256</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="451,input_tensor.1">
+					<dim>-1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="385" name="self.decoder.up_blocks.2.resnets.0.norm1.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="512" offset="43819480" size="2048" />
+			<output>
+				<port id="0" precision="FP32" names="self.decoder.up_blocks.2.resnets.0.norm1.weight">
 					<dim>512</dim>
-					<dim>1</dim>
-					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="394" name="__module.decoder.up_blocks.0.resnets.2.conv2/aten::_convolution/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="386" name="self.decoder.up_blocks.2.resnets.0.norm1.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="512" offset="43821528" size="2048" />
+			<output>
+				<port id="0" precision="FP32" names="self.decoder.up_blocks.2.resnets.0.norm1.bias">
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="387" name="__module.decoder.up_blocks.2.resnets.0.norm1/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
+			<data num_groups="32" epsilon="9.9999999747524271e-07" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>512</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
 					<dim>512</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+				</port>
+				<port id="2" precision="FP32">
+					<dim>512</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="287,hidden_states.23">
-					<dim>1</dim>
+				<port id="3" precision="FP32" names="424,input.87">
+					<dim>-1</dim>
 					<dim>512</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="395" name="__module.decoder.up_blocks.0.resnets.2/aten::add/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="388" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_16" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>512</dim>
-					<dim>-1</dim>
 					<dim>-1</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
 					<dim>512</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="288,289,hidden_states.25">
-					<dim>1</dim>
-					<dim>512</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="396" name="__module.decoder.up_blocks.0.upsamplers.0/aten::upsample_nearest2d/Multiply" type="Const" version="opset1">
-			<data element_type="f32" shape="2" offset="24721076" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="FP32">
-					<dim>2</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="397" name="Constant_628489" type="Const" version="opset1">
-			<data element_type="i32" shape="2" offset="24721084" size="8" />
-			<output>
-				<port id="0" precision="I32">
-					<dim>2</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="398" name="__module.decoder.up_blocks.0.upsamplers.0/aten::upsample_nearest2d/Interpolate" type="Interpolate" version="opset11">
-			<data mode="nearest" shape_calculation_mode="scales" coordinate_transformation_mode="asymmetric" nearest_mode="floor" antialias="false" pads_begin="0, 0, 0, 0" pads_end="0, 0, 0, 0" cube_coeff="-0.75" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>512</dim>
-					<dim>-1</dim>
+				<port id="1" precision="FP32" names="425">
 					<dim>-1</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>2</dim>
-				</port>
-				<port id="2" precision="I32">
-					<dim>2</dim>
-				</port>
-			</input>
-			<output>
-				<port id="3" precision="FP32" names="292">
-					<dim>1</dim>
 					<dim>512</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="399" name="self.decoder.up_blocks.0.upsamplers.0.conv.weight_compressed" type="Const" version="opset1">
-			<data element_type="u8" shape="512, 512, 3, 3" offset="24721092" size="2359296" />
+		<layer id="389" name="self.decoder.up_blocks.2.resnets.0.conv1.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="256, 512, 3, 3" offset="43823576" size="1179648" />
 			<output>
 				<port id="0" precision="U8">
-					<dim>512</dim>
+					<dim>256</dim>
 					<dim>512</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="400" name="Convert_768713" type="Convert" version="opset1">
+		<layer id="390" name="Convert_125157" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
-					<dim>512</dim>
+					<dim>256</dim>
 					<dim>512</dim>
 					<dim>3</dim>
 					<dim>3</dim>
@@ -6988,29 +6671,29 @@
 			</input>
 			<output>
 				<port id="1" precision="FP16">
-					<dim>512</dim>
+					<dim>256</dim>
 					<dim>512</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="401" name="self.decoder.up_blocks.0.upsamplers.0.conv.weight_compressed/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="512, 1, 1, 1" offset="27080388" size="512" />
+		<layer id="391" name="self.decoder.up_blocks.2.resnets.0.conv1.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="256, 1, 1, 1" offset="45003224" size="256" />
 			<output>
 				<port id="0" precision="U8">
-					<dim>512</dim>
+					<dim>256</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="402" name="Convert_768716" type="Convert" version="opset1">
+		<layer id="392" name="Convert_125160" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
-					<dim>512</dim>
+					<dim>256</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -7018,24 +6701,24 @@
 			</input>
 			<output>
 				<port id="1" precision="FP16">
-					<dim>512</dim>
+					<dim>256</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="403" name="self.decoder.up_blocks.0.upsamplers.0.conv.weight_compressed/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="393" name="self.decoder.up_blocks.2.resnets.0.conv1.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
-					<dim>512</dim>
+					<dim>256</dim>
 					<dim>512</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
 				<port id="1" precision="FP16">
-					<dim>512</dim>
+					<dim>256</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -7043,35 +6726,35 @@
 			</input>
 			<output>
 				<port id="2" precision="FP16">
-					<dim>512</dim>
+					<dim>256</dim>
 					<dim>512</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="404" name="self.decoder.up_blocks.0.upsamplers.0.conv.weight_compressed/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="512, 1, 1, 1" offset="27080900" size="1024" />
+		<layer id="394" name="self.decoder.up_blocks.2.resnets.0.conv1.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="256, 1, 1, 1" offset="45003480" size="512" />
 			<output>
 				<port id="0" precision="FP16">
-					<dim>512</dim>
+					<dim>256</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="405" name="self.decoder.up_blocks.0.upsamplers.0.conv.weight_compressed/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="395" name="self.decoder.up_blocks.2.resnets.0.conv1.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
-					<dim>512</dim>
+					<dim>256</dim>
 					<dim>512</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
 				<port id="1" precision="FP16">
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@@ -7079,21 +6762,18 @@
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 				</port>
 			</output>
 		</layer>
-		<layer id="406" name="self.decoder.up_blocks.0.upsamplers.0.conv.weight" type="Convert" version="opset1">
+		<layer id="396" name="self.decoder.up_blocks.2.resnets.0.conv1.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
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@@ -7101,24 +6781,24 @@
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 			<output>
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 		</layer>
-		<layer id="407" name="__module.decoder.up_blocks.0.upsamplers.0.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
+		<layer id="397" name="__module.decoder.up_blocks.2.resnets.0.conv1/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
 			<input>
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@@ -7126,6057 +6806,215 @@
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+		<layer id="398" name="__module.decoder.up_blocks.2.resnets.0.conv1/aten::_convolution/Reshape" type="Const" version="opset1">
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 		</layer>
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+		<layer id="402" name="__module.decoder.up_blocks.2.resnets.0.norm2/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
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-					<dim>3</dim>
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-		<layer id="736" name="self.decoder.up_blocks.2.resnets.2.conv2.weight_compressed/scale" type="Const" version="opset1">
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-				<port id="0" precision="FP16">
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-					<dim>3</dim>
-				</port>
-				<port id="1" precision="FP16">
-					<dim>256</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="FP16">
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@@ -13191,11 +7029,8 @@
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 			</output>
 		</layer>
-		<layer id="738" name="self.decoder.up_blocks.2.resnets.2.conv2.weight" type="Convert" version="opset1">
+		<layer id="411" name="self.decoder.up_blocks.2.resnets.0.conv2.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
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 			<input>
 				<port id="0" precision="FP16">
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@@ -13213,11 +7048,11 @@
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 			</output>
 		</layer>
-		<layer id="739" name="__module.decoder.up_blocks.2.resnets.2.conv2/aten::_convolution/Convolution" type="Convolution" version="opset1">
+		<layer id="412" name="__module.decoder.up_blocks.2.resnets.0.conv2/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
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 					<dim>-1</dim>
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@@ -13231,39 +7066,17 @@
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 			<output>
 				<port id="2" precision="FP32">
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 					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
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-					<dim>1</dim>
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-			</input>
+		<layer id="413" name="__module.decoder.up_blocks.2.resnets.0.conv2/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 256, 1, 1" offset="45597656" size="1024" />
 			<output>
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 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>1</dim>
@@ -13271,11 +7084,11 @@
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 			</output>
 		</layer>
-		<layer id="742" name="__module.decoder.up_blocks.2.resnets.2.conv2/aten::_convolution/Add" type="Add" version="opset1">
+		<layer id="414" name="__module.decoder.up_blocks.2.resnets.0.conv2/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
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+					<dim>-1</dim>
 					<dim>256</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
@@ -13288,85 +7101,100 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="511,hidden_states.39">
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+				<port id="2" precision="FP32" names="444,hidden_states.35">
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 					<dim>256</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
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 			</output>
 		</layer>
-		<layer id="743" name="__module.decoder.up_blocks.2.resnets.2/aten::add/Add" type="Add" version="opset1">
+		<layer id="415" name="__module.decoder.up_blocks.2.resnets.0/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
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 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 				<port id="1" precision="FP32">
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 					<dim>256</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="512,513,hidden_states.41">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="452,453,input.95">
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 					<dim>256</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="416" name="self.decoder.up_blocks.2.resnets.1.norm1.weight" type="Const" version="opset1">
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 			<output>
-				<port id="0" precision="FP32">
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+				<port id="0" precision="FP32" names="self.decoder.up_blocks.2.resnets.1.norm1.weight">
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 				</port>
 			</output>
 		</layer>
-		<layer id="745" name="Constant_629630" type="Const" version="opset1">
-			<data element_type="i32" shape="2" offset="24721084" size="8" />
+		<layer id="417" name="self.decoder.up_blocks.2.resnets.1.norm1.bias" type="Const" version="opset1">
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 			<output>
-				<port id="0" precision="I32">
-					<dim>2</dim>
+				<port id="0" precision="FP32" names="self.decoder.up_blocks.2.resnets.1.norm1.bias">
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 				</port>
 			</output>
 		</layer>
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+		<layer id="418" name="__module.decoder.up_blocks.2.resnets.1.norm1/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
+			<data num_groups="32" epsilon="9.9999999747524271e-07" />
 			<input>
 				<port id="0" precision="FP32">
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+					<dim>-1</dim>
 					<dim>256</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 				<port id="1" precision="FP32">
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+					<dim>256</dim>
 				</port>
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-					<dim>2</dim>
+				<port id="2" precision="FP32">
+					<dim>256</dim>
 				</port>
 			</input>
 			<output>
-				<port id="3" precision="FP32" names="516">
-					<dim>1</dim>
+				<port id="3" precision="FP32" names="461,input.97">
+					<dim>-1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="419" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_18" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="462">
+					<dim>-1</dim>
 					<dim>256</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="747" name="self.decoder.up_blocks.2.upsamplers.0.conv.weight_compressed" type="Const" version="opset1">
-			<data element_type="u8" shape="256, 256, 3, 3" offset="47904196" size="589824" />
+		<layer id="420" name="self.decoder.up_blocks.2.resnets.1.conv1.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="256, 256, 3, 3" offset="45600728" size="589824" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>256</dim>
@@ -13376,7 +7204,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="748" name="Convert_768863" type="Convert" version="opset1">
+		<layer id="421" name="Convert_125179" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -13395,8 +7223,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="749" name="self.decoder.up_blocks.2.upsamplers.0.conv.weight_compressed/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="256, 1, 1, 1" offset="48494020" size="256" />
+		<layer id="422" name="self.decoder.up_blocks.2.resnets.1.conv1.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="256, 1, 1, 1" offset="46190552" size="256" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>256</dim>
@@ -13406,7 +7234,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="750" name="Convert_768866" type="Convert" version="opset1">
+		<layer id="423" name="Convert_125182" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -13425,7 +7253,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="751" name="self.decoder.up_blocks.2.upsamplers.0.conv.weight_compressed/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="424" name="self.decoder.up_blocks.2.resnets.1.conv1.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -13450,8 +7278,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="752" name="self.decoder.up_blocks.2.upsamplers.0.conv.weight_compressed/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="256, 1, 1, 1" offset="48494276" size="512" />
+		<layer id="425" name="self.decoder.up_blocks.2.resnets.1.conv1.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="256, 1, 1, 1" offset="46190808" size="512" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>256</dim>
@@ -13461,7 +7289,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="753" name="self.decoder.up_blocks.2.upsamplers.0.conv.weight_compressed/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="426" name="self.decoder.up_blocks.2.resnets.1.conv1.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -13486,11 +7314,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="754" name="self.decoder.up_blocks.2.upsamplers.0.conv.weight" type="Convert" version="opset1">
+		<layer id="427" name="self.decoder.up_blocks.2.resnets.1.conv1.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
 					<dim>256</dim>
@@ -13508,11 +7333,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="755" name="__module.decoder.up_blocks.2.upsamplers.0.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
+		<layer id="428" name="__module.decoder.up_blocks.2.resnets.1.conv1/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>256</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
@@ -13526,17 +7351,17 @@
 			</input>
 			<output>
 				<port id="2" precision="FP32">
-					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>256</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="756" name="__module.decoder.up_blocks.2.upsamplers.0.conv/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 256, 1, 1" offset="48494788" size="512" />
+		<layer id="429" name="__module.decoder.up_blocks.2.resnets.1.conv1/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 256, 1, 1" offset="46191320" size="1024" />
 			<output>
-				<port id="0" precision="FP16">
+				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>1</dim>
@@ -13544,13 +7369,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="757" name="__module.decoder.up_blocks.2.upsamplers.0.conv/aten::_convolution/Reshape" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
+		<layer id="430" name="__module.decoder.up_blocks.2.resnets.1.conv1/aten::_convolution/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP16">
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>1</dim>
@@ -13558,85 +7386,119 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="469,input.99">
+					<dim>-1</dim>
 					<dim>256</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="758" name="__module.decoder.up_blocks.2.upsamplers.0.conv/aten::_convolution/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="431" name="self.decoder.up_blocks.2.resnets.1.norm2.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="256" offset="46192344" size="1024" />
+			<output>
+				<port id="0" precision="FP32" names="self.decoder.up_blocks.2.resnets.1.norm2.weight">
+					<dim>256</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="432" name="self.decoder.up_blocks.2.resnets.1.norm2.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="256" offset="46193368" size="1024" />
+			<output>
+				<port id="0" precision="FP32" names="self.decoder.up_blocks.2.resnets.1.norm2.bias">
+					<dim>256</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="433" name="__module.decoder.up_blocks.2.resnets.1.norm2/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
+			<data num_groups="32" epsilon="9.9999999747524271e-07" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>256</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
 					<dim>256</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+				</port>
+				<port id="2" precision="FP32">
+					<dim>256</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="523,input.115">
-					<dim>1</dim>
+				<port id="3" precision="FP32" names="472,input.101">
+					<dim>-1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="434" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_19" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="473,input.103">
+					<dim>-1</dim>
 					<dim>256</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="759" name="self.decoder.up_blocks.3.resnets.0.conv_shortcut.weight_compressed" type="Const" version="opset1">
-			<data element_type="u8" shape="128, 256, 1, 1" offset="48495300" size="32768" />
+		<layer id="435" name="self.decoder.up_blocks.2.resnets.1.conv2.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="256, 256, 3, 3" offset="46194392" size="589824" />
 			<output>
 				<port id="0" precision="U8">
-					<dim>128</dim>
 					<dim>256</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="760" name="Convert_768893" type="Convert" version="opset1">
+		<layer id="436" name="Convert_125190" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
-					<dim>128</dim>
 					<dim>256</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP16">
-					<dim>128</dim>
 					<dim>256</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="761" name="self.decoder.up_blocks.3.resnets.0.conv_shortcut.weight_compressed/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="128, 1, 1, 1" offset="48528068" size="128" />
+		<layer id="437" name="self.decoder.up_blocks.2.resnets.1.conv2.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="256, 1, 1, 1" offset="46784216" size="256" />
 			<output>
 				<port id="0" precision="U8">
-					<dim>128</dim>
+					<dim>256</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="762" name="Convert_768896" type="Convert" version="opset1">
+		<layer id="438" name="Convert_125193" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
-					<dim>128</dim>
+					<dim>256</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -13644,24 +7506,24 @@
 			</input>
 			<output>
 				<port id="1" precision="FP16">
-					<dim>128</dim>
+					<dim>256</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="763" name="self.decoder.up_blocks.3.resnets.0.conv_shortcut.weight_compressed/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="439" name="self.decoder.up_blocks.2.resnets.1.conv2.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
-					<dim>128</dim>
 					<dim>256</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
 				</port>
 				<port id="1" precision="FP16">
-					<dim>128</dim>
+					<dim>256</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -13669,35 +7531,35 @@
 			</input>
 			<output>
 				<port id="2" precision="FP16">
-					<dim>128</dim>
 					<dim>256</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="764" name="self.decoder.up_blocks.3.resnets.0.conv_shortcut.weight_compressed/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="128, 1, 1, 1" offset="48528196" size="256" />
+		<layer id="440" name="self.decoder.up_blocks.2.resnets.1.conv2.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="256, 1, 1, 1" offset="46784472" size="512" />
 			<output>
 				<port id="0" precision="FP16">
-					<dim>128</dim>
+					<dim>256</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="765" name="self.decoder.up_blocks.3.resnets.0.conv_shortcut.weight_compressed/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="441" name="self.decoder.up_blocks.2.resnets.1.conv2.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
-					<dim>128</dim>
 					<dim>256</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
 				</port>
 				<port id="1" precision="FP16">
-					<dim>128</dim>
+					<dim>256</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -13705,365 +7567,193 @@
 			</input>
 			<output>
 				<port id="2" precision="FP16">
-					<dim>128</dim>
 					<dim>256</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="766" name="self.decoder.up_blocks.3.resnets.0.conv_shortcut.weight" type="Convert" version="opset1">
+		<layer id="442" name="self.decoder.up_blocks.2.resnets.1.conv2.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
-					<dim>128</dim>
 					<dim>256</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP32">
-					<dim>128</dim>
 					<dim>256</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="767" name="__module.decoder.up_blocks.3.resnets.0.conv_shortcut/aten::_convolution/Convolution" type="Convolution" version="opset1">
-			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
+		<layer id="443" name="__module.decoder.up_blocks.2.resnets.1.conv2/aten::_convolution/Convolution" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>256</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>128</dim>
 					<dim>256</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
 				</port>
 			</input>
 			<output>
 				<port id="2" precision="FP32">
-					<dim>1</dim>
-					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>256</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="768" name="__module.decoder.up_blocks.3.resnets.0.conv_shortcut/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 128, 1, 1" offset="48528452" size="256" />
-			<output>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>128</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="769" name="__module.decoder.up_blocks.3.resnets.0.conv_shortcut/aten::_convolution/Reshape" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
-			<input>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>128</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
-			</input>
+		<layer id="444" name="__module.decoder.up_blocks.2.resnets.1.conv2/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 256, 1, 1" offset="46784984" size="1024" />
 			<output>
-				<port id="1" precision="FP32">
+				<port id="0" precision="FP32">
 					<dim>1</dim>
-					<dim>128</dim>
+					<dim>256</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="770" name="__module.decoder.up_blocks.3.resnets.0.conv_shortcut/aten::_convolution/Add" type="Add" version="opset1">
+		<layer id="445" name="__module.decoder.up_blocks.2.resnets.1.conv2/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>256</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 				<port id="1" precision="FP32">
 					<dim>1</dim>
-					<dim>128</dim>
+					<dim>256</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="565,input_tensor">
-					<dim>1</dim>
-					<dim>128</dim>
-					<dim>-1</dim>
+				<port id="2" precision="FP32" names="481,hidden_states.37">
 					<dim>-1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="771" name="__module.decoder.up_blocks.3.resnets.0.norm1/aten::group_norm/Constant" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
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-			<output>
-				<port id="0" precision="I32">
-					<dim>3</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="772" name="__module.decoder.up_blocks.3.resnets.0.norm1/aten::group_norm/Reshape" type="Reshape" version="opset1">
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-				<port id="0" precision="FP32">
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 					<dim>256</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
-				<port id="1" precision="I32">
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-				</port>
-			</input>
-			<output>
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-					<dim>32</dim>
-					<dim>-1</dim>
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-			</output>
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-		<layer id="773" name="__module.decoder.up_blocks.3.resnets.0.norm1/aten::group_norm/Constant_1" type="Const" version="opset1">
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-				<port id="0" precision="I32">
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-				</port>
 			</output>
 		</layer>
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+		<layer id="446" name="__module.decoder.up_blocks.2.resnets.1/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
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 					<dim>-1</dim>
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-				<port id="1" precision="I32">
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-			</input>
-			<output>
-				<port id="2" precision="FP32">
-					<dim>1</dim>
-					<dim>32</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
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-		<layer id="775" name="__module.decoder.up_blocks.3.resnets.0.norm1/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
-			<data output_type="i32" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
+				<port id="1" precision="FP32">
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 					<dim>256</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I32">
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-			<data element_type="f16" shape="1, 256, 1, 1" offset="48528708" size="512" />
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 		</layer>
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 			<output>
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 		</layer>
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-			<data auto_broadcast="numpy" />
+		<layer id="449" name="__module.decoder.up_blocks.2.resnets.2.norm1/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
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 			<input>
 				<port id="0" precision="FP32">
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 					<dim>-1</dim>
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-		<layer id="780" name="Constant_639337_compressed" type="Const" version="opset1">
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-		<layer id="781" name="Constant_639337" type="Convert" version="opset1">
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-		<layer id="782" name="__module.decoder.up_blocks.3.resnets.0.norm1/aten::group_norm/Add" type="Add" version="opset1">
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-					<dim>256</dim>
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+				<port id="3" precision="FP32" names="491,input.107">
 					<dim>-1</dim>
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 					<dim>256</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
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+		<layer id="450" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_20" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
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+					<dim>-1</dim>
 					<dim>256</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="539">
-					<dim>1</dim>
+				<port id="1" precision="FP32" names="492">
+					<dim>-1</dim>
 					<dim>256</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="784" name="self.decoder.up_blocks.3.resnets.0.conv1.weight_compressed" type="Const" version="opset1">
-			<data element_type="u8" shape="128, 256, 3, 3" offset="48529732" size="294912" />
+		<layer id="451" name="self.decoder.up_blocks.2.resnets.2.conv1.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="256, 256, 3, 3" offset="46788056" size="589824" />
 			<output>
 				<port id="0" precision="U8">
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+					<dim>256</dim>
 					<dim>256</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="785" name="Convert_768873" type="Convert" version="opset1">
+		<layer id="452" name="Convert_125201" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
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+					<dim>256</dim>
 					<dim>256</dim>
 					<dim>3</dim>
 					<dim>3</dim>
@@ -14071,29 +7761,29 @@
 			</input>
 			<output>
 				<port id="1" precision="FP16">
-					<dim>128</dim>
+					<dim>256</dim>
 					<dim>256</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="786" name="self.decoder.up_blocks.3.resnets.0.conv1.weight_compressed/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="128, 1, 1, 1" offset="48824644" size="128" />
+		<layer id="453" name="self.decoder.up_blocks.2.resnets.2.conv1.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="256, 1, 1, 1" offset="47377880" size="256" />
 			<output>
 				<port id="0" precision="U8">
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+					<dim>256</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="787" name="Convert_768876" type="Convert" version="opset1">
+		<layer id="454" name="Convert_125204" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
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+					<dim>256</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -14101,24 +7791,24 @@
 			</input>
 			<output>
 				<port id="1" precision="FP16">
-					<dim>128</dim>
+					<dim>256</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="788" name="self.decoder.up_blocks.3.resnets.0.conv1.weight_compressed/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="455" name="self.decoder.up_blocks.2.resnets.2.conv1.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
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+					<dim>256</dim>
 					<dim>256</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
 				<port id="1" precision="FP16">
-					<dim>128</dim>
+					<dim>256</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -14126,35 +7816,35 @@
 			</input>
 			<output>
 				<port id="2" precision="FP16">
-					<dim>128</dim>
+					<dim>256</dim>
 					<dim>256</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="789" name="self.decoder.up_blocks.3.resnets.0.conv1.weight_compressed/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="128, 1, 1, 1" offset="48824772" size="256" />
+		<layer id="456" name="self.decoder.up_blocks.2.resnets.2.conv1.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="256, 1, 1, 1" offset="47378136" size="512" />
 			<output>
 				<port id="0" precision="FP16">
-					<dim>128</dim>
+					<dim>256</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="790" name="self.decoder.up_blocks.3.resnets.0.conv1.weight_compressed/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="457" name="self.decoder.up_blocks.2.resnets.2.conv1.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
-					<dim>128</dim>
+					<dim>256</dim>
 					<dim>256</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
 				<port id="1" precision="FP16">
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+					<dim>256</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -14162,21 +7852,18 @@
 			</input>
 			<output>
 				<port id="2" precision="FP16">
-					<dim>128</dim>
+					<dim>256</dim>
 					<dim>256</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="791" name="self.decoder.up_blocks.3.resnets.0.conv1.weight" type="Convert" version="opset1">
+		<layer id="458" name="self.decoder.up_blocks.2.resnets.2.conv1.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
-					<dim>128</dim>
+					<dim>256</dim>
 					<dim>256</dim>
 					<dim>3</dim>
 					<dim>3</dim>
@@ -14184,24 +7871,24 @@
 			</input>
 			<output>
 				<port id="1" precision="FP32">
-					<dim>128</dim>
+					<dim>256</dim>
 					<dim>256</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="792" name="__module.decoder.up_blocks.3.resnets.0.conv1/aten::_convolution/Convolution" type="Convolution" version="opset1">
+		<layer id="459" name="__module.decoder.up_blocks.2.resnets.2.conv1/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>256</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 				<port id="1" precision="FP32">
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+					<dim>256</dim>
 					<dim>256</dim>
 					<dim>3</dim>
 					<dim>3</dim>
@@ -14209,348 +7896,421 @@
 			</input>
 			<output>
 				<port id="2" precision="FP32">
-					<dim>1</dim>
-					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>256</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="793" name="__module.decoder.up_blocks.3.resnets.0.conv1/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 128, 1, 1" offset="48825028" size="256" />
+		<layer id="460" name="__module.decoder.up_blocks.2.resnets.2.conv1/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 256, 1, 1" offset="47378648" size="1024" />
 			<output>
-				<port id="0" precision="FP16">
+				<port id="0" precision="FP32">
 					<dim>1</dim>
-					<dim>128</dim>
+					<dim>256</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="794" name="__module.decoder.up_blocks.3.resnets.0.conv1/aten::_convolution/Reshape" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
+		<layer id="461" name="__module.decoder.up_blocks.2.resnets.2.conv1/aten::_convolution/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP16">
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>256</dim>
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+					<dim>-1</dim>
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+				<port id="1" precision="FP32">
 					<dim>1</dim>
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 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
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-					<dim>128</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="499,input.109">
+					<dim>-1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
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-			<data auto_broadcast="numpy" />
+		<layer id="462" name="self.decoder.up_blocks.2.resnets.2.norm2.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="256" offset="47379672" size="1024" />
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+				<port id="0" precision="FP32" names="self.decoder.up_blocks.2.resnets.2.norm2.weight">
+					<dim>256</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="463" name="self.decoder.up_blocks.2.resnets.2.norm2.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="256" offset="47380696" size="1024" />
+			<output>
+				<port id="0" precision="FP32" names="self.decoder.up_blocks.2.resnets.2.norm2.bias">
+					<dim>256</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="464" name="__module.decoder.up_blocks.2.resnets.2.norm2/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
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 			<input>
 				<port id="0" precision="FP32">
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-					<dim>128</dim>
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 					<dim>-1</dim>
 					<dim>-1</dim>
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 				<port id="1" precision="FP32">
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-					<dim>128</dim>
-					<dim>1</dim>
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+					<dim>256</dim>
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+				<port id="2" precision="FP32">
+					<dim>256</dim>
 				</port>
 			</input>
 			<output>
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-					<dim>128</dim>
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 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
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-					<dim>3</dim>
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-			<data special_zero="true" />
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 			<input>
 				<port id="0" precision="FP32">
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-					<dim>128</dim>
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 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
-				<port id="1" precision="I32">
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 			</input>
 			<output>
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-					<dim>32</dim>
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+					<dim>256</dim>
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 					<dim>-1</dim>
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 			</output>
 		</layer>
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+		<layer id="466" name="self.decoder.up_blocks.2.resnets.2.conv2.weight" type="Const" version="opset1">
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 			<output>
-				<port id="0" precision="I32">
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+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
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+					<dim>256</dim>
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+					<dim>3</dim>
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 			<input>
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 		</layer>
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-					<dim>-1</dim>
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+					<dim>256</dim>
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 				</port>
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 		</layer>
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-			<data element_type="f16" shape="1, 128, 1, 1" offset="48825284" size="256" />
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 			<output>
 				<port id="0" precision="FP16">
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 		</layer>
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-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
+		<layer id="472" name="self.decoder.up_blocks.2.resnets.2.conv2.weight/fq_weights_1" type="Multiply" version="opset1">
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 			<input>
 				<port id="0" precision="FP16">
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+					<dim>256</dim>
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+					<dim>3</dim>
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+				<port id="1" precision="FP16">
+					<dim>256</dim>
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 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
 			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="473" name="self.decoder.up_blocks.2.resnets.2.conv2.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
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 			<output>
 				<port id="1" precision="FP32">
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-					<dim>128</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
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-			<data auto_broadcast="numpy" />
+		<layer id="474" name="__module.decoder.up_blocks.2.resnets.2.conv2/aten::_convolution/Convolution" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
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 					<dim>-1</dim>
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 				<port id="1" precision="FP32">
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+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
 				</port>
 			</input>
 			<output>
 				<port id="2" precision="FP32">
-					<dim>1</dim>
-					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>256</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="805" name="Constant_639339_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 128, 1, 1" offset="48825540" size="256" />
+		<layer id="475" name="__module.decoder.up_blocks.2.resnets.2.conv2/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 256, 1, 1" offset="47972312" size="1024" />
 			<output>
-				<port id="0" precision="FP16">
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 					<dim>1</dim>
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+					<dim>256</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="806" name="Constant_639339" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
+		<layer id="476" name="__module.decoder.up_blocks.2.resnets.2.conv2/aten::_convolution/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
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-					<dim>128</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP32">
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+					<dim>256</dim>
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+					<dim>-1</dim>
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 				<port id="1" precision="FP32">
 					<dim>1</dim>
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+					<dim>256</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="511,hidden_states.39">
+					<dim>-1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="807" name="__module.decoder.up_blocks.3.resnets.0.norm2/aten::group_norm/Add" type="Add" version="opset1">
+		<layer id="477" name="__module.decoder.up_blocks.2.resnets.2/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
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-					<dim>128</dim>
+					<dim>-1</dim>
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 					<dim>-1</dim>
 					<dim>-1</dim>
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 				<port id="1" precision="FP32">
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-					<dim>128</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="549,input.121">
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-					<dim>128</dim>
+				<port id="2" precision="FP32" names="512,513,hidden_states.41">
+					<dim>-1</dim>
+					<dim>256</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="808" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_23" type="Swish" version="opset4">
+		<layer id="478" name="__module.decoder.up_blocks.2.upsamplers.0/aten::upsample_nearest2d/Multiply" type="Const" version="opset1">
+			<data element_type="f32" shape="2" offset="24758984" size="8" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="479" name="Constant_98460" type="Const" version="opset1">
+			<data element_type="i32" shape="2" offset="24758992" size="8" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="480" name="__module.decoder.up_blocks.2.upsamplers.0/aten::upsample_nearest2d/Interpolate" type="Interpolate" version="opset11">
+			<data mode="nearest" shape_calculation_mode="scales" coordinate_transformation_mode="asymmetric" nearest_mode="floor" antialias="false" pads_begin="0, 0, 0, 0" pads_end="0, 0, 0, 0" cube_coeff="-0.75" />
 			<input>
 				<port id="0" precision="FP32">
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-					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>256</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
+				<port id="1" precision="FP32">
+					<dim>2</dim>
+				</port>
+				<port id="2" precision="I32">
+					<dim>2</dim>
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 			</input>
 			<output>
-				<port id="1" precision="FP32" names="550,input.123">
-					<dim>1</dim>
-					<dim>128</dim>
+				<port id="3" precision="FP32" names="516">
+					<dim>-1</dim>
+					<dim>256</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="809" name="self.decoder.up_blocks.3.resnets.0.conv2.weight_compressed" type="Const" version="opset1">
-			<data element_type="u8" shape="128, 128, 3, 3" offset="48825796" size="147456" />
+		<layer id="481" name="self.decoder.up_blocks.2.upsamplers.0.conv.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="256, 256, 3, 3" offset="47973336" size="589824" />
 			<output>
 				<port id="0" precision="U8">
-					<dim>128</dim>
-					<dim>128</dim>
+					<dim>256</dim>
+					<dim>256</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="810" name="Convert_768883" type="Convert" version="opset1">
+		<layer id="482" name="Convert_125223" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
-					<dim>128</dim>
-					<dim>128</dim>
+					<dim>256</dim>
+					<dim>256</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP16">
-					<dim>128</dim>
-					<dim>128</dim>
+					<dim>256</dim>
+					<dim>256</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="811" name="self.decoder.up_blocks.3.resnets.0.conv2.weight_compressed/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="128, 1, 1, 1" offset="48973252" size="128" />
+		<layer id="483" name="self.decoder.up_blocks.2.upsamplers.0.conv.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="256, 1, 1, 1" offset="48563160" size="256" />
 			<output>
 				<port id="0" precision="U8">
-					<dim>128</dim>
+					<dim>256</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="812" name="Convert_768886" type="Convert" version="opset1">
+		<layer id="484" name="Convert_125226" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
-					<dim>128</dim>
+					<dim>256</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -14558,24 +8318,24 @@
 			</input>
 			<output>
 				<port id="1" precision="FP16">
-					<dim>128</dim>
+					<dim>256</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="813" name="self.decoder.up_blocks.3.resnets.0.conv2.weight_compressed/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="485" name="self.decoder.up_blocks.2.upsamplers.0.conv.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
-					<dim>128</dim>
-					<dim>128</dim>
+					<dim>256</dim>
+					<dim>256</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
 				<port id="1" precision="FP16">
-					<dim>128</dim>
+					<dim>256</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -14583,35 +8343,35 @@
 			</input>
 			<output>
 				<port id="2" precision="FP16">
-					<dim>128</dim>
-					<dim>128</dim>
+					<dim>256</dim>
+					<dim>256</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="814" name="self.decoder.up_blocks.3.resnets.0.conv2.weight_compressed/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="128, 1, 1, 1" offset="48973380" size="256" />
+		<layer id="486" name="self.decoder.up_blocks.2.upsamplers.0.conv.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="256, 1, 1, 1" offset="48563416" size="512" />
 			<output>
 				<port id="0" precision="FP16">
-					<dim>128</dim>
+					<dim>256</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="815" name="self.decoder.up_blocks.3.resnets.0.conv2.weight_compressed/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="487" name="self.decoder.up_blocks.2.upsamplers.0.conv.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
-					<dim>128</dim>
-					<dim>128</dim>
+					<dim>256</dim>
+					<dim>256</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
 				<port id="1" precision="FP16">
-					<dim>128</dim>
+					<dim>256</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -14619,302 +8379,262 @@
 			</input>
 			<output>
 				<port id="2" precision="FP16">
-					<dim>128</dim>
-					<dim>128</dim>
+					<dim>256</dim>
+					<dim>256</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="816" name="self.decoder.up_blocks.3.resnets.0.conv2.weight" type="Convert" version="opset1">
+		<layer id="488" name="self.decoder.up_blocks.2.upsamplers.0.conv.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
-					<dim>128</dim>
-					<dim>128</dim>
+					<dim>256</dim>
+					<dim>256</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP32">
-					<dim>128</dim>
-					<dim>128</dim>
+					<dim>256</dim>
+					<dim>256</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="817" name="__module.decoder.up_blocks.3.resnets.0.conv2/aten::_convolution/Convolution" type="Convolution" version="opset1">
+		<layer id="489" name="__module.decoder.up_blocks.2.upsamplers.0.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>256</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>128</dim>
-					<dim>128</dim>
+					<dim>256</dim>
+					<dim>256</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
 			</input>
 			<output>
 				<port id="2" precision="FP32">
-					<dim>1</dim>
-					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>256</dim>
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 		</layer>
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-					<dim>128</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
-			</input>
+		<layer id="490" name="__module.decoder.up_blocks.2.upsamplers.0.conv/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 256, 1, 1" offset="48563928" size="1024" />
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 				</port>
 			</output>
 		</layer>
-		<layer id="820" name="__module.decoder.up_blocks.3.resnets.0.conv2/aten::_convolution/Add" type="Add" version="opset1">
+		<layer id="491" name="__module.decoder.up_blocks.2.upsamplers.0.conv/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
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-					<dim>128</dim>
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 				<port id="1" precision="FP32">
 					<dim>1</dim>
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="558,hidden_states.43">
-					<dim>1</dim>
-					<dim>128</dim>
+				<port id="2" precision="FP32" names="523,input.115">
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 					<dim>-1</dim>
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 			</output>
 		</layer>
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-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
+		<layer id="492" name="self.decoder.up_blocks.3.resnets.0.conv_shortcut.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="128, 256, 1, 1" offset="48564952" size="32768" />
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+				<port id="0" precision="U8">
 					<dim>128</dim>
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-					<dim>-1</dim>
-				</port>
-				<port id="1" precision="FP32">
+					<dim>256</dim>
 					<dim>1</dim>
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-					<dim>-1</dim>
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 			</output>
 		</layer>
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-				<attribute name="precise" version="0" />
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-			</output>
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-		<layer id="823" name="__module.decoder.up_blocks.3.resnets.1.norm1/aten::group_norm/Reshape" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="493" name="Convert_125355" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
+				<port id="0" precision="U8">
 					<dim>128</dim>
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-					<dim>-1</dim>
-				</port>
-				<port id="1" precision="I32">
-					<dim>3</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="1" precision="FP16">
+					<dim>128</dim>
+					<dim>256</dim>
+					<dim>1</dim>
 					<dim>1</dim>
-					<dim>32</dim>
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 				</port>
 			</output>
 		</layer>
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-			<data element_type="i32" shape="1" offset="21040" size="4" />
+		<layer id="494" name="self.decoder.up_blocks.3.resnets.0.conv_shortcut.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="128, 1, 1, 1" offset="48597720" size="128" />
 			<output>
-				<port id="0" precision="I32">
+				<port id="0" precision="U8">
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="825" name="__module.decoder.up_blocks.3.resnets.1.norm1/aten::group_norm/MVN" type="MVN" version="opset6">
-			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+		<layer id="495" name="Convert_125358" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="U8">
+					<dim>128</dim>
+					<dim>1</dim>
 					<dim>1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
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-				<port id="1" precision="I32">
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="1" precision="FP16">
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 					<dim>1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="826" name="__module.decoder.up_blocks.3.resnets.1.norm1/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
-			<data output_type="i32" />
+		<layer id="496" name="self.decoder.up_blocks.3.resnets.0.conv_shortcut.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
+					<dim>128</dim>
+					<dim>256</dim>
+					<dim>1</dim>
 					<dim>1</dim>
+				</port>
+				<port id="1" precision="FP16">
 					<dim>128</dim>
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-					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I32">
-					<dim>4</dim>
+				<port id="2" precision="FP16">
+					<dim>128</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="827" name="__module.decoder.up_blocks.3.resnets.1.norm1/aten::group_norm/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
-			<input>
-				<port id="0" precision="FP32">
+		<layer id="497" name="self.decoder.up_blocks.3.resnets.0.conv_shortcut.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="128, 1, 1, 1" offset="48597848" size="256" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 					<dim>1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
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-				<port id="1" precision="I32">
-					<dim>4</dim>
 				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32">
+			</output>
+		</layer>
+		<layer id="498" name="self.decoder.up_blocks.3.resnets.0.conv_shortcut.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>128</dim>
+					<dim>256</dim>
 					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="FP16">
 					<dim>128</dim>
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-					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
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-		</layer>
-		<layer id="828" name="Constant_639340_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 128, 1, 1" offset="48973892" size="256" />
+			</input>
 			<output>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
+				<port id="2" precision="FP16">
 					<dim>128</dim>
+					<dim>256</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="829" name="Constant_639340" type="Convert" version="opset1">
+		<layer id="499" name="self.decoder.up_blocks.3.resnets.0.conv_shortcut.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
-					<dim>1</dim>
 					<dim>128</dim>
+					<dim>256</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
 					<dim>128</dim>
+					<dim>256</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="830" name="__module.decoder.up_blocks.3.resnets.1.norm1/aten::group_norm/Multiply" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="500" name="__module.decoder.up_blocks.3.resnets.0.conv_shortcut/aten::_convolution/Convolution" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>256</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
 					<dim>128</dim>
+					<dim>256</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
 				<port id="2" precision="FP32">
-					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>128</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="831" name="Constant_639341_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 128, 1, 1" offset="48974148" size="256" />
+		<layer id="501" name="__module.decoder.up_blocks.3.resnets.0.conv_shortcut/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 128, 1, 1" offset="48598104" size="512" />
 			<output>
-				<port id="0" precision="FP16">
+				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>128</dim>
 					<dim>1</dim>
@@ -14922,13 +8642,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="832" name="Constant_639341" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
+		<layer id="502" name="__module.decoder.up_blocks.3.resnets.0.conv_shortcut/aten::_convolution/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP16">
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
 					<dim>1</dim>
 					<dim>128</dim>
 					<dim>1</dim>
@@ -14936,74 +8659,90 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="565,input_tensor">
+					<dim>-1</dim>
 					<dim>128</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="833" name="__module.decoder.up_blocks.3.resnets.1.norm1/aten::group_norm/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="503" name="self.decoder.up_blocks.3.resnets.0.norm1.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="256" offset="48598616" size="1024" />
+			<output>
+				<port id="0" precision="FP32" names="self.decoder.up_blocks.3.resnets.0.norm1.weight">
+					<dim>256</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="504" name="self.decoder.up_blocks.3.resnets.0.norm1.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="256" offset="48599640" size="1024" />
+			<output>
+				<port id="0" precision="FP32" names="self.decoder.up_blocks.3.resnets.0.norm1.bias">
+					<dim>256</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="505" name="__module.decoder.up_blocks.3.resnets.0.norm1/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
+			<data num_groups="32" epsilon="9.9999999747524271e-07" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>256</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>128</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+					<dim>256</dim>
+				</port>
+				<port id="2" precision="FP32">
+					<dim>256</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="575,input.127">
-					<dim>1</dim>
-					<dim>128</dim>
+				<port id="3" precision="FP32" names="538,input.117">
+					<dim>-1</dim>
+					<dim>256</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="834" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_24" type="Swish" version="opset4">
+		<layer id="506" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_22" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>256</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="576">
-					<dim>1</dim>
-					<dim>128</dim>
+				<port id="1" precision="FP32" names="539">
+					<dim>-1</dim>
+					<dim>256</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="835" name="self.decoder.up_blocks.3.resnets.1.conv1.weight_compressed" type="Const" version="opset1">
-			<data element_type="u8" shape="128, 128, 3, 3" offset="48974404" size="147456" />
+		<layer id="507" name="self.decoder.up_blocks.3.resnets.0.conv1.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="128, 256, 3, 3" offset="48600664" size="294912" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>128</dim>
-					<dim>128</dim>
+					<dim>256</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="836" name="Convert_768903" type="Convert" version="opset1">
+		<layer id="508" name="Convert_125234" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
 					<dim>128</dim>
-					<dim>128</dim>
+					<dim>256</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
@@ -15011,14 +8750,14 @@
 			<output>
 				<port id="1" precision="FP16">
 					<dim>128</dim>
-					<dim>128</dim>
+					<dim>256</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="837" name="self.decoder.up_blocks.3.resnets.1.conv1.weight_compressed/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="128, 1, 1, 1" offset="49121860" size="128" />
+		<layer id="509" name="self.decoder.up_blocks.3.resnets.0.conv1.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="128, 1, 1, 1" offset="48895576" size="128" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>128</dim>
@@ -15028,7 +8767,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="838" name="Convert_768906" type="Convert" version="opset1">
+		<layer id="510" name="Convert_125237" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -15047,12 +8786,12 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="839" name="self.decoder.up_blocks.3.resnets.1.conv1.weight_compressed/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="511" name="self.decoder.up_blocks.3.resnets.0.conv1.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
 					<dim>128</dim>
-					<dim>128</dim>
+					<dim>256</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
@@ -15066,14 +8805,14 @@
 			<output>
 				<port id="2" precision="FP16">
 					<dim>128</dim>
-					<dim>128</dim>
+					<dim>256</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="840" name="self.decoder.up_blocks.3.resnets.1.conv1.weight_compressed/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="128, 1, 1, 1" offset="49121988" size="256" />
+		<layer id="512" name="self.decoder.up_blocks.3.resnets.0.conv1.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="128, 1, 1, 1" offset="48895704" size="256" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>128</dim>
@@ -15083,12 +8822,12 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="841" name="self.decoder.up_blocks.3.resnets.1.conv1.weight_compressed/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="513" name="self.decoder.up_blocks.3.resnets.0.conv1.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
 					<dim>128</dim>
-					<dim>128</dim>
+					<dim>256</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
@@ -15102,21 +8841,18 @@
 			<output>
 				<port id="2" precision="FP16">
 					<dim>128</dim>
-					<dim>128</dim>
+					<dim>256</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="842" name="self.decoder.up_blocks.3.resnets.1.conv1.weight" type="Convert" version="opset1">
+		<layer id="514" name="self.decoder.up_blocks.3.resnets.0.conv1.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
 					<dim>128</dim>
-					<dim>128</dim>
+					<dim>256</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
@@ -15124,218 +8860,41 @@
 			<output>
 				<port id="1" precision="FP32">
 					<dim>128</dim>
-					<dim>128</dim>
+					<dim>256</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="843" name="__module.decoder.up_blocks.3.resnets.1.conv1/aten::_convolution/Convolution" type="Convolution" version="opset1">
+		<layer id="515" name="__module.decoder.up_blocks.3.resnets.0.conv1/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>128</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>128</dim>
-					<dim>128</dim>
-					<dim>3</dim>
-					<dim>3</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32">
-					<dim>1</dim>
-					<dim>128</dim>
 					<dim>-1</dim>
-					<dim>-1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="844" name="__module.decoder.up_blocks.3.resnets.1.conv1/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 128, 1, 1" offset="49122244" size="256" />
-			<output>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>128</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="845" name="__module.decoder.up_blocks.3.resnets.1.conv1/aten::_convolution/Reshape" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
-			<input>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>128</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>128</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="846" name="__module.decoder.up_blocks.3.resnets.1.conv1/aten::_convolution/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>128</dim>
+					<dim>256</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>128</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="583,input.129">
-					<dim>1</dim>
 					<dim>128</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="847" name="__module.decoder.up_blocks.3.resnets.1.norm2/aten::group_norm/Constant" type="Const" version="opset1">
-			<data element_type="i32" shape="3" offset="21028" size="12" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I32">
+					<dim>256</dim>
 					<dim>3</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="848" name="__module.decoder.up_blocks.3.resnets.1.norm2/aten::group_norm/Reshape" type="Reshape" version="opset1">
-			<data special_zero="true" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>128</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
-				</port>
-				<port id="1" precision="I32">
 					<dim>3</dim>
 				</port>
 			</input>
 			<output>
 				<port id="2" precision="FP32">
-					<dim>1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="849" name="__module.decoder.up_blocks.3.resnets.1.norm2/aten::group_norm/Constant_1" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="21040" size="4" />
-			<output>
-				<port id="0" precision="I32">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="850" name="__module.decoder.up_blocks.3.resnets.1.norm2/aten::group_norm/MVN" type="MVN" version="opset6">
-			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
-			<input>
-				<port id="0" precision="FP32">
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-					<dim>-1</dim>
-				</port>
-				<port id="1" precision="I32">
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-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32">
-					<dim>1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="851" name="__module.decoder.up_blocks.3.resnets.1.norm2/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
-			<data output_type="i32" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>128</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="I32">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="852" name="__module.decoder.up_blocks.3.resnets.1.norm2/aten::group_norm/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
-				</port>
-				<port id="1" precision="I32">
-					<dim>4</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32">
-					<dim>1</dim>
 					<dim>128</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="853" name="Constant_639342_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 128, 1, 1" offset="49122500" size="256" />
-			<output>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>128</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="854" name="Constant_639342" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
-			<input>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>128</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
-			</input>
+			</output>
+		</layer>
+		<layer id="516" name="__module.decoder.up_blocks.3.resnets.0.conv1/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 128, 1, 1" offset="48895960" size="512" />
 			<output>
-				<port id="1" precision="FP32">
+				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>128</dim>
 					<dim>1</dim>
@@ -15343,11 +8902,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="855" name="__module.decoder.up_blocks.3.resnets.1.norm2/aten::group_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="517" name="__module.decoder.up_blocks.3.resnets.0.conv1/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>128</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
@@ -15360,92 +8919,75 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="546,input.119">
+					<dim>-1</dim>
 					<dim>128</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="856" name="Constant_639343_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 128, 1, 1" offset="49122756" size="256" />
+		<layer id="518" name="self.decoder.up_blocks.3.resnets.0.norm2.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="128" offset="48896472" size="512" />
 			<output>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
+				<port id="0" precision="FP32" names="self.decoder.up_blocks.3.resnets.0.norm2.weight">
 					<dim>128</dim>
-					<dim>1</dim>
-					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="857" name="Constant_639343" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
-			<input>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>128</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
-			</input>
+		<layer id="519" name="self.decoder.up_blocks.3.resnets.0.norm2.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="128" offset="48896984" size="512" />
 			<output>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
+				<port id="0" precision="FP32" names="self.decoder.up_blocks.3.resnets.0.norm2.bias">
 					<dim>128</dim>
-					<dim>1</dim>
-					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="858" name="__module.decoder.up_blocks.3.resnets.1.norm2/aten::group_norm/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="520" name="__module.decoder.up_blocks.3.resnets.0.norm2/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
+			<data num_groups="32" epsilon="9.9999999747524271e-07" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>128</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
 					<dim>128</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+				</port>
+				<port id="2" precision="FP32">
+					<dim>128</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="586,input.131">
-					<dim>1</dim>
+				<port id="3" precision="FP32" names="549,input.121">
+					<dim>-1</dim>
 					<dim>128</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="859" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_25" type="Swish" version="opset4">
+		<layer id="521" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_23" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
-					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>128</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="587,input.133">
-					<dim>1</dim>
+				<port id="1" precision="FP32" names="550,input.123">
+					<dim>-1</dim>
 					<dim>128</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="860" name="self.decoder.up_blocks.3.resnets.1.conv2.weight_compressed" type="Const" version="opset1">
-			<data element_type="u8" shape="128, 128, 3, 3" offset="49123012" size="147456" />
+		<layer id="522" name="self.decoder.up_blocks.3.resnets.0.conv2.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="128, 128, 3, 3" offset="48897496" size="147456" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>128</dim>
@@ -15455,7 +8997,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="861" name="Convert_768913" type="Convert" version="opset1">
+		<layer id="523" name="Convert_125289" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -15474,8 +9016,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="862" name="self.decoder.up_blocks.3.resnets.1.conv2.weight_compressed/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="128, 1, 1, 1" offset="49270468" size="128" />
+		<layer id="524" name="self.decoder.up_blocks.3.resnets.0.conv2.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="128, 1, 1, 1" offset="49044952" size="128" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>128</dim>
@@ -15485,7 +9027,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="863" name="Convert_768916" type="Convert" version="opset1">
+		<layer id="525" name="Convert_125292" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -15504,7 +9046,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="864" name="self.decoder.up_blocks.3.resnets.1.conv2.weight_compressed/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="526" name="self.decoder.up_blocks.3.resnets.0.conv2.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -15529,8 +9071,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="865" name="self.decoder.up_blocks.3.resnets.1.conv2.weight_compressed/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="128, 1, 1, 1" offset="49270596" size="256" />
+		<layer id="527" name="self.decoder.up_blocks.3.resnets.0.conv2.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="128, 1, 1, 1" offset="49045080" size="256" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>128</dim>
@@ -15540,7 +9082,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="866" name="self.decoder.up_blocks.3.resnets.1.conv2.weight_compressed/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="528" name="self.decoder.up_blocks.3.resnets.0.conv2.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -15565,11 +9107,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="867" name="self.decoder.up_blocks.3.resnets.1.conv2.weight" type="Convert" version="opset1">
+		<layer id="529" name="self.decoder.up_blocks.3.resnets.0.conv2.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
 					<dim>128</dim>
@@ -15587,11 +9126,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="868" name="__module.decoder.up_blocks.3.resnets.1.conv2/aten::_convolution/Convolution" type="Convolution" version="opset1">
+		<layer id="530" name="__module.decoder.up_blocks.3.resnets.0.conv2/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>128</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
@@ -15605,17 +9144,17 @@
 			</input>
 			<output>
 				<port id="2" precision="FP32">
-					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>128</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="869" name="__module.decoder.up_blocks.3.resnets.1.conv2/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 128, 1, 1" offset="49270852" size="256" />
+		<layer id="531" name="__module.decoder.up_blocks.3.resnets.0.conv2/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 128, 1, 1" offset="49045336" size="512" />
 			<output>
-				<port id="0" precision="FP16">
+				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>128</dim>
 					<dim>1</dim>
@@ -15623,13 +9162,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="870" name="__module.decoder.up_blocks.3.resnets.1.conv2/aten::_convolution/Reshape" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
+		<layer id="532" name="__module.decoder.up_blocks.3.resnets.0.conv2/aten::_convolution/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP16">
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
 					<dim>1</dim>
 					<dim>128</dim>
 					<dim>1</dim>
@@ -15637,187 +9179,267 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="558,hidden_states.43">
+					<dim>-1</dim>
 					<dim>128</dim>
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-					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="871" name="__module.decoder.up_blocks.3.resnets.1.conv2/aten::_convolution/Add" type="Add" version="opset1">
+		<layer id="533" name="__module.decoder.up_blocks.3.resnets.0/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>128</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>128</dim>
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-					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="595,hidden_states.45">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="566,567,input.125">
+					<dim>-1</dim>
 					<dim>128</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="872" name="__module.decoder.up_blocks.3.resnets.1/aten::add/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="534" name="self.decoder.up_blocks.3.resnets.1.norm1.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="128" offset="49045848" size="512" />
+			<output>
+				<port id="0" precision="FP32" names="self.decoder.up_blocks.3.resnets.1.norm1.weight">
+					<dim>128</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="535" name="self.decoder.up_blocks.3.resnets.1.norm1.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="128" offset="49046360" size="512" />
+			<output>
+				<port id="0" precision="FP32" names="self.decoder.up_blocks.3.resnets.1.norm1.bias">
+					<dim>128</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="536" name="__module.decoder.up_blocks.3.resnets.1.norm1/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
+			<data num_groups="32" epsilon="9.9999999747524271e-07" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>128</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
+					<dim>128</dim>
+				</port>
+				<port id="2" precision="FP32">
+					<dim>128</dim>
+				</port>
+			</input>
+			<output>
+				<port id="3" precision="FP32" names="575,input.127">
+					<dim>-1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="537" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_24" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
 					<dim>128</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="596,597,input.135">
-					<dim>1</dim>
+				<port id="1" precision="FP32" names="576">
+					<dim>-1</dim>
 					<dim>128</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="873" name="__module.decoder.up_blocks.3.resnets.2.norm1/aten::group_norm/Constant" type="Const" version="opset1">
-			<data element_type="i32" shape="3" offset="21028" size="12" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="538" name="self.decoder.up_blocks.3.resnets.1.conv1.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="128, 128, 3, 3" offset="49046872" size="147456" />
 			<output>
-				<port id="0" precision="I32">
+				<port id="0" precision="U8">
+					<dim>128</dim>
+					<dim>128</dim>
+					<dim>3</dim>
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="874" name="__module.decoder.up_blocks.3.resnets.2.norm1/aten::group_norm/Reshape" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="539" name="Convert_125300" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
+				<port id="0" precision="U8">
 					<dim>128</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
-				</port>
-				<port id="1" precision="I32">
+					<dim>128</dim>
+					<dim>3</dim>
 					<dim>3</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
-					<dim>1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
+				<port id="1" precision="FP16">
+					<dim>128</dim>
+					<dim>128</dim>
+					<dim>3</dim>
+					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="875" name="__module.decoder.up_blocks.3.resnets.2.norm1/aten::group_norm/Constant_1" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="21040" size="4" />
+		<layer id="540" name="self.decoder.up_blocks.3.resnets.1.conv1.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="128, 1, 1, 1" offset="49194328" size="128" />
 			<output>
-				<port id="0" precision="I32">
+				<port id="0" precision="U8">
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="876" name="__module.decoder.up_blocks.3.resnets.2.norm1/aten::group_norm/MVN" type="MVN" version="opset6">
-			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+		<layer id="541" name="Convert_125303" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="U8">
+					<dim>128</dim>
+					<dim>1</dim>
 					<dim>1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-				</port>
-				<port id="1" precision="I32">
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="1" precision="FP16">
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 					<dim>1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="877" name="__module.decoder.up_blocks.3.resnets.2.norm1/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
-			<data output_type="i32" />
+		<layer id="542" name="self.decoder.up_blocks.3.resnets.1.conv1.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
+				<port id="0" precision="FP16">
 					<dim>128</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="I32">
-					<dim>4</dim>
+					<dim>128</dim>
+					<dim>3</dim>
+					<dim>3</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="878" name="__module.decoder.up_blocks.3.resnets.2.norm1/aten::group_norm/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
-			<input>
-				<port id="0" precision="FP32">
+				<port id="1" precision="FP16">
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 					<dim>1</dim>
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-					<dim>-1</dim>
-				</port>
-				<port id="1" precision="I32">
-					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
-					<dim>1</dim>
+				<port id="2" precision="FP16">
 					<dim>128</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>128</dim>
+					<dim>3</dim>
+					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="879" name="Constant_639344_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 128, 1, 1" offset="49271108" size="256" />
+		<layer id="543" name="self.decoder.up_blocks.3.resnets.1.conv1.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="128, 1, 1, 1" offset="49194456" size="256" />
 			<output>
 				<port id="0" precision="FP16">
-					<dim>1</dim>
 					<dim>128</dim>
 					<dim>1</dim>
 					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="880" name="Constant_639344" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
+		<layer id="544" name="self.decoder.up_blocks.3.resnets.1.conv1.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
-					<dim>1</dim>
 					<dim>128</dim>
+					<dim>128</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>128</dim>
+					<dim>1</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="2" precision="FP16">
+					<dim>128</dim>
+					<dim>128</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="545" name="self.decoder.up_blocks.3.resnets.1.conv1.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>128</dim>
+					<dim>128</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>128</dim>
+					<dim>128</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="546" name="__module.decoder.up_blocks.3.resnets.1.conv1/aten::_convolution/Convolution" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>128</dim>
+					<dim>128</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="547" name="__module.decoder.up_blocks.3.resnets.1.conv1/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 128, 1, 1" offset="49194712" size="512" />
+			<output>
+				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>128</dim>
 					<dim>1</dim>
@@ -15825,11 +9447,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="881" name="__module.decoder.up_blocks.3.resnets.2.norm1/aten::group_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="548" name="__module.decoder.up_blocks.3.resnets.1.conv1/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>128</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
@@ -15842,92 +9464,75 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="583,input.129">
+					<dim>-1</dim>
 					<dim>128</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="882" name="Constant_639345_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 128, 1, 1" offset="49271364" size="256" />
+		<layer id="549" name="self.decoder.up_blocks.3.resnets.1.norm2.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="128" offset="49195224" size="512" />
 			<output>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
+				<port id="0" precision="FP32" names="self.decoder.up_blocks.3.resnets.1.norm2.weight">
 					<dim>128</dim>
-					<dim>1</dim>
-					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="883" name="Constant_639345" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
-			<input>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>128</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
-			</input>
+		<layer id="550" name="self.decoder.up_blocks.3.resnets.1.norm2.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="128" offset="49195736" size="512" />
 			<output>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
+				<port id="0" precision="FP32" names="self.decoder.up_blocks.3.resnets.1.norm2.bias">
 					<dim>128</dim>
-					<dim>1</dim>
-					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="884" name="__module.decoder.up_blocks.3.resnets.2.norm1/aten::group_norm/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="551" name="__module.decoder.up_blocks.3.resnets.1.norm2/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
+			<data num_groups="32" epsilon="9.9999999747524271e-07" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>128</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
 					<dim>128</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+				</port>
+				<port id="2" precision="FP32">
+					<dim>128</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="605,input.137">
-					<dim>1</dim>
+				<port id="3" precision="FP32" names="586,input.131">
+					<dim>-1</dim>
 					<dim>128</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="885" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_26" type="Swish" version="opset4">
+		<layer id="552" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_25" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
-					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>128</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="606">
-					<dim>1</dim>
+				<port id="1" precision="FP32" names="587,input.133">
+					<dim>-1</dim>
 					<dim>128</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="886" name="self.decoder.up_blocks.3.resnets.2.conv1.weight_compressed" type="Const" version="opset1">
-			<data element_type="u8" shape="128, 128, 3, 3" offset="49271620" size="147456" />
+		<layer id="553" name="self.decoder.up_blocks.3.resnets.1.conv2.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="128, 128, 3, 3" offset="49196248" size="147456" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>128</dim>
@@ -15937,7 +9542,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="887" name="Convert_768923" type="Convert" version="opset1">
+		<layer id="554" name="Convert_125311" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -15956,8 +9561,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="888" name="self.decoder.up_blocks.3.resnets.2.conv1.weight_compressed/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="128, 1, 1, 1" offset="49419076" size="128" />
+		<layer id="555" name="self.decoder.up_blocks.3.resnets.1.conv2.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="128, 1, 1, 1" offset="49343704" size="128" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>128</dim>
@@ -15967,7 +9572,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="889" name="Convert_768926" type="Convert" version="opset1">
+		<layer id="556" name="Convert_125314" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -15986,7 +9591,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="890" name="self.decoder.up_blocks.3.resnets.2.conv1.weight_compressed/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="557" name="self.decoder.up_blocks.3.resnets.1.conv2.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
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@@ -16011,8 +9616,8 @@
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 		</layer>
-		<layer id="891" name="self.decoder.up_blocks.3.resnets.2.conv1.weight_compressed/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="128, 1, 1, 1" offset="49419204" size="256" />
+		<layer id="558" name="self.decoder.up_blocks.3.resnets.1.conv2.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="128, 1, 1, 1" offset="49343832" size="256" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>128</dim>
@@ -16022,7 +9627,7 @@
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 		</layer>
-		<layer id="892" name="self.decoder.up_blocks.3.resnets.2.conv1.weight_compressed/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="559" name="self.decoder.up_blocks.3.resnets.1.conv2.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
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@@ -16047,11 +9652,8 @@
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 			</output>
 		</layer>
-		<layer id="893" name="self.decoder.up_blocks.3.resnets.2.conv1.weight" type="Convert" version="opset1">
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 			<data destination_type="f32" />
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@@ -16069,11 +9671,11 @@
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 		</layer>
-		<layer id="894" name="__module.decoder.up_blocks.3.resnets.2.conv1/aten::_convolution/Convolution" type="Convolution" version="opset1">
+		<layer id="561" name="__module.decoder.up_blocks.3.resnets.1.conv2/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
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+					<dim>-1</dim>
 					<dim>128</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
@@ -16087,17 +9689,17 @@
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 			<output>
 				<port id="2" precision="FP32">
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 					<dim>-1</dim>
 					<dim>-1</dim>
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 		</layer>
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-			<data element_type="f16" shape="1, 128, 1, 1" offset="49419460" size="256" />
+		<layer id="562" name="__module.decoder.up_blocks.3.resnets.1.conv2/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 128, 1, 1" offset="49344088" size="512" />
 			<output>
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 					<dim>1</dim>
 					<dim>128</dim>
 					<dim>1</dim>
@@ -16105,13 +9707,16 @@
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 			</output>
 		</layer>
-		<layer id="896" name="__module.decoder.up_blocks.3.resnets.2.conv1/aten::_convolution/Reshape" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
+		<layer id="563" name="__module.decoder.up_blocks.3.resnets.1.conv2/aten::_convolution/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP16">
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
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+				<port id="1" precision="FP32">
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 					<dim>128</dim>
 					<dim>1</dim>
@@ -16119,162 +9724,267 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="595,hidden_states.45">
+					<dim>-1</dim>
 					<dim>128</dim>
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-					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
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 		</layer>
-		<layer id="897" name="__module.decoder.up_blocks.3.resnets.2.conv1/aten::_convolution/Add" type="Add" version="opset1">
+		<layer id="564" name="__module.decoder.up_blocks.3.resnets.1/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
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 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 				<port id="1" precision="FP32">
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+					<dim>-1</dim>
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="613,input.139">
-					<dim>1</dim>
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 					<dim>128</dim>
 					<dim>-1</dim>
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 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="565" name="self.decoder.up_blocks.3.resnets.2.norm1.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="128" offset="49344600" size="512" />
 			<output>
-				<port id="0" precision="I32">
-					<dim>3</dim>
+				<port id="0" precision="FP32" names="self.decoder.up_blocks.3.resnets.2.norm1.weight">
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 				</port>
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 		</layer>
-		<layer id="899" name="__module.decoder.up_blocks.3.resnets.2.norm2/aten::group_norm/Reshape" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="566" name="self.decoder.up_blocks.3.resnets.2.norm1.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="128" offset="49345112" size="512" />
+			<output>
+				<port id="0" precision="FP32" names="self.decoder.up_blocks.3.resnets.2.norm1.bias">
+					<dim>128</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="567" name="__module.decoder.up_blocks.3.resnets.2.norm1/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
+			<data num_groups="32" epsilon="9.9999999747524271e-07" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>1</dim>
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 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
-				<port id="1" precision="I32">
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+				<port id="1" precision="FP32">
+					<dim>128</dim>
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+				<port id="2" precision="FP32">
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 			</input>
 			<output>
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-					<dim>1</dim>
-					<dim>32</dim>
+				<port id="3" precision="FP32" names="605,input.137">
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+					<dim>128</dim>
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 					<dim>-1</dim>
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-			<data element_type="i32" shape="1" offset="21040" size="4" />
+		<layer id="568" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_26" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>128</dim>
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 			<output>
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+				<port id="1" precision="FP32" names="606">
+					<dim>-1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
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 		</layer>
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-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
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+			<data element_type="u8" shape="128, 128, 3, 3" offset="49345624" size="147456" />
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+					<dim>128</dim>
+					<dim>3</dim>
+					<dim>3</dim>
 				</port>
-				<port id="1" precision="I32">
-					<dim>1</dim>
+			</output>
+		</layer>
+		<layer id="570" name="Convert_125322" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>128</dim>
+					<dim>128</dim>
+					<dim>3</dim>
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 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="1" precision="FP16">
+					<dim>128</dim>
+					<dim>128</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="571" name="self.decoder.up_blocks.3.resnets.2.conv1.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="128, 1, 1, 1" offset="49493080" size="128" />
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+				<port id="0" precision="U8">
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-			<data output_type="i32" />
+		<layer id="572" name="Convert_125325" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
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 			<output>
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+					<dim>1</dim>
+					<dim>1</dim>
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-			<data special_zero="true" />
+		<layer id="573" name="self.decoder.up_blocks.3.resnets.2.conv1.weight/zero_point/subtract" type="Subtract" version="opset1">
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 			<input>
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 			<output>
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+				<port id="2" precision="FP16">
 					<dim>128</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>128</dim>
+					<dim>3</dim>
+					<dim>3</dim>
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-			<data element_type="f16" shape="1, 128, 1, 1" offset="49419716" size="256" />
+		<layer id="574" name="self.decoder.up_blocks.3.resnets.2.conv1.weight/scale" type="Const" version="opset1">
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 					<dim>128</dim>
 					<dim>1</dim>
 					<dim>1</dim>
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-			<rt_info>
-				<attribute name="decompression" version="0" />
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+		<layer id="575" name="self.decoder.up_blocks.3.resnets.2.conv1.weight/fq_weights_1" type="Multiply" version="opset1">
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 			<input>
 				<port id="0" precision="FP16">
-					<dim>1</dim>
 					<dim>128</dim>
+					<dim>128</dim>
+					<dim>3</dim>
+					<dim>3</dim>
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+				<port id="1" precision="FP16">
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 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
 			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>128</dim>
+					<dim>128</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="576" name="self.decoder.up_blocks.3.resnets.2.conv1.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>128</dim>
+					<dim>128</dim>
+					<dim>3</dim>
+					<dim>3</dim>
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+			</input>
 			<output>
 				<port id="1" precision="FP32">
+					<dim>128</dim>
+					<dim>128</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="577" name="__module.decoder.up_blocks.3.resnets.2.conv1/aten::_convolution/Convolution" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
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+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
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+					<dim>128</dim>
+					<dim>128</dim>
+					<dim>3</dim>
+					<dim>3</dim>
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+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
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+			</output>
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+		<layer id="578" name="__module.decoder.up_blocks.3.resnets.2.conv1/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 128, 1, 1" offset="49493464" size="512" />
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+				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>128</dim>
 					<dim>1</dim>
@@ -16282,11 +9992,11 @@
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 			</output>
 		</layer>
-		<layer id="906" name="__module.decoder.up_blocks.3.resnets.2.norm2/aten::group_norm/Multiply" type="Multiply" version="opset1">
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 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
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 					<dim>128</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
@@ -16299,76 +10009,59 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32">
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+				<port id="2" precision="FP32" names="613,input.139">
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 					<dim>128</dim>
 					<dim>-1</dim>
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-			<data element_type="f16" shape="1, 128, 1, 1" offset="49419972" size="256" />
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 			<output>
-				<port id="0" precision="FP16">
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 					<dim>128</dim>
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 		</layer>
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 			<output>
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+		<layer id="582" name="__module.decoder.up_blocks.3.resnets.2.norm2/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
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 				<port id="0" precision="FP32">
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 					<dim>-1</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
 					<dim>128</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+				</port>
+				<port id="2" precision="FP32">
+					<dim>128</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="616,input.141">
-					<dim>1</dim>
+				<port id="3" precision="FP32" names="616,input.141">
+					<dim>-1</dim>
 					<dim>128</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="910" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_27" type="Swish" version="opset4">
+		<layer id="583" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_27" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
-					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>128</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
@@ -16376,15 +10069,15 @@
 			</input>
 			<output>
 				<port id="1" precision="FP32" names="617,input.143">
-					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>128</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="911" name="self.decoder.up_blocks.3.resnets.2.conv2.weight_compressed" type="Const" version="opset1">
-			<data element_type="u8" shape="128, 128, 3, 3" offset="49420228" size="147456" />
+		<layer id="584" name="self.decoder.up_blocks.3.resnets.2.conv2.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="128, 128, 3, 3" offset="49495000" size="147456" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>128</dim>
@@ -16394,7 +10087,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="912" name="Convert_768933" type="Convert" version="opset1">
+		<layer id="585" name="Convert_125333" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -16413,8 +10106,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="913" name="self.decoder.up_blocks.3.resnets.2.conv2.weight_compressed/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="128, 1, 1, 1" offset="49567684" size="128" />
+		<layer id="586" name="self.decoder.up_blocks.3.resnets.2.conv2.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="128, 1, 1, 1" offset="49642456" size="128" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>128</dim>
@@ -16424,7 +10117,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="914" name="Convert_768936" type="Convert" version="opset1">
+		<layer id="587" name="Convert_125336" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -16443,7 +10136,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="915" name="self.decoder.up_blocks.3.resnets.2.conv2.weight_compressed/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="588" name="self.decoder.up_blocks.3.resnets.2.conv2.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -16468,8 +10161,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="916" name="self.decoder.up_blocks.3.resnets.2.conv2.weight_compressed/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="128, 1, 1, 1" offset="49567812" size="256" />
+		<layer id="589" name="self.decoder.up_blocks.3.resnets.2.conv2.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="128, 1, 1, 1" offset="49642584" size="256" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>128</dim>
@@ -16479,7 +10172,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="917" name="self.decoder.up_blocks.3.resnets.2.conv2.weight_compressed/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="590" name="self.decoder.up_blocks.3.resnets.2.conv2.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -16504,11 +10197,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="918" name="self.decoder.up_blocks.3.resnets.2.conv2.weight" type="Convert" version="opset1">
+		<layer id="591" name="self.decoder.up_blocks.3.resnets.2.conv2.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
 					<dim>128</dim>
@@ -16526,11 +10216,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="919" name="__module.decoder.up_blocks.3.resnets.2.conv2/aten::_convolution/Convolution" type="Convolution" version="opset1">
+		<layer id="592" name="__module.decoder.up_blocks.3.resnets.2.conv2/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>128</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
@@ -16544,39 +10234,17 @@
 			</input>
 			<output>
 				<port id="2" precision="FP32">
-					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>128</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="920" name="__module.decoder.up_blocks.3.resnets.2.conv2/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 128, 1, 1" offset="49568068" size="256" />
-			<output>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>128</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="921" name="__module.decoder.up_blocks.3.resnets.2.conv2/aten::_convolution/Reshape" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
-			<input>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>128</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
-			</input>
+		<layer id="593" name="__module.decoder.up_blocks.3.resnets.2.conv2/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 128, 1, 1" offset="49642840" size="512" />
 			<output>
-				<port id="1" precision="FP32">
+				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>128</dim>
 					<dim>1</dim>
@@ -16584,11 +10252,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="922" name="__module.decoder.up_blocks.3.resnets.2.conv2/aten::_convolution/Add" type="Add" version="opset1">
+		<layer id="594" name="__module.decoder.up_blocks.3.resnets.2.conv2/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>128</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
@@ -16602,255 +10270,83 @@
 			</input>
 			<output>
 				<port id="2" precision="FP32" names="625,hidden_states">
-					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>128</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="923" name="__module.decoder.up_blocks.3.resnets.2/aten::add/Add" type="Add" version="opset1">
+		<layer id="595" name="__module.decoder.up_blocks.3.resnets.2/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>128</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>128</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="626,627,input.145">
-					<dim>1</dim>
-					<dim>128</dim>
-					<dim>-1</dim>
 					<dim>-1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="924" name="__module.decoder.conv_norm_out/aten::group_norm/Constant" type="Const" version="opset1">
-			<data element_type="i32" shape="3" offset="21028" size="12" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I32">
-					<dim>3</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="925" name="__module.decoder.conv_norm_out/aten::group_norm/Reshape" type="Reshape" version="opset1">
-			<data special_zero="true" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
 					<dim>128</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
-				<port id="1" precision="I32">
-					<dim>3</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32">
-					<dim>1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="926" name="__module.decoder.conv_norm_out/aten::group_norm/Constant_1" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="21040" size="4" />
-			<output>
-				<port id="0" precision="I32">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="927" name="__module.decoder.conv_norm_out/aten::group_norm/MVN" type="MVN" version="opset6">
-			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-				</port>
-				<port id="1" precision="I32">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32">
-					<dim>1</dim>
-					<dim>32</dim>
+				<port id="1" precision="FP32">
 					<dim>-1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="928" name="__module.decoder.conv_norm_out/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
-			<data output_type="i32" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
 					<dim>128</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I32">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="929" name="__module.decoder.conv_norm_out/aten::group_norm/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>32</dim>
+				<port id="2" precision="FP32" names="626,627,input.145">
 					<dim>-1</dim>
-				</port>
-				<port id="1" precision="I32">
-					<dim>4</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32">
-					<dim>1</dim>
 					<dim>128</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="930" name="Constant_639348_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 128, 1, 1" offset="49568324" size="256" />
+		<layer id="596" name="self.decoder.conv_norm_out.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="128" offset="49643352" size="512" />
 			<output>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
+				<port id="0" precision="FP32" names="self.decoder.conv_norm_out.weight">
 					<dim>128</dim>
-					<dim>1</dim>
-					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="931" name="Constant_639348" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
-			<input>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>128</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
-			</input>
+		<layer id="597" name="self.decoder.conv_norm_out.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="128" offset="49643864" size="512" />
 			<output>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
+				<port id="0" precision="FP32" names="self.decoder.conv_norm_out.bias">
 					<dim>128</dim>
-					<dim>1</dim>
-					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="932" name="__module.decoder.conv_norm_out/aten::group_norm/Multiply" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="598" name="__module.decoder.conv_norm_out/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
+			<data num_groups="32" epsilon="9.9999999747524271e-07" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>128</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
 					<dim>128</dim>
-					<dim>1</dim>
-					<dim>1</dim>
 				</port>
-			</input>
-			<output>
 				<port id="2" precision="FP32">
-					<dim>1</dim>
-					<dim>128</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="933" name="Constant_639349_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 128, 1, 1" offset="49568580" size="256" />
-			<output>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>128</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="934" name="Constant_639349" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
-			<input>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
 					<dim>128</dim>
-					<dim>1</dim>
-					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>128</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="935" name="__module.decoder.conv_norm_out/aten::group_norm/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>128</dim>
-					<dim>-1</dim>
+				<port id="3" precision="FP32" names="630,input">
 					<dim>-1</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>128</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="630,input">
-					<dim>1</dim>
 					<dim>128</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="936" name="__module.decoder.conv_act/aten::silu/Swish" type="Swish" version="opset4">
+		<layer id="599" name="__module.decoder.conv_act/aten::silu/Swish" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
-					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>128</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
@@ -16858,15 +10354,15 @@
 			</input>
 			<output>
 				<port id="1" precision="FP32" names="631">
-					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>128</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="937" name="self.decoder.conv_out.weight_compressed" type="Const" version="opset1">
-			<data element_type="u8" shape="3, 128, 3, 3" offset="49568836" size="3456" />
+		<layer id="600" name="self.decoder.conv_out.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="3, 128, 3, 3" offset="49644376" size="3456" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>3</dim>
@@ -16876,7 +10372,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="938" name="Convert_768943" type="Convert" version="opset1">
+		<layer id="601" name="Convert_125377" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -16895,8 +10391,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="939" name="self.decoder.conv_out.weight_compressed/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="3, 1, 1, 1" offset="49572292" size="3" />
+		<layer id="602" name="self.decoder.conv_out.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="3, 1, 1, 1" offset="49647832" size="3" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>3</dim>
@@ -16906,7 +10402,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="940" name="Convert_768946" type="Convert" version="opset1">
+		<layer id="603" name="Convert_125380" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -16925,7 +10421,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="941" name="self.decoder.conv_out.weight_compressed/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="604" name="self.decoder.conv_out.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -16950,8 +10446,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="942" name="self.decoder.conv_out.weight_compressed/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="3, 1, 1, 1" offset="49572295" size="6" />
+		<layer id="605" name="self.decoder.conv_out.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="3, 1, 1, 1" offset="49647835" size="6" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>3</dim>
@@ -16961,7 +10457,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="943" name="self.decoder.conv_out.weight_compressed/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="606" name="self.decoder.conv_out.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -16986,11 +10482,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="944" name="self.decoder.conv_out.weight" type="Convert" version="opset1">
+		<layer id="607" name="self.decoder.conv_out.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
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 			<input>
 				<port id="0" precision="FP16">
 					<dim>3</dim>
@@ -17008,11 +10501,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="945" name="__module.decoder.conv_out/aten::_convolution/Convolution" type="Convolution" version="opset1">
+		<layer id="608" name="__module.decoder.conv_out/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>128</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
@@ -17026,39 +10519,17 @@
 			</input>
 			<output>
 				<port id="2" precision="FP32">
-					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>3</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="946" name="__module.decoder.conv_out/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 3, 1, 1" offset="49572301" size="6" />
-			<output>
-				<port id="0" precision="FP16">
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-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="947" name="__module.decoder.conv_out/aten::_convolution/Reshape" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
-			<input>
-				<port id="0" precision="FP16">
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-					<dim>3</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
-			</input>
+		<layer id="609" name="__module.decoder.conv_out/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 3, 1, 1" offset="49647841" size="12" />
 			<output>
-				<port id="1" precision="FP32">
+				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>3</dim>
 					<dim>1</dim>
@@ -17066,11 +10537,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="948" name="__module.decoder.conv_out/aten::_convolution/Add" type="Add" version="opset1">
+		<layer id="610" name="__module.decoder.conv_out/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>3</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
@@ -17084,17 +10555,17 @@
 			</input>
 			<output>
 				<port id="2" precision="FP32" names="sample">
-					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>3</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="949" name="Result_634492" type="Result" version="opset1">
+		<layer id="611" name="Result_99032" type="Result" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
-					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>3</dim>
 					<dim>-1</dim>
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 	</edges>
 	<rt_info>
-		<Runtime_version value="2024.2.0-15229-1b5a6c49e9b" />
+		<Runtime_version value="2024.6.0-17404-4c0f47d2335-releases/2024/6" />
 		<conversion_parameters>
 			<framework value="pytorch" />
 			<is_python_object value="True" />
@@ -18124,27 +11213,29 @@
 		<nncf>
 			<friendly_names_were_updated value="True" />
 			<weight_compression>
+				<advanced_parameters value="{'statistics_path': None, 'awq_params': {'subset_size': 32, 'percent_to_apply': 0.002, 'alpha_min': 0.0, 'alpha_max': 1.0, 'steps': 100}, 'scale_estimation_params': {'subset_size': 64, 'initial_steps': 5, 'scale_steps': 5, 'weight_penalty': -1.0}, 'gptq_params': {'damp_percent': 0.1, 'block_size': 128, 'subset_size': 128}, 'lora_correction_params': {'adapter_rank': 8, 'num_iterations': 3, 'apply_regularization': True, 'subset_size': 128, 'use_int8_adapters': True}}" />
 				<all_layers value="False" />
 				<awq value="False" />
+				<backup_mode value="int8_asym" />
+				<gptq value="False" />
 				<group_size value="-1" />
-				<ignored_scope>
-					<names value="[]" />
-					<patterns value="[]" />
-					<subgraphs value="[]" />
-					<types value="[]" />
-					<validate value="True" />
-				</ignored_scope>
+				<ignored_scope value="[]" />
+				<lora_correction value="False" />
 				<mode value="int8_asym" />
 				<ratio value="1" />
+				<scale_estimation value="False" />
 				<sensitivity_metric value="weight_quantization_error" />
 			</weight_compression>
 		</nncf>
 		<optimum>
-			<diffusers_version value="1.19.1" />
-			<optimum_intel_version value="1.17.0.dev0+e1b6a59" />
-			<optimum_version value="1.19.1" />
-			<pytorch_version value="2.3.0+cpu" />
-			<transformers_version value="4.40.1" />
+			<diffusers_version value="0.31.0" />
+			<optimum_intel_version value="1.22.0.dev0+420fa87d" />
+			<optimum_version value="1.23.0" />
+			<pytorch_version value="2.5.1+cpu" />
+			<transformers_version value="4.46.3" />
 		</optimum>
+		<runtime_options>
+			<ACTIVATIONS_SCALE_FACTOR value="8.0" />
+		</runtime_options>
 	</rt_info>
 </net>