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"
@@ -244,68 +244,80 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="13" name="__module.decoder.mid_block.resnets.0.norm1/aten::group_norm/Constant" type="Const" version="opset1">
-			<data element_type="i32" shape="3" offset="37928" size="12" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="13" name="self.decoder.mid_block.resnets.0.norm1.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="512" offset="37928" size="1024" />
 			<output>
-				<port id="0" precision="I32">
-					<dim>3</dim>
+				<port id="0" precision="FP16" names="self.decoder.mid_block.resnets.0.norm1.weight">
+					<dim>512</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="14" name="__module.decoder.mid_block.resnets.0.norm1/aten::group_norm/Reshape" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="14" name="self.decoder.mid_block.resnets.0.norm1.weight" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
+				<port id="0" precision="FP16">
 					<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 id="1" precision="FP32">
+					<dim>512</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="15" name="__module.decoder.mid_block.resnets.0.norm1/aten::group_norm/Constant_1" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="37940" size="4" />
+		<layer id="15" name="self.decoder.mid_block.resnets.0.norm1.bias_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="512" offset="38952" size="1024" />
 			<output>
-				<port id="0" precision="I32">
-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.decoder.mid_block.resnets.0.norm1.bias">
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="16" name="self.decoder.mid_block.resnets.0.norm1.bias" 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>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="16" 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" />
+		<layer id="17" 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>32</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">
+				<port id="3" precision="FP32" names="74,input.3">
+					<dim>-1</dim>
+					<dim>512</dim>
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="17" name="__module.decoder.mid_block.resnets.0.norm1/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
-			<data output_type="i32" />
+		<layer id="18" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -315,21 +327,61 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I32">
-					<dim>4</dim>
+				<port id="1" precision="FP32" names="75">
+					<dim>-1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="18" name="__module.decoder.mid_block.resnets.0.norm1/aten::group_norm/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="19" name="self.decoder.mid_block.resnets.0.conv1.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 512, 3, 3" offset="39976" size="4718592" />
+			<output>
+				<port id="0" precision="FP16" names="self.decoder.mid_block.resnets.0.conv1.weight">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="20" name="self.decoder.mid_block.resnets.0.conv1.weight" 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>
+					<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="21" 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>32</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>
@@ -341,8 +393,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="19" name="Constant_639286_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 512, 1, 1" offset="37944" size="1024" />
+		<layer id="22" 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="4758568" size="1024" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -352,7 +404,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="20" name="Constant_639286" type="Convert" version="opset1">
+		<layer id="23" 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" />
@@ -374,7 +426,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="21" name="__module.decoder.mid_block.resnets.0.norm1/aten::group_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="24" 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">
@@ -391,7 +443,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="2" precision="FP32" names="82,input.5">
 					<dim>-1</dim>
 					<dim>512</dim>
 					<dim>-1</dim>
@@ -399,41 +451,56 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="22" name="Constant_639287_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 512, 1, 1" offset="38968" size="1024" />
+		<layer id="25" name="self.decoder.mid_block.resnets.0.norm2.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="512" offset="4759592" size="1024" />
 			<output>
+				<port id="0" precision="FP16" names="self.decoder.mid_block.resnets.0.norm2.weight">
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="26" name="self.decoder.mid_block.resnets.0.norm2.weight" 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>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="27" name="self.decoder.mid_block.resnets.0.norm2.bias_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="512" offset="4760616" size="1024" />
+			<output>
+				<port id="0" precision="FP16" names="self.decoder.mid_block.resnets.0.norm2.bias">
+					<dim>512</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="23" name="Constant_639287" type="Convert" version="opset1">
+		<layer id="28" name="self.decoder.mid_block.resnets.0.norm2.bias" 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="24" name="__module.decoder.mid_block.resnets.0.norm1/aten::group_norm/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="29" 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>
@@ -442,14 +509,14 @@
 					<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="74,input.3">
+				<port id="3" precision="FP32" names="85,input.7">
 					<dim>-1</dim>
 					<dim>512</dim>
 					<dim>-1</dim>
@@ -457,7 +524,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="25" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish" type="Swish" version="opset4">
+		<layer id="30" 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>
@@ -467,7 +534,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="75">
+				<port id="1" precision="FP32" names="86,input.9">
 					<dim>-1</dim>
 					<dim>512</dim>
 					<dim>-1</dim>
@@ -475,10 +542,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="26" name="self.decoder.mid_block.resnets.0.conv1.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="512, 512, 3, 3" offset="39992" size="4718592" />
+		<layer id="31" name="self.decoder.mid_block.resnets.0.conv2.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 512, 3, 3" offset="4761640" size="4718592" />
 			<output>
-				<port id="0" precision="FP16" names="self.decoder.mid_block.resnets.0.conv1.weight">
+				<port id="0" precision="FP16" names="self.decoder.mid_block.resnets.0.conv2.weight">
 					<dim>512</dim>
 					<dim>512</dim>
 					<dim>3</dim>
@@ -486,7 +553,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="27" name="self.decoder.mid_block.resnets.0.conv1.weight" type="Convert" version="opset1">
+		<layer id="32" name="self.decoder.mid_block.resnets.0.conv2.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -508,7 +575,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="28" name="__module.decoder.mid_block.resnets.0.conv1/aten::_convolution/Convolution" type="Convolution" version="opset1">
+		<layer id="33" 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">
@@ -533,8 +600,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="29" 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="4758584" size="1024" />
+		<layer id="34" 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="9480232" size="1024" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -544,7 +611,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="30" name="__module.decoder.mid_block.resnets.0.conv1/aten::_convolution/Reshape" type="Convert" version="opset1">
+		<layer id="35" 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" />
@@ -566,7 +633,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="31" name="__module.decoder.mid_block.resnets.0.conv1/aten::_convolution/Add" type="Add" version="opset1">
+		<layer id="36" 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">
@@ -583,7 +650,32 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="82,input.5">
+				<port id="2" precision="FP32" names="94,hidden_states.1">
+					<dim>-1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="37" 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>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="95,96,hidden_states.3">
 					<dim>-1</dim>
 					<dim>512</dim>
 					<dim>-1</dim>
@@ -591,18 +683,18 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="32" name="__module.decoder.mid_block.resnets.0.norm2/aten::group_norm/Constant" type="Const" version="opset1">
-			<data element_type="i32" shape="3" offset="37928" size="12" />
+		<layer id="38" name="Constant_106416" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="9481256" size="24" />
 			<rt_info>
 				<attribute name="precise" version="0" />
 			</rt_info>
 			<output>
-				<port id="0" precision="I32">
+				<port id="0" precision="I64">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="33" name="__module.decoder.mid_block.resnets.0.norm2/aten::group_norm/Reshape" type="Reshape" version="opset1">
+		<layer id="39" name="__module.decoder.mid_block.attentions.0/aten::view/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -611,5414 +703,483 @@
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
-				<port id="1" precision="I32">
+				<port id="1" precision="I64">
 					<dim>3</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="2" precision="FP32" names="112">
 					<dim>-1</dim>
-					<dim>32</dim>
+					<dim>512</dim>
 					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="34" name="__module.decoder.mid_block.resnets.0.norm2/aten::group_norm/Constant_1" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="37940" size="4" />
+		<layer id="40" name="__module.decoder.mid_block.attentions.0/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="9481280" size="12" />
 			<output>
 				<port id="0" precision="I32">
-					<dim>1</dim>
+					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="35" 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" />
+		<layer id="41" name="__module.decoder.mid_block.attentions.0/aten::transpose/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
+					<dim>512</dim>
 					<dim>-1</dim>
 				</port>
 				<port id="1" precision="I32">
-					<dim>1</dim>
+					<dim>3</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="2" precision="FP32" names="113,hidden_states.5">
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+		<layer id="69" name="self.decoder.mid_block.attentions.0.to_v.weight_compressed" type="Const" version="opset1">
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@@ -6027,393 +1188,415 @@
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+		<layer id="71" name="__module.decoder.mid_block.attentions.0.to_v/aten::linear/MatMul" type="MatMul" version="opset1">
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+		<layer id="72" name="Constant_106303_compressed" type="Const" version="opset1">
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-					<dim>512</dim>
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-			<data element_type="f16" shape="1, 512, 1, 1" offset="63520968" size="1024" />
+		<layer id="84" name="self.decoder.mid_block.attentions.0.to_out.0.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 512" offset="11059396" size="524288" />
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 			</output>
 		</layer>
-		<layer id="355" name="Constant_639316" type="Convert" version="opset1">
+		<layer id="85" name="self.decoder.mid_block.attentions.0.to_out.0.weight" type="Convert" version="opset1">
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 		</layer>
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-			<data auto_broadcast="numpy" />
+		<layer id="86" name="__module.decoder.mid_block.attentions.0.to_out.0/aten::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
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 					<dim>-1</dim>
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-			<data element_type="f16" shape="1, 512, 1, 1" offset="63521992" size="1024" />
+		<layer id="87" name="Constant_106304_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 512" offset="11583684" size="1024" />
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-					<dim>512</dim>
 					<dim>1</dim>
 					<dim>1</dim>
+					<dim>512</dim>
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 			</output>
 		</layer>
-		<layer id="358" name="Constant_639317" type="Convert" version="opset1">
+		<layer id="88" name="Constant_106304" type="Convert" version="opset1">
 			<data destination_type="f32" />
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 				<attribute name="decompression" version="0" />
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+					<dim>512</dim>
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-					<dim>512</dim>
 					<dim>1</dim>
 					<dim>1</dim>
+					<dim>512</dim>
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 			</output>
 		</layer>
-		<layer id="359" name="__module.decoder.up_blocks.1.resnets.1.norm1/aten::group_norm/Add" type="Add" version="opset1">
+		<layer id="89" name="__module.decoder.mid_block.attentions.0.to_out.0/aten::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
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-					<dim>512</dim>
 					<dim>1</dim>
 					<dim>1</dim>
+					<dim>512</dim>
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 			<output>
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-					<dim>-1</dim>
-					<dim>512</dim>
+				<port id="2" precision="FP32" names="153,input.13">
 					<dim>-1</dim>
 					<dim>-1</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="90" name="__module.decoder.mid_block.attentions.0/aten::transpose/Constant_7" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="9481280" size="12" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="360" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_12" type="Swish" version="opset4">
+		<layer id="91" name="__module.decoder.mid_block.attentions.0/aten::transpose/Transpose_7" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
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-					<dim>512</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
+					<dim>512</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>3</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="346">
+				<port id="2" precision="FP32" names="155">
 					<dim>-1</dim>
 					<dim>512</dim>
 					<dim>-1</dim>
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 			</output>
 		</layer>
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-			<output>
-				<port id="0" precision="FP16" names="self.decoder.up_blocks.1.resnets.1.conv1.weight">
-					<dim>512</dim>
+		<layer id="92" name="__module.decoder.mid_block.attentions.0/aten::size/ShapeOf" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
 					<dim>512</dim>
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-					<dim>3</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64">
+					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="362" name="self.decoder.up_blocks.1.resnets.1.conv1.weight" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
+		<layer id="93" name="__module.decoder.mid_block.attentions.0/aten::reshape/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="false" />
 			<input>
-				<port id="0" precision="FP16">
-					<dim>512</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
 					<dim>512</dim>
-					<dim>3</dim>
-					<dim>3</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
-					<dim>512</dim>
+				<port id="2" precision="FP32" names="157,hidden_states.13">
+					<dim>-1</dim>
 					<dim>512</dim>
-					<dim>3</dim>
-					<dim>3</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="363" 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" />
+		<layer id="94" name="__module.decoder.mid_block.attentions.0/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -6422,56 +1605,71 @@
 					<dim>-1</dim>
 				</port>
 				<port id="1" precision="FP32">
+					<dim>-1</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">
+				<port id="2" precision="FP32" names="158,159,hidden_states.15,input.15">
 					<dim>-1</dim>
 					<dim>512</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="95" name="self.decoder.mid_block.resnets.1.norm1.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="512" offset="11584708" size="1024" />
+			<output>
+				<port id="0" precision="FP16" names="self.decoder.mid_block.resnets.1.norm1.weight">
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="96" name="self.decoder.mid_block.resnets.1.norm1.weight" 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>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="364" name="__module.decoder.up_blocks.1.resnets.1.conv1/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 512, 1, 1" offset="68241608" size="1024" />
+		<layer id="97" name="self.decoder.mid_block.resnets.1.norm1.bias_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="512" offset="11585732" size="1024" />
 			<output>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.decoder.mid_block.resnets.1.norm1.bias">
 					<dim>512</dim>
-					<dim>1</dim>
-					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="365" name="__module.decoder.up_blocks.1.resnets.1.conv1/aten::_convolution/Reshape" type="Convert" version="opset1">
+		<layer id="98" name="self.decoder.mid_block.resnets.1.norm1.bias" 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="366" name="__module.decoder.up_blocks.1.resnets.1.conv1/aten::_convolution/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="99" name="__module.decoder.mid_block.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>
@@ -6480,14 +1678,14 @@
 					<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="353,input.69">
+				<port id="3" precision="FP32" names="168,input.17">
 					<dim>-1</dim>
 					<dim>512</dim>
 					<dim>-1</dim>
@@ -6495,19 +1693,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="367" name="__module.decoder.up_blocks.1.resnets.1.norm2/aten::group_norm/Constant" type="Const" version="opset1">
-			<data element_type="i32" shape="3" offset="37928" 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="368" name="__module.decoder.up_blocks.1.resnets.1.norm2/aten::group_norm/Reshape" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="100" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_2" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -6515,48 +1701,51 @@
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
-				<port id="1" precision="I32">
-					<dim>3</dim>
-				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="1" precision="FP32" names="169">
+					<dim>-1</dim>
+					<dim>512</dim>
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="369" name="__module.decoder.up_blocks.1.resnets.1.norm2/aten::group_norm/Constant_1" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="37940" size="4" />
+		<layer id="101" name="self.decoder.mid_block.resnets.1.conv1.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 512, 3, 3" offset="11586756" size="4718592" />
 			<output>
-				<port id="0" precision="I32">
-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.decoder.mid_block.resnets.1.conv1.weight">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="370" name="__module.decoder.up_blocks.1.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="102" name="self.decoder.mid_block.resnets.1.conv1.weight" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<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 id="0" precision="FP16">
+					<dim>512</dim>
+					<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="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="371" name="__module.decoder.up_blocks.1.resnets.1.norm2/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
-			<data output_type="i32" />
+		<layer id="103" name="__module.decoder.mid_block.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>
@@ -6564,23 +1753,11 @@
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
-			</input>
-			<output>
-				<port id="1" precision="I32">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="372" name="__module.decoder.up_blocks.1.resnets.1.norm2/aten::group_norm/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
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-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</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>
@@ -6592,8 +1769,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="373" name="Constant_639318_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 512, 1, 1" offset="68242632" size="1024" />
+		<layer id="104" 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="16305348" size="1024" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -6603,7 +1780,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="374" name="Constant_639318" type="Convert" version="opset1">
+		<layer id="105" 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" />
@@ -6625,7 +1802,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="375" name="__module.decoder.up_blocks.1.resnets.1.norm2/aten::group_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="106" name="__module.decoder.mid_block.resnets.1.conv1/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -6642,7 +1819,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="2" precision="FP32" names="176,input.19">
 					<dim>-1</dim>
 					<dim>512</dim>
 					<dim>-1</dim>
@@ -6650,41 +1827,56 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="376" name="Constant_639319_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 512, 1, 1" offset="68243656" size="1024" />
+		<layer id="107" name="self.decoder.mid_block.resnets.1.norm2.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="512" offset="16306372" size="1024" />
 			<output>
+				<port id="0" precision="FP16" names="self.decoder.mid_block.resnets.1.norm2.weight">
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="108" name="self.decoder.mid_block.resnets.1.norm2.weight" 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>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="109" name="self.decoder.mid_block.resnets.1.norm2.bias_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="512" offset="16307396" size="1024" />
+			<output>
+				<port id="0" precision="FP16" names="self.decoder.mid_block.resnets.1.norm2.bias">
+					<dim>512</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="377" name="Constant_639319" type="Convert" version="opset1">
+		<layer id="110" name="self.decoder.mid_block.resnets.1.norm2.bias" 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="378" name="__module.decoder.up_blocks.1.resnets.1.norm2/aten::group_norm/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="111" name="__module.decoder.mid_block.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>
@@ -6693,14 +1885,14 @@
 					<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="356,input.71">
+				<port id="3" precision="FP32" names="179,input.21">
 					<dim>-1</dim>
 					<dim>512</dim>
 					<dim>-1</dim>
@@ -6708,7 +1900,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="379" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_13" type="Swish" version="opset4">
+		<layer id="112" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_3" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -6718,7 +1910,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="357,input.73">
+				<port id="1" precision="FP32" names="180,input.23">
 					<dim>-1</dim>
 					<dim>512</dim>
 					<dim>-1</dim>
@@ -6726,10 +1918,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="380" name="self.decoder.up_blocks.1.resnets.1.conv2.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="512, 512, 3, 3" offset="68244680" size="4718592" />
+		<layer id="113" name="self.decoder.mid_block.resnets.1.conv2.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 512, 3, 3" offset="16308420" size="4718592" />
 			<output>
-				<port id="0" precision="FP16" names="self.decoder.up_blocks.1.resnets.1.conv2.weight">
+				<port id="0" precision="FP16" names="self.decoder.mid_block.resnets.1.conv2.weight">
 					<dim>512</dim>
 					<dim>512</dim>
 					<dim>3</dim>
@@ -6737,7 +1929,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="381" name="self.decoder.up_blocks.1.resnets.1.conv2.weight" type="Convert" version="opset1">
+		<layer id="114" name="self.decoder.mid_block.resnets.1.conv2.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -6759,7 +1951,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="382" name="__module.decoder.up_blocks.1.resnets.1.conv2/aten::_convolution/Convolution" type="Convolution" version="opset1">
+		<layer id="115" 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">
@@ -6784,8 +1976,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="383" name="__module.decoder.up_blocks.1.resnets.1.conv2/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 512, 1, 1" offset="72963272" size="1024" />
+		<layer id="116" 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="21027012" size="1024" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -6795,7 +1987,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="384" name="__module.decoder.up_blocks.1.resnets.1.conv2/aten::_convolution/Reshape" type="Convert" version="opset1">
+		<layer id="117" 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" />
@@ -6817,7 +2009,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="385" name="__module.decoder.up_blocks.1.resnets.1.conv2/aten::_convolution/Add" type="Add" version="opset1">
+		<layer id="118" name="__module.decoder.mid_block.resnets.1.conv2/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -6834,7 +2026,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="365,hidden_states.29">
+				<port id="2" precision="FP32" names="188,hidden_states.17">
 					<dim>-1</dim>
 					<dim>512</dim>
 					<dim>-1</dim>
@@ -6842,7 +2034,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="386" name="__module.decoder.up_blocks.1.resnets.1/aten::add/Add" type="Add" version="opset1">
+		<layer id="119" name="__module.decoder.mid_block.resnets.1/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -6859,7 +2051,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="366,367,input.75">
+				<port id="2" precision="FP32" names="189,190,191,input.25,sample">
 					<dim>-1</dim>
 					<dim>512</dim>
 					<dim>-1</dim>
@@ -6867,68 +2059,80 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="387" name="__module.decoder.up_blocks.1.resnets.2.norm1/aten::group_norm/Constant" type="Const" version="opset1">
-			<data element_type="i32" shape="3" offset="37928" size="12" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="120" name="self.decoder.up_blocks.0.resnets.0.norm1.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="512" offset="21028036" size="1024" />
 			<output>
-				<port id="0" precision="I32">
-					<dim>3</dim>
+				<port id="0" precision="FP16" names="self.decoder.up_blocks.0.resnets.0.norm1.weight">
+					<dim>512</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="388" name="__module.decoder.up_blocks.1.resnets.2.norm1/aten::group_norm/Reshape" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="121" name="self.decoder.up_blocks.0.resnets.0.norm1.weight" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
+				<port id="0" precision="FP16">
 					<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 id="1" precision="FP32">
+					<dim>512</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="389" name="__module.decoder.up_blocks.1.resnets.2.norm1/aten::group_norm/Constant_1" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="37940" size="4" />
+		<layer id="122" name="self.decoder.up_blocks.0.resnets.0.norm1.bias_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="512" offset="21029060" size="1024" />
 			<output>
-				<port id="0" precision="I32">
-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.decoder.up_blocks.0.resnets.0.norm1.bias">
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="123" name="self.decoder.up_blocks.0.resnets.0.norm1.bias" 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>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="390" name="__module.decoder.up_blocks.1.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="124" name="__module.decoder.up_blocks.0.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>32</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">
+				<port id="3" precision="FP32" names="207,input.27">
+					<dim>-1</dim>
+					<dim>512</dim>
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="391" name="__module.decoder.up_blocks.1.resnets.2.norm1/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
-			<data output_type="i32" />
+		<layer id="125" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_4" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -6938,21 +2142,61 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I32">
-					<dim>4</dim>
+				<port id="1" precision="FP32" names="208">
+					<dim>-1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="392" name="__module.decoder.up_blocks.1.resnets.2.norm1/aten::group_norm/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="126" name="self.decoder.up_blocks.0.resnets.0.conv1.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 512, 3, 3" offset="21030084" size="4718592" />
+			<output>
+				<port id="0" precision="FP16" names="self.decoder.up_blocks.0.resnets.0.conv1.weight">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="127" name="self.decoder.up_blocks.0.resnets.0.conv1.weight" 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>
+					<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="128" 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>32</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>
@@ -6964,8 +2208,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="393" name="Constant_639320_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 512, 1, 1" offset="72964296" size="1024" />
+		<layer id="129" 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="25748676" size="1024" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -6975,7 +2219,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="394" name="Constant_639320" type="Convert" version="opset1">
+		<layer id="130" 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" />
@@ -6997,7 +2241,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="395" name="__module.decoder.up_blocks.1.resnets.2.norm1/aten::group_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="131" 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">
@@ -7009,54 +2253,69 @@
 				<port id="1" precision="FP32">
 					<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="215,input.29">
+					<dim>-1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="132" name="self.decoder.up_blocks.0.resnets.0.norm2.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="512" offset="25749700" size="1024" />
+			<output>
+				<port id="0" precision="FP16" names="self.decoder.up_blocks.0.resnets.0.norm2.weight">
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="133" name="self.decoder.up_blocks.0.resnets.0.norm2.weight" 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>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
-					<dim>-1</dim>
+				<port id="1" precision="FP32">
 					<dim>512</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="396" name="Constant_639321_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 512, 1, 1" offset="72965320" size="1024" />
+		<layer id="134" name="self.decoder.up_blocks.0.resnets.0.norm2.bias_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="512" offset="25750724" size="1024" />
 			<output>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.decoder.up_blocks.0.resnets.0.norm2.bias">
 					<dim>512</dim>
-					<dim>1</dim>
-					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="397" name="Constant_639321" type="Convert" version="opset1">
+		<layer id="135" name="self.decoder.up_blocks.0.resnets.0.norm2.bias" 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="398" name="__module.decoder.up_blocks.1.resnets.2.norm1/aten::group_norm/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="136" 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>
@@ -7065,14 +2324,14 @@
 					<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="375,input.77">
+				<port id="3" precision="FP32" names="218,input.31">
 					<dim>-1</dim>
 					<dim>512</dim>
 					<dim>-1</dim>
@@ -7080,7 +2339,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="399" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_14" type="Swish" version="opset4">
+		<layer id="137" 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>
@@ -7090,7 +2349,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="376">
+				<port id="1" precision="FP32" names="219,input.33">
 					<dim>-1</dim>
 					<dim>512</dim>
 					<dim>-1</dim>
@@ -7098,10 +2357,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="400" name="self.decoder.up_blocks.1.resnets.2.conv1.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="512, 512, 3, 3" offset="72966344" size="4718592" />
+		<layer id="138" name="self.decoder.up_blocks.0.resnets.0.conv2.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 512, 3, 3" offset="25751748" size="4718592" />
 			<output>
-				<port id="0" precision="FP16" names="self.decoder.up_blocks.1.resnets.2.conv1.weight">
+				<port id="0" precision="FP16" names="self.decoder.up_blocks.0.resnets.0.conv2.weight">
 					<dim>512</dim>
 					<dim>512</dim>
 					<dim>3</dim>
@@ -7109,7 +2368,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="401" name="self.decoder.up_blocks.1.resnets.2.conv1.weight" type="Convert" version="opset1">
+		<layer id="139" name="self.decoder.up_blocks.0.resnets.0.conv2.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -7131,7 +2390,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="402" name="__module.decoder.up_blocks.1.resnets.2.conv1/aten::_convolution/Convolution" type="Convolution" version="opset1">
+		<layer id="140" 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">
@@ -7156,8 +2415,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="403" name="__module.decoder.up_blocks.1.resnets.2.conv1/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 512, 1, 1" offset="77684936" size="1024" />
+		<layer id="141" 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="30470340" size="1024" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -7167,7 +2426,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="404" name="__module.decoder.up_blocks.1.resnets.2.conv1/aten::_convolution/Reshape" type="Convert" version="opset1">
+		<layer id="142" 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" />
@@ -7189,7 +2448,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="405" name="__module.decoder.up_blocks.1.resnets.2.conv1/aten::_convolution/Add" type="Add" version="opset1">
+		<layer id="143" 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="FP32">
@@ -7206,7 +2465,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="383,input.79">
+				<port id="2" precision="FP32" names="227,hidden_states.19">
 					<dim>-1</dim>
 					<dim>512</dim>
 					<dim>-1</dim>
@@ -7214,19 +2473,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="406" name="__module.decoder.up_blocks.1.resnets.2.norm2/aten::group_norm/Constant" type="Const" version="opset1">
-			<data element_type="i32" shape="3" offset="37928" 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="407" name="__module.decoder.up_blocks.1.resnets.2.norm2/aten::group_norm/Reshape" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="144" 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>
@@ -7234,48 +2482,96 @@
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
-				<port id="1" precision="I32">
-					<dim>3</dim>
+				<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">
+				<port id="2" precision="FP32" names="228,229,input.35">
+					<dim>-1</dim>
+					<dim>512</dim>
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="408" name="__module.decoder.up_blocks.1.resnets.2.norm2/aten::group_norm/Constant_1" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="37940" size="4" />
+		<layer id="145" name="self.decoder.up_blocks.0.resnets.1.norm1.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="512" offset="30471364" size="1024" />
 			<output>
-				<port id="0" precision="I32">
-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.decoder.up_blocks.0.resnets.1.norm1.weight">
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="146" name="self.decoder.up_blocks.0.resnets.1.norm1.weight" 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>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="147" name="self.decoder.up_blocks.0.resnets.1.norm1.bias_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="512" offset="30472388" size="1024" />
+			<output>
+				<port id="0" precision="FP16" names="self.decoder.up_blocks.0.resnets.1.norm1.bias">
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="148" name="self.decoder.up_blocks.0.resnets.1.norm1.bias" 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>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="409" name="__module.decoder.up_blocks.1.resnets.2.norm2/aten::group_norm/MVN" type="MVN" version="opset6">
-			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+		<layer id="149" 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>32</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">
+				<port id="3" precision="FP32" names="237,input.37">
+					<dim>-1</dim>
+					<dim>512</dim>
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="410" name="__module.decoder.up_blocks.1.resnets.2.norm2/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
-			<data output_type="i32" />
+		<layer id="150" 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>
@@ -7285,21 +2581,61 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I32">
-					<dim>4</dim>
+				<port id="1" precision="FP32" names="238">
+					<dim>-1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="411" name="__module.decoder.up_blocks.1.resnets.2.norm2/aten::group_norm/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="151" name="self.decoder.up_blocks.0.resnets.1.conv1.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 512, 3, 3" offset="30473412" size="4718592" />
+			<output>
+				<port id="0" precision="FP16" names="self.decoder.up_blocks.0.resnets.1.conv1.weight">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="152" name="self.decoder.up_blocks.0.resnets.1.conv1.weight" 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>
+					<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="153" 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>32</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>
@@ -7311,8 +2647,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="412" name="Constant_639322_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 512, 1, 1" offset="77685960" size="1024" />
+		<layer id="154" 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="35192004" size="1024" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -7322,7 +2658,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="413" name="Constant_639322" type="Convert" version="opset1">
+		<layer id="155" 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" />
@@ -7344,7 +2680,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="414" name="__module.decoder.up_blocks.1.resnets.2.norm2/aten::group_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="156" 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="FP32">
@@ -7361,7 +2697,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="2" precision="FP32" names="245,input.39">
 					<dim>-1</dim>
 					<dim>512</dim>
 					<dim>-1</dim>
@@ -7369,41 +2705,56 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="415" name="Constant_639323_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 512, 1, 1" offset="77686984" size="1024" />
+		<layer id="157" name="self.decoder.up_blocks.0.resnets.1.norm2.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="512" offset="35193028" size="1024" />
 			<output>
+				<port id="0" precision="FP16" names="self.decoder.up_blocks.0.resnets.1.norm2.weight">
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="158" name="self.decoder.up_blocks.0.resnets.1.norm2.weight" 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>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="159" name="self.decoder.up_blocks.0.resnets.1.norm2.bias_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="512" offset="35194052" size="1024" />
+			<output>
+				<port id="0" precision="FP16" names="self.decoder.up_blocks.0.resnets.1.norm2.bias">
+					<dim>512</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="416" name="Constant_639323" type="Convert" version="opset1">
+		<layer id="160" name="self.decoder.up_blocks.0.resnets.1.norm2.bias" 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="417" name="__module.decoder.up_blocks.1.resnets.2.norm2/aten::group_norm/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="161" 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>
@@ -7412,14 +2763,14 @@
 					<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="386,input.81">
+				<port id="3" precision="FP32" names="248,input.41">
 					<dim>-1</dim>
 					<dim>512</dim>
 					<dim>-1</dim>
@@ -7427,7 +2778,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="418" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_15" type="Swish" version="opset4">
+		<layer id="162" 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>
@@ -7437,7 +2788,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="387,input.83">
+				<port id="1" precision="FP32" names="249,input.43">
 					<dim>-1</dim>
 					<dim>512</dim>
 					<dim>-1</dim>
@@ -7445,10 +2796,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="419" name="self.decoder.up_blocks.1.resnets.2.conv2.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="512, 512, 3, 3" offset="77688008" size="4718592" />
+		<layer id="163" name="self.decoder.up_blocks.0.resnets.1.conv2.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 512, 3, 3" offset="35195076" size="4718592" />
 			<output>
-				<port id="0" precision="FP16" names="self.decoder.up_blocks.1.resnets.2.conv2.weight">
+				<port id="0" precision="FP16" names="self.decoder.up_blocks.0.resnets.1.conv2.weight">
 					<dim>512</dim>
 					<dim>512</dim>
 					<dim>3</dim>
@@ -7456,7 +2807,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="420" name="self.decoder.up_blocks.1.resnets.2.conv2.weight" type="Convert" version="opset1">
+		<layer id="164" name="self.decoder.up_blocks.0.resnets.1.conv2.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -7478,7 +2829,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="421" name="__module.decoder.up_blocks.1.resnets.2.conv2/aten::_convolution/Convolution" type="Convolution" version="opset1">
+		<layer id="165" 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">
@@ -7503,8 +2854,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="422" name="__module.decoder.up_blocks.1.resnets.2.conv2/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 512, 1, 1" offset="82406600" size="1024" />
+		<layer id="166" name="__module.decoder.up_blocks.0.resnets.1.conv2/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="39913668" size="1024" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -7514,7 +2865,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="423" name="__module.decoder.up_blocks.1.resnets.2.conv2/aten::_convolution/Reshape" type="Convert" version="opset1">
+		<layer id="167" 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" />
@@ -7536,7 +2887,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="424" name="__module.decoder.up_blocks.1.resnets.2.conv2/aten::_convolution/Add" type="Add" version="opset1">
+		<layer id="168" 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="FP32">
@@ -7553,7 +2904,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="395,hidden_states.31">
+				<port id="2" precision="FP32" names="257,hidden_states.21">
 					<dim>-1</dim>
 					<dim>512</dim>
 					<dim>-1</dim>
@@ -7561,7 +2912,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="425" name="__module.decoder.up_blocks.1.resnets.2/aten::add/Add" type="Add" version="opset1">
+		<layer id="169" 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">
@@ -7578,7 +2929,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="396,397,hidden_states.33">
+				<port id="2" precision="FP32" names="258,259,input.45">
 					<dim>-1</dim>
 					<dim>512</dim>
 					<dim>-1</dim>
@@ -7586,27 +2937,56 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="426" name="__module.decoder.up_blocks.1.upsamplers.0/aten::upsample_nearest2d/Multiply" type="Const" version="opset1">
-			<data element_type="f32" shape="2" offset="49358008" size="8" />
+		<layer id="170" name="self.decoder.up_blocks.0.resnets.2.norm1.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="512" offset="39914692" size="1024" />
+			<output>
+				<port id="0" precision="FP16" names="self.decoder.up_blocks.0.resnets.2.norm1.weight">
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="171" name="self.decoder.up_blocks.0.resnets.2.norm1.weight" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="precise" version="0" />
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="FP32">
-					<dim>2</dim>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="427" name="Constant_629035" type="Const" version="opset1">
-			<data element_type="i32" shape="2" offset="49358016" size="8" />
+		<layer id="172" name="self.decoder.up_blocks.0.resnets.2.norm1.bias_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="512" offset="39915716" size="1024" />
 			<output>
-				<port id="0" precision="I32">
-					<dim>2</dim>
+				<port id="0" precision="FP16" names="self.decoder.up_blocks.0.resnets.2.norm1.bias">
+					<dim>512</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="428" 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" />
+		<layer id="173" name="self.decoder.up_blocks.0.resnets.2.norm1.bias" 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>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="174" 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>
@@ -7615,14 +2995,32 @@
 					<dim>-1</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>2</dim>
+					<dim>512</dim>
 				</port>
-				<port id="2" precision="I32">
-					<dim>2</dim>
+				<port id="2" precision="FP32">
+					<dim>512</dim>
+				</port>
+			</input>
+			<output>
+				<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="175" 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>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="3" precision="FP32" names="400">
+				<port id="1" precision="FP32" names="268">
 					<dim>-1</dim>
 					<dim>512</dim>
 					<dim>-1</dim>
@@ -7630,10 +3028,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="429" name="self.decoder.up_blocks.1.upsamplers.0.conv.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="512, 512, 3, 3" offset="82407624" size="4718592" />
+		<layer id="176" name="self.decoder.up_blocks.0.resnets.2.conv1.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 512, 3, 3" offset="39916740" size="4718592" />
 			<output>
-				<port id="0" precision="FP16" names="self.decoder.up_blocks.1.upsamplers.0.conv.weight">
+				<port id="0" precision="FP16" names="self.decoder.up_blocks.0.resnets.2.conv1.weight">
 					<dim>512</dim>
 					<dim>512</dim>
 					<dim>3</dim>
@@ -7641,7 +3039,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="430" name="self.decoder.up_blocks.1.upsamplers.0.conv.weight" type="Convert" version="opset1">
+		<layer id="177" name="self.decoder.up_blocks.0.resnets.2.conv1.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -7663,7 +3061,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="431" name="__module.decoder.up_blocks.1.upsamplers.0.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
+		<layer id="178" 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">
@@ -7688,8 +3086,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="432" name="__module.decoder.up_blocks.1.upsamplers.0.conv/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 512, 1, 1" offset="87126216" size="1024" />
+		<layer id="179" 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="44635332" size="1024" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -7699,7 +3097,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="433" name="__module.decoder.up_blocks.1.upsamplers.0.conv/aten::_convolution/Reshape" type="Convert" version="opset1">
+		<layer id="180" 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" />
@@ -7721,7 +3119,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="434" name="__module.decoder.up_blocks.1.upsamplers.0.conv/aten::_convolution/Add" type="Add" version="opset1">
+		<layer id="181" 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">
@@ -7738,7 +3136,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="407,input.85">
+				<port id="2" precision="FP32" names="275,input.49">
 					<dim>-1</dim>
 					<dim>512</dim>
 					<dim>-1</dim>
@@ -7746,135 +3144,80 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="435" name="self.decoder.up_blocks.2.resnets.0.conv_shortcut.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="256, 512, 1, 1" offset="87127240" size="262144" />
+		<layer id="182" name="self.decoder.up_blocks.0.resnets.2.norm2.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="512" offset="44636356" size="1024" />
 			<output>
-				<port id="0" precision="FP16" names="self.decoder.up_blocks.2.resnets.0.conv_shortcut.weight">
-					<dim>256</dim>
+				<port id="0" precision="FP16" names="self.decoder.up_blocks.0.resnets.2.norm2.weight">
 					<dim>512</dim>
-					<dim>1</dim>
-					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="436" name="self.decoder.up_blocks.2.resnets.0.conv_shortcut.weight" type="Convert" version="opset1">
+		<layer id="183" name="self.decoder.up_blocks.0.resnets.2.norm2.weight" 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>1</dim>
-					<dim>1</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP32">
-					<dim>256</dim>
-					<dim>512</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="437" 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>512</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>256</dim>
 					<dim>512</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32">
-					<dim>-1</dim>
-					<dim>256</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="438" name="__module.decoder.up_blocks.2.resnets.0.conv_shortcut/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 256, 1, 1" offset="87389384" size="512" />
+		<layer id="184" name="self.decoder.up_blocks.0.resnets.2.norm2.bias_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="512" offset="44637380" size="1024" />
 			<output>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>256</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.decoder.up_blocks.0.resnets.2.norm2.bias">
+					<dim>512</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="439" name="__module.decoder.up_blocks.2.resnets.0.conv_shortcut/aten::_convolution/Reshape" type="Convert" version="opset1">
+		<layer id="185" name="self.decoder.up_blocks.0.resnets.2.norm2.bias" 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>256</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+					<dim>512</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>256</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+					<dim>512</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="440" name="__module.decoder.up_blocks.2.resnets.0.conv_shortcut/aten::_convolution/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="186" 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>256</dim>
+					<dim>512</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>
+					<dim>512</dim>
+				</port>
+				<port id="2" precision="FP32">
+					<dim>512</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="451,input_tensor.1">
+				<port id="3" precision="FP32" names="278,input.51">
 					<dim>-1</dim>
-					<dim>256</dim>
+					<dim>512</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="441" name="__module.decoder.up_blocks.2.resnets.0.norm1/aten::group_norm/Constant" type="Const" version="opset1">
-			<data element_type="i32" shape="3" offset="37928" 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="442" name="__module.decoder.up_blocks.2.resnets.0.norm1/aten::group_norm/Reshape" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="187" 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>
@@ -7882,48 +3225,51 @@
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
-				<port id="1" precision="I32">
-					<dim>3</dim>
-				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="1" precision="FP32" names="279,input.53">
+					<dim>-1</dim>
+					<dim>512</dim>
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="443" name="__module.decoder.up_blocks.2.resnets.0.norm1/aten::group_norm/Constant_1" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="37940" size="4" />
+		<layer id="188" name="self.decoder.up_blocks.0.resnets.2.conv2.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 512, 3, 3" offset="44638404" size="4718592" />
 			<output>
-				<port id="0" precision="I32">
-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.decoder.up_blocks.0.resnets.2.conv2.weight">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="444" name="__module.decoder.up_blocks.2.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="189" name="self.decoder.up_blocks.0.resnets.2.conv2.weight" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<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 id="0" precision="FP16">
+					<dim>512</dim>
+					<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="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="445" name="__module.decoder.up_blocks.2.resnets.0.norm1/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
-			<data output_type="i32" />
+		<layer id="190" 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>
@@ -7931,23 +3277,11 @@
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
-			</input>
-			<output>
-				<port id="1" precision="I32">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="446" name="__module.decoder.up_blocks.2.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 id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
 				</port>
 			</input>
 			<output>
@@ -7959,8 +3293,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="447" name="Constant_639324_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 512, 1, 1" offset="87389896" size="1024" />
+		<layer id="191" 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="49356996" size="1024" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -7970,7 +3304,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="448" name="Constant_639324" type="Convert" version="opset1">
+		<layer id="192" 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" />
@@ -7992,7 +3326,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="449" name="__module.decoder.up_blocks.2.resnets.0.norm1/aten::group_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="193" 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="FP32">
@@ -8009,7 +3343,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="2" precision="FP32" names="287,hidden_states.23">
 					<dim>-1</dim>
 					<dim>512</dim>
 					<dim>-1</dim>
@@ -8017,40 +3351,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="450" name="Constant_639325_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 512, 1, 1" offset="87390920" 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="451" name="Constant_639325" 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="452" name="__module.decoder.up_blocks.2.resnets.0.norm1/aten::group_norm/Add" type="Add" version="opset1">
+		<layer id="194" 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">
@@ -8060,14 +3361,14 @@
 					<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="424,input.87">
+				<port id="2" precision="FP32" names="288,289,hidden_states.25">
 					<dim>-1</dim>
 					<dim>512</dim>
 					<dim>-1</dim>
@@ -8075,7 +3376,27 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="453" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_16" type="Swish" version="opset4">
+		<layer id="195" name="__module.decoder.up_blocks.0.upsamplers.0/aten::upsample_nearest2d/Multiply" type="Const" version="opset1">
+			<data element_type="f32" shape="2" offset="49358020" 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="196" name="Constant_100669" type="Const" version="opset1">
+			<data element_type="i32" shape="2" offset="49358028" size="8" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="197" 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>
@@ -8083,9 +3404,15 @@
 					<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="425">
+				<port id="3" precision="FP32" names="292">
 					<dim>-1</dim>
 					<dim>512</dim>
 					<dim>-1</dim>
@@ -8093,25 +3420,25 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="454" name="self.decoder.up_blocks.2.resnets.0.conv1.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="256, 512, 3, 3" offset="87391944" size="2359296" />
+		<layer id="198" name="self.decoder.up_blocks.0.upsamplers.0.conv.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 512, 3, 3" offset="49358036" size="4718592" />
 			<output>
-				<port id="0" precision="FP16" names="self.decoder.up_blocks.2.resnets.0.conv1.weight">
-					<dim>256</dim>
+				<port id="0" precision="FP16" names="self.decoder.up_blocks.0.upsamplers.0.conv.weight">
+					<dim>512</dim>
 					<dim>512</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="455" name="self.decoder.up_blocks.2.resnets.0.conv1.weight" type="Convert" version="opset1">
+		<layer id="199" name="self.decoder.up_blocks.0.upsamplers.0.conv.weight" 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>
@@ -8119,14 +3446,14 @@
 			</input>
 			<output>
 				<port id="1" precision="FP32">
-					<dim>256</dim>
+					<dim>512</dim>
 					<dim>512</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="456" name="__module.decoder.up_blocks.2.resnets.0.conv1/aten::_convolution/Convolution" type="Convolution" version="opset1">
+		<layer id="200" 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">
@@ -8136,7 +3463,7 @@
 					<dim>-1</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>256</dim>
+					<dim>512</dim>
 					<dim>512</dim>
 					<dim>3</dim>
 					<dim>3</dim>
@@ -8145,24 +3472,24 @@
 			<output>
 				<port id="2" precision="FP32">
 					<dim>-1</dim>
-					<dim>256</dim>
+					<dim>512</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="457" name="__module.decoder.up_blocks.2.resnets.0.conv1/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 256, 1, 1" offset="89751240" size="512" />
+		<layer id="201" name="__module.decoder.up_blocks.0.upsamplers.0.conv/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="54076628" size="1024" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
-					<dim>256</dim>
+					<dim>512</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="458" name="__module.decoder.up_blocks.2.resnets.0.conv1/aten::_convolution/Reshape" type="Convert" version="opset1">
+		<layer id="202" name="__module.decoder.up_blocks.0.upsamplers.0.conv/aten::_convolution/Reshape" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -8170,7 +3497,7 @@
 			<input>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
-					<dim>256</dim>
+					<dim>512</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
@@ -8178,146 +3505,198 @@
 			<output>
 				<port id="1" precision="FP32">
 					<dim>1</dim>
-					<dim>256</dim>
+					<dim>512</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="459" name="__module.decoder.up_blocks.2.resnets.0.conv1/aten::_convolution/Add" type="Add" version="opset1">
+		<layer id="203" 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="FP32">
 					<dim>-1</dim>
-					<dim>256</dim>
+					<dim>512</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 				<port id="1" precision="FP32">
 					<dim>1</dim>
-					<dim>256</dim>
+					<dim>512</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="432,input.89">
+				<port id="2" precision="FP32" names="299,input.55">
 					<dim>-1</dim>
-					<dim>256</dim>
+					<dim>512</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="460" name="__module.decoder.up_blocks.2.resnets.0.norm2/aten::group_norm/Constant" type="Const" version="opset1">
-			<data element_type="i32" shape="3" offset="37928" size="12" />
+		<layer id="204" name="self.decoder.up_blocks.1.resnets.0.norm1.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="512" offset="54077652" size="1024" />
+			<output>
+				<port id="0" precision="FP16" names="self.decoder.up_blocks.1.resnets.0.norm1.weight">
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="205" name="self.decoder.up_blocks.1.resnets.0.norm1.weight" 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>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="206" name="self.decoder.up_blocks.1.resnets.0.norm1.bias_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="512" offset="54078676" size="1024" />
+			<output>
+				<port id="0" precision="FP16" names="self.decoder.up_blocks.1.resnets.0.norm1.bias">
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="207" name="self.decoder.up_blocks.1.resnets.0.norm1.bias" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="precise" version="0" />
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I32">
-					<dim>3</dim>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="461" name="__module.decoder.up_blocks.2.resnets.0.norm2/aten::group_norm/Reshape" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="208" 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>256</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">
+					<dim>512</dim>
+				</port>
+				<port id="2" precision="FP32">
+					<dim>512</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="3" precision="FP32" names="315,input.57">
+					<dim>-1</dim>
+					<dim>512</dim>
 					<dim>-1</dim>
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 					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="462" name="__module.decoder.up_blocks.2.resnets.0.norm2/aten::group_norm/Constant_1" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="37940" size="4" />
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-				<port id="0" precision="I32">
-					<dim>1</dim>
-				</port>
-			</output>
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-		<layer id="463" name="__module.decoder.up_blocks.2.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="209" 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>32</dim>
+					<dim>512</dim>
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 					<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="FP32" names="316">
+					<dim>-1</dim>
+					<dim>512</dim>
 					<dim>-1</dim>
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 					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
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-			<data output_type="i32" />
+		<layer id="210" name="self.decoder.up_blocks.1.resnets.0.conv1.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 512, 3, 3" offset="54079700" size="4718592" />
+			<output>
+				<port id="0" precision="FP16" names="self.decoder.up_blocks.1.resnets.0.conv1.weight">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="211" name="self.decoder.up_blocks.1.resnets.0.conv1.weight" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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 			<input>
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-					<dim>256</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+				<port id="0" precision="FP16">
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+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
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 			</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="212" 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">
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 					<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>
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 			</input>
 			<output>
 				<port id="2" precision="FP32">
 					<dim>-1</dim>
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 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
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-			<data element_type="f16" shape="1, 256, 1, 1" offset="89751752" size="512" />
+		<layer id="213" name="__module.decoder.up_blocks.1.resnets.0.conv1/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="58798292" size="1024" />
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 		</layer>
-		<layer id="467" name="Constant_639326" type="Convert" version="opset1">
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@@ -8325,7 +3704,7 @@
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@@ -8333,158 +3712,173 @@
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 					<dim>1</dim>
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 			</output>
 		</layer>
-		<layer id="468" name="__module.decoder.up_blocks.2.resnets.0.norm2/aten::group_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="215" name="__module.decoder.up_blocks.1.resnets.0.conv1/aten::_convolution/Add" type="Add" version="opset1">
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 			</input>
 			<output>
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+				<port id="2" precision="FP32" names="323,input.59">
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-			<data element_type="f16" shape="1, 256, 1, 1" offset="89752264" size="512" />
+		<layer id="216" name="self.decoder.up_blocks.1.resnets.0.norm2.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="512" offset="58799316" size="1024" />
 			<output>
+				<port id="0" precision="FP16" names="self.decoder.up_blocks.1.resnets.0.norm2.weight">
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="217" name="self.decoder.up_blocks.1.resnets.0.norm2.weight" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
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+					<dim>512</dim>
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+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="218" name="self.decoder.up_blocks.1.resnets.0.norm2.bias_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="512" offset="58800340" size="1024" />
+			<output>
+				<port id="0" precision="FP16" names="self.decoder.up_blocks.1.resnets.0.norm2.bias">
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 				</port>
 			</output>
 		</layer>
-		<layer id="470" name="Constant_639327" type="Convert" version="opset1">
+		<layer id="219" name="self.decoder.up_blocks.1.resnets.0.norm2.bias" type="Convert" version="opset1">
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-					<dim>1</dim>
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 		</layer>
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-			<data auto_broadcast="numpy" />
+		<layer id="220" 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" />
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+					<dim>512</dim>
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+				<port id="2" precision="FP32">
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 			<output>
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 		</layer>
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 		</layer>
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-					<dim>256</dim>
+				<port id="0" precision="FP16" names="self.decoder.up_blocks.1.resnets.0.conv2.weight">
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 			</output>
 		</layer>
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 			<output>
 				<port id="1" precision="FP32">
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-					<dim>256</dim>
+					<dim>512</dim>
+					<dim>512</dim>
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 		</layer>
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 			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
 			<input>
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 					<dim>3</dim>
 					<dim>3</dim>
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@@ -8492,24 +3886,24 @@
 			<output>
 				<port id="2" precision="FP32">
 					<dim>-1</dim>
-					<dim>256</dim>
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 		</layer>
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-			<data element_type="f16" shape="1, 256, 1, 1" offset="90932424" size="512" />
+		<layer id="225" name="__module.decoder.up_blocks.1.resnets.0.conv2/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="63519956" size="1024" />
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 				<port id="0" precision="FP16">
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 			</output>
 		</layer>
-		<layer id="477" name="__module.decoder.up_blocks.2.resnets.0.conv2/aten::_convolution/Reshape" type="Convert" version="opset1">
+		<layer id="226" name="__module.decoder.up_blocks.1.resnets.0.conv2/aten::_convolution/Reshape" type="Convert" version="opset1">
 			<data destination_type="f32" />
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@@ -8517,7 +3911,7 @@
 			<input>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
-					<dim>256</dim>
+					<dim>512</dim>
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@@ -8525,171 +3919,223 @@
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 				<port id="1" precision="FP32">
 					<dim>1</dim>
-					<dim>256</dim>
+					<dim>512</dim>
 					<dim>1</dim>
 					<dim>1</dim>
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 			</output>
 		</layer>
-		<layer id="478" name="__module.decoder.up_blocks.2.resnets.0.conv2/aten::_convolution/Add" type="Add" version="opset1">
+		<layer id="227" name="__module.decoder.up_blocks.1.resnets.0.conv2/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
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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">
 					<dim>1</dim>
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 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="444,hidden_states.35">
+				<port id="2" precision="FP32" names="335,hidden_states.27">
 					<dim>-1</dim>
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 			</output>
 		</layer>
-		<layer id="479" name="__module.decoder.up_blocks.2.resnets.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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 					<dim>-1</dim>
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 				<port id="1" precision="FP32">
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 					<dim>-1</dim>
 				</port>
 			</input>
 			<output>
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 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
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-			<data element_type="i32" shape="3" offset="37928" size="12" />
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+			<data element_type="f16" shape="512" offset="63520980" size="1024" />
+			<output>
+				<port id="0" precision="FP16" names="self.decoder.up_blocks.1.resnets.1.norm1.weight">
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="230" name="self.decoder.up_blocks.1.resnets.1.norm1.weight" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="precise" version="0" />
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
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 			<output>
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+				<port id="1" precision="FP32">
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 		</layer>
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+			<data element_type="f16" shape="512" offset="63522004" size="1024" />
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+				<attribute name="decompression" version="0" />
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+				<port id="0" precision="FP16">
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+				<port id="1" precision="FP32">
+					<dim>512</dim>
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+		</layer>
+		<layer id="233" name="__module.decoder.up_blocks.1.resnets.1.norm1/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
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 					<dim>-1</dim>
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 			<output>
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 			<output>
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-			<data element_type="f16" shape="1, 256, 1, 1" offset="90932936" size="512" />
+		<layer id="238" name="__module.decoder.up_blocks.1.resnets.1.conv1/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="68241620" size="1024" />
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 		</layer>
-		<layer id="487" name="Constant_639328" type="Convert" version="opset1">
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@@ -8697,7 +4143,7 @@
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@@ -8705,158 +4151,173 @@
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 					<dim>1</dim>
-					<dim>256</dim>
+					<dim>512</dim>
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 			</output>
 		</layer>
-		<layer id="488" name="__module.decoder.up_blocks.2.resnets.1.norm1/aten::group_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="240" name="__module.decoder.up_blocks.1.resnets.1.conv1/aten::_convolution/Add" type="Add" version="opset1">
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 				<port id="1" precision="FP32">
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 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="2" precision="FP32" names="353,input.69">
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-		<layer id="489" name="Constant_639329_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 256, 1, 1" offset="90933448" size="512" />
+		<layer id="241" name="self.decoder.up_blocks.1.resnets.1.norm2.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="512" offset="68242644" size="1024" />
 			<output>
+				<port id="0" precision="FP16" names="self.decoder.up_blocks.1.resnets.1.norm2.weight">
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="242" name="self.decoder.up_blocks.1.resnets.1.norm2.weight" 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>256</dim>
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+					<dim>512</dim>
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+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="243" name="self.decoder.up_blocks.1.resnets.1.norm2.bias_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="512" offset="68243668" size="1024" />
+			<output>
+				<port id="0" precision="FP16" names="self.decoder.up_blocks.1.resnets.1.norm2.bias">
+					<dim>512</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="490" name="Constant_639329" type="Convert" version="opset1">
+		<layer id="244" name="self.decoder.up_blocks.1.resnets.1.norm2.bias" type="Convert" version="opset1">
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 		</layer>
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-			<data auto_broadcast="numpy" />
+		<layer id="245" name="__module.decoder.up_blocks.1.resnets.1.norm2/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
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+					<dim>512</dim>
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 			<output>
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 		</layer>
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+		<layer id="246" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_13" type="Swish" version="opset4">
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+		<layer id="247" name="self.decoder.up_blocks.1.resnets.1.conv2.weight_compressed" type="Const" version="opset1">
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-					<dim>256</dim>
+				<port id="0" precision="FP16" names="self.decoder.up_blocks.1.resnets.1.conv2.weight">
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+					<dim>512</dim>
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 			</output>
 		</layer>
-		<layer id="494" name="self.decoder.up_blocks.2.resnets.1.conv1.weight" type="Convert" version="opset1">
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 			<rt_info>
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 				<port id="0" precision="FP16">
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 			</input>
 			<output>
 				<port id="1" precision="FP32">
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-					<dim>256</dim>
+					<dim>512</dim>
+					<dim>512</dim>
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 			</output>
 		</layer>
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+		<layer id="249" 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>
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 				<port id="1" precision="FP32">
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 					<dim>3</dim>
 					<dim>3</dim>
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@@ -8864,24 +4325,24 @@
 			<output>
 				<port id="2" precision="FP32">
 					<dim>-1</dim>
-					<dim>256</dim>
+					<dim>512</dim>
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 			</output>
 		</layer>
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-			<data element_type="f16" shape="1, 256, 1, 1" offset="92113608" size="512" />
+		<layer id="250" name="__module.decoder.up_blocks.1.resnets.1.conv2/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="72963284" size="1024" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
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+					<dim>512</dim>
 					<dim>1</dim>
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 				</port>
 			</output>
 		</layer>
-		<layer id="497" name="__module.decoder.up_blocks.2.resnets.1.conv1/aten::_convolution/Reshape" type="Convert" version="opset1">
+		<layer id="251" name="__module.decoder.up_blocks.1.resnets.1.conv2/aten::_convolution/Reshape" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -8889,7 +4350,7 @@
 			<input>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
-					<dim>256</dim>
+					<dim>512</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
@@ -8897,146 +4358,223 @@
 			<output>
 				<port id="1" precision="FP32">
 					<dim>1</dim>
-					<dim>256</dim>
+					<dim>512</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="498" name="__module.decoder.up_blocks.2.resnets.1.conv1/aten::_convolution/Add" type="Add" version="opset1">
+		<layer id="252" name="__module.decoder.up_blocks.1.resnets.1.conv2/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
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 				<port id="0" precision="FP32">
 					<dim>-1</dim>
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 					<dim>-1</dim>
 				</port>
 				<port id="1" precision="FP32">
 					<dim>1</dim>
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+					<dim>512</dim>
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 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="469,input.99">
+				<port id="2" precision="FP32" names="365,hidden_states.29">
 					<dim>-1</dim>
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+					<dim>512</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
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 			</output>
 		</layer>
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-		<layer id="500" name="__module.decoder.up_blocks.2.resnets.1.norm2/aten::group_norm/Reshape" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="253" name="__module.decoder.up_blocks.1.resnets.1/aten::add/Add" type="Add" version="opset1">
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 			<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">
-					<dim>3</dim>
+				<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">
+				<port id="2" precision="FP32" names="366,367,input.75">
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 					<dim>-1</dim>
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 					<dim>-1</dim>
 				</port>
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 		</layer>
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-			<data element_type="i32" shape="1" offset="37940" size="4" />
+		<layer id="254" name="self.decoder.up_blocks.1.resnets.2.norm1.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="512" offset="72964308" size="1024" />
 			<output>
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-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.decoder.up_blocks.1.resnets.2.norm1.weight">
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="255" name="self.decoder.up_blocks.1.resnets.2.norm1.weight" type="Convert" version="opset1">
+			<data destination_type="f32" />
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+				<attribute name="decompression" version="0" />
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+			<input>
+				<port id="0" precision="FP16">
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+			<output>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
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+			<data element_type="f16" shape="512" offset="72965332" size="1024" />
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+				<port id="0" precision="FP16" names="self.decoder.up_blocks.1.resnets.2.norm1.bias">
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="257" name="self.decoder.up_blocks.1.resnets.2.norm1.bias" type="Convert" version="opset1">
+			<data destination_type="f32" />
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+				<attribute name="decompression" version="0" />
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+			<output>
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 		</layer>
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+		<layer id="258" name="__module.decoder.up_blocks.1.resnets.2.norm1/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
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 			</input>
 			<output>
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 			<output>
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+				<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>
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-			<data special_zero="true" />
+		<layer id="262" 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>
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+					<dim>512</dim>
+					<dim>-1</dim>
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-				<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>
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 			</input>
 			<output>
 				<port id="2" precision="FP32">
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 		</layer>
-		<layer id="505" name="Constant_639330_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 256, 1, 1" offset="92114120" size="512" />
+		<layer id="263" name="__module.decoder.up_blocks.1.resnets.2.conv1/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="77684948" size="1024" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
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+					<dim>512</dim>
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 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="506" name="Constant_639330" type="Convert" version="opset1">
+		<layer id="264" name="__module.decoder.up_blocks.1.resnets.2.conv1/aten::_convolution/Reshape" type="Convert" version="opset1">
 			<data destination_type="f32" />
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@@ -9044,7 +4582,7 @@
 			<input>
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-					<dim>256</dim>
+					<dim>512</dim>
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@@ -9052,158 +4590,173 @@
 			<output>
 				<port id="1" precision="FP32">
 					<dim>1</dim>
-					<dim>256</dim>
+					<dim>512</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="507" name="__module.decoder.up_blocks.2.resnets.1.norm2/aten::group_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="265" 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>
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+					<dim>512</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>512</dim>
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 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="2" precision="FP32" names="383,input.79">
 					<dim>-1</dim>
-					<dim>256</dim>
+					<dim>512</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="508" name="Constant_639331_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 256, 1, 1" offset="92114632" size="512" />
+		<layer id="266" name="self.decoder.up_blocks.1.resnets.2.norm2.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="512" offset="77685972" size="1024" />
 			<output>
+				<port id="0" precision="FP16" names="self.decoder.up_blocks.1.resnets.2.norm2.weight">
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="267" name="self.decoder.up_blocks.1.resnets.2.norm2.weight" 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>256</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+					<dim>512</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="268" name="self.decoder.up_blocks.1.resnets.2.norm2.bias_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="512" offset="77686996" size="1024" />
+			<output>
+				<port id="0" precision="FP16" names="self.decoder.up_blocks.1.resnets.2.norm2.bias">
+					<dim>512</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="509" name="Constant_639331" type="Convert" version="opset1">
+		<layer id="269" name="self.decoder.up_blocks.1.resnets.2.norm2.bias" 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>256</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+					<dim>512</dim>
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 			</input>
 			<output>
 				<port id="1" precision="FP32">
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-					<dim>256</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+					<dim>512</dim>
 				</port>
 			</output>
 		</layer>
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-			<data auto_broadcast="numpy" />
+		<layer id="270" 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" />
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 				<port id="1" precision="FP32">
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-					<dim>256</dim>
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+					<dim>512</dim>
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+				<port id="2" precision="FP32">
+					<dim>512</dim>
 				</port>
 			</input>
 			<output>
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+				<port id="3" precision="FP32" names="386,input.81">
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+					<dim>512</dim>
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 					<dim>-1</dim>
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 		</layer>
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+		<layer id="271" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_15" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
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 			<output>
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 					<dim>-1</dim>
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 			</output>
 		</layer>
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-			<data element_type="f16" shape="256, 256, 3, 3" offset="92115144" size="1179648" />
+		<layer id="272" name="self.decoder.up_blocks.1.resnets.2.conv2.weight_compressed" type="Const" version="opset1">
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 			<output>
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-					<dim>256</dim>
-					<dim>256</dim>
+				<port id="0" precision="FP16" names="self.decoder.up_blocks.1.resnets.2.conv2.weight">
+					<dim>512</dim>
+					<dim>512</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="513" name="self.decoder.up_blocks.2.resnets.1.conv2.weight" type="Convert" version="opset1">
+		<layer id="273" name="self.decoder.up_blocks.1.resnets.2.conv2.weight" 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>256</dim>
+					<dim>512</dim>
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 					<dim>3</dim>
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 			</input>
 			<output>
 				<port id="1" precision="FP32">
-					<dim>256</dim>
-					<dim>256</dim>
+					<dim>512</dim>
+					<dim>512</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="514" name="__module.decoder.up_blocks.2.resnets.1.conv2/aten::_convolution/Convolution" type="Convolution" version="opset1">
+		<layer id="274" 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>
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 					<dim>-1</dim>
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 				<port id="1" precision="FP32">
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-					<dim>256</dim>
+					<dim>512</dim>
+					<dim>512</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
@@ -9211,24 +4764,24 @@
 			<output>
 				<port id="2" precision="FP32">
 					<dim>-1</dim>
-					<dim>256</dim>
+					<dim>512</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
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-			<data element_type="f16" shape="1, 256, 1, 1" offset="93294792" size="512" />
+		<layer id="275" name="__module.decoder.up_blocks.1.resnets.2.conv2/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="82406612" size="1024" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
-					<dim>256</dim>
+					<dim>512</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="516" name="__module.decoder.up_blocks.2.resnets.1.conv2/aten::_convolution/Reshape" type="Convert" version="opset1">
+		<layer id="276" name="__module.decoder.up_blocks.1.resnets.2.conv2/aten::_convolution/Reshape" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -9236,7 +4789,7 @@
 			<input>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
-					<dim>256</dim>
+					<dim>512</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
@@ -9244,148 +4797,269 @@
 			<output>
 				<port id="1" precision="FP32">
 					<dim>1</dim>
-					<dim>256</dim>
+					<dim>512</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="517" name="__module.decoder.up_blocks.2.resnets.1.conv2/aten::_convolution/Add" type="Add" version="opset1">
+		<layer id="277" 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="FP32">
 					<dim>-1</dim>
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+					<dim>512</dim>
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 					<dim>-1</dim>
 				</port>
 				<port id="1" precision="FP32">
 					<dim>1</dim>
-					<dim>256</dim>
+					<dim>512</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="481,hidden_states.37">
+				<port id="2" precision="FP32" names="395,hidden_states.31">
 					<dim>-1</dim>
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 					<dim>-1</dim>
 					<dim>-1</dim>
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 			</output>
 		</layer>
-		<layer id="518" name="__module.decoder.up_blocks.2.resnets.1/aten::add/Add" type="Add" version="opset1">
+		<layer id="278" 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">
 					<dim>-1</dim>
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 					<dim>-1</dim>
 				</port>
 				<port id="1" precision="FP32">
 					<dim>-1</dim>
-					<dim>256</dim>
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 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="482,483,input.105">
+				<port id="2" precision="FP32" names="396,397,hidden_states.33">
 					<dim>-1</dim>
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 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
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-			<data element_type="i32" shape="3" offset="37928" size="12" />
+		<layer id="279" name="__module.decoder.up_blocks.1.upsamplers.0/aten::upsample_nearest2d/Multiply" type="Const" version="opset1">
+			<data element_type="f32" shape="2" offset="49358020" 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="280" name="Constant_101106" type="Const" version="opset1">
+			<data element_type="i32" shape="2" offset="49358028" size="8" />
 			<output>
 				<port id="0" precision="I32">
+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="281" 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" />
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+				<port id="2" precision="I32">
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+					<dim>-1</dim>
+					<dim>-1</dim>
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+		<layer id="282" name="self.decoder.up_blocks.1.upsamplers.0.conv.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 512, 3, 3" offset="82407636" size="4718592" />
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+				<port id="0" precision="FP16" names="self.decoder.up_blocks.1.upsamplers.0.conv.weight">
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+					<dim>512</dim>
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 					<dim>3</dim>
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 			</output>
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+			<data destination_type="f32" />
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+				<attribute name="decompression" version="0" />
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+					<dim>512</dim>
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+					<dim>3</dim>
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+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
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+			</output>
+		</layer>
+		<layer id="284" name="__module.decoder.up_blocks.1.upsamplers.0.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
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 			<input>
 				<port id="0" precision="FP32">
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 					<dim>-1</dim>
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 			<output>
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+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="286" name="__module.decoder.up_blocks.1.upsamplers.0.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>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="522" name="__module.decoder.up_blocks.2.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="287" name="__module.decoder.up_blocks.1.upsamplers.0.conv/aten::_convolution/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
-				<port id="1" precision="I32">
+				<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">
+				<port id="2" precision="FP32" names="407,input.85">
+					<dim>-1</dim>
+					<dim>512</dim>
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="523" name="__module.decoder.up_blocks.2.resnets.2.norm1/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
-			<data output_type="i32" />
+		<layer id="288" name="self.decoder.up_blocks.2.resnets.0.conv_shortcut.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="256, 512, 1, 1" offset="87127252" size="262144" />
+			<output>
+				<port id="0" precision="FP16" names="self.decoder.up_blocks.2.resnets.0.conv_shortcut.weight">
+					<dim>256</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="289" name="self.decoder.up_blocks.2.resnets.0.conv_shortcut.weight" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
+				<port id="0" precision="FP16">
 					<dim>256</dim>
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-					<dim>-1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I32">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>256</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="524" name="__module.decoder.up_blocks.2.resnets.2.norm1/aten::group_norm/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="290" 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>32</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>256</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
@@ -9397,8 +5071,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="525" name="Constant_639332_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 256, 1, 1" offset="93295304" size="512" />
+		<layer id="291" name="__module.decoder.up_blocks.2.resnets.0.conv_shortcut/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 256, 1, 1" offset="87389396" size="512" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -9408,7 +5082,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="526" name="Constant_639332" type="Convert" version="opset1">
+		<layer id="292" name="__module.decoder.up_blocks.2.resnets.0.conv_shortcut/aten::_convolution/Reshape" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -9430,7 +5104,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="527" name="__module.decoder.up_blocks.2.resnets.2.norm1/aten::group_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="293" 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="FP32">
@@ -9447,7 +5121,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="2" precision="FP32" names="451,input_tensor.1">
 					<dim>-1</dim>
 					<dim>256</dim>
 					<dim>-1</dim>
@@ -9455,94 +5129,109 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="528" name="Constant_639333_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 256, 1, 1" offset="93295816" size="512" />
+		<layer id="294" name="self.decoder.up_blocks.2.resnets.0.norm1.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="512" offset="87389908" size="1024" />
 			<output>
+				<port id="0" precision="FP16" names="self.decoder.up_blocks.2.resnets.0.norm1.weight">
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="295" name="self.decoder.up_blocks.2.resnets.0.norm1.weight" 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>256</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+					<dim>512</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="296" name="self.decoder.up_blocks.2.resnets.0.norm1.bias_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="512" offset="87390932" size="1024" />
+			<output>
+				<port id="0" precision="FP16" names="self.decoder.up_blocks.2.resnets.0.norm1.bias">
+					<dim>512</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="529" name="Constant_639333" type="Convert" version="opset1">
+		<layer id="297" name="self.decoder.up_blocks.2.resnets.0.norm1.bias" 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>256</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+					<dim>512</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>256</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+					<dim>512</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="530" name="__module.decoder.up_blocks.2.resnets.2.norm1/aten::group_norm/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="298" 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>256</dim>
+					<dim>512</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>
+					<dim>512</dim>
+				</port>
+				<port id="2" precision="FP32">
+					<dim>512</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="491,input.107">
+				<port id="3" precision="FP32" names="424,input.87">
 					<dim>-1</dim>
-					<dim>256</dim>
+					<dim>512</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="531" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_20" type="Swish" version="opset4">
+		<layer id="299" 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>256</dim>
+					<dim>512</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="492">
+				<port id="1" precision="FP32" names="425">
 					<dim>-1</dim>
-					<dim>256</dim>
+					<dim>512</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="532" name="self.decoder.up_blocks.2.resnets.2.conv1.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="256, 256, 3, 3" offset="93296328" size="1179648" />
+		<layer id="300" name="self.decoder.up_blocks.2.resnets.0.conv1.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="256, 512, 3, 3" offset="87391956" size="2359296" />
 			<output>
-				<port id="0" precision="FP16" names="self.decoder.up_blocks.2.resnets.2.conv1.weight">
-					<dim>256</dim>
+				<port id="0" precision="FP16" names="self.decoder.up_blocks.2.resnets.0.conv1.weight">
 					<dim>256</dim>
+					<dim>512</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="533" name="self.decoder.up_blocks.2.resnets.2.conv1.weight" type="Convert" version="opset1">
+		<layer id="301" name="self.decoder.up_blocks.2.resnets.0.conv1.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -9550,7 +5239,7 @@
 			<input>
 				<port id="0" precision="FP16">
 					<dim>256</dim>
-					<dim>256</dim>
+					<dim>512</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
@@ -9558,24 +5247,24 @@
 			<output>
 				<port id="1" precision="FP32">
 					<dim>256</dim>
-					<dim>256</dim>
+					<dim>512</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="534" name="__module.decoder.up_blocks.2.resnets.2.conv1/aten::_convolution/Convolution" type="Convolution" version="opset1">
+		<layer id="302" 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>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>256</dim>
+					<dim>512</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 				<port id="1" precision="FP32">
 					<dim>256</dim>
-					<dim>256</dim>
+					<dim>512</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
@@ -9589,8 +5278,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="535" name="__module.decoder.up_blocks.2.resnets.2.conv1/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 256, 1, 1" offset="94475976" size="512" />
+		<layer id="303" name="__module.decoder.up_blocks.2.resnets.0.conv1/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 256, 1, 1" offset="89751252" size="512" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -9600,7 +5289,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="536" name="__module.decoder.up_blocks.2.resnets.2.conv1/aten::_convolution/Reshape" type="Convert" version="opset1">
+		<layer id="304" name="__module.decoder.up_blocks.2.resnets.0.conv1/aten::_convolution/Reshape" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -9622,7 +5311,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="537" name="__module.decoder.up_blocks.2.resnets.2.conv1/aten::_convolution/Add" type="Add" version="opset1">
+		<layer id="305" name="__module.decoder.up_blocks.2.resnets.0.conv1/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -9639,7 +5328,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="499,input.109">
+				<port id="2" precision="FP32" names="432,input.89">
 					<dim>-1</dim>
 					<dim>256</dim>
 					<dim>-1</dim>
@@ -9647,68 +5336,56 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="538" name="__module.decoder.up_blocks.2.resnets.2.norm2/aten::group_norm/Constant" type="Const" version="opset1">
-			<data element_type="i32" shape="3" offset="37928" size="12" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="306" name="self.decoder.up_blocks.2.resnets.0.norm2.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="256" offset="89751764" size="512" />
 			<output>
-				<port id="0" precision="I32">
-					<dim>3</dim>
+				<port id="0" precision="FP16" names="self.decoder.up_blocks.2.resnets.0.norm2.weight">
+					<dim>256</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="539" name="__module.decoder.up_blocks.2.resnets.2.norm2/aten::group_norm/Reshape" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="307" name="self.decoder.up_blocks.2.resnets.0.norm2.weight" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
+				<port id="0" precision="FP16">
 					<dim>256</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 id="1" precision="FP32">
+					<dim>256</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="540" name="__module.decoder.up_blocks.2.resnets.2.norm2/aten::group_norm/Constant_1" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="37940" size="4" />
+		<layer id="308" name="self.decoder.up_blocks.2.resnets.0.norm2.bias_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="256" offset="89752276" size="512" />
 			<output>
-				<port id="0" precision="I32">
-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.decoder.up_blocks.2.resnets.0.norm2.bias">
+					<dim>256</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="541" name="__module.decoder.up_blocks.2.resnets.2.norm2/aten::group_norm/MVN" type="MVN" version="opset6">
-			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+		<layer id="309" name="self.decoder.up_blocks.2.resnets.0.norm2.bias" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<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 id="0" precision="FP16">
+					<dim>256</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
+				<port id="1" precision="FP32">
+					<dim>256</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="542" name="__module.decoder.up_blocks.2.resnets.2.norm2/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
-			<data output_type="i32" />
+		<layer id="310" name="__module.decoder.up_blocks.2.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>
@@ -9716,27 +5393,33 @@
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
+				<port id="1" precision="FP32">
+					<dim>256</dim>
+				</port>
+				<port id="2" precision="FP32">
+					<dim>256</dim>
+				</port>
 			</input>
 			<output>
-				<port id="1" precision="I32">
-					<dim>4</dim>
+				<port id="3" precision="FP32" names="435,input.91">
+					<dim>-1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="543" name="__module.decoder.up_blocks.2.resnets.2.norm2/aten::group_norm/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="311" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_17" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
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+					<dim>256</dim>
+					<dim>-1</dim>
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-				<port id="1" precision="I32">
-					<dim>4</dim>
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 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="1" precision="FP32" names="436,input.93">
 					<dim>-1</dim>
 					<dim>256</dim>
 					<dim>-1</dim>
@@ -9744,41 +5427,41 @@
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 			</output>
 		</layer>
-		<layer id="544" name="Constant_639334_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 256, 1, 1" offset="94476488" size="512" />
+		<layer id="312" name="self.decoder.up_blocks.2.resnets.0.conv2.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="256, 256, 3, 3" offset="89752788" size="1179648" />
 			<output>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.decoder.up_blocks.2.resnets.0.conv2.weight">
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-					<dim>1</dim>
-					<dim>1</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="545" name="Constant_639334" type="Convert" version="opset1">
+		<layer id="313" name="self.decoder.up_blocks.2.resnets.0.conv2.weight" 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>256</dim>
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-					<dim>1</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
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 			<output>
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 					<dim>256</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
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 			</output>
 		</layer>
-		<layer id="546" name="__module.decoder.up_blocks.2.resnets.2.norm2/aten::group_norm/Multiply" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="314" 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">
 					<dim>-1</dim>
@@ -9787,10 +5470,10 @@
 					<dim>-1</dim>
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 					<dim>256</dim>
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-					<dim>1</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
 				</port>
 			</input>
 			<output>
@@ -9802,8 +5485,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="547" name="Constant_639335_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 256, 1, 1" offset="94477000" size="512" />
+		<layer id="315" name="__module.decoder.up_blocks.2.resnets.0.conv2/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 256, 1, 1" offset="90932436" size="512" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -9813,7 +5496,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="548" name="Constant_639335" type="Convert" version="opset1">
+		<layer id="316" name="__module.decoder.up_blocks.2.resnets.0.conv2/aten::_convolution/Reshape" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -9835,7 +5518,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="549" name="__module.decoder.up_blocks.2.resnets.2.norm2/aten::group_norm/Add" type="Add" version="opset1">
+		<layer id="317" 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">
@@ -9852,7 +5535,7 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="502,input.111">
+				<port id="2" precision="FP32" names="444,hidden_states.35">
 					<dim>-1</dim>
 					<dim>256</dim>
 					<dim>-1</dim>
@@ -9860,7 +5543,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="550" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_21" type="Swish" version="opset4">
+		<layer id="318" 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">
 					<dim>-1</dim>
@@ -9868,67 +5552,15 @@
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 					<dim>-1</dim>
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-					<dim>-1</dim>
-					<dim>-1</dim>
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-		</layer>
-		<layer id="551" name="self.decoder.up_blocks.2.resnets.2.conv2.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="256, 256, 3, 3" offset="94477512" size="1179648" />
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-				<port id="0" precision="FP16" names="self.decoder.up_blocks.2.resnets.2.conv2.weight">
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-					<dim>256</dim>
-					<dim>3</dim>
-					<dim>3</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="552" name="self.decoder.up_blocks.2.resnets.2.conv2.weight" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
-			<input>
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-					<dim>256</dim>
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-			<output>
 				<port id="1" precision="FP32">
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-					<dim>256</dim>
-					<dim>3</dim>
-					<dim>3</dim>
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-			</output>
-		</layer>
-		<layer id="553" 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" />
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-				<port id="0" precision="FP32">
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 					<dim>256</dim>
 					<dim>-1</dim>
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-				<port id="1" precision="FP32">
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-					<dim>256</dim>
-					<dim>3</dim>
-					<dim>3</dim>
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 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="2" precision="FP32" names="452,453,input.95">
 					<dim>-1</dim>
 					<dim>256</dim>
 					<dim>-1</dim>
@@ -9936,66 +5568,56 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="554" name="__module.decoder.up_blocks.2.resnets.2.conv2/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 256, 1, 1" offset="95657160" size="512" />
+		<layer id="319" name="self.decoder.up_blocks.2.resnets.1.norm1.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="256" offset="90932948" size="512" />
 			<output>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.decoder.up_blocks.2.resnets.1.norm1.weight">
 					<dim>256</dim>
-					<dim>1</dim>
-					<dim>1</dim>
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 			</output>
 		</layer>
-		<layer id="555" name="__module.decoder.up_blocks.2.resnets.2.conv2/aten::_convolution/Reshape" type="Convert" version="opset1">
+		<layer id="320" name="self.decoder.up_blocks.2.resnets.1.norm1.weight" 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>256</dim>
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 			<output>
 				<port id="1" precision="FP32">
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 					<dim>256</dim>
-					<dim>1</dim>
-					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="556" name="__module.decoder.up_blocks.2.resnets.2.conv2/aten::_convolution/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
+		<layer id="321" name="self.decoder.up_blocks.2.resnets.1.norm1.bias_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="256" offset="90933460" size="512" />
+			<output>
+				<port id="0" precision="FP16" names="self.decoder.up_blocks.2.resnets.1.norm1.bias">
 					<dim>256</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
 				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
+			</output>
+		</layer>
+		<layer id="322" name="self.decoder.up_blocks.2.resnets.1.norm1.bias" 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>1</dim>
-					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="511,hidden_states.39">
-					<dim>-1</dim>
+				<port id="1" precision="FP32">
 					<dim>256</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="557" name="__module.decoder.up_blocks.2.resnets.2/aten::add/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="323" 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">
 					<dim>-1</dim>
@@ -10004,14 +5626,14 @@
 					<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="512,513,hidden_states.41">
+				<port id="3" precision="FP32" names="461,input.97">
 					<dim>-1</dim>
 					<dim>256</dim>
 					<dim>-1</dim>
@@ -10019,27 +5641,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="558" name="__module.decoder.up_blocks.2.upsamplers.0/aten::upsample_nearest2d/Multiply" type="Const" version="opset1">
-			<data element_type="f32" shape="2" offset="49358008" size="8" />
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-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="FP32">
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-		</layer>
-		<layer id="559" name="Constant_629630" type="Const" version="opset1">
-			<data element_type="i32" shape="2" offset="49358016" size="8" />
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-				<port id="0" precision="I32">
-					<dim>2</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="560" 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" />
+		<layer id="324" 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>
@@ -10047,15 +5649,9 @@
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
-				<port id="1" precision="FP32">
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-				</port>
-				<port id="2" precision="I32">
-					<dim>2</dim>
-				</port>
 			</input>
 			<output>
-				<port id="3" precision="FP32" names="516">
+				<port id="1" precision="FP32" names="462">
 					<dim>-1</dim>
 					<dim>256</dim>
 					<dim>-1</dim>
@@ -10063,10 +5659,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="561" name="self.decoder.up_blocks.2.upsamplers.0.conv.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="256, 256, 3, 3" offset="95657672" size="1179648" />
+		<layer id="325" name="self.decoder.up_blocks.2.resnets.1.conv1.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="256, 256, 3, 3" offset="90933972" size="1179648" />
 			<output>
-				<port id="0" precision="FP16" names="self.decoder.up_blocks.2.upsamplers.0.conv.weight">
+				<port id="0" precision="FP16" names="self.decoder.up_blocks.2.resnets.1.conv1.weight">
 					<dim>256</dim>
 					<dim>256</dim>
 					<dim>3</dim>
@@ -10074,7 +5670,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="562" name="self.decoder.up_blocks.2.upsamplers.0.conv.weight" type="Convert" version="opset1">
+		<layer id="326" name="self.decoder.up_blocks.2.resnets.1.conv1.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -10096,7 +5692,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="563" name="__module.decoder.up_blocks.2.upsamplers.0.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
+		<layer id="327" 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">
@@ -10121,8 +5717,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="564" 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="96837320" size="512" />
+		<layer id="328" name="__module.decoder.up_blocks.2.resnets.1.conv1/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 256, 1, 1" offset="92113620" size="512" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -10132,7 +5728,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="565" name="__module.decoder.up_blocks.2.upsamplers.0.conv/aten::_convolution/Reshape" type="Convert" version="opset1">
+		<layer id="329" name="__module.decoder.up_blocks.2.resnets.1.conv1/aten::_convolution/Reshape" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -10154,7 +5750,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="566" name="__module.decoder.up_blocks.2.upsamplers.0.conv/aten::_convolution/Add" type="Add" version="opset1">
+		<layer id="330" 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="FP32">
@@ -10171,7 +5767,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="523,input.115">
+				<port id="2" precision="FP32" names="469,input.99">
 					<dim>-1</dim>
 					<dim>256</dim>
 					<dim>-1</dim>
@@ -10179,212 +5775,90 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="567" name="self.decoder.up_blocks.3.resnets.0.conv_shortcut.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="128, 256, 1, 1" offset="96837832" size="65536" />
+		<layer id="331" name="self.decoder.up_blocks.2.resnets.1.norm2.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="256" offset="92114132" size="512" />
 			<output>
-				<port id="0" precision="FP16" names="self.decoder.up_blocks.3.resnets.0.conv_shortcut.weight">
-					<dim>128</dim>
+				<port id="0" precision="FP16" names="self.decoder.up_blocks.2.resnets.1.norm2.weight">
 					<dim>256</dim>
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-					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="568" name="self.decoder.up_blocks.3.resnets.0.conv_shortcut.weight" type="Convert" version="opset1">
+		<layer id="332" name="self.decoder.up_blocks.2.resnets.1.norm2.weight" 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>256</dim>
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 			</input>
 			<output>
 				<port id="1" precision="FP32">
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-					<dim>256</dim>
-					<dim>1</dim>
-					<dim>1</dim>
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-			</output>
-		</layer>
-		<layer id="569" name="__module.decoder.up_blocks.3.resnets.0.conv_shortcut/aten::_convolution/Convolution" type="Convolution" version="opset1">
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-			<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>
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-					<dim>1</dim>
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-					<dim>128</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
 				</port>
 			</output>
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-			<data special_zero="true" />
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@@ -10392,41 +5866,41 @@
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 		</layer>
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+					<dim>3</dim>
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 		</layer>
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-			<data auto_broadcast="numpy" />
+		<layer id="339" name="__module.decoder.up_blocks.2.resnets.1.conv2/aten::_convolution/Convolution" type="Convolution" version="opset1">
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@@ -10435,10 +5909,10 @@
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@@ -10450,8 +5924,8 @@
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 		</layer>
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+		<layer id="340" name="__module.decoder.up_blocks.2.resnets.1.conv2/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
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@@ -10461,7 +5935,7 @@
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 			</output>
 		</layer>
-		<layer id="583" name="Constant_639337" type="Convert" version="opset1">
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@@ -10483,7 +5957,7 @@
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 		</layer>
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+		<layer id="342" name="__module.decoder.up_blocks.2.resnets.1.conv2/aten::_convolution/Add" type="Add" version="opset1">
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@@ -10500,7 +5974,7 @@
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+				<port id="2" precision="FP32" names="481,hidden_states.37">
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@@ -10508,7 +5982,8 @@
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 		</layer>
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@@ -10516,9 +5991,15 @@
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 					<dim>-1</dim>
 				</port>
+				<port id="1" precision="FP32">
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+					<dim>256</dim>
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+				<port id="2" precision="FP32" names="482,483,input.105">
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 					<dim>256</dim>
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@@ -10526,231 +6007,167 @@
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 		</layer>
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 			<output>
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 		</layer>
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 		</layer>
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-			<data output_type="i32" />
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-			<data element_type="f16" shape="1, 128, 1, 1" offset="97494728" size="256" />
+		<layer id="353" name="__module.decoder.up_blocks.2.resnets.2.conv1/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
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@@ -10758,7 +6175,7 @@
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@@ -10766,158 +6183,173 @@
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 		</layer>
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-			<data element_type="f16" shape="1, 128, 1, 1" offset="97494984" size="256" />
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 			<output>
+				<port id="0" precision="FP16" names="self.decoder.up_blocks.2.resnets.2.norm2.weight">
+					<dim>256</dim>
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+		<layer id="357" name="self.decoder.up_blocks.2.resnets.2.norm2.weight" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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+			<output>
+				<port id="1" precision="FP32">
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+		</layer>
+		<layer id="358" name="self.decoder.up_blocks.2.resnets.2.norm2.bias_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="256" offset="94477012" size="512" />
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 			</output>
 		</layer>
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-			<data auto_broadcast="numpy" />
+		<layer id="360" name="__module.decoder.up_blocks.2.resnets.2.norm2/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
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 			</output>
 		</layer>
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 		</layer>
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 			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
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@@ -10925,24 +6357,24 @@
 			<output>
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 					<dim>-1</dim>
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+		<layer id="365" name="__module.decoder.up_blocks.2.resnets.2.conv2/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
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 				<port id="0" precision="FP16">
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 		</layer>
-		<layer id="609" name="__module.decoder.up_blocks.3.resnets.0.conv2/aten::_convolution/Reshape" type="Convert" version="opset1">
+		<layer id="366" name="__module.decoder.up_blocks.2.resnets.2.conv2/aten::_convolution/Reshape" type="Convert" version="opset1">
 			<data destination_type="f32" />
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@@ -10950,7 +6382,7 @@
 			<input>
 				<port id="0" precision="FP16">
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+					<dim>256</dim>
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@@ -10958,229 +6390,176 @@
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 					<dim>1</dim>
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 			</output>
 		</layer>
-		<layer id="610" name="__module.decoder.up_blocks.3.resnets.0.conv2/aten::_convolution/Add" type="Add" version="opset1">
+		<layer id="367" name="__module.decoder.up_blocks.2.resnets.2.conv2/aten::_convolution/Add" type="Add" version="opset1">
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 				<port id="0" precision="FP32">
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 				<port id="1" precision="FP32">
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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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 			<output>
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 		</layer>
-		<layer id="618" name="Constant_639340_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 128, 1, 1" offset="97790408" size="256" />
+		<layer id="372" name="self.decoder.up_blocks.2.upsamplers.0.conv.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="256, 256, 3, 3" offset="95657684" size="1179648" />
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-					<dim>128</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.decoder.up_blocks.2.upsamplers.0.conv.weight">
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="619" name="Constant_639340" type="Convert" version="opset1">
+		<layer id="373" name="self.decoder.up_blocks.2.upsamplers.0.conv.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
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+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
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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="374" 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>
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+					<dim>256</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>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
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 			</input>
 			<output>
 				<port id="2" precision="FP32">
 					<dim>-1</dim>
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+					<dim>256</dim>
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 					<dim>-1</dim>
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 		</layer>
-		<layer id="621" name="Constant_639341_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 128, 1, 1" offset="97790664" size="256" />
+		<layer id="375" 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="96837332" size="512" />
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 				<port id="0" precision="FP16">
 					<dim>1</dim>
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+					<dim>256</dim>
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 			</output>
 		</layer>
-		<layer id="622" name="Constant_639341" type="Convert" version="opset1">
+		<layer id="376" name="__module.decoder.up_blocks.2.upsamplers.0.conv/aten::_convolution/Reshape" type="Convert" version="opset1">
 			<data destination_type="f32" />
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@@ -11188,7 +6567,7 @@
 			<input>
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-					<dim>128</dim>
+					<dim>256</dim>
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@@ -11196,67 +6575,49 @@
 			<output>
 				<port id="1" precision="FP32">
 					<dim>1</dim>
-					<dim>128</dim>
+					<dim>256</dim>
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 			</output>
 		</layer>
-		<layer id="623" name="__module.decoder.up_blocks.3.resnets.1.norm1/aten::group_norm/Add" type="Add" version="opset1">
+		<layer id="377" 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">
 					<dim>-1</dim>
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+					<dim>256</dim>
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 				</port>
 				<port id="1" precision="FP32">
 					<dim>1</dim>
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+					<dim>256</dim>
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 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="575,input.127">
-					<dim>-1</dim>
-					<dim>128</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
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-			</output>
-		</layer>
-		<layer id="624" 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>
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-					<dim>-1</dim>
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-			</input>
-			<output>
-				<port id="1" precision="FP32" names="576">
+				<port id="2" precision="FP32" names="523,input.115">
 					<dim>-1</dim>
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+					<dim>256</dim>
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 				</port>
 			</output>
 		</layer>
-		<layer id="625" name="self.decoder.up_blocks.3.resnets.1.conv1.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="128, 128, 3, 3" offset="97790920" size="294912" />
+		<layer id="378" name="self.decoder.up_blocks.3.resnets.0.conv_shortcut.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="128, 256, 1, 1" offset="96837844" size="65536" />
 			<output>
-				<port id="0" precision="FP16" names="self.decoder.up_blocks.3.resnets.1.conv1.weight">
-					<dim>128</dim>
+				<port id="0" precision="FP16" names="self.decoder.up_blocks.3.resnets.0.conv_shortcut.weight">
 					<dim>128</dim>
-					<dim>3</dim>
-					<dim>3</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="626" name="self.decoder.up_blocks.3.resnets.1.conv1.weight" type="Convert" version="opset1">
+		<layer id="379" name="self.decoder.up_blocks.3.resnets.0.conv_shortcut.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
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@@ -11264,34 +6625,34 @@
 			<input>
 				<port id="0" precision="FP16">
 					<dim>128</dim>
-					<dim>128</dim>
-					<dim>3</dim>
-					<dim>3</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP32">
 					<dim>128</dim>
-					<dim>128</dim>
-					<dim>3</dim>
-					<dim>3</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="627" 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" />
+		<layer id="380" 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>256</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>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
@@ -11303,8 +6664,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="628" 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="98085832" size="256" />
+		<layer id="381" 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="96903380" size="256" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -11314,7 +6675,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="629" name="__module.decoder.up_blocks.3.resnets.1.conv1/aten::_convolution/Reshape" type="Convert" version="opset1">
+		<layer id="382" 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" />
@@ -11336,7 +6697,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="630" name="__module.decoder.up_blocks.3.resnets.1.conv1/aten::_convolution/Add" type="Add" version="opset1">
+		<layer id="383" 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="FP32">
@@ -11353,7 +6714,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="583,input.129">
+				<port id="2" precision="FP32" names="565,input_tensor">
 					<dim>-1</dim>
 					<dim>128</dim>
 					<dim>-1</dim>
@@ -11361,92 +6722,144 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="631" name="__module.decoder.up_blocks.3.resnets.1.norm2/aten::group_norm/Constant" type="Const" version="opset1">
-			<data element_type="i32" shape="3" offset="37928" size="12" />
+		<layer id="384" name="self.decoder.up_blocks.3.resnets.0.norm1.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="256" offset="96903636" size="512" />
+			<output>
+				<port id="0" precision="FP16" names="self.decoder.up_blocks.3.resnets.0.norm1.weight">
+					<dim>256</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="385" name="self.decoder.up_blocks.3.resnets.0.norm1.weight" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="precise" version="0" />
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>256</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I32">
-					<dim>3</dim>
+				<port id="1" precision="FP32">
+					<dim>256</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="632" name="__module.decoder.up_blocks.3.resnets.1.norm2/aten::group_norm/Reshape" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="386" name="self.decoder.up_blocks.3.resnets.0.norm1.bias_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="256" offset="96904148" size="512" />
+			<output>
+				<port id="0" precision="FP16" names="self.decoder.up_blocks.3.resnets.0.norm1.bias">
+					<dim>256</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="387" name="self.decoder.up_blocks.3.resnets.0.norm1.bias" 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>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>256</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="388" 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>256</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
-				<port id="1" precision="I32">
-					<dim>3</dim>
+				<port id="1" precision="FP32">
+					<dim>256</dim>
+				</port>
+				<port id="2" precision="FP32">
+					<dim>256</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="3" precision="FP32" names="538,input.117">
+					<dim>-1</dim>
+					<dim>256</dim>
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="633" 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="37940" size="4" />
-			<output>
-				<port id="0" precision="I32">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="634" 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" />
+		<layer id="389" 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>32</dim>
+					<dim>256</dim>
+					<dim>-1</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="FP32" names="539">
+					<dim>-1</dim>
+					<dim>256</dim>
 					<dim>-1</dim>
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 					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
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-			<data output_type="i32" />
+		<layer id="390" name="self.decoder.up_blocks.3.resnets.0.conv1.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="128, 256, 3, 3" offset="96904660" size="589824" />
+			<output>
+				<port id="0" precision="FP16" names="self.decoder.up_blocks.3.resnets.0.conv1.weight">
+					<dim>128</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="391" name="self.decoder.up_blocks.3.resnets.0.conv1.weight" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
+				<port id="0" precision="FP16">
 					<dim>128</dim>
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-					<dim>-1</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I32">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>128</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="636" name="__module.decoder.up_blocks.3.resnets.1.norm2/aten::group_norm/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="392" 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>32</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
-				<port id="1" precision="I32">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>128</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
 				</port>
 			</input>
 			<output>
@@ -11458,8 +6871,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="637" name="Constant_639342_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 128, 1, 1" offset="98086088" size="256" />
+		<layer id="393" 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="97494484" size="256" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -11469,7 +6882,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="638" name="Constant_639342" type="Convert" version="opset1">
+		<layer id="394" 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" />
@@ -11491,7 +6904,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="639" name="__module.decoder.up_blocks.3.resnets.1.norm2/aten::group_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="395" name="__module.decoder.up_blocks.3.resnets.0.conv1/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
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 				<port id="0" precision="FP32">
@@ -11508,7 +6921,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="2" precision="FP32" names="546,input.119">
 					<dim>-1</dim>
 					<dim>128</dim>
 					<dim>-1</dim>
@@ -11516,41 +6929,56 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="640" name="Constant_639343_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 128, 1, 1" offset="98086344" size="256" />
+		<layer id="396" name="self.decoder.up_blocks.3.resnets.0.norm2.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="128" offset="97494740" size="256" />
 			<output>
+				<port id="0" precision="FP16" names="self.decoder.up_blocks.3.resnets.0.norm2.weight">
+					<dim>128</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="397" name="self.decoder.up_blocks.3.resnets.0.norm2.weight" 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>128</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="398" name="self.decoder.up_blocks.3.resnets.0.norm2.bias_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="128" offset="97494996" size="256" />
+			<output>
+				<port id="0" precision="FP16" names="self.decoder.up_blocks.3.resnets.0.norm2.bias">
+					<dim>128</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="641" name="Constant_639343" type="Convert" version="opset1">
+		<layer id="399" name="self.decoder.up_blocks.3.resnets.0.norm2.bias" 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="642" name="__module.decoder.up_blocks.3.resnets.1.norm2/aten::group_norm/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="400" 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>
@@ -11559,14 +6987,14 @@
 					<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">
+				<port id="3" precision="FP32" names="549,input.121">
 					<dim>-1</dim>
 					<dim>128</dim>
 					<dim>-1</dim>
@@ -11574,7 +7002,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="643" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_25" type="Swish" version="opset4">
+		<layer id="401" 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>
@@ -11584,7 +7012,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="587,input.133">
+				<port id="1" precision="FP32" names="550,input.123">
 					<dim>-1</dim>
 					<dim>128</dim>
 					<dim>-1</dim>
@@ -11592,10 +7020,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="644" name="self.decoder.up_blocks.3.resnets.1.conv2.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="128, 128, 3, 3" offset="98086600" size="294912" />
+		<layer id="402" name="self.decoder.up_blocks.3.resnets.0.conv2.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="128, 128, 3, 3" offset="97495252" size="294912" />
 			<output>
-				<port id="0" precision="FP16" names="self.decoder.up_blocks.3.resnets.1.conv2.weight">
+				<port id="0" precision="FP16" names="self.decoder.up_blocks.3.resnets.0.conv2.weight">
 					<dim>128</dim>
 					<dim>128</dim>
 					<dim>3</dim>
@@ -11603,7 +7031,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="645" name="self.decoder.up_blocks.3.resnets.1.conv2.weight" type="Convert" version="opset1">
+		<layer id="403" name="self.decoder.up_blocks.3.resnets.0.conv2.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -11625,7 +7053,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="646" name="__module.decoder.up_blocks.3.resnets.1.conv2/aten::_convolution/Convolution" type="Convolution" version="opset1">
+		<layer id="404" 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">
@@ -11650,8 +7078,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="647" 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="98381512" size="256" />
+		<layer id="405" name="__module.decoder.up_blocks.3.resnets.0.conv2/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 128, 1, 1" offset="97790164" size="256" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -11661,7 +7089,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="648" name="__module.decoder.up_blocks.3.resnets.1.conv2/aten::_convolution/Reshape" type="Convert" version="opset1">
+		<layer id="406" name="__module.decoder.up_blocks.3.resnets.0.conv2/aten::_convolution/Reshape" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -11683,7 +7111,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="649" name="__module.decoder.up_blocks.3.resnets.1.conv2/aten::_convolution/Add" type="Add" version="opset1">
+		<layer id="407" 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="FP32">
@@ -11700,7 +7128,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="595,hidden_states.45">
+				<port id="2" precision="FP32" names="558,hidden_states.43">
 					<dim>-1</dim>
 					<dim>128</dim>
 					<dim>-1</dim>
@@ -11708,7 +7136,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="650" name="__module.decoder.up_blocks.3.resnets.1/aten::add/Add" type="Add" version="opset1">
+		<layer id="408" 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">
@@ -11725,7 +7153,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="596,597,input.135">
+				<port id="2" precision="FP32" names="566,567,input.125">
 					<dim>-1</dim>
 					<dim>128</dim>
 					<dim>-1</dim>
@@ -11733,68 +7161,56 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="651" name="__module.decoder.up_blocks.3.resnets.2.norm1/aten::group_norm/Constant" type="Const" version="opset1">
-			<data element_type="i32" shape="3" offset="37928" size="12" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="409" name="self.decoder.up_blocks.3.resnets.1.norm1.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="128" offset="97790420" size="256" />
 			<output>
-				<port id="0" precision="I32">
-					<dim>3</dim>
+				<port id="0" precision="FP16" names="self.decoder.up_blocks.3.resnets.1.norm1.weight">
+					<dim>128</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="652" name="__module.decoder.up_blocks.3.resnets.2.norm1/aten::group_norm/Reshape" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="410" name="self.decoder.up_blocks.3.resnets.1.norm1.weight" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
+				<port id="0" precision="FP16">
 					<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 id="1" precision="FP32">
+					<dim>128</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="653" 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="37940" size="4" />
+		<layer id="411" name="self.decoder.up_blocks.3.resnets.1.norm1.bias_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="128" offset="97790676" size="256" />
 			<output>
-				<port id="0" precision="I32">
-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.decoder.up_blocks.3.resnets.1.norm1.bias">
+					<dim>128</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="654" 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="412" name="self.decoder.up_blocks.3.resnets.1.norm1.bias" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<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 id="0" precision="FP16">
+					<dim>128</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
+				<port id="1" precision="FP32">
+					<dim>128</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="655" name="__module.decoder.up_blocks.3.resnets.2.norm1/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
-			<data output_type="i32" />
+		<layer id="413" 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>
@@ -11802,27 +7218,33 @@
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
+				<port id="1" precision="FP32">
+					<dim>128</dim>
+				</port>
+				<port id="2" precision="FP32">
+					<dim>128</dim>
+				</port>
 			</input>
 			<output>
-				<port id="1" precision="I32">
-					<dim>4</dim>
+				<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="656" name="__module.decoder.up_blocks.3.resnets.2.norm1/aten::group_norm/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="414" 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>32</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
 					<dim>-1</dim>
-				</port>
-				<port id="1" precision="I32">
-					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="1" precision="FP32" names="576">
 					<dim>-1</dim>
 					<dim>128</dim>
 					<dim>-1</dim>
@@ -11830,41 +7252,41 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="657" name="Constant_639344_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 128, 1, 1" offset="98381768" size="256" />
+		<layer id="415" name="self.decoder.up_blocks.3.resnets.1.conv1.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="128, 128, 3, 3" offset="97790932" size="294912" />
 			<output>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.decoder.up_blocks.3.resnets.1.conv1.weight">
 					<dim>128</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+					<dim>128</dim>
+					<dim>3</dim>
+					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="658" name="Constant_639344" type="Convert" version="opset1">
+		<layer id="416" name="self.decoder.up_blocks.3.resnets.1.conv1.weight" 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>
+					<dim>128</dim>
+					<dim>3</dim>
+					<dim>3</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
 					<dim>128</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+					<dim>128</dim>
+					<dim>3</dim>
+					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="659" name="__module.decoder.up_blocks.3.resnets.2.norm1/aten::group_norm/Multiply" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="417" 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>
@@ -11873,10 +7295,10 @@
 					<dim>-1</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
 					<dim>128</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+					<dim>128</dim>
+					<dim>3</dim>
+					<dim>3</dim>
 				</port>
 			</input>
 			<output>
@@ -11888,8 +7310,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="660" name="Constant_639345_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 128, 1, 1" offset="98382024" size="256" />
+		<layer id="418" 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="98085844" size="256" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -11899,7 +7321,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="661" name="Constant_639345" type="Convert" version="opset1">
+		<layer id="419" 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" />
@@ -11921,7 +7343,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="662" name="__module.decoder.up_blocks.3.resnets.2.norm1/aten::group_norm/Add" type="Add" version="opset1">
+		<layer id="420" 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">
@@ -11938,25 +7360,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="605,input.137">
-					<dim>-1</dim>
-					<dim>128</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="663" 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>
-					<dim>-1</dim>
-					<dim>-1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32" names="606">
+				<port id="2" precision="FP32" names="583,input.129">
 					<dim>-1</dim>
 					<dim>128</dim>
 					<dim>-1</dim>
@@ -11964,18 +7368,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="664" name="self.decoder.up_blocks.3.resnets.2.conv1.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="128, 128, 3, 3" offset="98382280" size="294912" />
+		<layer id="421" name="self.decoder.up_blocks.3.resnets.1.norm2.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="128" offset="98086100" size="256" />
 			<output>
-				<port id="0" precision="FP16" names="self.decoder.up_blocks.3.resnets.2.conv1.weight">
-					<dim>128</dim>
+				<port id="0" precision="FP16" names="self.decoder.up_blocks.3.resnets.1.norm2.weight">
 					<dim>128</dim>
-					<dim>3</dim>
-					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="665" name="self.decoder.up_blocks.3.resnets.2.conv1.weight" type="Convert" version="opset1">
+		<layer id="422" name="self.decoder.up_blocks.3.resnets.1.norm2.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -11983,80 +7384,40 @@
 			<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="666" 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" />
-			<input>
-				<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">
-					<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="667" name="__module.decoder.up_blocks.3.resnets.2.conv1/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 128, 1, 1" offset="98677192" size="256" />
+		<layer id="423" name="self.decoder.up_blocks.3.resnets.1.norm2.bias_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="128" offset="98086356" size="256" />
 			<output>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.decoder.up_blocks.3.resnets.1.norm2.bias">
 					<dim>128</dim>
-					<dim>1</dim>
-					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="668" name="__module.decoder.up_blocks.3.resnets.2.conv1/aten::_convolution/Reshape" type="Convert" version="opset1">
+		<layer id="424" name="self.decoder.up_blocks.3.resnets.1.norm2.bias" 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="669" name="__module.decoder.up_blocks.3.resnets.2.conv1/aten::_convolution/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="425" 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>
@@ -12065,14 +7426,14 @@
 					<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="613,input.139">
+				<port id="3" precision="FP32" names="586,input.131">
 					<dim>-1</dim>
 					<dim>128</dim>
 					<dim>-1</dim>
@@ -12080,19 +7441,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="670" name="__module.decoder.up_blocks.3.resnets.2.norm2/aten::group_norm/Constant" type="Const" version="opset1">
-			<data element_type="i32" shape="3" offset="37928" 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="671" name="__module.decoder.up_blocks.3.resnets.2.norm2/aten::group_norm/Reshape" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="426" 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>
@@ -12100,72 +7449,63 @@
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
-				<port id="1" precision="I32">
-					<dim>3</dim>
-				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="1" precision="FP32" names="587,input.133">
+					<dim>-1</dim>
+					<dim>128</dim>
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="672" name="__module.decoder.up_blocks.3.resnets.2.norm2/aten::group_norm/Constant_1" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="37940" size="4" />
-			<output>
-				<port id="0" precision="I32">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="673" name="__module.decoder.up_blocks.3.resnets.2.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>
+		<layer id="427" name="self.decoder.up_blocks.3.resnets.1.conv2.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="128, 128, 3, 3" offset="98086612" size="294912" />
 			<output>
-				<port id="2" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
+				<port id="0" precision="FP16" names="self.decoder.up_blocks.3.resnets.1.conv2.weight">
+					<dim>128</dim>
+					<dim>128</dim>
+					<dim>3</dim>
+					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="674" name="__module.decoder.up_blocks.3.resnets.2.norm2/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
-			<data output_type="i32" />
+		<layer id="428" name="self.decoder.up_blocks.3.resnets.1.conv2.weight" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
+				<port id="0" precision="FP16">
 					<dim>128</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>128</dim>
+					<dim>3</dim>
+					<dim>3</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I32">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>128</dim>
+					<dim>128</dim>
+					<dim>3</dim>
+					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="675" name="__module.decoder.up_blocks.3.resnets.2.norm2/aten::group_norm/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="429" 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">
 					<dim>-1</dim>
-					<dim>32</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
-				<port id="1" precision="I32">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>128</dim>
+					<dim>128</dim>
+					<dim>3</dim>
+					<dim>3</dim>
 				</port>
 			</input>
 			<output>
@@ -12177,8 +7517,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="676" name="Constant_639346_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 128, 1, 1" offset="98677448" size="256" />
+		<layer id="430" 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="98381524" size="256" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -12188,7 +7528,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="677" name="Constant_639346" type="Convert" version="opset1">
+		<layer id="431" 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" />
@@ -12210,7 +7550,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="678" name="__module.decoder.up_blocks.3.resnets.2.norm2/aten::group_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="432" 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="FP32">
@@ -12227,7 +7567,32 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="2" precision="FP32" names="595,hidden_states.45">
+					<dim>-1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="433" 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">
+					<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="596,597,input.135">
 					<dim>-1</dim>
 					<dim>128</dim>
 					<dim>-1</dim>
@@ -12235,41 +7600,56 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="679" name="Constant_639347_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 128, 1, 1" offset="98677704" size="256" />
+		<layer id="434" name="self.decoder.up_blocks.3.resnets.2.norm1.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="128" offset="98381780" size="256" />
 			<output>
+				<port id="0" precision="FP16" names="self.decoder.up_blocks.3.resnets.2.norm1.weight">
+					<dim>128</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="435" name="self.decoder.up_blocks.3.resnets.2.norm1.weight" 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>128</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="436" name="self.decoder.up_blocks.3.resnets.2.norm1.bias_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="128" offset="98382036" size="256" />
+			<output>
+				<port id="0" precision="FP16" names="self.decoder.up_blocks.3.resnets.2.norm1.bias">
+					<dim>128</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="680" name="Constant_639347" type="Convert" version="opset1">
+		<layer id="437" name="self.decoder.up_blocks.3.resnets.2.norm1.bias" 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="681" name="__module.decoder.up_blocks.3.resnets.2.norm2/aten::group_norm/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="438" 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>
@@ -12278,14 +7658,14 @@
 					<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">
+				<port id="3" precision="FP32" names="605,input.137">
 					<dim>-1</dim>
 					<dim>128</dim>
 					<dim>-1</dim>
@@ -12293,7 +7673,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="682" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_27" type="Swish" version="opset4">
+		<layer id="439" 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>
@@ -12303,7 +7683,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="617,input.143">
+				<port id="1" precision="FP32" names="606">
 					<dim>-1</dim>
 					<dim>128</dim>
 					<dim>-1</dim>
@@ -12311,10 +7691,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="683" name="self.decoder.up_blocks.3.resnets.2.conv2.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="128, 128, 3, 3" offset="98677960" size="294912" />
+		<layer id="440" name="self.decoder.up_blocks.3.resnets.2.conv1.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="128, 128, 3, 3" offset="98382292" size="294912" />
 			<output>
-				<port id="0" precision="FP16" names="self.decoder.up_blocks.3.resnets.2.conv2.weight">
+				<port id="0" precision="FP16" names="self.decoder.up_blocks.3.resnets.2.conv1.weight">
 					<dim>128</dim>
 					<dim>128</dim>
 					<dim>3</dim>
@@ -12322,7 +7702,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="684" name="self.decoder.up_blocks.3.resnets.2.conv2.weight" type="Convert" version="opset1">
+		<layer id="441" name="self.decoder.up_blocks.3.resnets.2.conv1.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -12344,7 +7724,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="685" name="__module.decoder.up_blocks.3.resnets.2.conv2/aten::_convolution/Convolution" type="Convolution" version="opset1">
+		<layer id="442" 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" />
 			<input>
 				<port id="0" precision="FP32">
@@ -12369,8 +7749,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="686" 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="98972872" size="256" />
+		<layer id="443" name="__module.decoder.up_blocks.3.resnets.2.conv1/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 128, 1, 1" offset="98677204" size="256" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -12380,7 +7760,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="687" name="__module.decoder.up_blocks.3.resnets.2.conv2/aten::_convolution/Reshape" type="Convert" version="opset1">
+		<layer id="444" 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" />
@@ -12402,7 +7782,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="688" name="__module.decoder.up_blocks.3.resnets.2.conv2/aten::_convolution/Add" type="Add" version="opset1">
+		<layer id="445" name="__module.decoder.up_blocks.3.resnets.2.conv1/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -12419,7 +7799,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="625,hidden_states">
+				<port id="2" precision="FP32" names="613,input.139">
 					<dim>-1</dim>
 					<dim>128</dim>
 					<dim>-1</dim>
@@ -12427,44 +7807,56 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="689" name="__module.decoder.up_blocks.3.resnets.2/aten::add/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="446" name="self.decoder.up_blocks.3.resnets.2.norm2.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="128" offset="98677460" size="256" />
+			<output>
+				<port id="0" precision="FP16" names="self.decoder.up_blocks.3.resnets.2.norm2.weight">
+					<dim>128</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="447" name="self.decoder.up_blocks.3.resnets.2.norm2.weight" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<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="FP32">
-					<dim>-1</dim>
 					<dim>128</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
 				</port>
-			</input>
+			</output>
+		</layer>
+		<layer id="448" name="self.decoder.up_blocks.3.resnets.2.norm2.bias_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="128" offset="98677716" size="256" />
 			<output>
-				<port id="2" precision="FP32" names="626,627,input.145">
-					<dim>-1</dim>
+				<port id="0" precision="FP16" names="self.decoder.up_blocks.3.resnets.2.norm2.bias">
 					<dim>128</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="690" name="__module.decoder.conv_norm_out/aten::group_norm/Constant" type="Const" version="opset1">
-			<data element_type="i32" shape="3" offset="37928" size="12" />
+		<layer id="449" name="self.decoder.up_blocks.3.resnets.2.norm2.bias" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="precise" version="0" />
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>128</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I32">
-					<dim>3</dim>
+				<port id="1" precision="FP32">
+					<dim>128</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="691" name="__module.decoder.conv_norm_out/aten::group_norm/Reshape" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="450" name="__module.decoder.up_blocks.3.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>
@@ -12472,72 +7864,87 @@
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
-				<port id="1" precision="I32">
-					<dim>3</dim>
+				<port id="1" precision="FP32">
+					<dim>128</dim>
+				</port>
+				<port id="2" precision="FP32">
+					<dim>128</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="3" precision="FP32" names="616,input.141">
+					<dim>-1</dim>
+					<dim>128</dim>
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="692" name="__module.decoder.conv_norm_out/aten::group_norm/Constant_1" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="37940" size="4" />
-			<output>
-				<port id="0" precision="I32">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="693" 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" />
+		<layer id="451" 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>32</dim>
+					<dim>128</dim>
+					<dim>-1</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="FP32" names="617,input.143">
+					<dim>-1</dim>
+					<dim>128</dim>
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="694" name="__module.decoder.conv_norm_out/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
-			<data output_type="i32" />
+		<layer id="452" name="self.decoder.up_blocks.3.resnets.2.conv2.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="128, 128, 3, 3" offset="98677972" size="294912" />
+			<output>
+				<port id="0" precision="FP16" names="self.decoder.up_blocks.3.resnets.2.conv2.weight">
+					<dim>128</dim>
+					<dim>128</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="453" name="self.decoder.up_blocks.3.resnets.2.conv2.weight" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
+				<port id="0" precision="FP16">
 					<dim>128</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>128</dim>
+					<dim>3</dim>
+					<dim>3</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I32">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>128</dim>
+					<dim>128</dim>
+					<dim>3</dim>
+					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="695" name="__module.decoder.conv_norm_out/aten::group_norm/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="454" 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>32</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
-				<port id="1" precision="I32">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>128</dim>
+					<dim>128</dim>
+					<dim>3</dim>
+					<dim>3</dim>
 				</port>
 			</input>
 			<output>
@@ -12549,8 +7956,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="696" name="Constant_639348_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 128, 1, 1" offset="98973128" size="256" />
+		<layer id="455" 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="98972884" size="256" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -12560,7 +7967,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="697" name="Constant_639348" type="Convert" version="opset1">
+		<layer id="456" 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" />
@@ -12582,7 +7989,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="698" name="__module.decoder.conv_norm_out/aten::group_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="457" 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">
@@ -12599,7 +8006,32 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="2" precision="FP32" names="625,hidden_states">
+					<dim>-1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="458" 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>
@@ -12607,41 +8039,56 @@
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 			</output>
 		</layer>
-		<layer id="699" name="Constant_639349_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 128, 1, 1" offset="98973384" size="256" />
+		<layer id="459" name="self.decoder.conv_norm_out.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="128" offset="98973140" size="256" />
 			<output>
+				<port id="0" precision="FP16" names="self.decoder.conv_norm_out.weight">
+					<dim>128</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="460" name="self.decoder.conv_norm_out.weight" 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>128</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="461" name="self.decoder.conv_norm_out.bias_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="128" offset="98973396" size="256" />
+			<output>
+				<port id="0" precision="FP16" names="self.decoder.conv_norm_out.bias">
+					<dim>128</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="700" name="Constant_639349" type="Convert" version="opset1">
+		<layer id="462" name="self.decoder.conv_norm_out.bias" 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>128</dim>
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 			<output>
 				<port id="1" precision="FP32">
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 					<dim>128</dim>
-					<dim>1</dim>
-					<dim>1</dim>
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 		</layer>
-		<layer id="701" name="__module.decoder.conv_norm_out/aten::group_norm/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="463" 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>
@@ -12650,14 +8097,14 @@
 					<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="630,input">
+				<port id="3" precision="FP32" names="630,input">
 					<dim>-1</dim>
 					<dim>128</dim>
 					<dim>-1</dim>
@@ -12665,7 +8112,7 @@
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 			</output>
 		</layer>
-		<layer id="702" name="__module.decoder.conv_act/aten::silu/Swish" type="Swish" version="opset4">
+		<layer id="464" name="__module.decoder.conv_act/aten::silu/Swish" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -12683,8 +8130,8 @@
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 			</output>
 		</layer>
-		<layer id="703" name="self.decoder.conv_out.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="3, 128, 3, 3" offset="98973640" size="6912" />
+		<layer id="465" name="self.decoder.conv_out.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="3, 128, 3, 3" offset="98973652" size="6912" />
 			<output>
 				<port id="0" precision="FP16" names="self.decoder.conv_out.weight">
 					<dim>3</dim>
@@ -12694,7 +8141,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="704" name="self.decoder.conv_out.weight" type="Convert" version="opset1">
+		<layer id="466" name="self.decoder.conv_out.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -12716,7 +8163,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="705" name="__module.decoder.conv_out/aten::_convolution/Convolution" type="Convolution" version="opset1">
+		<layer id="467" 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">
@@ -12741,8 +8188,8 @@
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 			</output>
 		</layer>
-		<layer id="706" name="__module.decoder.conv_out/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 3, 1, 1" offset="98980552" size="6" />
+		<layer id="468" name="__module.decoder.conv_out/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 3, 1, 1" offset="98980564" size="6" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -12752,7 +8199,7 @@
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 			</output>
 		</layer>
-		<layer id="707" name="__module.decoder.conv_out/aten::_convolution/Reshape" type="Convert" version="opset1">
+		<layer id="469" name="__module.decoder.conv_out/aten::_convolution/Reshape" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -12774,7 +8221,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="708" name="__module.decoder.conv_out/aten::_convolution/Add" type="Add" version="opset1">
+		<layer id="470" name="__module.decoder.conv_out/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -12799,7 +8246,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="709" name="Result_634492" type="Result" version="opset1">
+		<layer id="471" name="Result_102159" type="Result" version="opset1">
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 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -12823,778 +8270,499 @@
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 		<edge from-layer="11" from-port="1" to-layer="12" to-port="1" />
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+		<edge from-layer="12" from-port="2" to-layer="37" to-port="0" />
 		<edge from-layer="12" from-port="2" to-layer="17" to-port="0" />
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+		<edge from-layer="13" from-port="0" to-layer="14" to-port="0" />
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 </net>