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Browse files- app_old.py +0 -59
app_old.py
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import os
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import subprocess
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import shlex
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from src.demo.model import DesignEdit
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import spaces
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os.makedirs('models', exist_ok=True)
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subprocess.run(shlex.split('wget https://huggingface.co/Adapter/DragonDiffusion/resolve/main/model/efficient_sam_vits.pt -O models/efficient_sam_vits.pt'))
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from src.demo.demo import *
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import shlex
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import cv2
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import gradio as gr
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pretrained_model_path = "stabilityai/stable-diffusion-xl-base-1.0"
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model = DesignEdit(pretrained_model_path=pretrained_model_path)
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DESCRIPTION_1 = """<div style="text-align: center; font-size: 80px;">
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<strong class="title is-1">
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<span style="color: green;">πΏD</span>
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<span style="color: orange;">e</span>
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<span style="color: rgb(63, 185, 63);">s</span>
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<span style="color: green;">i</span>
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<span style="color: rgb(200, 85, 23);">g</span>
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<span style="color: green;">n</span>
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<span style="color: orange;">E</span>
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<span style="color: crimson;">d</span>
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<span style="color: darkorange;">i</span>
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<span style="color: green;">tπΏ</span>
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</strong>
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</div>
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"""
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DESCRIPTION_2 = """ <div style="text-align: center;font-size: 24px;"> <h1> Multi-Layered Latent Decomposition and Fusion for Unified & Accurate Image Editing</h1></div>"""
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DESCRIPTION_3 = """
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<div style="text-align: center; font-size: 24px;">
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<p> Gradio demo for <a href="https://design-edit.github.io/">DesignEdit</a></p>
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</div>
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"""
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with gr.Blocks(css='style.css') as demo:
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gr.Markdown(DESCRIPTION_1)
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gr.Markdown(DESCRIPTION_2)
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gr.Markdown(DESCRIPTION_3)
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with gr.Tabs():
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with gr.TabItem('1οΈβ£ Object Removal'):
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create_demo_remove(model.run_remove)
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with gr.TabItem('2οΈβ£ Zooming Out'):
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create_demo_zooming(model.run_zooming)
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with gr.TabItem('3οΈβ£ Camera Panning'):
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create_demo_panning(model.run_panning)
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with gr.TabItem('4οΈβ£ Object Moving, Resizing and Flipping'):
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create_demo_moving(model.run_moving)
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with gr.TabItem('5οΈβ£ π© Multi-Layered Editing π©'):
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create_demo_layer(model.run_layer)
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with gr.TabItem('π§ Mask Preparation: Draw or Sketch'):
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create_demo_mask_box(model.run_mask)
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demo.queue(concurrency_count=3, max_size=20)
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demo.launch(server_name="0.0.0.0")
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