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Create app.py
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app.py
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#!/usr/bin/env python
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from __future__ import annotations
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import os
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import pathlib
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import shlex
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import subprocess
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import gradio as gr
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if os.getenv('SYSTEM') == 'spaces':
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with open('patch') as f:
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subprocess.run(shlex.split('patch -p1'), stdin=f, cwd='T2I-Adapter')
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# base_url = 'https://huggingface.co/lllyasviel/ControlNet/resolve/main/annotator/ckpts/'
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# names = [
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# 'body_pose_model.pth',
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# 'dpt_hybrid-midas-501f0c75.pt',
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# 'hand_pose_model.pth',
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# 'mlsd_large_512_fp32.pth',
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# 'mlsd_tiny_512_fp32.pth',
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# 'network-bsds500.pth',
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# 'upernet_global_small.pth',
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# ]
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# for name in names:
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# command = f'wget https://huggingface.co/lllyasviel/ControlNet/resolve/main/annotator/ckpts/{name} -O {name}'
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# out_path = pathlib.Path(f'ControlNet/annotator/ckpts/{name}')
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# if out_path.exists():
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# continue
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# subprocess.run(shlex.split(command), cwd='ControlNet/annotator/ckpts/')
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from gradio_sketch import create_demo as create_demo_sketch
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from model import Model
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MAX_IMAGES = 1
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DESCRIPTION = '''# This is an unofficial demo for T2I-Adapter
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[Paper](https://arxiv.org/abs/2302.08453) [GitHub](https://github.com/TencentARC/T2I-Adapter)
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'''
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if (SPACE_ID := os.getenv('SPACE_ID')) is not None:
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DESCRIPTION += f'''<p>For faster inference without waiting in queue, you may duplicate the space and upgrade to GPU in settings.<br/>
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<a href="https://huggingface.co/spaces/{SPACE_ID}?duplicate=true">
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<img style="margin-top: 0em; margin-bottom: 0em" src="https://bit.ly/3gLdBN6" alt="Duplicate Space"></a>
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<p/>
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'''
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model = Model()
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with gr.Blocks(css='style.css') as demo:
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gr.Markdown(DESCRIPTION)
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with gr.Tabs():
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with gr.TabItem('Sketch'):
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create_demo_sketch(model.process_sketch)
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demo.queue(api_open=False).launch()
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