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Create app.py
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app.py
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from __future__ import annotations
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import argparse
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import pathlib
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import torch
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import gradio as gr
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from webUI.app_task import *
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from webUI.styleganex_model import Model
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def parse_args() -> argparse.Namespace:
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parser = argparse.ArgumentParser()
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parser.add_argument('--device', type=str, default='cpu')
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parser.add_argument('--theme', type=str)
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parser.add_argument('--share', action='store_true')
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parser.add_argument('--port', type=int)
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parser.add_argument('--disable-queue',
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dest='enable_queue',
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action='store_false')
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return parser.parse_args()
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DESCRIPTION = '''
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<div align=center>
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<h1 style="font-weight: 900; margin-bottom: 7px;">
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Face Manipulation with <a href="https://github.com/williamyang1991/StyleGANEX">StyleGANEX</a>
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</h1>
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<p>For faster inference without waiting in queue, you may duplicate the space and upgrade to GPU in settings.
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<a href="https://huggingface.co/spaces/PKUWilliamYang/StyleGANEX?duplicate=true"><img style="display: inline; margin-top: 0em; margin-bottom: 0em" src="https://bit.ly/3gLdBN6" alt="Duplicate Space" /></a></p>
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<p/>
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<img style="margin-top: 0em" src="https://raw.githubusercontent.com/williamyang1991/tmpfile/master/imgs/example.jpg" alt="example">
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</div>
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'''
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ARTICLE = r"""
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If StyleGANEX is helpful, please help to ⭐ the <a href='https://github.com/williamyang1991/StyleGANEX' target='_blank'>Github Repo</a>. Thanks!
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[](https://github.com/williamyang1991/StyleGANEX)
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---
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📝 **Citation**
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If our work is useful for your research, please consider citing:
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```bibtex
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@article{yang2023styleganex,
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title = {StyleGANEX: StyleGAN-Based Manipulation Beyond Cropped Aligned Faces},
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author = {Yang, Shuai and Jiang, Liming and Liu, Ziwei and and Loy, Chen Change},
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journal = {arXiv preprint arXiv:2303.06146},
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year={2023},
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}
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```
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📋 **License**
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This project is licensed under <a rel="license" href="https://github.com/williamyang1991/VToonify/blob/main/LICENSE.md">S-Lab License 1.0</a>.
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Redistribution and use for non-commercial purposes should follow this license.
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📧 **Contact**
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If you have any questions, please feel free to reach me out at <b>williamyang@pku.edu.cn</b>.
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"""
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FOOTER = '<div align=center><img id="visitor-badge" alt="visitor badge" src="https://visitor-badge.laobi.icu/badge?page_id=williamyang1991/styleganex" /></div>'
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torch.hub.download_url_to_file('https://raw.githubusercontent.com/williamyang1991/StyleGANEX/main/data/234_sketch.jpg',
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'234_sketch.jpg')
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torch.hub.download_url_to_file('https://github.com/williamyang1991/StyleGANEX/raw/main/output/ILip77SbmOE_inversion.pt',
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'ILip77SbmOE_inversion.pt')
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torch.hub.download_url_to_file('https://raw.githubusercontent.com/williamyang1991/StyleGANEX/main/data/ILip77SbmOE.png',
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'ILip77SbmOE.png')
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torch.hub.download_url_to_file('https://raw.githubusercontent.com/williamyang1991/StyleGANEX/main/data/ILip77SbmOE_mask.png',
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'ILip77SbmOE_mask.png')
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torch.hub.download_url_to_file('https://raw.githubusercontent.com/williamyang1991/StyleGANEX/main/data/pexels-daniel-xavier-1239291.jpg',
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'pexels-daniel-xavier-1239291.jpg')
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torch.hub.download_url_to_file('https://github.com/williamyang1991/StyleGANEX/raw/main/data/529_2.mp4',
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'529_2.mp4')
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torch.hub.download_url_to_file('https://github.com/williamyang1991/StyleGANEX/raw/main/data/684.mp4',
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'684.mp4')
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torch.hub.download_url_to_file('https://github.com/williamyang1991/StyleGANEX/raw/main/data/pexels-anthony-shkraba-production-8136210.mp4',
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'pexels-anthony-shkraba-production-8136210.mp4')
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def main():
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args = parse_args()
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args.device = 'cuda' if torch.cuda.is_available() else 'cpu'
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print('*** Now using %s.'%(args.device))
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model = Model(device=args.device)
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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('Inversion for Editing'):
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create_demo_inversion(model.process_inversion, allow_optimization=False)
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with gr.TabItem('Image Face Toonify'):
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create_demo_toonify(model.process_toonify)
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with gr.TabItem('Video Face Toonify'):
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create_demo_vtoonify(model.process_vtoonify, max_frame_num=4)
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with gr.TabItem('Image Face Editing'):
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create_demo_editing(model.process_editing)
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with gr.TabItem('Video Face Editing'):
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create_demo_vediting(model.process_vediting, max_frame_num=4)
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with gr.TabItem('Sketch2Face'):
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create_demo_s2f(model.process_s2f)
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with gr.TabItem('Mask2Face'):
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create_demo_m2f(model.process_m2f)
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with gr.TabItem('SR'):
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create_demo_sr(model.process_sr)
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gr.Markdown(ARTICLE)
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gr.Markdown(FOOTER)
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demo.launch(
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enable_queue=args.enable_queue,
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server_port=args.port,
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share=args.share,
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)
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if __name__ == '__main__':
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main()
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