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from __future__ import annotations
import argparse
import pathlib
import torch
import gradio as gr
from webUI.app_task import *
from webUI.styleganex_model import Model
def parse_args() -> argparse.Namespace:
parser = argparse.ArgumentParser()
parser.add_argument('--device', type=str, default='cpu')
parser.add_argument('--theme', type=str)
parser.add_argument('--share', action='store_true')
parser.add_argument('--port', type=int)
parser.add_argument('--disable-queue',
dest='enable_queue',
action='store_false')
return parser.parse_args()
DESCRIPTION = '''
<div align=center>
<h1 style="font-weight: 900; margin-bottom: 7px;">
Face Manipulation with <a href="https://github.com/williamyang1991/StyleGANEX">StyleGANEX</a>
</h1>
<p>For faster inference without waiting in queue, you may duplicate the space and upgrade to GPU in settings.
<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>
<p/>
<img style="margin-top: 0em" src="https://raw.githubusercontent.com/williamyang1991/tmpfile/master/imgs/example.jpg" alt="example">
</div>
'''
ARTICLE = r"""
If StyleGANEX is helpful, please help to ⭐ the <a href='https://github.com/williamyang1991/StyleGANEX' target='_blank'>Github Repo</a>. Thanks!
[](https://github.com/williamyang1991/StyleGANEX)
---
📝 **Citation**
If our work is useful for your research, please consider citing:
```bibtex
@inproceedings{yang2023styleganex,
title = {StyleGANEX: StyleGAN-Based Manipulation Beyond Cropped Aligned Faces},
author = {Yang, Shuai and Jiang, Liming and Liu, Ziwei and and Loy, Chen Change},
booktitle = {ICCV},
year = {2023},
}
```
📋 **License**
This project is licensed under <a rel="license" href="https://github.com/williamyang1991/VToonify/blob/main/LICENSE.md">S-Lab License 1.0</a>.
Redistribution and use for non-commercial purposes should follow this license.
📧 **Contact**
If you have any questions, please feel free to reach me out at <b>williamyang@pku.edu.cn</b>.
"""
FOOTER = '<div align=center><img id="visitor-badge" alt="visitor badge" src="https://visitor-badge.laobi.icu/badge?page_id=williamyang1991/styleganex" /></div>'
def main():
args = parse_args()
args.device = 'cuda' if torch.cuda.is_available() else 'cpu'
print('*** Now using %s.'%(args.device))
model = Model(device=args.device)
torch.hub.download_url_to_file('https://raw.githubusercontent.com/williamyang1991/StyleGANEX/main/data/234_sketch.jpg',
'234_sketch.jpg')
torch.hub.download_url_to_file('https://github.com/williamyang1991/StyleGANEX/raw/main/output/ILip77SbmOE_inversion.pt',
'ILip77SbmOE_inversion.pt')
torch.hub.download_url_to_file('https://raw.githubusercontent.com/williamyang1991/StyleGANEX/main/data/ILip77SbmOE.png',
'ILip77SbmOE.png')
torch.hub.download_url_to_file('https://raw.githubusercontent.com/williamyang1991/StyleGANEX/main/data/ILip77SbmOE_mask.png',
'ILip77SbmOE_mask.png')
torch.hub.download_url_to_file('https://raw.githubusercontent.com/williamyang1991/StyleGANEX/main/data/pexels-daniel-xavier-1239291.jpg',
'pexels-daniel-xavier-1239291.jpg')
torch.hub.download_url_to_file('https://github.com/williamyang1991/StyleGANEX/raw/main/data/529_2.mp4',
'529_2.mp4')
torch.hub.download_url_to_file('https://github.com/williamyang1991/StyleGANEX/raw/main/data/684.mp4',
'684.mp4')
torch.hub.download_url_to_file('https://github.com/williamyang1991/StyleGANEX/raw/main/data/pexels-anthony-shkraba-production-8136210.mp4',
'pexels-anthony-shkraba-production-8136210.mp4')
with gr.Blocks(css='style.css') as demo:
gr.Markdown(DESCRIPTION)
with gr.Tabs():
with gr.TabItem('Inversion for Editing'):
create_demo_inversion(model.process_inversion, allow_optimization=False)
with gr.TabItem('Image Face Toonify'):
create_demo_toonify(model.process_toonify)
with gr.TabItem('Video Face Toonify'):
create_demo_vtoonify(model.process_vtoonify, max_frame_num=12)
with gr.TabItem('Image Face Editing'):
create_demo_editing(model.process_editing)
with gr.TabItem('Video Face Editing'):
create_demo_vediting(model.process_vediting, max_frame_num=12)
with gr.TabItem('Sketch2Face'):
create_demo_s2f(model.process_s2f)
with gr.TabItem('Mask2Face'):
create_demo_m2f(model.process_m2f)
with gr.TabItem('SR'):
create_demo_sr(model.process_sr)
gr.Markdown(ARTICLE)
gr.Markdown(FOOTER)
demo.launch(
enable_queue=args.enable_queue,
server_port=args.port,
share=args.share,
)
if __name__ == '__main__':
main()
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