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Update app.py
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app.py
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@@ -223,57 +223,12 @@ def inference(image, face_align, background_enhance, face_upsample, upscale, cod
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return None, None
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title = "
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description = r"""
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<br>
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<b>Official Gradio demo</b> for <a href='https://github.com/sczhou/CodeFormer' target='_blank'><b>Towards Robust Blind Face Restoration with Codebook Lookup Transformer (NeurIPS 2022)</b></a><br>
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🔥 CodeFormer is a robust face restoration algorithm for old photos or AI-generated faces.<br>
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🤗 Try CodeFormer for improved stable-diffusion generation!<br>
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"""
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article = r"""
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If CodeFormer is helpful, please help to ⭐ the <a href='https://github.com/sczhou/CodeFormer' target='_blank'>Github Repo</a>. Thanks!
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[](https://github.com/sczhou/CodeFormer)
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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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@inproceedings{zhou2022codeformer,
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author = {Zhou, Shangchen and Chan, Kelvin C.K. and Li, Chongyi and Loy, Chen Change},
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title = {Towards Robust Blind Face Restoration with Codebook Lookup TransFormer},
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booktitle = {NeurIPS},
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year = {2022}
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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/sczhou/CodeFormer/blob/master/LICENSE">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>[email protected]</b>.
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🤗 **Find Me:**
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<style type="text/css">
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td {
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padding-right: 0px !important;
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}
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</style>
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<table>
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<tr>
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<td><a href="https://github.com/sczhou"><img style="margin:-0.8em 0 2em 0" src="https://img.shields.io/github/followers/sczhou?style=social" alt="Github Follow"></a></td>
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<td><a href="https://twitter.com/ShangchenZhou"><img style="margin:-0.8em 0 2em 0" src="https://img.shields.io/twitter/follow/ShangchenZhou?label=%40ShangchenZhou&style=social" alt="Twitter Follow"></a></td>
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</tr>
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</table>
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<center><img src='https://api.infinitescript.com/badgen/count?name=sczhou/CodeFormer<ext=Visitors&color=6dc9aa' alt='visitors'></center>
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"""
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demo = gr.Interface(
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return None, None
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title = "人脸恢复与增强"
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description = r"""
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"""
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article = r"""
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"""
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demo = gr.Interface(
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