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add hugging_face demo.
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README.md
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### Update
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- **2022.09.14**: Integrated to :hugs: [Hugging Face](https://
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- **2022.09.09**: Integrated to :rocket: [Replicate](https://replicate.com/). Try out online demo! [](https://replicate.com/sczhou/codeformer)
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- **2022.09.04**: Add face upsampling `--face_upsample` for high-resolution AI-created face enhancement.
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- **2022.08.23**: Some modifications on face detection and fusion for better AI-created face enhancement.
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- **2022.08.07**: Integrate [Real-ESRGAN](https://github.com/xinntao/Real-ESRGAN) to support background image enhancement.
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### Update
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- **2022.09.14**: Integrated to :hugs: [Hugging Face](https://huggingface.co/spaces). Try out online demo! [](https://huggingface.co/spaces/sczhou/CodeFormer)
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- **2022.09.09**: Integrated to :rocket: [Replicate](https://replicate.com/explore). Try out online demo! [](https://replicate.com/sczhou/codeformer)
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- **2022.09.04**: Add face upsampling `--face_upsample` for high-resolution AI-created face enhancement.
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- **2022.08.23**: Some modifications on face detection and fusion for better AI-created face enhancement.
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- **2022.08.07**: Integrate [Real-ESRGAN](https://github.com/xinntao/Real-ESRGAN) to support background image enhancement.
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app.py
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@@ -199,12 +199,13 @@ description = r"""<center><img src='https://user-images.githubusercontent.com/14
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π€ 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 β 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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π 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{zhou2022codeformer,
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}
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```
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π§ 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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gr.inputs.Checkbox(default=True, label="Background_Enhance"),
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gr.inputs.Checkbox(default=True, label="Face_Upsample"),
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gr.inputs.Number(default=2, label="Rescaling_Factor"),
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gr.Slider(0, 1, value=0.5, step=0.01, label='Codeformer_Fidelity
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], [
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gr.outputs.Image(type="numpy", label="Output"),
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],
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['04.jpg', True, True, 2, 0.1],
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['05.jpg', True, True, 2, 0.1]
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]
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).launch()
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π€ 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 β 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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π **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{zhou2022codeformer,
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}
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```
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π§ **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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gr.inputs.Checkbox(default=True, label="Background_Enhance"),
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gr.inputs.Checkbox(default=True, label="Face_Upsample"),
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gr.inputs.Number(default=2, label="Rescaling_Factor"),
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gr.Slider(0, 1, value=0.5, step=0.01, label='Codeformer_Fidelity: 0 for better quality, 1 for better identity')
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], [
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gr.outputs.Image(type="numpy", label="Output"),
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],
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['04.jpg', True, True, 2, 0.1],
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['05.jpg', True, True, 2, 0.1]
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]
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).launch()
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