<h2>
Towards Robust Blind Face Restoration with Codebook Lookup Transformer
</h2>
<a href="https://badge.fury.io/py/codeformer-pip"><img src="https://badge.fury.io/py/codeformer-pip.svg" alt="pypi version"></a>
<a href="https://huggingface.co/spaces/ArtGAN/Stable-Diffusion-ControlNet-WebUI"><img src="https://img.shields.io/badge/CodeFormer-Demo-orange" alt="HuggingFace Spaces"></a>
This repo is a PyTorch implementation of the paper [CodeFormer](https://arxiv.org/abs/2206.11253).
### Installation
```bash
pip install codeformer-pip
```
### Usage
```python
from codeformer.app import inference_app
inference_app(
image="test.jpg",
background_enhance=True,
face_upsample=True,
upscale=2,
codeformer_fidelity=0.5,
)
```
### Citation
```bibtex
@inproceedings{zhou2022codeformer,
author = {Zhou, Shangchen and Chan, Kelvin C.K. and Li, Chongyi and Loy, Chen Change},
title = {Towards Robust Blind Face Restoration with Codebook Lookup TransFormer},
booktitle = {NeurIPS},
year = {2022}
}
```
### License
This project is licensed under NTU S-Lab License 1.0. Redistribution and use should follow this license.
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