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@ -19,10 +19,9 @@ It leverages rich and diverse priors encapsulated in a pretrained face GAN (*e.g
- :white_check_mark: We provide a *clean* version of GFPGAN, which does not require CUDA extensions. - :white_check_mark: We provide a *clean* version of GFPGAN, which does not require CUDA extensions.
- :white_check_mark: We provide an updated model without colorizing faces. - :white_check_mark: We provide an updated model without colorizing faces.
---
If GFPGAN is helpful in your photos/projects, please help to :star: this repo. Thanks:blush: <br> If GFPGAN is helpful in your photos/projects, please help to :star: this repo. Thanks:blush: <br>
Other recommended projects: [Real-ESRGAN](https://github.com/xinntao/Real-ESRGAN) &emsp; [BasicSR](https://github.com/xinntao/BasicSR) &emsp; [facexlib](https://github.com/xinntao/facexlib) Other recommended projects: &emsp; :arrow_forward:[Real-ESRGAN](https://github.com/xinntao/Real-ESRGAN) &emsp; :arrow_forward:[BasicSR](https://github.com/xinntao/BasicSR) &emsp; :arrow_forward:[facexlib](https://github.com/xinntao/facexlib)
--- ---
@ -43,7 +42,7 @@ Other recommended projects: [Real-ESRGAN](https://github.com/xinntao/Real-ESRGAN
- Python >= 3.7 (Recommend to use [Anaconda](https://www.anaconda.com/download/#linux) or [Miniconda](https://docs.conda.io/en/latest/miniconda.html)) - Python >= 3.7 (Recommend to use [Anaconda](https://www.anaconda.com/download/#linux) or [Miniconda](https://docs.conda.io/en/latest/miniconda.html))
- [PyTorch >= 1.7](https://pytorch.org/) - [PyTorch >= 1.7](https://pytorch.org/)
- Option: NVIDIA GPU + [CUDA](https://developer.nvidia.com/cuda-downloads) - Option: NVIDIA GPU + [CUDA](https://developer.nvidia.com/cuda-downloads)
- Option: Linux (We have not tested on Windows) - Option: Linux
### Installation ### Installation