Real-ESRGAN develops algorithms for general image and video restoration.
Open source
24 alternativesFace Restoration
GFPGAN develops algorithms for restoring real-world faces in images, with its repository focused on practical face-restoration research.
About Face Restoration
This GitHub repository hosts GFPGAN, a project focused on practical real-world face restoration. It uses priors from a pretrained face GAN, such as StyleGAN2, for blind face restoration. The repository provides pretrained model files and a command-line script that restores an image or folder. Its README covers dependencies and installation, including Python and PyTorch requirements.
Pricing is not clearly stated.
Key features
- Implements blind face restoration using pretrained face GAN priors.
- Pretrained model files, including GFPGANv1.3.pth and a V1.4 model.
- RestoreFormer inference code.
- Command-line script for an image or folder, with version and upscale options.
- Optional enhancement of non-face background regions with Real-ESRGAN.
- Online, Colab, and Gradio demo links.
- Requires Python and PyTorch, with optional NVIDIA GPU and CUDA.
Best for: People who want to run face-restoration inference from Python and PyTorch.
Watch out for
- Setup requires installing Python and PyTorch dependencies before use.
- Model choice matters, since V1.3 is not always better than V1.2.
Face Restoration at a glance
- Website
- github.com/TencentARC/GFPGAN
- Category
- Design & Creative › Image Creation & Editing
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Details verified
- Oct 22, 2026 · Official source
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
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