Replicate AI CodeFormer

What is Replicate AI CodeFormer?

CodeFormer is an open source face restoration algorithm designed to improve old photos and refine faces generated by AI. It uses a Codebook Lookup Transformer to reliably find and restore faces, especially in images produced by stable-diffusion generation. The algorithm was developed for research purposes and can be run on your own computer, including via Docker.

Who created Replicate AI CodeFormer?

CodeFormer was created by Shangchen Zhou, whose focus was on improving the quality of images produced by stable-diffusion generation. The project is available on GitHub under the username “sczhou”.

How to run Replicate AI CodeFormer

There are several ways to use CodeFormer:

• Via Replicate’s API: Integrate CodeFormer into your applications by importing the Replicate client (import replicate) and running the model. Consult the model’s schema for available inputs and outputs.
• Via a direct API request: POST to the API with the required parameters: the CodeFormer version, the input image, the desired upscale value, whether face_upsample is enabled, the background_enhance setting, and the codeformer_fidelity level.
• Locally with Cog: On a Mac, install Cog with Homebrew (brew install cog); other installation options are documented in the Cog docs. Once installed, run cog predict with the necessary input parameters to download the model and run it locally.
• With Docker: Pull and run CodeFormer with GPU support using the appropriate Docker command, then send a POST request to your local environment just as you would with the API.

For full details, consult the documentation provided by Replicate.