Replicate AI CodeFormer

What is Replicate AI CodeFormer?

Who created Replicate AI CodeFormer?

CodeFormer was created by Shangchen Zhou. It is a robust face restoration algorithm for old photos or AI-generated faces, focusing on stable-diffusion generation. The project is available on GitHub under the username "sczhou".

How to use Replicate AI CodeFormer?

To use CodeFormer, follow these steps:

1. Import the Client:

   • In Python, import CodeFormer by adding the line: import replicate.

2. Run CodeFormer using Replicate’s API:

   • Use Replicate’s API to run CodeFormer with specific inputs and outputs. Refer to the model's schema for details.

3. Install Cog (Optional):

   • Install Cog by running brew install cog if you have Homebrew. For alternative installation options, refer to the Cog documentation.

4. Pull and Run CodeFormer using Cog:

   • Execute the command cog predict with the necessary input parameters to download and run the model in your local environment.

5. Run CodeFormer using Replicate’s API:

   • Utilize the API by sending a POST request with the required parameters, including the version, input image, upscale value, face_upsample option, background_enhance setting, and codeformer_fidelity.

6. Run CodeFormer using Docker (Alternative):

   • Pull and run CodeFormer using Docker with GPU support by running the appropriate Docker command and sending a POST request to the local environment.

These steps provide a comprehensive guide on using CodeFormer efficiently. For more details, refer to the relevant documentation provided by Replicate.