How to Use the LaMa Inpainting Model as an API?

I’m looking to implement the LaMa (Resolution-Robust Large Mask Inpainting with Fourier Convolutions) model in my project for image inpainting tasks. I would like to expose this functionality as an API so that it can be accessed by my frontend application.

Here are the specifics of what I’m trying to achieve:

1. Setup: What are the necessary steps to set up the LaMa model for inpainting, including dependencies and environment configurations?
2. API Framework: Which Python web framework (e.g., Flask, FastAPI) is best suited for creating the API? Any recommendations on how to structure the endpoints?
3. Input/Output: How should I handle image uploads (input) and the return of inpainted images (output) through the API?
4. Performance: Are there any best practices for optimizing performance, especially when dealing with large images and masks?
5. Deployment: What are the best practices for deploying this API to a cloud service or containerized environment?

I appreciate any guidance or examples that can help me get started with integrating the LaMa model into an API.

I cloned the repo and run the model but I want to make an API so I will integrate it In another Frontend App

Here is the link of GitHub Repo:
https://github.com/advimman/lama

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