useknockout v0.6.0: FastAPI Service with 20 Image‑Processing Endpoints

The useknockout team released version 0.6.0 of their FastAPI image‑processing service, featuring 20 endpoints that can be deployed to Modal with a single command. The endpoints cover background removal (/remove, /remove‑batch, /remove‑url), upscale (/upscale), face restoration (/face‑restore), background replacement (/replace‑bg), and future colorization support. All model weights are baked into the Docker image, allowing self‑hosting on any GPU box or free use of the hosted endpoint and playground at useknockout.com while in beta. The project also ships MIT‑licensed SDKs for Node, React, CLI, and a Python package on PyPI, enabling developers to integrate the service into web, desktop, or command‑line workflows. The GitHub repository hosts the API code and documentation, and the author invites PRs for new features such as /colorize. The release emphasizes ease of deployment, with a single command to launch the service on Modal and the ability to run locally on any GPU. The article highlights the free hosted endpoint, making it accessible for rapid prototyping and experimentation.

Overall, useknockout v0.6.0 delivers a comprehensive, ready‑to‑run image‑processing API with a wide range of endpoints, pre‑baked weights, and multiple SDKs, all under an MIT license. The free hosted playground allows developers to test the service before self‑hosting.

The update positions useknockout as a competitive, low‑friction solution for background removal, upscaling, and face restoration tasks, with future plans for colorization.