Porting the Moebius 0.2B image inpainting model to run in the browser with Claude Code
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Developer Simon Willison has successfully ported Moebius, a lightweight 0.2-billion-parameter image inpainting model, to run directly in web browsers using WebGPU. By leveraging the Claude Code AI coding agent, the originally CUDA-dependent Python model was adapted to utilize ONNX Runtime Web. A live demo of the tool is now available, allowing users to highlight and automatically remove unwanted regions from images directly in their browser.
The Moebius 0.2B image inpainting model, originally requiring PyTorch and NVIDIA CUDA, was successfully ported to run in a browser using WebGPU. The ported model allows users to mark regions of an image to remove and fill the space with a generated alternative. A demo of the browser-based model is available at simonw.github.io/moebius-web/.