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Porting the Moebius 0.2B Image Inpainting Model to Browser with WebGPU

Simon Willison

1d ago· 8 min readen

technology web development machine learning programming

Summary

A developer describes porting the Moebius 0.2B lightweight image inpainting model (originally requiring PyTorch and CUDA) to run in a browser using WebGPU. The article details the technical process of converting the model, handling dependencies, and building a web-based demo tool that allows users to mark regions of images for AI-powered inpainting directly in the browser without server-side processing.

Source

Twitter / XPorting the Moebius 0.2B Image Inpainting Model to Browser with WebGPUsimonwillison.net

Key quotes

· 3 pulled

This morning on Hacker News I saw Moebius: 0.2B Lightweight Image Inpainting Framework with 10B-Level Performance, describing a small but effective inpainting model

The released model required PyTorch and NVIDIA CUDA, but since it described itself as 0.2B I decided to try and get it running using WebGPU in a browser.

TL;DR: I got it working, and you can try the demo at simonw.github.io/moebius-web/.

Snippet from the RSS feed

This morning on Hacker News I saw Moebius: 0.2B Lightweight Image Inpainting Framework with 10B-Level Performance, describing a small but effective inpainting model—a model where you can mark regions of …

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