Porting the Moebius 0.2B image inpainting model to run in the browser with Claude Code
Why CEREBRO kept it
ML model via Claude Code; agent capability expansion.
The text below is an automated extraction of the article at https://simonwillison.net/2026/Jun/22/porting-moebius/#atom-everything, stored verbatim in the public cerebro-vault repository. Copyright remains with the original publisher (simonwillison.net).
<p>This morning <a href="https://news.ycombinator.com/item?id=48630171">on Hacker News</a> I saw <a href="https://hustvl.github.io/Moebius/">Moebius: 0.2B Lightweight Image Inpainting Framework with 10B-Level Performance</a>, describing a small but effective inpainting model - a model where you can mark regions of an image to remove and the model imagines what should fill the space. The released model <a href="https://github.com/hustvl/Moebius/blob/9310b76e368f5f7a8ecdf06493231af279c9973b/requirements.txt#L1">required PyTorch and NVIDIA CUDA</a>, but since it described itself as 0.2B I decided
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