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Moebius: 0.2B image inpainting model with 10B-level performance

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Re: Moebius: 0.2B image inpainting model with 10B-level performance

#61
I got this working with ONNX (thanks, Claude Opus 4.8) and now I have an interactive demo of the model running entirely in the browser here (~1.3GB download): https://simonw.github.io/moebius-web/ - code here: https://github.com/simonw/moebius-web

(Claude Code transcript: https://gisthost.github.io/?58039ba5c1ca3ed177e8659168996ee4)

Wrote this up in more detail on my blog: https://simonwillison.net/2026/Jun/22/porting-moebius/

Re: Moebius: 0.2B image inpainting model with 10B-level performance

#62
post #61

I got this working with ONNX (thanks, Claude Opus 4.8) and now I have an interactive demo of the model running entirely in the browser here (~1.3GB download): https://simonw.github.io/moebius-web/ - code here: https://github.com/simonw/moebius-web (Claude Code transcript: https://gisthost.github.io/?58039ba5c1ca3ed177e8659168996ee4 ) Wrote this up in more detail on my blog: https://simonwillison.net/2026/Jun/22/porti…

Awesome, I wanted to do the exact same thing (used gpt 5.5 + code) but it didn't get the model to work in onnx...

Re: Moebius: 0.2B image inpainting model with 10B-level performance

#63

Earlier quoted context omitted.

> In case that happened then the rest of the world would probably appreciate the art What art? We’re talking about generated pictures, aka slop, not art made by a real human. And I don’t know if you’ve been paying attention but people seem to be pretty tired of the slop. I don’t think it would be appreciated nearly as much as you think.

This definition of "slop" doesn't cut reality just quite at the joints. People are tired of marketing . AI generated slop people are annoyed with, is garbage produced for marketing reasons, and it's distinctly noticeable precisely because all the bottom-feeder marketing houses switched to using it. But it's not the AI itself that's the problem here. Slop was here before, but it was made with cheap protein-based image…

[deleted]

Re: Moebius: 0.2B image inpainting model with 10B-level performance

#64

Earlier quoted context omitted.

In case that happened then the rest of the world would probably appreciate the art, and a subset of it, the artist (and even a small subset of ~whole Internet-connected population is a lot of people ). Some silver lining, perhaps.

Perhaps. I like the idea that a piece of art, in addition of ultimately ending up as pixels on my screen, is also a window into a world that has been dreamt up by real human imagination, driven by their hopes and fears. Semiconductors based generation may give me the first part, but not the second. I'm speaking for myself here, I agree with your point though.

You just refuse to see certain people’s hopes and fears because they didn’t express them in a way you personally find pleasing.

The LLMs didn’t prompt themselves.

Re: Moebius: 0.2B image inpainting model with 10B-level performance

#65
post #41

I did an inpainting project for a client a few years ago. They were trying to inpaint banner ads for concert promoters, and find a way to make it easy to produce a bunch of different sized ads for a variety of placements. I was tasked with inpainting Xmas themed ad for a few major singers. The weirdest thing was when the inpainting tool added strange people to an image. This singer was all decked out in tinsel and re…

This singer was all decked out in tinsel and red, and the inpainting model added a grumpy old man in a top hat. I don't recall clicking the "Add creepy old man" button.

Obvious reference to the Dickens story A Christmas Carol. In the UK there's a bylaw that requires Christmassy events to hire a Scrooge-like figure to lurk in the background so people keep their enthusiasm in check.

Re: Moebius: 0.2B image inpainting model with 10B-level performance

#67

What is inpainting? Everyone in the comments seems to be familiar with the term, and I don’t see it described in the linked page.

Click on the visualizations to see it in action. The purple areas are areas a user highlighted to tell the system to inpaint, and when you click on the image you see the results of the inpainting. Basically the model redraws sections of an image (the purple areas) using the context of what's in the non-purple areas to decide what might look best in the purple areas. Often used for removing objects but as you can see in the examples it can do other things too.

Re: Moebius: 0.2B image inpainting model with 10B-level performance

#68

Earlier quoted context omitted.

Right, and that's what I find frustrating. There are so many use cases where a local, purpose-built model that's dependably good at one thing would really make a difference. But no one is going to throw a billion dollars to give us amazing dust removal, flawless scene segmentation, etc. Instead, you're supposed to upload it to the cloud and ask a big, multimodal frontier model to maybe please do the thing you want an…

The highest return small local model for me has been the in-built OCR that macOS has. It has finally "solved" OCR by making high-quality results accessible to everyone. Yet the state of art outside the apple ecosystem seems to be tesseract (poor results), or extremely heavy VLMs.

PaddleOCR? Qwen3-VL 30B-A3B?

Re: Moebius: 0.2B image inpainting model with 10B-level performance

#69
post #61

I got this working with ONNX (thanks, Claude Opus 4.8) and now I have an interactive demo of the model running entirely in the browser here (~1.3GB download): https://simonw.github.io/moebius-web/ - code here: https://github.com/simonw/moebius-web (Claude Code transcript: https://gisthost.github.io/?58039ba5c1ca3ed177e8659168996ee4 ) Wrote this up in more detail on my blog: https://simonwillison.net/2026/Jun/22/porti…

well done!

unet weights are in fp32. did you by any chance try something lower, fp16?

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