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

https://hustvl.github.io/Moebius/
70•DSemba•2h ago

Comments

teroshan•1h ago
Unrelated but when I read inpainting and Moebius I was scared it was related and using the art of the great Jean Giraud [0] a.k.a. Moebius

https://characterdesignreferences.com/artist-of-the-week-3/m...

[0] https://en.wikipedia.org/wiki/Jean_Giraud

coldtea•43m ago
Scared why?
teroshan•23m ago
Scared for the same reason I found last year's 'Ghibli filter' craze upsetting, I would have personally hated to have seen this artist's legacy used for promoting AI image generation.
N_Lens•1h ago
The gallery of their samples is pretty impressive!
NooneAtAll3•1h ago
I don't understand. Is it available somewhere to try or is it just an ad?
owebmaster•1h ago
Yeah it's great but how do I use it?

Edit: I think I found it https://huggingface.co/hustvl/Moebius

K0IN•1h ago
with this size we could have a interaactive web demo.
epolanski•1h ago
What is the current SOTA for impainting?

I have a potential project for my e-commerce where I want to allow users to upload images of their house exteriors and impaint awnings.

vunderba•40m ago
Proprietary? Either gpt-image-2 or NB2.

I have an example of interior decorating inpainting where I replaced a large floor-to-ceiling window with a mirror, and the result was pretty impressive using NB Pro from nearly a year ago.

https://imgpb.com/ZXkiXV

Locally hostable? For my money I'd argue Flux.2 Klein but Qwen-Edit still puts in the work.

IAmGraydon•13m ago
As far as I know, gpt-image-2 doesn't even let you define a mask unless you've already run it through one iteration, and once you do define the mask, it just ignores it 90% of the time. It's utterly useless for inpainting. Also, this and other proprietary models are severely limited in their output resolution.

I do agree, however, that the Flux2 family is the SoTA at the moment. Running locally via something like Comfy gets incredible results.

CharlesW•13m ago
NB2 means "Nano Banana 2", a Google image generation model. https://blog.google/innovation-and-ai/technology/ai/nano-ban...
zb3•48m ago
1) What are RAM requirements?

2) If these are reasonable, a WebGPU demo would be great..

Never Give Them Your Face

https://nevergivethemyourface.com/
454•audiodude•2h ago•253 comments

Pledging Another $400k to the Zig Software Foundation

https://mitchellh.com/writing/zig-donation-2026
451•tosh•2h ago•135 comments

Claude Code's "extended thinking" is a summary- not authentic thinking

https://patrickmccanna.net/the-text-in-claude-codes-extended-thinking-output-is-not-authentic/
123•0o_MrPatrick_o0•2h ago•90 comments

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

https://hustvl.github.io/Moebius/
71•DSemba•2h ago•13 comments

Deno Desktop

https://docs.deno.com/runtime/desktop/
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Die analysis of the 8087 math coprocessor's fast bit shifter (2020)

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https://github.com/openai/codex/issues/28224
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Help I accidentally a wigglegram

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https://david.newgas.net/did-my-old-job-only-exist-because-of-fraud/
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Apertus – Open Foundation Model for Sovereign AI

https://apertvs.ai/
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137•Tomte•4h ago•60 comments

There is minimal downside to switching to open models

https://www.marble.onl/posts/cancel_claude.html
335•amarble•19h ago•281 comments

Nvidia Halos

https://www.nvidia.com/en-us/ai-trust-center/halos/autonomous-vehicles/
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My 1992 view of the problems of computer programming in 1992

https://blog.plover.com/prog/fortran-i.html
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Memory Safe Inline Assembly

https://fil-c.org/inlineasm
160•pizlonator•2d ago•38 comments

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114•helsinkiandrew•5h ago•92 comments

Good results fine tuning a local LLM like Qwen 3:0.6B to categorize questions

https://www.teachmecoolstuff.com/viewarticle/fine-tuning-a-local-llm-to-categorize-questions
196•dev-experiments•17h ago•37 comments

Everything is logarithms

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280•E-Reverance•19h ago•60 comments