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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

#31

This is the useful AI stuf. There’s so many usecases this makes possible.

how many times have you edited a photo you took on your phone in the last 7 days?

Half a dozen at least.

(I'm counting only times I used generative editing options in my Galaxy phone - if I were to take your question literally, it would be "at least once every other day", simply due to rotating and cropping.)

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

#32

Earlier quoted context omitted.

how many times have you edited a photo you took on your phone in the last 7 days?

I think 3? I feel like that's often enough. Sometimes it's nice to do a quick dumb ass gag on a whim. If I am anything I am a man who loves a dumb ass gag.

Good on you. I've laughed at many dumbass gags but I've only been a passive consumer of them.

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

#33

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…

> This definition of "slop" doesn't cut reality just quite at the joints.

> People are tired of marketing.

You know what, I'll give you that one. I find most generated art pretty tasteless, but I have enjoyed the occasional piece of fiction with small generated elements for atmosphere. I still hesitate to call it 'art', but I will grant it's not all 'slop'.

But for the second part:

> 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 generators. Silicon-based generators are just cheaper.

I think the problem is how much cheaper it is now. I would estimate generating a picture is at least 2 orders of magnitude cheaper than paying even a cheap human, so with the same amount of money being invested into slop we are due for - and seeing - a huge tidal wave of it, because the same amount of money turns out way more crap now.

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

#34

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.

> 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.

It is possible to use generative AI in nonslop ways btw

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

#35

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.

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.

For locally hostable image editing models, the edit variant of the recently released Boogu-Image[1] model is very good. Anecdotally, I'd say way better than Flux.2 Klein 9B and Qwen-Edit.

[1]: https://github.com/boogu-project/Boogu-Image

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

#36

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.

Awnings, if I understand correctly (I just learned this word right now), are purely additive attachments to structure exteriors - so perhaps they wouldn't necessarily need a full inpainting model? Wouldn't it be enough to estimate an affine transform for a quad and blend the image of awning directly (and the same with shadow map to fake shade)? Is classical photogrammetry up to such task these days?

I have no idea but I think you might be onto something.

So you're saying that, if I can calculate from the picture the position (height, inclination and such), and I can render the model (should be doable) for that height and angle, my best course of action could be to combine original + render and only at the end use a visual model? That could be interesting.

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

#37
> The core insight of Moebius can be summarized in a single equation: Synergy × (Architecture + Distillation) = Shattering the "Impossible Triangle" of Low Parameters, Fast Inference, and High Quality

Is it just me or is it weird seeing these clickbaity AI-generated taglines in an otherwise scientific work?

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

#38
Tried a bit, and while it is very impressive for 0.2B model it would be very hard to convince me that this matches with 10B models. It did work reasonably well with natural images but inpainted regions were visibly smoother than surroundings, and performed very badly on novel objects. It is also limited to 512x512 output, which limits its practical usefulness.

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

#40

This is the useful AI stuf. There’s so many usecases this makes possible.

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 and nothing else.

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