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  • gspr 18 minutes

    Nitpick: in the showcase on that page, under Comparison of Natural Scenes, Moebius should definitely get a "structural confusion" tag for the back of the surfboard. If other models get deducted for truncating the surfboard, then surely the elongation that Moebius does should count too.

    Also, what's going on behind the in-painted corner of the house? We'd need to see higher resolution pictures, but I'm not convinced that it too shouldn't get a flag. Likewise with the beach just behind the surfboard. Not terrible, but what gets flagged in the competitors is similar.

  • rasz 23 minutes

    It sure has a thing for chins, jaws and removing weight, looksmaxing build in.

  • james2doyle 15 minutes

    There are some demo spaces using this. This one seems the best (paint your own mask) but it failed on all the images I tried: https://huggingface.co/spaces/multimodalart/Moebius

  • N_Lens 3 hours

    The gallery of their samples is pretty impressive!

  • GL26 51 minutes

    Could this run locally on a smartphone ?

  • hari1123 6 minutes

    lot of the photo editors on mobiles have this, maybe even some apps?

  • zb3 2 hours

    1) What are RAM requirements?

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

  • NooneAtAll3 2 hours

    I don't understand. Is it available somewhere to try or is it just an ad?

    owebmaster 2 hours

    Yeah it's great but how do I use it?

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

    K0IN 2 hours

    with this size we could have a interaactive web demo.

    james2doyle 27 minutes

    Like this? https://huggingface.co/spaces/multimodalart/Moebius

  • delis-thumbs-7e 57 minutes

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

    doctorpangloss 47 minutes

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

    stusmall 30 minutes

    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.

    dogomatic 39 minutes

    Personally, about 9 times. Would be higher if it was even easier and cheaper

    TeMPOraL 5 minutes

    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.)

  • epolanski 2 hours

    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.

    TeMPOraL 1 hours

    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?

    jdiff 28 minutes

    I'm quite perplexed by this comment. If I'm understanding you correctly, sure, what you describe is possible through significantly more effort, orchestration, and source photos. Or we can grab one still image and throw an inpainting model at it.

    BoredPositron 1 hours

    flux klein with LoRa. GPT image and nano often produce high frequency artifacts when editing.

    vunderba 2 hours

    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.

    CharlesW 1 hours

    NB2 means "Nano Banana 2", a Google image generation model. https://blog.google/innovation-and-ai/technology/ai/nano-ban...

    IAmGraydon 1 hours

    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.

    vunderba 1 hours

    [dead]

  • teroshan 3 hours

    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 2 hours

    Scared why?

    teroshan 1 hours

    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.

    TeMPOraL 1 hours

    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.

    solid_fuel 45 minutes

    > 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.

    TeMPOraL 40 minutes

    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 generators. Silicon-based generators are just cheaper.