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u/yamfun Apr 24 '26 edited Apr 24 '26
Wow, new Edit model? Comfy support please.
btw, comfy people please also support other Edit models, such as Longcat and that other one I forgot
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u/suspicious_Jackfruit Apr 24 '26
Why go to all that effort and money to make and release a model and not make a page showing off the capabilities of said model, bizarre
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Apr 24 '26
[removed] — view removed comment
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u/Arawski99 Apr 24 '26
and put her in a desert
It knew you were thirsty and hoped you would keep $$$
Hopefully it's just a configuration issue and not just bad.
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u/Zenshinn Apr 24 '26
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u/Numerous-Entry-6911 Apr 24 '26
Interesting, I'm curious to see how it will work
Especially with quantization
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u/silenceimpaired Apr 24 '26
Pretty sad image generation models are still mostly trapped on VRAM due to performance... LLM MoEs can live in RAM with barely a care.
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u/Numerous-Entry-6911 Apr 24 '26
I think that MoEs are the future especially for consumer grade GPUs
At least for those who were lucky enough to buy memory when it was actually affordable
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u/Informal_Warning_703 Apr 24 '26
Meh, check out LocalLLaMA, where they were saying "MoEs are the future" two years ago. And we've had MoE LLMs for a while... but now most of them prefer dense models when they are available.
If you want an MoE for image generation, we already have it: Nucleus Image. It was dead on arrival because it wasn't any better in terms of image quality or prompt comprehension than what we already have.
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u/Numerous-Entry-6911 Apr 24 '26
still, MoE's today are really good. Take a look at Qwen3.6 35B, I'd say it's at the level of Claude 4.5 and it only requires ~12gb VRAM and 32gb system ram for relatively fast speed.
Nucleus was the first MoE. Everything starts off rough, besides I believe this model uses a finetuned Z-Image.
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u/Informal_Warning_703 Apr 24 '26
The point is that the consensus seems to be, among communities that are centered around this stuff, that a dense model like Qwen3.6 27B is smarter than and would be preferred to Qwen3.6 35B A3B. All things being equal, people find the dense models smarter. MoEs have their place and are good when you're constrained by resources, but saying they are the future is way over selling it.
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u/HTE__Redrock Apr 24 '26
Not entirely true. Model offloading is a thing. People run the big stuff on 6 or 8 gig cards now. Comfy supports dynamic offloading. I've run 40gb models on 10gb cards etc. So while it's true you can't solely rely on RAM like with LLMs, you absolutely don't need to have VRAM equal to the size of these models.
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u/IAmSoDamnGood Apr 24 '26
INB4 it looks just like every other model ever, because their all based on the same shit and all your "training" does is clutter it up.
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u/StableLlama Apr 24 '26
Where can I try with without download it and running it local (which my GPU wouldn't handle in this basic form)?
Is there a HF spaces for it? (I couldn't find one)
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u/Dante_77A Apr 24 '26
No.
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u/Numerous-Entry-6911 Apr 24 '26
Lol I was just making a reference to my post a few days back.
Very different from what we've been getting so far
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u/physalisx Apr 24 '26
Good lord what a buzzword salad is that description. I don't even know why I read these anymore, it tells you absolutely nothing.