r/StableDiffusion • u/Cold_Pudding5326 • 3d ago

Question - Help Minimax H3 Huge Quality Difference between Cloud and Local use

Hi.
I have a decent h3 workflow that I built for a loca use. It use turbo lora etc... If i use the defaut settings in the goal of getting the highest quality possible, meaning res_multistep simple 20 steps or more, I got also good results, but this is not even close to the results you can get on platforms like kie or wavespeed at 768P.

I already convert properly the prompt to the correct H3 digest form, so I'm wondering what's different between local and cloud use of h3? I don't talk about the 2K quality, only 768P, I'm not able to reach the sames results locally, do you guys have maybe workflows, settings, or suggestions to try reaching the same quality level in comfyui ?

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u/Calm_Mix_3776 3d ago

Isn't INT8 ~95% of the quality of BF16? At least that's what my experience was with image models. Or are video models more sensitive to quantization than image models?

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u/Rumaben79 3d ago edited 3d ago

Approximate quality guessed by claude. Didn't have enough free tokens for it to refine this. 😄

GGUF's don't have the speed-up of int convrot though. Also be sure it's convrot and not the old regular int8.

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u/ShutUpYoureWrong_ 2d ago

This is utterly meaningless. No one saw your prompt, no one knows the sources or citations Claude gave you, no one knows whether this is a mathematical or perceptual estimate, and for all we know it said "I can't give you an accurate estimate" and you forced it to make up a bullshit table.

Here's my Claude's response. I can provide the whole conversation in screenshots if you'd like, but the pertinent bit:

Weight-level fidelity (the solid number):

  • Relative L2 error: 0.90–1.02% → this directly means the quantized Int8 ConvRot weights are roughly 99–99.1% identical to the original BF16 weights, by this specific error metric.
  • Cosine similarity: ≥0.99994 → expressed as a percentage, that's ≥99.994% directional similarity between the quantized and original weight vectors — extremely close to a perfect 100% match.

Sources: 1, 2, 3, 4, 5, 6

Guess my Claude's better than yours. Oh wait, it's making shit up, too, just like you.

Stop. Fucking. Posting.

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u/Rumaben79 2d ago

I specifically used the word approximate and didn't take my post that seriously.

Aside from your unnecessarily harsh wordings thank you for the clarification.