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MiniMax H3 Day-0 Support in ComfyUI: Open Weights, Native Audio, and 2K Video

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Re: MiniMax H3 Day-0 Support in ComfyUI: Open Weights, Native Audio, and 2K Video

#41

Post by pkroll »

embedding-shape wrote: post #25
Maxious wrote: post #14

Earlier quoted context omitted.

FWIW on a 5080 16GB it takes 3 minutes for 10 seconds 480p video (the mouse video workflow with length changed from 5 seconds to 10 seconds)

FWIW on a 6000 Pro it takes 68 seconds for 10 seconds 480p video, (cold) same demo workflow as you used. Set "megapixels" to 2.0 (1920x1088) and same video seems to take 5+ minutes, not sure if everything is right/correct at the moment. As far as I can tell, the current ComfyUI nodes don't even do compilation, and I haven't looked into what attention mechanism they're using, but I'm sure with time these durations wil…

People on reddit have definitely pointed out that sageattention will speed up the renders.

And it's literally the first day. Someone will make a distilled 4-8 step LoRA and we're off to the races.

Edit: did a couple of 10 second long 864/480 i2v videos on my RTX Pro 6000: sageattention bumps them up 33%, that is to say, 140.89 seconds without sageattention becomes 105.69 with sageattention on (if using the KJ Sageattention node, "allow_compile" doesn't seem to affect it, just "sage_attention" set to "auto" works fine).

EasyCache also appears to work, but does affect quality, at least with the default threshold or even down to 0.10. Still, at 0.10 threshold the same render above, with sageattention, is down to 71.33 seconds, so depending on your use case the quality hit might be worth it. Also it seems that with EasyCache the video still matches the un-EasyCached video (with the same seed), so you could use it to do seed hunting.

Re: MiniMax H3 Day-0 Support in ComfyUI: Open Weights, Native Audio, and 2K Video

#42

Post by iamcoder18 »

razster wrote: post #31
_diyar wrote: post #26

Earlier quoted context omitted.

I agree. But is that the model or the prompt? I remember reading a report where people running AI-model instagram account were using insanely long and detailed prompts about the setting, lighting, makeup, pose, disposition, clothing, etc. about their models. Presumably with some reference image of the face / body to remain consistent across images. It‘s not clear to me whether a sufficiently detailed prompt can gener…

That would be the prompt. With the right assistance from Qwen3.5/Ornith I was able to achieve some amazing results. Unfortunately due to their licensing I'm not allowed to use it in the USA, so I had to halt testing.

[dead]

Re: MiniMax H3 Day-0 Support in ComfyUI: Open Weights, Native Audio, and 2K Video

#44

Post by jackp96 »

rvz wrote: post #3

Hollywood and the film industry on red alert. Too bad. This is AGI.

Eh, the technical examples are impressive. But normal people really don't like AI. And I don't think that's going to improve if we really start to see job displacement.

I see a future here for digital advertising, for design mock-ups, for political propaganda, for robotics model training/world simulation, for fan movies, etc.

But the film industry is struggling to get eyeballs and butts in seats already; using a tool that most people inside-and-outside the industry loathe isn't the answer to fixing that.

At most, I could see it used for pre-viz/pre-production work in Hollywood.

Re: MiniMax H3 Day-0 Support in ComfyUI: Open Weights, Native Audio, and 2K Video

#45

Post by swiftcoder »

knicholes wrote: post #38
embedding-shape wrote: post #15

> We found that the model's modulation weights (~40% of the total parameters) could be pruned and replaced with a functionally equivalent lookup table, dramatically shrinking the memory footprint with no loss in output quality. Is this a common approach to reducing weights with "no loss in output quality", assuming this is true? Seems almost too simple to work. If this is doable, would this be applicable to LLMs as w…

Whoah, could this mean we can treat layers like a jpg, where we come up with a formula that estimates the weight values of a layer instead of storing all of the weights?

This is more or less what those lovely 1.5 bit quantisations are already doing

Re: MiniMax H3 Day-0 Support in ComfyUI: Open Weights, Native Audio, and 2K Video

#46

Post by liuliu »

embedding-shape wrote: post #15

> We found that the model's modulation weights (~40% of the total parameters) could be pruned and replaced with a functionally equivalent lookup table, dramatically shrinking the memory footprint with no loss in output quality. Is this a common approach to reducing weights with "no loss in output quality", assuming this is true? Seems almost too simple to work. If this is doable, would this be applicable to LLMs as w…

It is a well-known trick, given that the timestep is between 0 to 1, you can slicing them at any resolution (1000, or 10000, give or take), and then keep a look-up table for modulation scale / bias etc for each. It is quite different from quantization and it is indeed lossless.

It is also only applicable to diffusion models as only these operates at per-timestep.

Re: MiniMax H3 Day-0 Support in ComfyUI: Open Weights, Native Audio, and 2K Video

#47

Post by ddevnyc »

jononor wrote: post #36
ddevnyc wrote: post #18

Earlier quoted context omitted.

I am particularly curious how multimodal models will work with types of knowledge that are inherently non-text. For example, SOTA LLMs really suck at electronics, especially analog electronics. Is MiniMax H3 capable of logical / technical reasoning, or is it purely art oriented?

Suck at what aspect of (analog) electronics specifically? Not contradicting the claim, just want to understand it. I have not tested yet, but I suspect that LLMs with a harness that can execute code can do SPICE simulations rather ok these days? I have seen MCPs for measurement equipment also, maybe they can even close the physical loop?

spice is a very bad simulation. it's not like a unit test or a VM. it works very differently to the real thing, only approximating it in some highly controlled situations.

Re: MiniMax H3 Day-0 Support in ComfyUI: Open Weights, Native Audio, and 2K Video

#48

Post by ddevnyc »

embedding-shape wrote: post #29
ddevnyc wrote: post #18

Earlier quoted context omitted.

I am particularly curious how multimodal models will work with types of knowledge that are inherently non-text. For example, SOTA LLMs really suck at electronics, especially analog electronics. Is MiniMax H3 capable of logical / technical reasoning, or is it purely art oriented?

> work with types of knowledge that are inherently non-text What are those things exactly? AFAIK, everything we can "know" can be written down, one way or another, even analog circuits. Also, what SOTA LLMs are you referring to? GPTs been handling analog circuits fine for quite some time, I want to say for at least one year? I've been "pair programming" a bunch of working circuits with GPT models since probably GPT 5…

> AFAIK, everything we can "know" can be written down, one way or another, even analog circuits.

writing down circuit diagrams is like cooking about music.

> what SOTA LLMs are you referring to?

I have done a survey among analog electronics designers just a couple weeks ago and they all said that their forays into LLMs were great for digital electronics, code, and firmware, but for analog they were pretty terrible, with a variety of LLMs, according to everyone.

Re: MiniMax H3 Day-0 Support in ComfyUI: Open Weights, Native Audio, and 2K Video

#49

Post by ddevnyc »

chpatrick wrote: post #34
ddevnyc wrote: post #18

Earlier quoted context omitted.

I am particularly curious how multimodal models will work with types of knowledge that are inherently non-text. For example, SOTA LLMs really suck at electronics, especially analog electronics. Is MiniMax H3 capable of logical / technical reasoning, or is it purely art oriented?

I've had great results on electronics with Claude and Gemini.

what sorts of things have you designed with it?

Re: MiniMax H3 Day-0 Support in ComfyUI: Open Weights, Native Audio, and 2K Video

#50

Post by ddevnyc »

echelon wrote: post #30
ddevnyc wrote: post #18

Earlier quoted context omitted.

I am particularly curious how multimodal models will work with types of knowledge that are inherently non-text. For example, SOTA LLMs really suck at electronics, especially analog electronics. Is MiniMax H3 capable of logical / technical reasoning, or is it purely art oriented?

They can be used to create synthetic training data for robotics. It's not the best approach, though.

i bet they're good for it. however robotics aren't electronics. that's a completely different space.
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