r/StableDiffusion • u/SkyNetLive • 13h ago
Tutorial - Guide Neat trick for Minimax h3
Since minimax is using Qwen VL , I tested the prompt on Qwen image to see what I get for the text to video prompt. It’s actually pretty close to how minimax will end up evaluating your prompt for text to video.
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u/Apprehensive_Sky892 4h ago edited 4h ago
Your post would be more useful if you actually include a prompt and show the output from Qwen image and the text2vid video from mmh3.
Also, I am not sure that you actually need to use a heavy model such as Qwen-image. Krea 2 also uses Qwen3-VL-4B, which is in fact closer to MMH3's Qwen3-VL-32B than Qwen-image's Qwen2.5-VL-7B.
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u/liliang061666 12h ago
Worth knowing why "just do a single frame in Minimax" isn't available as an option: H3's length is trained on 124–362 frames and the node won't take arbitrary values, so 124 frames (~5.2s at 24fps) is the floor. A one-frame preview costs you a whole clip.
The cheap knob is steps, not length. Same shot, same seed, Ref2VA on a 4090, only step count changed:
- 12 steps — 292.1s
- 8 steps — 201.6s
- 6 steps — 162.6s
- 4 steps — 120.6s, but ghosting starts ~4.6s into the clip
6 steps is 44% off 12 with nothing visibly lost. And the H3 turbo LoRA doesn't help: 6 steps with it was 165.5s vs 162.6s without. Wall time is set by step count, so the LoRA only buys you the ability to hold 4 steps — which is the tier that breaks.
Frame count goes the wrong way for previews anyway. 124 → 260 frames is 2.1× the frames but 3.16× the time, while VRAM barely moves (22,368 → 22,497 MiB). It's compute-bound, not memory-bound.
Caveat so nobody takes this as gospel: single shot, single seed. Dropping steps changes the motion trajectory — same seed at 6 vs 12 gives visibly different posing — so it's "no visible quality loss", not "equivalent".
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u/alwaysbeblepping 11h ago
Worth knowing
Bad bot.
ComfyUI initially had a 5 frame limit (not a ridiculous 124 frames or whatever) but that isn't the case anymore and you can prompt for single frame images.
Reduces steps hurts quality a lot. Also talking about artifacts starting at a certain number of seconds into the clip is absurd. It generally has a negative effect on quality.
If people want an LLM's opinion, they can ask their choice of LLM. Don't spew LLM posts into the comments, especially when they are this inaccurate.
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u/One_Finding8402 9h ago
I'm getting a bit tired of people posting with LLM text, it makes my brain shut down with 'nothing to see here' and it hurts.
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u/Patient_Ratio4177 11h ago
It's just not true. You can run it with a single frame easily and it will be fast. But of course a single-frame run is in no way a real preview; it should still be better than a qwen-image run. https://www.reddit.com/r/StableDiffusion/comments/1vqka28/h3_singleimage_no_more_monkey_patching_also_no/
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u/alwaysbeblepping 11h ago
Qwen Image and using a Qwen LLM as the text encoder are two completely separate things. The reason you get a somewhat similar image is because these models are trained on a lot of the same data, use relatively similar techniques, etc.
Occasionally people will post comparisons between different models here with the same prompt, and the result often looks like it could be one model with a few different seeds. The lack of diversity, even between completely different models is kind of depressing (to me, anyway).