RunningHub workflow page: https://www.runninghub.ai/zh-cn/post/2086411670364184577?inviteCode=rh-v1111
MiniMax H3 Reference-To-Video — 48 GB Edition
A MiniMax H3 video graph from episode 291, part of the six-times-acceleration series that compares model tier, LoRA, attention and cache settings.
Saved configuration
27 nodes / 34 links. LoadImage + LoadVideo + LoadAudio. UNET minimax_h3_ref2va_int8_convrot.safetensors; CLIP qwen3vl_32b_minimax_h3_nvfp4_awq; int8 video/fp32 audio VAEs; turbo-v4 LoRA at 1; euler + beta 6 steps denoise 1.
How to use
The 48 GB reference edition: int8-convrot ref2va weights and nvfp4-awq CLIP. Same six-step turbo recipe as the 24 GB file; the difference is the quantization tier.
Limits and not-verified items
No inference was run for this listing: no speed, VRAM, quality, audio-sync or acceleration-factor claim is made. The "6x" in the episode title is the author's description and was not independently measured. Values are quoted from the saved nodes. H3 weights, LoRAs, encoder and VAEs are not bundled; check their licenses separately. The graph notes credit the official Comfy-Org/MiniMax-H3 model files; preserved as-is, no originality claim. The cover image is a promotional still, not a frame produced by this graph.
Tutorial: YouTube · Bilibili. Workflows supplied through AI-KSK; verify workflow, node, model, LoRA and cover rights separately. No blanket commercial or redistribution license is asserted.