MiniMax H3 Reference-to-Video 6x Speedup - 80 GB Edition

RunningHub workflow page: https://www.runninghub.ai/zh-cn/post/2086411609148313601?inviteCode=rh-v1111

MiniMax H3 Reference-To-Video — 80 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_pruned_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 80 GB reference edition: pruned-int8-convrot ref2va weights. Highest-capacity tier in the reference group, same six-step turbo sampling.

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.