RunningHub workflow page: https://www.runninghub.ai/zh-cn/post/2086332815146311681?inviteCode=rh-v1111
MiniMax H3 Lightx2V Turbo Acceleration — MiniMax H3 LightX2V Turbo Acceleration
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
21 nodes / 27 links. UNET minimax_h3_fl2va_pruned_int8_convrot.safetensors; CLIP qwen3vl_32b_minimax_h3_int8_convrot; video fp16/audio fp32 VAEs; LoRA minimax_h3_fl2v_lightx2v_turbo_4step_v0.1_comfy.safetensors at 0.75; KSamplerSelect er_sde + BasicScheduler simple, 4 steps, denoise 1; one LoadImage.
How to use
The LightX2V route: a different turbo LoRA at 0.75 strength, er_sde sampling and only 4 steps. Note the strength is not 1.0 — that is the saved value, and changing it changes the speed/quality point rather than just the timing.
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.