CivArchive
    MiniMax H3 Reference-to-Video 6x Speedup - 24 GB Edition - v1.0
    Preview 147698149


    RunningHub workflow page: https://www.runninghub.ai/zh-cn/post/2086411688710066177?inviteCode=rh-v1111

    MiniMax H3 Reference-To-Video — 24 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_bf16.safetensors; CLIP qwen3vl_32b_minimax_h3_bf16; video fp16/audio fp32 VAEs; turbo-v4 LoRA at 1; euler + beta 6 steps denoise 1.

    How to use

    The 24 GB reference-to-video edition: bf16 ref2va weights and an image + video + audio triple as input. Reference conditioning comes from the still and the clip together; the turbo LoRA keeps the sampler at six steps.

    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.

    Description



    RunningHub workflow page: https://www.runninghub.ai/zh-cn/post/2086411688710066177?inviteCode=rh-v1111

    MiniMax H3 Reference-To-Video — 24 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_bf16.safetensors; CLIP qwen3vl_32b_minimax_h3_bf16; video fp16/audio fp32 VAEs; turbo-v4 LoRA at 1; euler + beta 6 steps denoise 1.

    How to use

    The 24 GB reference-to-video edition: bf16 ref2va weights and an image + video + audio triple as input. Reference conditioning comes from the still and the clip together; the turbo LoRA keeps the sampler at six steps.

    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.

    Workflows
    MiniMax H3

    Details

    Downloads
    63
    Platform
    CivitAI
    Platform Status
    Available
    Created
    11/2/2026
    Updated
    11/4/2026
    Deleted
    -

    Files