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    MiniMax H3 Text-to-Video - v1.0
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    RunningHub workflow page: https://www.runninghub.ai/zh-cn/post/2084544656423088130?inviteCode=rh-v1111

    MiniMax H3 Text-to-video

    A MiniMax H3 omni-modal video graph exported from episode 288. 23 nodes / 24 links, one branch. The saved prompt is a 10-second 16:9 3840x2160 first-person MotoGP POV scene. 16:9 at 0.8 MP.

    Saved configuration

    • UNETLoader minimax_h3_fl2va_bf16.safetensors; CLIPLoader qwen3vl_32b_minimax_h3_int8_convrot.safetensors (type minimax); VAELoader video minimax_h3_video_vae_fp16.safetensors + audio minimax_h3_audio_vae_fp32.safetensors.
    • The saved graphs contain no LoRA nodes.
    • Sampling: KSamplerSelect res_multistep with BasicScheduler simple, 20 steps, denoise 1; SamplerCustomAdvanced for the custom chain.
    • Conditioning: MiniMaxH3ImageToVideo / MiniMaxH3ReferenceToVideo saved at 1344x768 / 124 / match where present; ResolutionSelector and duration values are quoted per item above; output goes to SaveVideo prefix video/MiniMax_H3.

    How to use

    No image input at all: the prompt is the only content input. MiniMaxH3ImageToVideo runs as a pure T2V conditioning node.

    Limits and not-verified items

    No inference was run for this listing: no speed, VRAM, audio-sync or quality claim is made. Values are quoted from the saved nodes. The graph's notes link the official Comfy-Org/MiniMax-H3 model files and the MiniMax blog; those notes are preserved and this listing does not claim to be the original template author. Weights, encoder and VAEs are not bundled; check their licenses separately. 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, image/audio and cover rights separately. No blanket commercial or redistribution license is asserted.

    Description



    RunningHub workflow page: https://www.runninghub.ai/zh-cn/post/2084544656423088130?inviteCode=rh-v1111

    MiniMax H3 Text-to-video

    A MiniMax H3 omni-modal video graph exported from episode 288. 23 nodes / 24 links, one branch. The saved prompt is a 10-second 16:9 3840x2160 first-person MotoGP POV scene. 16:9 at 0.8 MP.

    Saved configuration
    • UNETLoader minimax_h3_fl2va_bf16.safetensors; CLIPLoader qwen3vl_32b_minimax_h3_int8_convrot.safetensors (type minimax); VAELoader video minimax_h3_video_vae_fp16.safetensors + audio minimax_h3_audio_vae_fp32.safetensors.
    • The saved graphs contain no LoRA nodes.
    • Sampling: KSamplerSelect res_multistep with BasicScheduler simple, 20 steps, denoise 1; SamplerCustomAdvanced for the custom chain.
    • Conditioning: MiniMaxH3ImageToVideo / MiniMaxH3ReferenceToVideo saved at 1344x768 / 124 / match where present; ResolutionSelector and duration values are quoted per item above; output goes to SaveVideo prefix video/MiniMax_H3.
    How to use

    No image input at all: the prompt is the only content input. MiniMaxH3ImageToVideo runs as a pure T2V conditioning node.

    Limits and not-verified items

    No inference was run for this listing: no speed, VRAM, audio-sync or quality claim is made. Values are quoted from the saved nodes. The graph's notes link the official Comfy-Org/MiniMax-H3 model files and the MiniMax blog; those notes are preserved and this listing does not claim to be the original template author. Weights, encoder and VAEs are not bundled; check their licenses separately. 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, image/audio and cover rights separately. No blanket commercial or redistribution license is asserted.

    Workflows
    MiniMax H3

    Details

    Downloads
    54
    Platform
    CivitAI
    Platform Status
    Available
    Created
    11/2/2026
    Updated
    11/4/2026
    Deleted
    -

    Files