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    MiniMax H3 TaoMate 3 Step Acceleration LoRA - v1.0
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    AI-KSK ComfyUI workflow: MiniMax H3 TaoMate 3 Step Acceleration LoRA.

    This workflow is the TaoMate 3-step acceleration final version from the 1080P near-1-frame-per-second benchmark. It runs a two-pass pipeline on the MiniMax H3 hybrid FL2VA/Ref2VA bf16 model: Pass1 uses the TaoMate-H3 step3000 LoRA with a 3-step schedule for fast draft generation, then Pass2 refines with SelfLift acceleration and the full wushu LoRA stack. The graph is a multi-branch master layout with several bypassed branches; only the active branch produces the final 2K output.

    Main features:
    - TaoMate-H3 step3000 ComfyUI-BF16 acceleration LoRA on the model path
    - 3-step simple schedule per active generation branch (euler)
    - MiniMax H3 hybrid FL2VA/Ref2VA bf16 model with Qwen3-VL 32B INT8 ConvRot encoder
    - Wushu LoRA stack: wushu_e3 FL2VA (0.75), H3_Combat_V2 (0.35), camera motion (0.35), spatial physics (0.3), Motion Repair (0.2), weapon combat (0.1)
    - Pass2 SelfLift refinement into the 2K output
    - Audio VAE decode, MP4 video saved at 24 fps

    Suggested workflow:
    Use this workflow as the fast final-version route for digital human talking videos and wushu action shots. Run the 3-step pass first to check identity and motion direction, then let the refinement pass finish the frame. Keep the reference face stable and one clear action sentence per prompt; some duplicate branches in the graph are bypassed by design, so do not enable them manually.

    RunningHub workflow (try online, no install needed):
    https://www.runninghub.ai/zh-cn/post/2100147178424578050?inviteCode=rh-v1111

    AI-KSK RunningHub workflow hub:
    https://www.runninghub.ai/user-center/1892566146468511746?inviteCode=rh-v1111

    Bilibili tutorial:
    https://www.bilibili.com/video/BV1MYec6uEoN/

    RunningHub registration and AI tools:
    https://www.runninghub.ai/?inviteCode=rh-v1111
    https://www.runninghub.ai/ai-generator/2046514150500524034?inviteCode=rh-v1111
    https://www.runninghub.ai/vip-rights/3?inviteCode=rh-v1111
    https://rhtv.runninghub.ai/projects?inviteCode=rh-v1111

    Stable global access:
    https://lelians.com/#/register?code=mFIJ5tZn

    TokenRhythm AI model credits:
    https://tokenrhythm.studio/i/rf_tr_kM6wekDquDDZQD4PUNmgiuHA

    Youyun Cloud GPU:
    https://passport.compshare.cn/register?referral_code=A7fTQUYY9lCDFJwA6MMvoq
    https://www.notion.so/2b72459a3ac6808f8282f2c687ed8f52

    RunPod Cloud GPU:
    https://runpod.io/?ref=sxk5n5m7

    Support AI-KSK:
    https://ko-fi.com/aiksk

    Description



    AI-KSK ComfyUI workflow: MiniMax H3 TaoMate 3 Step Acceleration LoRA.

    This workflow is the TaoMate 3-step acceleration final version from the 1080P near-1-frame-per-second benchmark. It runs a two-pass pipeline on the MiniMax H3 hybrid FL2VA/Ref2VA bf16 model: Pass1 uses the TaoMate-H3 step3000 LoRA with a 3-step schedule for fast draft generation, then Pass2 refines with SelfLift acceleration and the full wushu LoRA stack. The graph is a multi-branch master layout with several bypassed branches; only the active branch produces the final 2K output.

    Main features:
    - TaoMate-H3 step3000 ComfyUI-BF16 acceleration LoRA on the model path
    - 3-step simple schedule per active generation branch (euler)
    - MiniMax H3 hybrid FL2VA/Ref2VA bf16 model with Qwen3-VL 32B INT8 ConvRot encoder
    - Wushu LoRA stack: wushu_e3 FL2VA (0.75), H3_Combat_V2 (0.35), camera motion (0.35), spatial physics (0.3), Motion Repair (0.2), weapon combat (0.1)
    - Pass2 SelfLift refinement into the 2K output
    - Audio VAE decode, MP4 video saved at 24 fps

    Suggested workflow:
    Use this workflow as the fast final-version route for digital human talking videos and wushu action shots. Run the 3-step pass first to check identity and motion direction, then let the refinement pass finish the frame. Keep the reference face stable and one clear action sentence per prompt; some duplicate branches in the graph are bypassed by design, so do not enable them manually.

    RunningHub workflow (try online, no install needed):
    https://www.runninghub.ai/zh-cn/post/2100147178424578050?inviteCode=rh-v1111

    AI-KSK RunningHub workflow hub:
    https://www.runninghub.ai/user-center/1892566146468511746?inviteCode=rh-v1111

    Bilibili tutorial:
    https://www.bilibili.com/video/BV1MYec6uEoN/

    RunningHub registration and AI tools:
    https://www.runninghub.ai/?inviteCode=rh-v1111
    https://www.runninghub.ai/ai-generator/2046514150500524034?inviteCode=rh-v1111
    https://www.runninghub.ai/vip-rights/3?inviteCode=rh-v1111
    https://rhtv.runninghub.ai/projects?inviteCode=rh-v1111

    Stable global access:
    https://lelians.com/#/register?code=mFIJ5tZn

    TokenRhythm AI model credits:
    https://tokenrhythm.studio/i/rf_tr_kM6wekDquDDZQD4PUNmgiuHA

    Youyun Cloud GPU:
    https://passport.compshare.cn/register?referral_code=A7fTQUYY9lCDFJwA6MMvoq
    https://www.notion.so/2b72459a3ac6808f8282f2c687ed8f52

    RunPod Cloud GPU:
    https://runpod.io/?ref=sxk5n5m7

    Support AI-KSK:
    https://ko-fi.com/aiksk
    Workflows
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    Details

    Downloads
    23
    Platform
    CivitAI
    Platform Status
    Available
    Created
    9/16/2026
    Updated
    9/16/2026
    Deleted
    -

    Files

    minimaxH3Taomate3Step_v10.json

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