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    MiniMax H3 Audio-Driven Digital Human VDN - v1.0
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    MiniMax H3 audio-driven digital human workflow (VDN 12-step HD edition). Turn one reference portrait plus a user-supplied audio track (singing or talking) into an approximately 1080P, 24fps lip-synced digital human video.

    Main features:
    - Manual audio input (MP3) with start_time / duration; AudioSeparation isolates the vocals, LTXV audio VAE encodes them into H3 audio conditioning
    - Reference-to-video from a single portrait (3:4 portrait mode, 544x736 start)
    - OpenVDN DMD8 two-pass pipeline: 8NFE base pass, learned latent x2 upscale to 1920x1088, 4NFE refine (12-step total)
    - Two-pass audio audit, AV decode and output trim, safe AV save at approx 1080P / 24fps

    Suggested workflow:
    1. Load your portrait into the first-frame slot and select the audio file with start_time / duration
    2. Run the graph as-is; the low pass, latent upscale, high refine and audio audit chain runs in one pass
    3. Export the safe AV save (approx 1080P, 24fps)

    Dependencies:
    - minimax_h3_fl2va_pruned_int8_convrot.safetensors (H3 base UNET)
    - qwen3vl_32b_minimax_h3_nvfp4_awq.safetensors (CLIP)
    - minimax_h3_video_vae_fp16.safetensors and minimax_h3_audio_vae_fp32.safetensors
    - minimax_h3_latent_upscaler_3d_fp16.safetensors (learned latent x2)
    - OpenVDN/vdn-minimax-h3 (DMD8 stage), LTXV audio VAE encoder, KSK T8 custom nodes

    RunningHub workflow page: https://www.runninghub.ai/zh-cn/post/2108580258148929538?inviteCode=rh-v1111
    Bilibili tutorial video: https://www.bilibili.com/video/BV1pTph6EEUv/
    RunningHub registration with invite code rh-v1111 (1000 RH coins): https://www.runninghub.ai/?inviteCode=rh-v1111

    Description



    MiniMax H3 audio-driven digital human workflow (VDN 12-step HD edition). Turn one reference portrait plus a user-supplied audio track (singing or talking) into an approximately 1080P, 24fps lip-synced digital human video.

    Main features:
    - Manual audio input (MP3) with start_time / duration; AudioSeparation isolates the vocals, LTXV audio VAE encodes them into H3 audio conditioning
    - Reference-to-video from a single portrait (3:4 portrait mode, 544x736 start)
    - OpenVDN DMD8 two-pass pipeline: 8NFE base pass, learned latent x2 upscale to 1920x1088, 4NFE refine (12-step total)
    - Two-pass audio audit, AV decode and output trim, safe AV save at approx 1080P / 24fps

    Suggested workflow:
    1. Load your portrait into the first-frame slot and select the audio file with start_time / duration
    2. Run the graph as-is; the low pass, latent upscale, high refine and audio audit chain runs in one pass
    3. Export the safe AV save (approx 1080P, 24fps)

    Dependencies:
    - minimax_h3_fl2va_pruned_int8_convrot.safetensors (H3 base UNET)
    - qwen3vl_32b_minimax_h3_nvfp4_awq.safetensors (CLIP)
    - minimax_h3_video_vae_fp16.safetensors and minimax_h3_audio_vae_fp32.safetensors
    - minimax_h3_latent_upscaler_3d_fp16.safetensors (learned latent x2)
    - OpenVDN/vdn-minimax-h3 (DMD8 stage), LTXV audio VAE encoder, KSK T8 custom nodes

    RunningHub workflow page: https://www.runninghub.ai/zh-cn/post/2108580258148929538?inviteCode=rh-v1111
    Bilibili tutorial video: https://www.bilibili.com/video/BV1pTph6EEUv/
    RunningHub registration with invite code rh-v1111 (1000 RH coins): https://www.runninghub.ai/?inviteCode=rh-v1111

    FAQ

    Workflows
    MiniMax H3

    Details

    Downloads
    116
    Platform
    CivitAI
    Platform Status
    Available
    Created
    10/9/2026
    Updated
    11/7/2026
    Deleted
    -