ComfyUI MiniMax H3 Fun ControlNet Union: Pose, Depth, and Canny Control Video

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Model downloads

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Model storage

ComfyUI/
├── 📂 models/
│   ├── 📂 diffusion_models/
│   │   ├── minimax_h3_ref2va_pruned_int8_convrot.safetensors
│   │   └── rt_detr_v4-x-hgnet_fp16.safetensors
│   ├── 📂 text_encoders/
│   │   └── qwen3vl_32b_minimax_h3_nvfp4_awq.safetensors
│   ├── 📂 vae/
│   │   ├── minimax_h3_video_vae_fp16.safetensors
│   │   └── minimax_h3_audio_vae_fp32.safetensors
│   ├── 📂 loras/
│   │   └── minimax_h3_ref2v_turbo_4step_v0.1_comfyui_bf16.safetensors
│   ├── 📂 model_patches/
│   │   └── minimax_h3_fun_controlnet_union_pruned_int8_convrot.safetensors
│   └── 📂 checkpoints/
│       └── sdpose_wholebody_fp16.safetensors

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Prompting tips

1. Video length: The target video runs 5 to 15 seconds on the 17n+5 frame grid at 24fps (124 frames = 5 seconds). A control video longer than the target is trimmed to its first frames; a shorter one holds its last frame. To match the control video’s length exactly, link the example’s computed batch_size output to the length input of the MiniMax H3 Reference to Video node
2. Guidance and strength: Keep guidance_scale at 1.0. Raise the patch strength above 1 only if the output drifts away from the control
3. Video inpainting: Connect a mask to the mask input: regions marked 1 are regenerated under control of the optional source_video input, while the rest of the frame stays fixed
4. Turbo mode (optional): Enable the Lightning LoRA checkbox to use the 4-step turbo LoRA for much faster generation, with slightly lower audio and motion quality
5. Preparing control videos: ComfyUI ships with built-in preprocessing nodes for each control type. See the Detect Edges (Canny) node for edges and the Depth Anything 3 tutorial for depth maps