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      ],
      "properties": {},
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      "id": 125,
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      "order": 22,
      "mode": 0,
      "inputs": [
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          "name": "samples",
          "type": "LATENT",
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      "id": 139,
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      "outputs": [],
      "title": "Note: Model Links",
      "properties": {},
      "widgets_values": [
        "## Model Links\n\n**custom node**\n- [molbal/comfyui-gguf](https://github.com/molbal/ComfyUI-GGUF)\n\n**vae**\n\n- [minimax_h3_video_vae_fp16.safetensors](https://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/vae/minimax_h3_video_vae_fp16.safetensors)\n- [minimax_h3_audio_vae_fp32.safetensors](https://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/vae/minimax_h3_audio_vae_fp32.safetensors)\n\n**diffusion_models**\n\n- [huggingface.co/molbal/MiniMax-H3-GGUF](https://huggingface.co/molbal/MiniMax-H3-GGUF/tree/main)\n\n**text_encoders**\n\n- [qwen3vl_32b_minimax_h3_nvfp4_awq.safetensors](https://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/text_encoders/qwen3vl_32b_minimax_h3_nvfp4_awq.safetensors)\n\n\n## Model Storage Location\n\n```\n📂 ComfyUI/\n├── 📂 models/\n│   ├── 📂 vae/\n│   │   ├── minimax_h3_video_vae_fp16.safetensors\n│   │   └── minimax_h3_audio_vae_fp32.safetensors\n│   ├── 📂 diffusion_models/\n│   │   └── minimax_h3_ref2va_Q4_0.gguf  (for 12GB VRAM)\n│   │   └── minimax_h3_ref2va_U16G.gguf  (for 16GB VRAM)\n│   │   └── minimax_h3_ref2va_Q8_CR.gguf (for 24GB VRAM)\n│   └── 📂 text_encoders/\n│       └── qwen3vl_32b_minimax_h3_nvfp4_awq.safetensors\n```\n"
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      "bgcolor": "#000"
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      "type": "CLIPLoader",
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      "order": 3,
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      "outputs": [
        {
          "name": "CLIP",
          "type": "CLIP",
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      "properties": {
        "Node name for S&R": "CLIPLoader",
        "models": [
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            "url": "https://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/text_encoders/qwen3vl_32b_minimax_h3_nvfp4_awq.safetensors",
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          "name": "VAE",
          "type": "VAE",
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      ],
      "properties": {
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            "directory": "vae"
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      "title": "Note: MiniMax H3",
      "properties": {},
      "widgets_values": [
        "## MiniMax H3\n\n[MiniMax H3](https://www.minimax.io/blog/minimax-h3) is MiniMax's general-purpose, omni-modal generation model. It jointly understands text, image, video, and audio, and generates video with **native stereo audio**: voice, sound effects, and music are modeled jointly in a single forward pass, not layered on afterward. Output is up to 2K resolution, 24fps, and up to about 15 seconds.\n\n## About this workflow\n\nThis template runs the **reference-to-video (ref2va)** task using the `MiniMaxH3ReferenceToVideo` node. It takes any mix of reference images, videos, and standalone audio, and weaves them into the generation to lock in a character's identity, a style, a motion, a camera move, or a voice.\n\n**Key inputs**\n\n- **ref_images / ref_videos / ref_video_audios / ref_audios**: up to 9 reference images, 3 reference videos (each may carry its own paired soundtrack), and 3 standalone reference audio clips\n- **prompt**: reference the inputs by tag, in the exact order they were connected, for example `<Picture 1>`, `<Video 1>`, `<Audio 1>`, then describe the target scene, motion, and audio\n- **ref_image_size**: `match` scales references down to the generation's resolution (faster); `max` keeps up to a 2048px short edge for stronger identity fidelity, at the cost of speed since reference tokens ride along every sampling step\n- **width / height**: set via Resolution Selector.\n- **duration (seconds)**: converted to a valid frame `length` by the Math Expression node\n\n**Sampling and decode**\n\n- Sampler: `res_multistep`. `beta` or `normal` scheduler tends to outperform `simple` for reference-heavy prompts like this one\n- The sampler's joint audio+video `LATENT` output feeds directly into both `VAEDecode` (video, `minimax_h3_video_vae_fp16`) and `VAEDecodeAudio` (audio, `minimax_h3_audio_vae_fp32`); each decode node automatically pulls its own half out of the packed latent. `CreateVideo` then muxes the two into a single MP4 with synced sound\n- The diffusion model here is `minimax_h3_ref2va_pruned_int8_convrot.safetensors`, a different set of weights from the `fl2va` model used by the t2v/i2v templates\n\nRef2va's output is very sensitive to prompt wording; matching the reference tags precisely and being explicit about which reference drives which part of the shot tends to work best."
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      "mode": 0,
      "showAdvanced": false,
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      "order": 16,
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          "label": "b",
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      "outputs": [
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      "properties": {
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      "widgets_values": [
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      ],
      "properties": {
        "Node name for S&R": "LoadAudio"
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      "widgets_values": [
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      "color": "#432",
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      "flags": {},
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      "inputs": [
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        },
        {
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        },
        {
          "name": "audio_vae",
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        },
        {
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          "name": "ref_images.ref_image_0",
          "shape": 7,
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        },
        {
          "label": "ref_image_1",
          "name": "ref_images.ref_image_1",
          "shape": 7,
          "type": "IMAGE",
          "link": null
        },
        {
          "label": "ref_video_0",
          "name": "ref_videos.ref_video_0",
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        },
        {
          "label": "ref_video_1",
          "name": "ref_videos.ref_video_1",
          "shape": 7,
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          "link": null
        },
        {
          "label": "ref_video_audio_0",
          "name": "ref_video_audios.ref_video_audio_0",
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        },
        {
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        {
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        },
        {
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        {
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      "outputs": [
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          ]
        },
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      ],
      "properties": {
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      "widgets_values": [
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      "order": 17,
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        }
      ],
      "outputs": [
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        },
        {
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