{"id":"b218a02d-0837-4257-98c0-06582e77346d","revision":0,"last_node_id":641,"last_link_id":1179,"nodes":[{"id":116,"type":"MarkdownNote","pos":[-2030,4850],"size":[450,889.6875],"flags":{},"order":0,"mode":0,"inputs":[],"outputs":[],"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## ComfyUI links\n- [ComfyUI#15224](https://github.com/Comfy-Org/ComfyUI/pull/15224)\n- [🤗 Comfy-Org/MiniMax-H3](https://huggingface.co/Comfy-Org/MiniMax-H3)\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."],"color":"#222","bgcolor":"#000"},{"id":117,"type":"MarkdownNote","pos":[-2500,4850],"size":[440,740],"flags":{},"order":1,"mode":0,"inputs":[],"outputs":[],"title":"Note: Model Links","properties":{},"widgets_values":["## Model Links\n[🤗 Comfy-Org/MiniMax-H3](https://huggingface.co/Comfy-Org/MiniMax-H3)\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- [minimax_h3_ref2va_pruned_int8_convrot.safetensors](https://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/diffusion_models/minimax_h3_ref2va_pruned_int8_convrot.safetensors)\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_pruned_int8_convrot.safetensors\n│   └── 📂 text_encoders/\n│       └── qwen3vl_32b_minimax_h3_nvfp4_awq.safetensors\n```\n\n## Report Issue\n\nNote: Please update ComfyUI first ([guide](https://docs.comfy.org/installation/update_comfyui)) and prepare required models. Desktop/Cloud updates follow stable releases, so some nightly-supported models may not be available yet.\n\n- Cannot run / runtime errors: [ComfyUI/issues](https://github.com/comfyanonymous/ComfyUI/issues)\n- UI / frontend issues: [ComfyUI_frontend/issues](https://github.com/Comfy-Org/ComfyUI_frontend/issues)\n- Workflow issues: [workflow_templates/issues](https://github.com/Comfy-Org/workflow_templates/issues)\n"],"color":"#222","bgcolor":"#000"},{"id":119,"type":"VAELoader","pos":[-1490,5270],"size":[640,70],"flags":{},"order":2,"mode":0,"inputs":[{"localized_name":"vae名称","name":"vae_name","type":"COMBO","widget":{"name":"vae_name"},"link":null}],"outputs":[{"localized_name":"VAE","name":"VAE","type":"VAE","links":[251,273]}],"properties":{"Node name for 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Use subtle eye contact, relaxed facial expressions, realistic breathing and blinking, gentle hair movement, accurate walking rhythm, balanced posture, anatomically correct hands, and realistic garment and object physics.\n\nAll hand-to-product contact must be accurate. Fingers wrap naturally around handles, straps, edges, controls, or surfaces. Products react correctly to gravity, body movement, fabric motion, momentum, and environmental airflow. If additional people exist in the environment, they may perform subtle natural background actions and briefly react to the model, but they remain secondary and never block or distract from the complete main model.\n\nLIGHT PARTICLE EFFECTS\n\nIntroduce refined, sparse, semi-transparent light particles around the model and both products. The particles gently follow the model's movement, hand gestures, and selected camera path. 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The model and products must look physically present in the environment rather than composited over it.\n\nIDENTITY AND OBJECT CONSISTENCY\n\nMaintain one consistent model identity, one consistent instance of Product A, and one consistent instance of Product B. Preserve product designs and prevent changes in shape, color, size, material, orientation, or identity between frames. Keep wearables correctly fitted to the same body areas and carryable items connected to the correct hands, straps, shoulders, or attachment points. Preserve realistic anatomy, stable facial features, correct limb count, natural hands and fingers, consistent body proportions, and physically plausible motion.\n\nSTRICT GENERATION REQUIREMENTS\n\nThe complete main model remains visible from head to toe throughout the video. Always show both feet with visible space beneath them. Never crop the head, hair, arms, hands, hips, legs, knees, ankles, or feet. 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