{"id":"e3f2b845-8f2c-4b5a-9caf-eac1029d3e7e","revision":0,"last_node_id":173,"last_link_id":345,"nodes":[{"id":116,"type":"MarkdownNote","pos":[-2030,4850],"size":[450,889.6875],"flags":{},"order":0,"mode":0,"inputs":[],"outputs":[],"title":"Note: MiniMax H3","properties":{"ue_properties":{"widget_ue_connectable":{},"version":"7.8","input_ue_unconnectable":{}}},"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."],"widgets_values_named":{"text":"## 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":{"ue_properties":{"widget_ue_connectable":{},"version":"7.8","input_ue_unconnectable":{}}},"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"],"widgets_values_named":{"text":"## 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":126,"type":"BasicGuider","pos":[-250.92888218858633,5084.10995352832],"size":[360,60],"flags":{},"order":23,"mode":0,"inputs":[{"localized_name":"model","name":"model","type":"MODEL","link":302},{"localized_name":"conditioning","name":"conditioning","type":"CONDITIONING","link":270}],"outputs":[{"localized_name":"GUIDER","name":"GUIDER","type":"GUIDER","links":[254]}],"properties":{"cnr_id":"comfy-core","ver":"0.31.0","Node name for S&R":"BasicGuider","ue_properties":{"widget_ue_connectable":{},"version":"7.8","input_ue_unconnectable":{}}}},{"id":140,"type":"MarkdownNote","pos":[-1890,5830],"size":[300,520],"flags":{},"order":2,"mode":0,"inputs":[],"outputs":[],"title":"Note: Size Settings Reference","properties":{"ue_properties":{"widget_ue_connectable":{},"version":"7.8","input_ue_unconnectable":{}}},"widgets_values":["| megapixels | Aspect | Output (multiple=32) |\n|---|---|---|\n| 0.2 | 16:9 | 608 x 352 |\n| 0.3 | 16:9 | 736 x 416 |\n| 0.4 | 16:9 | 864 x 480 |\n| 0.5 | 16:9 | 960 x 544 |\n| 0.6 | 16:9 | 1056 x 608 |\n| 0.7 | 16:9 | 1152 x 640 |\n| 0.8 | 16:9 | 1216 x 672 |\n| 0.9 | 16:9 | 1280 x 736 |\n| 0.98 | 16:9 | 1344 x 768 |\n| 1.0 | 16:9 | 1376 x 768 |\n| 1.2 | 16:9 | 1504 x 832 |\n| 1.5 | 16:9 | 1664 x 928 |\n| 1.8 | 16:9 | 1824 x 1024 |\n| 2.0 | 16:9 | 1920 x 1088 |\n"],"widgets_values_named":{"text":"| megapixels | Aspect | Output (multiple=32) |\n|---|---|---|\n| 0.2 | 16:9 | 608 x 352 |\n| 0.3 | 16:9 | 736 x 416 |\n| 0.4 | 16:9 | 864 x 480 |\n| 0.5 | 16:9 | 960 x 544 |\n| 0.6 | 16:9 | 1056 x 608 |\n| 0.7 | 16:9 | 1152 x 640 |\n| 0.8 | 16:9 | 1216 x 672 |\n| 0.9 | 16:9 | 1280 x 736 |\n| 0.98 | 16:9 | 1344 x 768 |\n| 1.0 | 16:9 | 1376 x 768 |\n| 1.2 | 16:9 | 1504 x 832 |\n| 1.5 | 16:9 | 1664 x 928 |\n| 1.8 | 16:9 | 1824 x 1024 |\n| 2.0 | 16:9 | 1920 x 1088 |\n"},"color":"#222","bgcolor":"#000"},{"id":131,"type":"ComfyMathExpression","pos":[-1353.5460649948163,5648.810805468858],"size":[225,74],"flags":{"collapsed":true},"order":18,"mode":0,"inputs":[{"label":"a","localized_name":"a","name":"values.a","type":"FLOAT,INT,BOOLEAN","link":261},{"localized_name":"b","name":"values.b","shape":7,"type":"FLOAT,INT,BOOLEAN","link":null},{"localized_name":"expression","name":"expression","type":"STRING","widget":{"name":"expression"},"link":null}],"outputs":[{"localized_name":"FLOAT","name":"FLOAT","type":"FLOAT","links":[]},{"localized_name":"INT","name":"INT","type":"INT","links":[275]},{"localized_name":"BOOL","name":"BOOL","type":"BOOLEAN","links":[]}],"properties":{"cnr_id":"comfy-core","ver":"0.31.0","Node name for S&R":"ComfyMathExpression","ue_properties":{"widget_ue_connectable":{},"version":"7.8","input_ue_unconnectable":{}}},"widgets_values":["max(5, round(a * 24)) + (5 - (max(5, round(a * 24)) % 17)) % 17"],"widgets_values_named":{"expression":"max(5, round(a * 24)) + (5 - (max(5, round(a * 24)) % 17)) % 17"}},{"id":122,"type":"VAEDecode","pos":[480,5060],"size":[230,60],"flags":{"collapsed":false},"order":26,"mode":0,"inputs":[{"localized_name":"samples","name":"samples","type":"LATENT","link":280},{"localized_name":"vae","name":"vae","type":"VAE","link":251}],"outputs":[{"localized_name":"IMAGE","name":"IMAGE","type":"IMAGE","links":[305]}],"properties":{"cnr_id":"comfy-core","ver":"0.31.0","Node name for S&R":"VAEDecode","ue_properties":{"widget_ue_connectable":{},"version":"7.8","input_ue_unconnectable":{}}}},{"id":121,"type":"VAEDecodeAudio","pos":[480,5180],"size":[230,60],"flags":{"collapsed":false},"order":27,"mode":0,"inputs":[{"localized_name":"samples","name":"samples","type":"LATENT","link":281},{"localized_name":"vae","name":"vae","type":"VAE","link":250}],"outputs":[{"localized_name":"AUDIO","name":"AUDIO","type":"AUDIO","links":[306]}],"properties":{"cnr_id":"comfy-core","ver":"0.31.0","Node name for S&R":"VAEDecodeAudio","ue_properties":{"widget_ue_connectable":{},"version":"7.8","input_ue_unconnectable":{}}}},{"id":119,"type":"VAELoader","pos":[-1490,5270],"size":[640,70],"flags":{},"order":3,"mode":0,"inputs":[{"localized_name":"vae_name","name":"vae_name","type":"COMBO","widget":{"name":"vae_name"},"link":null}],"outputs":[{"localized_name":"VAE","name":"VAE","type":"VAE","links":[251,273]}],"properties":{"cnr_id":"comfy-core","ver":"0.31.0","Node name for S&R":"VAELoader","models":[{"name":"minimax_h3_video_vae_fp16.safetensors","url":"https://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/vae/minimax_h3_video_vae_fp16.safetensors","directory":"vae"}],"ue_properties":{"widget_ue_connectable":{},"version":"7.8","input_ue_unconnectable":{}}},"widgets_values":["minimax_h3_video_vae_int8_convrot.safetensors"],"widgets_values_named":{"vae_name":"minimax_h3_video_vae_int8_convrot.safetensors"}},{"id":146,"type":"MiniMaxH3TurboSampler","pos":[-202.69699809759445,5194.186466213855],"size":[280.2447265625,26],"flags":{},"order":4,"mode":0,"inputs":[],"outputs":[{"localized_name":"SAMPLER","name":"SAMPLER","type":"SAMPLER","links":[]}],"properties":{"aux_id":"larryvrh/ComfyUI-MiniMax-H3-Turbo","ver":"55fee864dd7b2976b1c4ce3c3d5f7968f181409f","Node name for S&R":"MiniMaxH3TurboSampler","ue_properties":{"widget_ue_connectable":{},"input_ue_unconnectable":{},"version":"7.8"}}},{"id":128,"type":"CLIPLoader","pos":[-1490,5090],"size":[640,120],"flags":{},"order":5,"mode":0,"inputs":[{"localized_name":"clip_name","name":"clip_name","type":"COMBO","widget":{"name":"clip_name"},"link":null},{"localized_name":"type","name":"type","type":"COMBO","widget":{"name":"type"},"link":null},{"localized_name":"device","name":"device","shape":7,"type":"COMBO","widget":{"name":"device"},"link":null}],"outputs":[{"localized_name":"CLIP","name":"CLIP","type":"CLIP","links":[312]}],"properties":{"cnr_id":"comfy-core","ver":"0.31.0","Node name for S&R":"CLIPLoader","models":[{"name":"qwen3vl_32b_minimax_h3_nvfp4_awq.safetensors","url":"https://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/text_encoders/qwen3vl_32b_minimax_h3_nvfp4_awq.safetensors","directory":"text_encoders"}],"ue_properties":{"widget_ue_connectable":{},"version":"7.8","input_ue_unconnectable":{}}},"widgets_values":["qwen3vl_32b_minimax_h3_nvfp4_awq.safetensors","minimax","default"],"widgets_values_named":{"clip_name":"qwen3vl_32b_minimax_h3_nvfp4_awq.safetensors","type":"minimax","device":"default"}},{"id":129,"type":"RandomNoise","pos":[-250.92888218858633,4944.109953528318],"size":[360,90],"flags":{},"order":6,"mode":0,"inputs":[{"localized_name":"noise_seed","name":"noise_seed","type":"INT","widget":{"name":"noise_seed"},"link":null}],"outputs":[{"localized_name":"NOISE","name":"NOISE","type":"NOISE","links":[253]}],"properties":{"cnr_id":"comfy-core","ver":"0.31.0","Node name for S&R":"RandomNoise","ue_properties":{"widget_ue_connectable":{},"version":"7.8","input_ue_unconnectable":{}}},"widgets_values":[82092278820466,"randomize"],"widgets_values_named":{"noise_seed":82092278820466,"control_after_generate":"randomize"}},{"id":136,"type":"MiniMaxH3ReferenceToVideo","pos":[-753.5817209730193,4927.371880608586],"size":[410,504],"flags":{},"order":20,"mode":0,"inputs":[{"localized_name":"clip","name":"clip","type":"CLIP","link":312},{"localized_name":"vae","name":"vae","shape":7,"type":"VAE","link":273},{"localized_name":"audio_vae","name":"audio_vae","shape":7,"type":"VAE","link":274},{"label":"ref_image_0","localized_name":"ref_image_0","name":"ref_images.ref_image_0","shape":7,"type":"IMAGE","link":278},{"localized_name":"ref_image_1","name":"ref_images.ref_image_1","shape":7,"type":"IMAGE","link":319},{"localized_name":"ref_image_2","name":"ref_images.ref_image_2","shape":7,"type":"IMAGE","link":320},{"localized_name":"ref_image_3","name":"ref_images.ref_image_3","shape":7,"type":"IMAGE","link":null},{"localized_name":"ref_image_4","name":"ref_images.ref_image_4","shape":7,"type":"IMAGE","link":null},{"label":"ref_video_0","localized_name":"ref_video_0","name":"ref_videos.ref_video_0","shape":7,"type":"IMAGE","link":345},{"label":"ref_video_audio_0","localized_name":"ref_video_audio_0","name":"ref_video_audios.ref_video_audio_0","shape":7,"type":"AUDIO","link":null},{"localized_name":"ref_video_audio_1","name":"ref_video_audios.ref_video_audio_1","shape":7,"type":"AUDIO","link":null},{"localized_name":"ref_video_audio_2","name":"ref_video_audios.ref_video_audio_2","shape":7,"type":"AUDIO","link":null},{"label":"ref_audio_0","localized_name":"ref_audio_0","name":"ref_audios.ref_audio_0","shape":7,"type":"AUDIO","link":null},{"localized_name":"ref_audio_1","name":"ref_audios.ref_audio_1","shape":7,"type":"AUDIO","link":null},{"localized_name":"ref_audio_2","name":"ref_audios.ref_audio_2","shape":7,"type":"AUDIO","link":null},{"localized_name":"prompt","name":"prompt","type":"STRING","widget":{"name":"prompt"},"link":279},{"localized_name":"width","name":"width","type":"INT","widget":{"name":"width"},"link":276},{"localized_name":"height","name":"height","type":"INT","widget":{"name":"height"},"link":277},{"localized_name":"length","name":"length","type":"INT","widget":{"name":"length"},"link":275},{"localized_name":"ref_image_size","name":"ref_image_size","type":"COMBO","widget":{"name":"ref_image_size"},"link":null},{"localized_name":"ref_video_1","name":"ref_videos.ref_video_1","shape":7,"type":"IMAGE","link":null}],"outputs":[{"localized_name":"positive","name":"positive","type":"CONDITIONING","links":[270]},{"localized_name":"LATENT","name":"LATENT","type":"LATENT","links":[271]}],"properties":{"cnr_id":"comfy-core","ver":"0.31.0","Node 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