Download workflow/Minimax_Timeline.json from dzmdd/Fast_deploy: direct link, hf CLI and curl.
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https://huggingface.co/dzmdd/Fast_deploy/resolve/main/workflow/Minimax_Timeline.json
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hf download hf://dzmdd/Fast_deploy/workflow/Minimax_Timeline.json
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curl -L -o Minimax_Timeline.json https://huggingface.co/dzmdd/Fast_deploy/resolve/main/workflow/Minimax_Timeline.json
80.4 kB
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| "## 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\nH3 removes the usual task boundaries between generation modes. Text-to-video, image-to-video, first/last-frame control, and reference-driven generation (character, motion, camera, voice, style) are all handled by one model instead of separate expert pipelines.\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. H3's native canvas is a 768px short edge, capped at 768x1344 pixels, rounded to a multiple of 32\n- **duration (seconds)**: converted to a valid frame `length` by the Math Expression node, snapping up to the model's 17-frame-per-block (17k+5) grid at 24fps\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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| "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\nH3 removes the usual task boundaries between generation modes. Text-to-video, image-to-video, first/last-frame control, and reference-driven generation (character, motion, camera, voice, style) are all handled by one model instead of separate expert pipelines.\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. H3's native canvas is a 768px short edge, capped at 768x1344 pixels, rounded to a multiple of 32\n- **duration (seconds)**: converted to a valid frame `length` by the Math Expression node, snapping up to the model's 17-frame-per-block (17k+5) grid at 24fps\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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| "## Model Links\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_int8_convrot.safetensors](https://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/text_encoders/qwen3vl_32b_minimax_h3_int8_convrot.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_int8_convrot.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" | |
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| "text": "## Model Links\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_int8_convrot.safetensors](https://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/text_encoders/qwen3vl_32b_minimax_h3_int8_convrot.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_int8_convrot.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" | |
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| "prompt": "subject_definitions:\n<Picture 1> and <Picture 2> show the same young woman: long wavy dark brown hair, brown eyes, black lipstick, freckles, black nail polish, large breasts, black triangle bikini top, black string bottoms worn closed, gray sofa, pink-lit wall.\n\nsummary:\nreference generation. Segment 1 of 2, 10 seconds. Live-action cinematic shot of the woman standing in front of the gray sofa, walking toward the lens while stroking her breasts over the bikini. At 00:07.000 a slow dissolve lands on her kneeling. The final 0.917 seconds hold that kneeling pose, both hands on her breasts, string bottoms still closed, for latent handover.\n\nretention_analysis:\nfully_preserved <Picture 1>\nfully_preserved <Picture 2>\n\ndetailed_description:\n[Shot 1] Live-action, cinematic, ultra realistic. The young woman shown in <Picture 1> and <Picture 2> stands in front of the gray sofa against the pink wall, preserving her long wavy dark brown hair, brown eyes, black lipstick, freckles, black nail polish, black triangle bikini top and closed black string bottoms. The camera performs a tracking shot at slow speed at chest level. She walks toward the lens, leans her torso forward, and strokes her breasts over the bikini cups. She blinks once, looks at the camera, then blinks again as her lips part. [Shot 2] At 00:07.000, the shot slow-dissolves to the same woman in the same room now kneeling on the wooden floor facing the lens, knees together, both hands still on her breasts, string bottoms still closed. The camera lowers toward ground level during the dissolve and then holds a slow tracking shot. She blinks slowly, a small smile forms and holds, and her lips stay slightly parted. During 00:09.083-00:10.000 the camera keeps that ground-level tracking shot. She remains kneeling facing the lens, both hands stroking her breasts over the bikini, smile held, one slow blink. No new pose.\n\noverall_soundscape:\nBikini fabric shifts as she walks. Palms rub the cups. Knees meet the floor through the dissolve. Steady breathing and short sighs. During 00:09.083-00:10.000 the same fabric rub, room-floor contact and breathing continue without a new sound event.\n\nnon_diegetic_music:\nN/A\n\n--- SEGMENT ---\n\nsubject_definitions:\nSame woman already established from <Picture 1> and <Picture 2>. No new subject.\n\nsummary:\nvideo continuation + reference generation. Segment 2 of 2, 10 seconds. Opens by repeating the kneeling handover pose for 0.917 seconds, then she places her palms on the floor, goes to all fours, crawls toward the lens at ground level, tilts her head and holds the smile.\n\nretention_analysis:\nfully_preserved <Picture 1>\nfully_preserved <Picture 2>\n\ndetailed_description:\n[Shot 1] Live-action, cinematic, ultra realistic. During 00:00.000-00:00.917 the young woman shown in <Picture 1> and <Picture 2> remains kneeling on the wooden floor in front of the gray sofa against the pink wall, preserving her long wavy dark brown hair, brown eyes, black lipstick, freckles, black nail polish, black triangle bikini top and closed black string bottoms. She faces the lens, both hands on her breasts, smile held, one slow blink. The camera holds the same ground-level tracking shot and the same distance as the end of the previous segment. From 00:00.917, without a cut, she slides her palms down onto the floor, leans her torso forward onto all fours, crawls one slow step toward the lens, blinks, tilts her head a little, and the smile holds. The camera keeps tracking at slow speed at ground level.\n\noverall_soundscape:\nDuring 00:00.000-00:00.917 preceding fabric rub, knee contact and breathing continue. After 00:00.917 palms meet the floor, knees slide, bikini strings shift, steady breathing and short sighs.\n\nnon_diegetic_music:\nN/A", | |
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