工作流 /
图像 /
P1_video_minimax_h3_r2v
P1_video_minimax_h3_r2v
P1_video_minimax_h3_r2v
P1_video_minimax_h3_r2v
图像
29 个节点 69 次使用 jarntag 36 KB
需要的权重
这个工作流引用了 1 个权重文件，其中 0 个能在本站模型库里找到。
P1_video_minimax_h3_r2v.json
模型库暂未收录
节点构成
MarkdownNote
× 3
VAELoader
× 2
LoadImage
× 2
ComfySwitchNode
× 2
PrimitiveInt
× 2
SaveVideo
× 1
ResolutionSelector
× 1
VAEDecodeAudio
× 1
VAEDecode
× 1
KSamplerSelect
× 1
BasicScheduler
× 1
SamplerCustomAdvanced
× 1
BasicGuider
× 1
UNETLoader
× 1
CLIPLoader
× 1
RandomNoise
× 1
官方标注的模型
minimax_h3_audio_vae_fp32.safetensorsminimax_h3_ref2v_turbo_4step_v0.1_comfyui_bf16.safetensorsminimax_h3_ref2va_pruned_int8_convrot.safetensorsminimax_h3_video_vae_int8_convrot.safetensorsqwen3vl_32b_minimax_h3_nvfp4_awq.safetensors
工作流 JSON
和上面「下载工作流 JSON」是同一份文件。
1{
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46 {
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55 {
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59 "type": "COMFY_DYNAMICCOMBO_V3",
60 "widget": {
61 "name": "codec"
62 },
63 "link": null
64 }
65 ],
66 "outputs": [
67 {
68 "localized_name": "video",
69 "name": "video",
70 "type": "VIDEO",
71 "links": null
72 }
73 ],
74 "properties": {
75 "cnr_id": "comfy-core",
76 "ver": "0.33.0"
77 },
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80 "auto",
81 "auto",
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83 ],
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134 {
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154 {
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163 "title": "Resolution Selector (Size)",
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166 "cnr_id": "comfy-core",
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168 },
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170 "9:16 (Portrait Widescreen)",
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182 {
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193 "flags": [],
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196 "inputs": [],
197 "outputs": [],
198 "title": "Note: MiniMax H3",
199 "properties": [],
200 "widgets_values": [
201 "## 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_int8_convrot`) 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."
202 ],
203 "widgets_values_named": {
204 "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_int8_convrot`) 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."
205 },
206 "color": "#222",
207 "bgcolor": "#000"
208 },
209 {
210 "id": 117,
211 "type": "MarkdownNote",
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215 ],
216 "size": [
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219 ],
220 "flags": [],
221 "order": 2,
222 "mode": 0,
223 "inputs": [],
224 "outputs": [],
225 "title": "Note: Model Links",
226 "properties": [],
227 "widgets_values": [
228 "## Model Links\n[🤗 Comfy-Org/MiniMax-H3](https://huggingface.co/Comfy-Org/MiniMax-H3)\n\n**vae**\n\n- [minimax_h3_video_vae_int8_convrot.safetensors](https://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/vae/minimax_h3_video_vae_int8_convrot.safetensors) (2.62 GB)\n- [minimax_h3_audio_vae_fp32.safetensors](https://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/vae/minimax_h3_audio_vae_fp32.safetensors) (577.2 MB)\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) (19.53 GB)\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) (14.61 GB)\n\n**loras**\n\n- 4 steps: [minimax_h3_ref2v_turbo_4step_v0.1_comfyui_bf16.safetensors](https://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/loras/minimax_h3_ref2v_turbo_4step_v0.1_comfyui_bf16.safetensors) (1.82 GB)\n\n**embeddings**\n\n- [10 style embeddings](https://huggingface.co/Comfy-Org/MiniMax-H3/tree/main/embeddings) (`minimaxh3_*.safetensors`), for example `minimaxh3_art_is_explosion`\n\n## Model Storage Location\n\n```\n📂 ComfyUI/\n├── 📂 models/\n│ ├── 📂 vae/\n│ │ ├── minimax_h3_video_vae_int8_convrot.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│ ├── 📂 loras/\n│ │ └── minimax_h3_ref2v_turbo_4step_v0.1_comfyui_bf16.safetensors\n│ └── 📂 embeddings/\n│ └── minimaxh3_art_is_explosion.safetensors\n```\n\n## Using Prompt Embeddings\n\nPrompt embeddings (supported since [ComfyUI#15697](https://github.com/Comfy-Org/ComfyUI/pull/15697)) add reusable style tokens to your prompt. Download one or more embeddings from the folder above into `ComfyUI/models/embeddings/`, then reference one in the prompt text with the `embedding:` prefix and the filename without its extension, for example:\n\n`embedding:minimaxh3_art_is_explosion`\n\nUsing an embedding is optional and the template runs fine without one.\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"
229 ],
230 "widgets_values_named": {
231 "text": "## Model Links\n[🤗 Comfy-Org/MiniMax-H3](https://huggingface.co/Comfy-Org/MiniMax-H3)\n\n**vae**\n\n- [minimax_h3_video_vae_int8_convrot.safetensors](https://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/vae/minimax_h3_video_vae_int8_convrot.safetensors) (2.62 GB)\n- [minimax_h3_audio_vae_fp32.safetensors](https://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/vae/minimax_h3_audio_vae_fp32.safetensors) (577.2 MB)\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) (19.53 GB)\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) (14.61 GB)\n\n**loras**\n\n- 4 steps: [minimax_h3_ref2v_turbo_4step_v0.1_comfyui_bf16.safetensors](https://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/loras/minimax_h3_ref2v_turbo_4step_v0.1_comfyui_bf16.safetensors) (1.82 GB)\n\n**embeddings**\n\n- [10 style embeddings](https://huggingface.co/Comfy-Org/MiniMax-H3/tree/main/embeddings) (`minimaxh3_*.safetensors`), for example `minimaxh3_art_is_explosion`\n\n## Model Storage Location\n\n```\n📂 ComfyUI/\n├── 📂 models/\n│ ├── 📂 vae/\n│ │ ├── minimax_h3_video_vae_int8_convrot.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│ ├── 📂 loras/\n│ │ └── minimax_h3_ref2v_turbo_4step_v0.1_comfyui_bf16.safetensors\n│ └── 📂 embeddings/\n│ └── minimaxh3_art_is_explosion.safetensors\n```\n\n## Using Prompt Embeddings\n\nPrompt embeddings (supported since [ComfyUI#15697](https://github.com/Comfy-Org/ComfyUI/pull/15697)) add reusable style tokens to your prompt. Download one or more embeddings from the folder above into `ComfyUI/models/embeddings/`, then reference one in the prompt text with the `embedding:` prefix and the filename without its extension, for example:\n\n`embedding:minimaxh3_art_is_explosion`\n\nUsing an embedding is optional and the template runs fine without one.\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"
232 },
233 "color": "#222",
234 "bgcolor": "#000"
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253 "name": "vae_name",
254 "type": "COMBO",
255 "widget": {
256 "name": "vae_name"
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258 "link": null
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415 {
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421 ],
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431 ],
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463 "outputs": [
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467 "type": "SAMPLER",
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