MiniMax H3 (ComfyUI) R2V workflow with SLA sparse attention - 0.6MP 10s in 3m12s on RTX 3080 10GB

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翻译

MiniMax H3 R2V ワークフロー（SLA 疎注意つき / ComfyUI）

RTX 3080 10GB で 0.6MP・10秒の R2V が 3分12秒で回る構成です。

必要なもの

ComfyUI 0.33.0 以降（動作確認は 0.33.1 / torch 2.13+cu130）

カスタムノード

cd ComfyUI/custom_nodes
git clone https://github.com/PlagueKind/ComfyUI-PlagueKind-Nodes

H3SLAAttention を使うためのものです。MIT、Triton が必要（sageattention が入っていれば通常は入っています）。

モデル（すべて Comfy-Org/MiniMax-H3 から）

ファイル 置き場所
minimax_h3_ref2va_pruned_int8_convrot.safetensors models/diffusion_models/
qwen3vl_32b_minimax_h3_nvfp4_awq.safetensors models/text_encoders/
minimax_h3_video_vae_fp16.safetensors models/vae/
minimax_h3_audio_vae_fp32.safetensors models/vae/

turbo LoRA（models/loras/ に置く）

起動フラグ

--vram-headroom 2.0 --use-sage-attention --disable-pinned-memory

--disable-pinned-memory は強く推奨します。無いと ComfyUI が RAM の40%をページアウト不能に固定し、バッチや構成切り替えで空きRAMが枯れて同じ設定が4倍遅くなります。GPU使用率100%・消費電力は定格のまま遅くなるので外形からは判りません。単発では10%遅くなりますが、その価値があります。

この構成の実測（RTX 3080 10GB / 0.6MP 608x1056 / 10.125秒 / 参照2枚 / 同一シード）

構成 サンプリング 総所要
sage のみ・ckpt850 8step 7分48秒 9分42秒
sage + SLA・ckpt850 8step 3分57秒 5分31秒
sage + SLA + nopin・lightx2v 4step 2分03秒 3分12秒

同梱の JSON は最後の構成（lightx2v 4step）です。

使い分け

step LoRA sampler
静かなカット 4 lightx2v（strength 0.75） er_sde
動きのあるカット 8 ckpt850（strength 1.0） res_multistep

速い動きは 4step で破綻します（武器を薙ぐ、ダンス等）。8step で解消します。

SLA ノードの設定

項目 値 理由
配置 チェーンの最後、Scheduler と Guider の両方に直結 作者の必須要件。外すと効かない
sparsity_ratio 0.90 break-even は 0.60。それ以下では密より遅い
block_size 64 128 は台詞が robotic になる。H3 は音声を毎秒80行で詰めるため
protect_audio オン 音声は系列の約1%しかなく、切ると音だけ劣化する。コスト約7%
min_seq_len 8192 これ未満の系列は自動的に密に戻る（低解像度・短尺では効かない）

効いているかは stderr のログで確認できます。

SLA: 400 calls | S=49826 | blocks 151/779 kept (80.6% sparse) | 0 dense fall-throughs | displaced attention_sage

displaced attention_pytorch と出たら sage が無効です。

音声の sigma shift は 12.0 / 3.0

MiniMaxH3SigmaShift の音声側は 3.0 が正です。6.0 にすると 4step で音声を踏み越えてノイズになります。turbo 使用時の音声ノイズはほぼこれが原因です。

差し替えるところ

  • プロンプト（プレースホルダが入っています）
  • example_character.png / example_background.png を自分の参照画像に
  • 出力先 H3/output

背景を固定したいカットが複数ある場合は、背景の一枚絵を2枚目の参照に入れてください。本文で空間を細かく書いても、参照が無いとカットごとに別の場所になります。

{
"id": "e3f2b845-8f2c-4b5a-9caf-eac1029d3e7e",
"revision": 0,
"last_node_id": 146,
"last_link_id": 299,
"nodes": [
{
"id": 92,
"type": "SaveVideo",
"pos": [
1150,
4880
],
"size": [
1210,
126
],
"flags": {},
"order": 22,
"mode": 0,
"inputs": [
{
"name": "video",
"type": "VIDEO",
"link": 260
}
],
"outputs": [
{
"name": "video",
"type": "VIDEO",
"links": null
}
],
"properties": {},
"widgets_values": [
"H3/output",
"auto",
"auto"
]
},
{
"id": 115,
"type": "ResolutionSelector",
"pos": [
-1480,
5610
],
"size": [
270,
170
],
"flags": {},
"order": 0,
"mode": 0,
"showAdvanced": false,
"inputs": [],
"outputs": [
{
"name": "width",
"type": "INT",
"links": [
276
]
},
{
"name": "height",
"type": "INT",
"links": [
277
]
}
],
"title": "Resolution Selector (Size)",
"properties": {
"Node name for S&R": "ResolutionSelector"
},
"widgets_values": [
"9:16 (Portrait Widescreen)",
0.6,
32
],
"color": "#322",
"bgcolor": "#533"
},
{
"id": 116,
"type": "MarkdownNote",
"pos": [
-2030,
4850
],
"size": [
450,
889.6875
],
"flags": {},
"order": 1,
"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 ``, `
],
"color": "#222",
"bgcolor": "#000"
},
{
"id": 117,
"type": "MarkdownNote",
"pos": [
-2500,
4850
],
"size": [
440,
740
],
"flags": {},
"order": 2,
"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": 3,
"mode": 0,
"inputs": [],
"outputs": [
{
"name": "VAE",
"type": "VAE",
"links": [
251,
273
]
}
],
"properties": {
"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"
}
]
},
"widgets_values": [
"minimax_h3_video_vae_fp16.safetensors"
]
},
{
"id": 120,
"type": "VAELoader",
"pos": [
-1490,
5400
],
"size": [
650,
70
],
"flags": {},
"order": 4,
"mode": 0,
"inputs": [],
"outputs": [
{
"name": "VAE",
"type": "VAE",
"links": [
250,
274
]
}
],
"properties": {
"Node name for S&R": "VAELoader",
"models": [
{
"name": "minimax_h3_audio_vae_fp32.safetensors",
"url": "https://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/vae/minimax_h3_audio_vae_fp32.safetensors",
"directory": "vae"
}
]
},
"widgets_values": [
"minimax_h3_audio_vae_fp32.safetensors"
]
},
{
"id": 121,
"type": "VAEDecodeAudio",
"pos": [
480,
5180
],
"size": [
230,
60
],
"flags": {
"collapsed": false
},
"order": 20,
"mode": 0,
"inputs": [
{
"name": "samples",
"type": "LATENT",
"link": 281
},
{
"name": "vae",
"type": "VAE",
"link": 250
}
],
"outputs": [
{
"name": "AUDIO",
"type": "AUDIO",
"links": [
259
]
}
],
"properties": {
"Node name for S&R": "VAEDecodeAudio"
},
"widgets_values": []
},
{
"id": 122,
"type": "VAEDecode",
"pos": [
480,
5060
],
"size": [
230,
60
],
"flags": {
"collapsed": false
},
"order": 19,
"mode": 0,
"inputs": [
{
"name": "samples",
"type": "LATENT",
"link": 280
},
{
"name": "vae",
"type": "VAE",
"link": 251
}
],
"outputs": [
{
"name": "IMAGE",
"type": "IMAGE",
"links": [
284
]
}
],
"properties": {
"Node name for S&R": "VAEDecode"
},
"widgets_values": []
},
{
"id": 123,
"type": "KSamplerSelect",
"pos": [
-260,
5190
],
"size": [
370,
70
],
"flags": {},
"order": 5,
"mode": 0,
"inputs": [],
"outputs": [
{
"name": "SAMPLER",
"type": "SAMPLER",
"links": [
255
]
}
],
"properties": {
"Node name for S&R": "KSamplerSelect"
},
"widgets_values": [
"er_sde"
]
},
{
"id": 124,
"type": "BasicScheduler",
"pos": [
-260,
5310
],
"size": [
370,
130
],
"flags": {},
"order": 14,
"mode": 0,
"inputs": [
{
"name": "model",
"type": "MODEL",
"link": 287
}
],
"outputs": [
{
"name": "SIGMAS",
"type": "SIGMAS",
"links": [
256
]
}
],
"properties": {
"Node name for S&R": "BasicScheduler"
},
"widgets_values": [
"simple",
4,
1
]
},
{
"id": 125,
"type": "SamplerCustomAdvanced",
"pos": [
150,
5110
],
"size": [
230,
140
],
"flags": {},
"order": 18,
"mode": 0,
"inputs": [
{
"name": "noise",
"type": "NOISE",
"link": 253
},
{
"name": "guider",
"type": "GUIDER",
"link": 254
},
{
"name": "sampler",
"type": "SAMPLER",
"link": 255
},
{
"name": "sigmas",
"type": "SIGMAS",
"link": 256
},
{
"name": "latent_image",
"type": "LATENT",
"link": 271
}
],
"outputs": [
{
"name": "output",
"type": "LATENT",
"links": [
280,
281
]
},
{
"name": "denoised_output",
"type": "LATENT",
"links": []
}
],
"properties": {
"Node name for S&R": "SamplerCustomAdvanced"
},
"widgets_values": []
},
{
"id": 126,
"type": "BasicGuider",
"pos": [
-260,
5080
],
"size": [
360,
60
],
"flags": {},
"order": 17,
"mode": 0,
"inputs": [
{
"name": "model",
"type": "MODEL",
"link": 288
},
{
"name": "conditioning",
"type": "CONDITIONING",
"link": 270
}
],
"outputs": [
{
"name": "GUIDER",
"type": "GUIDER",
"links": [
254
]
}
],
"properties": {
"Node name for S&R": "BasicGuider"
},
"widgets_values": []
},
{
"id": 127,
"type": "UNETLoader",
"pos": [
-1490,
4940
],
"size": [
640,
90
],
"flags": {},
"order": 6,
"mode": 0,
"inputs": [],
"outputs": [
{
"name": "MODEL",
"type": "MODEL",
"links": [
293
]
}
],
"properties": {
"Node name for S&R": "UNETLoader",
"models": [
{
"name": "minimax_h3_ref2va_pruned_int8_convrot.safetensors",
"url": "https://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/diffusion_models/minimax_h3_ref2va_pruned_int8_convrot.safetensors",
"directory": "diffusion_models"
}
]
},
"widgets_values": [
"minimax_h3_ref2va_pruned_int8_convrot.safetensors",
"default"
]
},
{
"id": 128,
"type": "CLIPLoader",
"pos": [
-1490,
5090
],
"size": [
640,
120
],
"flags": {},
"order": 7,
"mode": 0,
"inputs": [],
"outputs": [
{
"name": "CLIP",
"type": "CLIP",
"links": [
272
]
}
],
"properties": {
"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"
}
]
},
"widgets_values": [
"qwen3vl_32b_minimax_h3_nvfp4_awq.safetensors",
"minimax",
"default"
]
},
{
"id": 129,
"type": "RandomNoise",
"pos": [
-260,
4940
],
"size": [
360,
90
],
"flags": {},
"order": 8,
"mode": 0,
"inputs": [],
"outputs": [
{
"name": "NOISE",
"type": "NOISE",
"links": [
253
]
}
],
"properties": {
"Node name for S&R": "RandomNoise"
},
"widgets_values": [
0,
"randomize"
]
},
{
"id": 130,
"type": "CreateVideo",
"pos": [
790,
5090
],
"size": [
270,
110
],
"flags": {},
"order": 21,
"mode": 0,
"inputs": [
{
"name": "images",
"type": "IMAGE",
"link": 290
},
{
"name": "audio",
"shape": 7,
"type": "AUDIO",
"link": 259
}
],
"outputs": [
{
"name": "VIDEO",
"type": "VIDEO",
"links": [
260
]
}
],
"properties": {
"Node name for S&R": "CreateVideo"
},
"widgets_values": [
24,
8
]
},
{
"id": 131,
"type": "ComfyMathExpression",
"pos": [
-1450,
5940
],
"size": [
225,
0
],
"flags": {
"collapsed": true
},
"order": 15,
"mode": 0,
"inputs": [
{
"label": "a",
"name": "values.a",
"type": "FLOAT,INT,BOOLEAN",
"link": 261
},
{
"label": "b",
"name": "values.b",
"shape": 7,
"type": "FLOAT,INT,BOOLEAN",
"link": null
}
],
"outputs": [
{
"name": "FLOAT",
"type": "FLOAT",
"links": []
},
{
"name": "INT",
"type": "INT",
"links": [
275
]
},
{
"name": "BOOL",
"type": "BOOLEAN",
"links": []
}
],
"properties": {
"Node name for S&R": "ComfyMathExpression"
},
"widgets_values": [
"max(5, round(a * 24)) + (5 - (max(5, round(a * 24)) % 17)) % 17"
]
},
{
"id": 132,
"type": "PrimitiveFloat",
"pos": [
-1480,
5830
],
"size": [
270,
70
],
"flags": {},
"order": 9,
"mode": 0,
"inputs": [],
"outputs": [
{
"name": "FLOAT",
"type": "FLOAT",
"links": [
261
]
}
],
"title": "Float (Duration)",
"properties": {
"Node name for S&R": "PrimitiveFloat"
},
"widgets_values": [
10.0
],
"color": "#322",
"bgcolor": "#533"
},
{
"id": 136,
"type": "MiniMaxH3ReferenceToVideo",
"pos": [
-750,
4940
],
"size": [
410,
530
],
"flags": {},
"order": 16,
"mode": 0,
"inputs": [
{
"name": "clip",
"type": "CLIP",
"link": 272
},
{
"name": "vae",
"type": "VAE",
"link": 273
},
{
"name": "audio_vae",
"type": "VAE",
"link": 274
},
{
"label": "ref_image_0",
"name": "ref_images.ref_image_0",
"shape": 7,
"type": "IMAGE",
"link": 278
},
{
"label": "ref_image_1",
"name": "ref_images.ref_image_1",
"shape": 7,
"type": "IMAGE",
"link": 299
},
{
"label": "ref_image_2",
"name": "ref_images.ref_image_2",
"shape": 7,
"type": "IMAGE",
"link": null
},
{
"label": "ref_video_0",
"name": "ref_videos.ref_video_0",
"shape": 7,
"type": "IMAGE",
"link": null
},
{
"label": "ref_video_audio_0",
"name": "ref_video_audios.ref_video_audio_0",
"shape": 7,
"type": "AUDIO",
"link": null
},
{
"label": "ref_audio_0",
"name": "ref_audios.ref_audio_0",
"shape": 7,
"type": "AUDIO",
"link": null
},
{
"name": "prompt",
"type": "STRING",
"widget": {
"name": "prompt"
},
"link": 279
},
{
"name": "width",
"type": "INT",
"widget": {
"name": "width"
},
"link": 276
},
{
"name": "height",
"type": "INT",
"widget": {
"name": "height"
},
"link": 277
},
{
"name": "length",
"type": "INT",
"widget": {
"name": "length"
},
"link": 275
}
],
"outputs": [
{
"name": "positive",
"type": "CONDITIONING",
"links": [
270
]
},
{
"name": "LATENT",
"type": "LATENT",
"links": [
271
]
}
],
"properties": {
"Node name for S&R": "MiniMaxH3ReferenceToVideo"
},
"widgets_values": [
"",
1344,
768,
124,
"match"
]
},
{
"id": 137,
"type": "LoadImage",
"pos": [
-930,
5630
],
"size": [
290,
330
],
"flags": {},
"order": 10,
"mode": 0,
"inputs": [],
"outputs": [
{
"name": "IMAGE",
"type": "IMAGE",
"links": [
278
]
},
{
"name": "MASK",
"type": "MASK",
"links": null
}
],
"properties": {
"Node name for S&R": "LoadImage"
},
"widgets_values": [
"example_character.png",
"image"
]
},
{
"id": 138,
"type": "PrimitiveStringMultiline",
"pos": [
-1480,
6000
],
"size": [
370,
390
],
"flags": {},
"order": 11,
"mode": 0,
"inputs": [],
"outputs": [
{
"name": "STRING",
"type": "STRING",
"links": [
279
]
}
],
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