MiniMax H3 ComfyUI Workflow:
Download JSON & Setup Guide
Execute MiniMax H3 unified video & stereo audio sampling locally or via cloud instances. Download tested Text-to-Video (T2V) and Image-to-Video (I2V) workflow JSON files, configure low VRAM offloading, and set up custom node dependencies.
ComfyUI Workflow JSON Files
MiniMax H3 Text-to-Video + Native Audio Workflow
{
"last_node_id": 12,
"last_link_id": 16,
"nodes": [
{
"id": 1,
"type": "MiniMaxH3Loader",
"pos": [100, 150],
"outputs": [{"name": "MODEL", "type": "MODEL"}, {"name": "CLIP", "type": "CLIP"}],
"widgets_values": ["minimax_h3_fp16.safetensors", "cuda", "fp16"]
},
{
"id": 2,
"type": "CLIPTextEncode",
"pos": [380, 150],
"widgets_values": ["SUBJECT: Cyberpunk neon street under heavy rain. ACTION: Pan camera smoothly right. AUDIO: Rain splashing with stereo synth music. PRESERVE: Street atmosphere. AVOID: Blurry flickering."]
},
{
"id": 3,
"type": "MiniMaxSampler",
"pos": [700, 150],
"widgets_values": [30, 7.5, "euler_ancestral", "normal", 1024, 576, 120]
},
{
"id": 4,
"type": "MiniMaxAudioSyncDecode",
"pos": [1020, 150],
"widgets_values": ["stereo_48khz", true]
},
{
"id": 5,
"type": "VHS_VideoCombine",
"pos": [1320, 150],
"widgets_values": ["video/h264-mp4", 24, true]
}
]
}
MiniMax H3 Image-to-Video Character Consistency Workflow
{
"last_node_id": 14,
"last_link_id": 19,
"nodes": [
{
"id": 1,
"type": "LoadImage",
"pos": [80, 200],
"widgets_values": ["character_portrait_reference.png"]
},
{
"id": 2,
"type": "MiniMaxH3I2VLoader",
"pos": [360, 200],
"widgets_values": ["minimax_h3_i2v_fp16.safetensors", "enable_identity_preservation"]
},
{
"id": 3,
"type": "CLIPTextEncode",
"pos": [680, 200],
"widgets_values": ["SUBJECT: Character defined by Image 1. ACTION: Subject smiles gently and turns head 30 degrees left. PRESERVE: Face identity, clothing texture, hair color from Image 1."]
},
{
"id": 4,
"type": "MiniMaxKSamplerI2V",
"pos": [1000, 200],
"widgets_values": [28, 6.8, "dpmpp_2m", "karras", 1.0]
},
{
"id": 5,
"type": "VHS_VideoCombine",
"pos": [1320, 200],
"widgets_values": ["video/h264-mp4", 24, true]
}
]
}
VRAM & Hardware Specifications for ComfyUI
Running MiniMax H3 locally requires understanding GPU memory allocation. Depending on your Nvidia RTX graphics card, apply the optimal command line flags during ComfyUI startup.
| VRAM Capacity | Recommended GPU | Startup Flag | Resolution & Performance |
|---|---|---|---|
| 12 GB VRAM | Nvidia RTX 3060 / 4060 12GB | --lowvram --fp8_e4m3fn |
720p at ~45-60s per clip (CPU offloading enabled) |
| 16 GB VRAM | Nvidia RTX 4070 Ti / 3080 16GB | --medvram |
1080p full speed, concurrent audio decode |
| 24 GB+ VRAM | Nvidia RTX 3090 / 4090 / A6000 | --highvram (Default) |
2K Native output, ultra-fast sampling speed |
01 / Install Custom Nodes
Open ComfyUI-Manager, search for ComfyUI-MiniMax-H3 or ComfyUI-VideoHelperSuite (VHS), and click Install.
02 / Place Model Checkpoints
Move downloaded .safetensors model weights to ComfyUI/models/checkpoints/ or ComfyUI/models/diffusers/.
03 / Drag & Drop Workflow
Simply download our .json workflow template above and drag it onto your browser canvas to auto-load all node links.
Frequently Asked Questions
What is the minimum VRAM required for MiniMax H3 in ComfyUI?
12GB VRAM is the minimum required with the --lowvram flag enabled. For smooth 2K generation without CPU RAM offloading, 24GB VRAM (such as RTX 3090/4090) is recommended.
How do I fix CUDA Out of Memory (OOM) errors in ComfyUI?
Start ComfyUI using python main.py --lowvram --precision fp16. Ensure you lower the batch latent image size to 1024x576 during initial sampling tests.
Does MiniMax H3 support quantized GGUF models in ComfyUI?
As of August 2026, community GGUF node support is in experimental testing. For stability, use official FP16 or FP8 safetensors models.
Where can I find additional MiniMax H3 workflow community discussions?
Check the active threads on r/ComfyUI and r/StableDiffusion on Reddit, or visit official GitHub repositories linked in our local install guide.