What models and files do I need, and where do they go?

Download MiniMax H3 from Comfy-Org/MiniMax-H3. Place minimax_h3_video_vae_fp16.safetensors and minimax_h3_audio_vae_fp32.safetensors in models/vae. Ensure the H3 UNet and CLIP/text encoder weights are in the correct ComfyUI model folders (e.g., models/unet, models/clip). Restart ComfyUI so UNETLoader, CLIPLoader, and VAELoader can find them.

How long and how big can the output be?

This workflow targets about 15 seconds at up to 24fps and up to 2K resolution. Use ResolutionSelector’s 16:9 presets (multiples of 32) like 1152x640 or 1280x736. Higher resolutions, frame rates, or longer durations increase VRAM and time costs and may be unstable.

How do I improve identity/style matching from references?

Use a small set of high-quality references (start with 1–3). Make your primary identity image the first input. Keep reference videos short and representative of the motion/camera you want. Tight, explicit prompts plus moderate guidance (CFG ~4–7) often preserve references better.

Can I disable or replace audio?

Yes. If the workflow exposes a ComfySwitchNode on the audio path, set it to bypass VAEDecodeAudio. Alternatively, leave the audio inputs empty to generate minimal audio, then replace or mute in the CreateVideo stage or in post.

Is the result deterministic?

Set a fixed seed in RandomNoise to reproduce the same sampling trajectory with the same inputs and settings. Changing seed, references, resolution, or sampler parameters will change the output.

MiniMax H3: Reference to Video

This workflow demonstrates MiniMax H3’s reference-to-video generation in ComfyUI: you provide a text prompt plus up to nine reference images, three short reference videos, and three audio clips, and the model produces a single MP4 with native stereo audio in one pass. The MiniMaxH3ReferenceToVideo node is the core, fusing multi-modal context (identity, motion, camera, style, and voice) with your prompt to synthesize a ~15s clip at up to 2K resolution and 24fps.

Under the hood, the Switch Model and Settings group loads the MiniMax H3 model stack via UNETLoader and CLIPLoader, while KSamplerSelect, BasicScheduler, SamplerCustomAdvanced, and BasicGuider manage sampling behavior (seeded by RandomNoise for reproducibility). ResolutionSelector sets a 16:9 size aligned to multiples of 32, and ComfyMathExpression with PrimitiveFloat handles derived values like frame count from duration and fps. After generation, VAELoader provides both video and audio VAEs; VAEDecode reconstructs frames from video latents and VAEDecodeAudio reconstructs stereo waveforms. CreateVideo multiplexes frames and audio, and SaveVideo writes the final MP4. This makes the workflow practical for character-consistent animation, style-guided motion, and audio-synced content without separate TTS or sound design steps.

API

Use this workflow from code

Every Comfy workflow is a JSON graph. The payload below is this workflow, exactly as ComfyUI runs it — fetch it from the URL, keep it in version control, or load it in ComfyUI and run it node by node.

GET https://comfy.org/workflows/download/46a303cbccf9.json

Fetching workflow JSON…

Run it from Python or TypeScript with the Comfy SDK. The same code targets Comfy Cloud or a ComfyUI you host yourself — only the base URL changes.

# Install (beta)
pip install comfy-sdk        # Python
npm i @comfyorg/sdk          # TypeScript

# Run this workflow (Python)
from comfy_sdk import Comfy

client = Comfy(api_key="comfyui-...")
wf = client.workflows.from_file("workflow_api.json")
job = client.run(wf)
for output in job.get_outputs("<output-node-id>"):
    output.to_file(output.name)

The SDK takes a workflow in API format: open this workflow in ComfyUI and use File → Export Workflow (API). API access requires a Comfy Cloud plan with an API key. SDK docs · Get an API key

FAQ

Frequently Asked Questions

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