MiniMax H3 ComfyUI Guide

Run MiniMax H3 locally in ComfyUI with native text-to-video, image-to-video, first/last-frame, and reference-to-video workflows. This guide shows exactly which H3 model files you need, where to place them, which workflow to choose, and why local H3-Base generation is different from MiniMax's complete 2K pipeline.

Last verified: August 8, 2026

Quick Answer

MiniMax H3 runs natively in ComfyUI 0.30.0 or later. Use the FL2VA diffusion weights for text-to-video and image-to-video, and use the separate Ref2VA diffusion weights for reference-to-video. Both workflow families use the same Qwen3-VL text encoder, MiniMax H3 video VAE, and MiniMax H3 audio VAE. For a full-quality 16:9 H3-Base workflow, ComfyUI recommends approximately 1344 × 768 with the resolution multiple set to 32. Local H3-Base is a 768p workflow; MiniMax's complete 2K pipeline additionally uses H3-Context-IR and H3-Regenerate-2K.

MiniMax H3 ComfyUI at a Glance

MiniMax H3 ComfyUI settings at a glance
SettingMiniMax H3 ComfyUI
Minimum ComfyUI version0.30.0 or later
Native workflow templatesT2V, I2V, R2V
T2V diffusion modelminimax_h3_fl2va_pruned_int8_convrot
I2V diffusion modelminimax_h3_fl2va_pruned_int8_convrot
R2V diffusion modelminimax_h3_ref2va_pruned_int8_convrot
Text encoderqwen3vl_32b_minimax_h3_nvfp4_awq
Video VAEminimax_h3_video_vae_fp16
Audio VAEminimax_h3_audio_vae_fp32
Native/base short edge768 px
Recommended full-quality 16:9 base canvasAbout 1344 × 768
Resolution multiple32
Frame rate24 FPS
Output audio32 kHz stereo
Model output duration4–15 seconds
Open-weight workflowH3-Base
Complete 2K workflowH3-Context-IR + H3-Base + H3-Regenerate-2K

The most common setup mistake is downloading the wrong diffusion weights. FL2VA and Ref2VA are not interchangeable: T2V and I2V use FL2VA, while R2V uses Ref2VA.

Which MiniMax H3 ComfyUI Workflow Should You Use?

Choose the workflow from the type of input you already have, not from the visual style you want to create.

Which MiniMax H3 workflow to use
Your input or goalUse this workflowDiffusion weights
Text prompt onlyT2VFL2VA
One starting imageI2VFL2VA
One ending imageI2V / last-frame modeFL2VA
First and last imagesFirst-and-last-frame I2VFL2VA
Character identity referencesR2VRef2VA
Style referencesR2VRef2VA
Motion reference videoR2VRef2VA
Camera movement referenceR2VRef2VA
Voice or audio referenceR2VRef2VA

If you only create text-to-video or image-to-video generations, you do not need to download the Ref2VA diffusion model. If you only use reference-to-video, you need Ref2VA; FL2VA is only necessary if you also want T2V or I2V.

MiniMax3.org setup note

Download by workflow family instead of downloading every H3 diffusion checkpoint. The text encoder and both VAEs are shared, so users who later add R2V only need to add the Ref2VA diffusion weights rather than duplicating the shared components.

How to Install MiniMax H3 in ComfyUI

MiniMax H3 is supported through native ComfyUI workflows, so a basic H3 setup does not require a third-party H3 custom node.

  1. Update ComfyUI to version 0.30.0 or later.
  2. Open ComfyUI and go to Template Library.
  3. Choose Video.
  4. Search for MiniMax H3.
  5. Choose MiniMax H3 T2V, MiniMax H3 I2V, or MiniMax H3 R2V.
  6. Download the model files required by that workflow.
  7. Place each model in the folder shown below.
  8. Restart ComfyUI or refresh the available model list if the new files are not detected.
  9. Load the workflow and confirm that every loader points to the correct H3 file.
  10. Set the aspect ratio, megapixel target, duration, prompt, and references.
  11. Queue the workflow.

You do not need to install Sage Attention to run H3. It is an optional performance optimization, not a basic H3 dependency.

MiniMax H3 T2V and I2V Model Files

Text-to-video and image-to-video use the same FL2VA diffusion model. The difference between T2V and I2V is the conditioning input, not a different set of H3 diffusion weights.

Diffusion Model

minimax_h3_fl2va_pruned_int8_convrot.safetensors

Folder: ComfyUI/models/diffusion_models/

Text Encoder

qwen3vl_32b_minimax_h3_nvfp4_awq.safetensors

Folder: ComfyUI/models/text_encoders/

Video VAE

minimax_h3_video_vae_fp16.safetensors

Folder: ComfyUI/models/vae/

Audio VAE

minimax_h3_audio_vae_fp32.safetensors

Folder: ComfyUI/models/vae/

Directory tree

ComfyUI/
└── models/
    ├── diffusion_models/
    │   └── minimax_h3_fl2va_pruned_int8_convrot.safetensors
    ├── text_encoders/
    │   └── qwen3vl_32b_minimax_h3_nvfp4_awq.safetensors
    └── vae/
        ├── minimax_h3_video_vae_fp16.safetensors
        └── minimax_h3_audio_vae_fp32.safetensors

If T2V or I2V cannot find the H3 diffusion model, first confirm that the FL2VA safetensors file is inside models/diffusion_models rather than models/checkpoints.

Want every H3 download in one place? See the Download MiniMax H3 guide.

MiniMax H3 Reference-to-Video Model Files

Reference-to-video uses a different diffusion model from T2V and I2V. Replace the FL2VA diffusion weights with Ref2VA when the workflow needs reference images, reference videos, reference audio, character identity, motion, camera movement, or voice conditioning.

Diffusion Model

minimax_h3_ref2va_pruned_int8_convrot.safetensors

Folder: ComfyUI/models/diffusion_models/

Shared files

  • qwen3vl_32b_minimax_h3_nvfp4_awq.safetensors
  • minimax_h3_video_vae_fp16.safetensors
  • minimax_h3_audio_vae_fp32.safetensors

Directory tree

ComfyUI/
└── models/
    ├── diffusion_models/
    │   └── minimax_h3_ref2va_pruned_int8_convrot.safetensors
    ├── text_encoders/
    │   └── qwen3vl_32b_minimax_h3_nvfp4_awq.safetensors
    └── vae/
        ├── minimax_h3_video_vae_fp16.safetensors
        └── minimax_h3_audio_vae_fp32.safetensors

Do not download both FL2VA and Ref2VA diffusion weights unless you actually plan to use both workflow families.

FL2VA vs Ref2VA

FL2VA versus Ref2VA capabilities
CapabilityFL2VARef2VA
Text-only generationYesNot required
First-frame image-to-videoYesNot its primary purpose
Last-frame conditioningYesNot its primary purpose
First + last frameYesNot required
Character identity referenceNo dedicated reference workflowYes
Reference image collectionNo dedicated reference workflowYes
Reference videoNoYes
Motion referenceNoYes
Camera movement referenceNoYes
Standalone reference audio as only inputNoNo
Audio reference with image/video contextNoYes
Generated native audioYesYes

FL2VA answers "how should the video begin or end?" Ref2VA answers "what identity, style, motion, camera behavior, or voice should the new video borrow from reference material?"

Best Resolution Settings for MiniMax H3 in ComfyUI

ComfyUI's native H3 workflows use a Resolution Selector with Aspect Ratio, Megapixels, and Multiple controls.

Aspect Ratio

Choose the composition required by the final video. Common choices include 16:9 for landscape video, 9:16 for vertical video, and 1:1 for square output.

Megapixels

The megapixel value controls the approximate total frame size. ComfyUI's default template may use a smaller preview value. For full-quality 16:9 H3-Base generation, the official ComfyUI guide recommends about 1.0 megapixel, producing approximately 1344 × 768.

Multiple

Keep Multiple at 32. The H3 resolution grid rounds width and height to multiples of 32.

Recommended 16:9 H3-Base starting point: approximately 1344 × 768, Multiple = 32.

MiniMax H3 Duration and Frame Rate

MiniMax H3 produces video at 24 FPS and supports output durations from 4 to 15 seconds. In the native ComfyUI workflow, the duration control maps the requested duration onto H3's internal 17-frame-per-block grid.

For normal users, choose the intended duration in the workflow UI and let the native H3 node handle the frame-grid conversion. Do not manually calculate frame counts unless you are modifying the workflow at node level.

Can MiniMax H3 Run 2K Completely Locally?

Not with the complete official MiniMax H3 2K pipeline as currently released. The full H3 system has three stages: H3-Context-IR, H3-Base, and H3-Regenerate-2K. H3-Base is the open-weight generation model and produces the 768p base result. H3-Context-IR is a hosted preprocessing and orchestration system. H3-Regenerate-2K feeds the base result and original context back into H3 to regenerate a 2K result, and MiniMax states that this regeneration module is not yet open-sourced.

This means that running H3-Base locally in ComfyUI is not the same as reproducing MiniMax's complete official 2K pipeline offline. The current open-weight ComfyUI path should be treated as the local H3-Base workflow, while the complete official 2K validation workflow still uses MiniMax-hosted components or APIs.

Complete MiniMax H3 pipeline

Multimodal input
        ↓
H3-Context-IR
        ↓
H3-Base
        ↓
768p audiovisual result
        ↓
H3-Regenerate-2K
        ↓
2K audiovisual result

This distinction matters when comparing a local H3 result with a 2K result produced through MiniMax's hosted H3 workflow.

MiniMax H3 Reference Limits

MiniMax H3 reference limits
Reference inputOfficial H3 limit
ImagesUp to 9
VideosUp to 3
Length of each reference video2–15 seconds
Total reference video durationUp to 15 seconds
Standalone audio clipsUp to 3
Length of each audio clip2–15 seconds
Total standalone audio durationUp to 15 seconds
Maximum mixed reference files12

Reference audio cannot be the only input to Ref2VA. MiniMax requires audio references to be accompanied by image or video input.

These are H3 model limits. A third-party web interface may enforce lower upload limits.

How to Assign References in H3 R2V

H3 reference inputs are identified in connection order with labels such as <Picture 1>, <Video 1>, and <Audio 1>. Do not simply attach references and expect H3 to infer the role of every file. State what each reference should control.

<Picture 1> → character identity
<Picture 2> → clothing and visual style
<Video 1>   → body motion and camera movement
<Audio 1>   → voice timbre

Use <Picture 1> for the main character's facial identity and hairstyle. Use <Video 1> only for the walking motion and handheld camera movement. Use <Audio 1> as the voice-timbre reference. Keep the new scene set inside a rainy neon-lit train station.

MiniMax3.org practical rule

Give each reference one explicit job whenever possible. This makes the intended transfer relationship easier to understand than a generic instruction such as "use all references."

ref_image_size: match vs max

The native R2V workflow exposes a ref_image_size choice. Use match when you want reference images scaled toward the generation resolution for faster processing. Use max when identity detail matters more: ComfyUI's H3 documentation states that max can preserve reference images up to a 2048-pixel short edge, at the cost of additional processing.

Decision

Start with match for general testing. Use max when the visual identity carried by the reference image is more important than speed.

MiniMax3.org practical recommendation

Optional: Speed Up H3 with Sage Attention

Sage Attention is optional. The standard MiniMax H3 ComfyUI templates work without it.

ComfyUI's official H3 documentation states that Sage Attention can roughly double generation speed with minimal quality loss in its workflow setup. The improvement is not guaranteed on every machine, and H3 layers using unsupported dtypes can automatically fall back to standard PyTorch attention.

Do not install Sage Attention until the standard H3 workflow works correctly. First confirm that the model files, folders, and native workflow are functioning; then optimize performance.

Common MiniMax H3 ComfyUI Problems

MiniMax H3 model not found

Confirm the model type and directory. FL2VA or Ref2VA diffusion safetensors belong in ComfyUI/models/diffusion_models, the Qwen3-VL encoder belongs in ComfyUI/models/text_encoders, and the two H3 VAE files belong in ComfyUI/models/vae.

T2V loads the wrong model

Use FL2VA for T2V and I2V. Ref2VA is the diffusion model for reference-driven generation.

Reference inputs have weak influence

Reference files should have explicit roles. Tell H3 whether each reference controls identity, style, motion, camera behavior, or voice instead of describing all references as one undifferentiated group.

The output resolution is unexpected

Check Aspect Ratio, Megapixels, and Multiple in the Resolution Selector. Keep Multiple at 32. For a 16:9 full-quality H3-Base starting point, use approximately 1.0 megapixel, or about 1344 × 768.

I expected local 2K

The local open-weight workflow is H3-Base. MiniMax's complete 2K pipeline additionally relies on H3-Context-IR and H3-Regenerate-2K.

MiniMax H3 ComfyUI vs Online Generator

MiniMax H3 ComfyUI versus online generator
NeedComfyUIMiniMax3.org Online
Download model filesYesNo
Configure local model foldersYesNo
Local GPU environmentYesNo local GPU setup
Node-level workflow controlYesSimplified browser workflow
Experiment with open-weight H3-BaseYesNot a local workflow
Best fitLocal control and workflow experimentationFast browser access

Use ComfyUI when you want direct control over the open-weight H3-Base workflow and node graph. Use an online generator when you want to generate without managing model files, Python environments, CUDA dependencies, or local model storage.

MiniMax H3 ComfyUI FAQ

Does MiniMax H3 work in ComfyUI?

Yes. MiniMax H3 has native ComfyUI workflows for text-to-video, image-to-video, and reference-to-video. The current official guide requires ComfyUI 0.30.0 or later.

Which MiniMax H3 model do I need for text-to-video?

Use the FL2VA diffusion model for MiniMax H3 text-to-video. The ComfyUI-optimized file is minimax_h3_fl2va_pruned_int8_convrot.safetensors.

Which MiniMax H3 model do I need for image-to-video?

Use FL2VA. The same FL2VA diffusion weights handle text-to-video and first-frame, last-frame, or first-and-last-frame image conditioning.

Which MiniMax H3 model do I need for reference-to-video?

Use Ref2VA. The ComfyUI-optimized diffusion file is minimax_h3_ref2va_pruned_int8_convrot.safetensors.

Do I need both FL2VA and Ref2VA?

No. Download both only if you need both workflow families. T2V and I2V use FL2VA; reference-driven R2V uses Ref2VA.

What resolution should I use for MiniMax H3 in ComfyUI?

For a full-quality 16:9 H3-Base workflow, ComfyUI recommends approximately 1344 × 768, using about 1.0 megapixel and keeping the resolution multiple at 32.

Can MiniMax H3 generate audio in ComfyUI?

Yes. H3 jointly generates video and native stereo audio. The model specification uses 32 kHz stereo audio output.

Can MiniMax H3 run 2K completely locally?

The open-weight H3-Base workflow is a 768p base workflow. MiniMax's complete official 2K system also uses H3-Context-IR and H3-Regenerate-2K; MiniMax currently states that the Regenerate-2K module is not yet open-sourced.

Related MiniMax H3 Guides

Official Sources

MiniMax H3 Official Model Card

Primary source for H3 architecture, FL2VA and Ref2VA specifications, output limits, local H3-Base deployment, and the full 2K workflow.

ComfyUI Official MiniMax H3 Guide

Primary source for native ComfyUI workflows, model filenames, model directories, resolution settings, R2V behavior, and Sage Attention guidance.

Comfy-Org MiniMax H3 Models

ComfyUI-compatible MiniMax H3 model files.