MiniMax-H3 INT8 FLF, R2V, Bridge & TTS Workflows Collection
Optimized ComfyUI workflows for MiniMax-H3, featuring INT8 inference, native Block Sparse Attention, Spectrum, Lightx2v LoRA, Turbo-LoRA, native Extend, Fun ControlNet Union V2V control, Face Refine, TTS, Latent Upscaler, Bridge, and Group Bypass.
Workflows
| Workflow | File | Description |
|---|---|---|
| First-Last-Frame (FLF) | MiniMax_int8_I2V-javanoYYMM.x.json |
FLF/I2V video generation with Extend, ControlNet Union V2V, and Latent Upscaler. |
| Reference-to-Video (R2V) | MiniMax_int8_R2V-javanoYYMM.x.json |
Reference-guided video generation with Reference LoRA, ControlNet Union V2V, Extend, and Latent Upscaler. |
| Bridge | MiniMax_int8_Bridge-javanoYYMM.x.json |
Generates a transition between Video A and Video B. |
| Face Refine | MiniMax_int8_FR-javanoYYMM.x.json |
Face refinement for generated video. |
| Text-to-Speech (TTS) | MiniMax_int8_TTS-javanoYYMM.x.json |
Fast audio-only speech generation. |
Base model:
Comfy-Org/MiniMax-H3
https://huggingface.co/Comfy-Org/MiniMax-H3
Features
INT8
- Reduced VRAM usage
- Faster inference
- Improved memory efficiency
Block Sparse Attention
The workflows use the native Block Sparse Attention node for optimized MiniMax-H3 attention processing.
Spectrum
ComfyUI-Spectrum-MiniMax-H3
https://github.com/xmarre/ComfyUI-Spectrum-MiniMax-H3
Optimized sampling and MiniMax-H3 inference acceleration.
Lightx2v LoRA
lightx2v/Minimax-h3-Turbo
https://huggingface.co/lightx2v/Minimax-h3-Turbo
Acceleration LoRA for reduced sampling steps.
Turbo-LoRA
MiniMax-H3-Turbo-Lora-ComfyUI
https://huggingface.co/drbaph/MiniMax-H3-Turbo-Lora-ComfyUI
Experimental low-step acceleration.
Native Extend
MiniMax-H3 supports native video extension for continuing existing video content.
Fun ControlNet Union
Integrated into the I2V and R2V workflows for V2V control.
Supported controls:
- OpenPose
- Canny
- Depth
Model:
Kijai/MiniMax-H3-experimental
https://huggingface.co/Kijai/MiniMax-H3-experimental/tree/main/controlnet
Available:
minimax_h3_fun_controlnet_union_pruned_bf16.safetensorsminimax_h3_fun_controlnet_union_pruned_int8_convrot.safetensors
Latent Upscaler
ComfyUI MiniMax-H3 Latent Upscaler
https://github.com/LBH-123-AI/Comfyui_Minimax_h3_latent_Upscaler
Integrated into I2V and R2V.
Low-resolution generation โ Latent Upscaling โ High-resolution decoding
Bridge
Generates an intermediate video between two existing clips:
Video A โ Generated Bridge โ Video B
Group Bypass
ComfyUI-Switchboard
https://github.com/Oratorian/ComfyUI-Switchboard
Used to enable or bypass optional workflow groups.
R2V Reference LoRA
Required for R2V:
minimax_h3_ref_lora_rank_256_bf16.safetensors
https://huggingface.co/Kijai/MiniMax-H3-experimental/tree/main/loras
Face Refine
ComfyUI-H3-FaceRefine
https://github.com/Carasibana/ComfyUI-H3-FaceRefine
Provides automatic face detection and refinement.
Text-to-Speech
MiniMax-H3 can generate audio only, bypassing video generation.
Workflow Details
First-Last-Frame (FLF)
MiniMax_int8_I2V-javanoYYMM.x.json
- First + Last Frame conditioning
- Fun ControlNet Union / V2V
- OpenPose / Canny / Depth control
- Native Extend
- Latent Upscaler
- Native Block Sparse Attention
- INT8
- Spectrum
- Lightx2v LoRA
- Optional Turbo-LoRA
- Group Bypass
Reference-to-Video (R2V)
MiniMax_int8_R2V-javanoYYMM.x.json
- Reference image conditioning
- Reference LoRA
- Fun ControlNet Union / V2V
- OpenPose / Canny / Depth control
- Native Extend
- Latent Upscaler
- Native Block Sparse Attention
- INT8
- Spectrum
- Lightx2v LoRA
- Optional Turbo-LoRA
- Group Bypass
Required LoRA:
minimax_h3_ref_lora_rank_256_bf16.safetensors
Bridge
MiniMax_int8_Bridge-javanoYYMM.x.json
Video A โ Generated Bridge โ Video B
Creates a generated transition between two existing video clips.
Face Refine
MiniMax_int8_FR-javanoYYMM.x.json
Uses ComfyUI-H3-FaceRefine for automatic face refinement.
Text-to-Speech
MiniMax_int8_TTS-javanoYYMM.x.json
Audio-only MiniMax-H3 TTS workflow.
Required Custom Nodes
- ComfyUI-Spectrum-MiniMax-H3
https://github.com/xmarre/ComfyUI-Spectrum-MiniMax-H3 - ComfyUI-H3-FaceRefine
https://github.com/Carasibana/ComfyUI-H3-FaceRefine - ComfyUI MiniMax-H3 Latent Upscaler
https://github.com/LBH-123-AI/Comfyui_Minimax_h3_latent_Upscaler - ComfyUI-Switchboard
https://github.com/Oratorian/ComfyUI-Switchboard
Block Sparse Attention is provided by the native ComfyUI node and requires no additional custom node.
Required Models
Main Model
Comfy-Org/MiniMax-H3
https://huggingface.co/Comfy-Org/MiniMax-H3
R2V Reference LoRA
minimax_h3_ref_lora_rank_256_bf16.safetensors
https://huggingface.co/Kijai/MiniMax-H3-experimental/tree/main/loras
Fun ControlNet Union
Kijai/MiniMax-H3-experimental
https://huggingface.co/Kijai/MiniMax-H3-experimental/tree/main/controlnet
minimax_h3_fun_controlnet_union_pruned_bf16.safetensorsminimax_h3_fun_controlnet_union_pruned_int8_convrot.safetensors
Lightx2v LoRA
lightx2v/Minimax-h3-Turbo
https://huggingface.co/lightx2v/Minimax-h3-Turbo
Optional Turbo-LoRA
MiniMax-H3-Turbo-Lora-ComfyUI
https://huggingface.co/drbaph/MiniMax-H3-Turbo-Lora-ComfyUI
Latent Upscaler
Minimax_h3_latent_Upscaler
https://huggingface.co/LBH-123-AI/Minimax_h3_latent_Upscaler
Installation
- Update ComfyUI and ComfyUI-Manager.
- Install the required custom nodes.
- Download the MiniMax-H3 model.
- Download the required R2V Reference LoRA if using R2V.
- Download a Fun ControlNet Union model if using V2V.
- Download Lightx2v LoRA and/or Turbo-LoRA if required.
- Download the Latent Upscaler model if using Latent Upscaler.
- Load the desired workflow.
Workflow files:
MiniMax_int8_I2V-javanoYYMM.x.jsonMiniMax_int8_R2V-javanoYYMM.x.jsonMiniMax_int8_Bridge-javanoYYMM.x.jsonMiniMax_int8_FR-javanoYYMM.x.jsonMiniMax_int8_TTS-javanoYYMM.x.json
Notes
- FLF = First-Last-Frame.
- R2V = Reference-to-Video.
- V2V = Video-to-Video.
- FR = Face Refine.
- TTS = Text-to-Speech.
- Extend is natively supported by MiniMax-H3.
- Native Block Sparse Attention is integrated into the I2V and R2V workflows.
- Fun ControlNet Union is integrated into the I2V and R2V workflows.
- The R2V workflow requires
minimax_h3_ref_lora_rank_256_bf16.safetensors. - V2V requires a compatible Fun ControlNet Union model.
- TTS outputs audio only.
- Latent Upscaling uses low-resolution generation followed by latent upscaling.
- ComfyUI-Switchboard controls Group Bypass.
- Turbo-LoRA is experimental.
- Combining multiple acceleration methods may require tuning sampling steps and LoRA weights.
- If audio is not generated correctly, try lowering
shift_audioin theModelSamplingMiniMaxH3node inside theINT8 Model Loadersubgraph from 4.00 to 3.00.
Motion Context Compatibility Note
The ComfyUI-H3-Motion-Context custom node is no longer required by the latest workflows.
Starting with:
- I2V: 2608.9
- R2V: 2608.16
Motion Context has been replaced with the native MiniMaxH3AddGuide node.
Additional Resources
MiniMax-H3
https://huggingface.co/Comfy-Org/MiniMax-H3
R2V Reference LoRA
https://huggingface.co/Kijai/MiniMax-H3-experimental/tree/main/loras
Fun ControlNet Union
https://huggingface.co/Kijai/MiniMax-H3-experimental/tree/main/controlnet
Spectrum MiniMax-H3
https://github.com/xmarre/ComfyUI-Spectrum-MiniMax-H3
H3 Face Refine
https://github.com/Carasibana/ComfyUI-H3-FaceRefine
Lightx2v LoRA
https://huggingface.co/lightx2v/Minimax-h3-Turbo
MiniMax-H3-Turbo-Lora-ComfyUI
https://huggingface.co/drbaph/MiniMax-H3-Turbo-Lora-ComfyUI
MiniMax-H3 Latent Upscaler
https://github.com/LBH-123-AI/Comfyui_Minimax_h3_latent_Upscaler
MiniMax-H3 Latent Upscaler Model
https://huggingface.co/LBH-123-AI/Minimax_h3_latent_Upscaler
ComfyUI-Switchboard
https://github.com/Oratorian/ComfyUI-Switchboard
License
Please follow the respective licenses of MiniMax-H3, ComfyUI, the listed custom nodes, LoRAs, Fun ControlNet Union models, the Latent Upscaler, and other third-party components used by these workflows.
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