MiniMax-H3-Turbo-Lora-ComfyUI

MiniMax-H3 Turbo 4-Step — ComfyUI Pruned-Model LoRAs

This repository contains third-party ComfyUI compatibility conversions of the original MiniMax-H3 Turbo LoRA — 4-step audio-video generation preview created by larryvrh.

It also includes two further-trained checkpoint-500 variants in the same pruned-model ComfyUI format.

These LoRAs are intended for the pruned/curve-form MiniMax-H3 checkpoint used by ComfyUI.

also check https://github.com/Larryvrh/ComfyUI-MiniMax-H3-Turbo

ComfyUI Test Output

<video src="https://huggingface.co/drbaph/MiniMax-H3-Turbo-Lora-ComfyUI/resolve/main/assets/MiniMax_H3_00060-audio.mp4" controls loop width="100%"> </video>

Download the ComfyUI workflow

Original Project

The original LoRA weights, training work, four-step distillation method, dual video/audio sampling implementation, documentation and source files were created and released by larryvrh:

Original repository:
larryvrh/MiniMax-H3-Turbo-Lora

I did not train, distill or create the original Turbo LoRA weights. This repository provides modified compatibility versions intended to allow the compatible LoRA adapters to load with ComfyUI's built-in MiniMax-H3 LoRA loader when using the pruned/curve-form model.

Full credit for the original MiniMax-H3 Turbo LoRA and its distillation method belongs to larryvrh.

Included Files

The EMA and non-EMA files remain separate and contain different tensor values.

The original converted files preserve the initial preview weights, while the ckpt500 files provide the further-trained variants.

These are partial compatibility versions of the original full-model Turbo LoRAs for use with the pruned/curve-form MiniMax-H3 architecture.

Which File Should I Use?

For the further-trained weights, start with:

minimax_h3_turbo_4step_ckpt500_pruned_comfyui.safetensors

Use the further-trained EMA variant for comparison:

minimax_h3_turbo_4step_ema_ckpt500_pruned_comfyui.safetensors

The two files without ckpt500 preserve the earlier preview versions:

• minimax_h3_turbo_4step_pruned_comfyui.safetensors
• minimax_h3_turbo_4step_ema_pruned_comfyui.safetensors

The non-EMA variants generally preserve a sharper response and stronger fast-motion behavior, while the EMA variants are intended to provide smoother time-averaged weights.

About the Original Turbo LoRA

The original MiniMax-H3 Turbo LoRA is an early preview checkpoint designed to generate joint video and synchronized stereo audio in approximately 4 sampling steps instead of the usual approximately 20 steps, providing roughly a 5× reduction in sampling wall-clock time.

The original author clearly states that the initial release is an unfinished preview checkpoint from an in-progress training run:

• it is under-trained;
• the initial EMA weights have not fully matured;
• quality is not representative of a completed run;
• it is intended as an early demonstration of the direction of the project.

The additional ckpt500 files in this repository are further-trained variants beyond that initial preview checkpoint.

Refer to the original repository for the original author's documentation, generation script, scheduler implementation and future updates:

larryvrh/MiniMax-H3-Turbo-Lora

Why This Conversion Was Made

The original Turbo LoRA files use tensor keys such as:

blocks.0.attn.qkv_proj.lora_A.weight

ComfyUI's built-in MiniMax-H3 LoRA resolver expects keys under the model namespace:

diffusion_model.blocks.0.attn.qkv_proj.lora_A.weight

Without that namespace, ComfyUI reports warnings such as:

[WARNING] lora key not loaded: blocks.0.attn.out_proj.lora_A.weight

The following namespace conversion was applied to the retained tensors:

• blocks.* → diffusion_model.blocks.*
• token_refiner.* → diffusion_model.token_refiner.*

The retained tensor values, BF16 dtype, tensor shapes, LoRA rank and A/B orientation were preserved.

Conversion Details

Each original full-model Turbo LoRA contained:

Each pruned-model compatibility conversion contains:

The pruned adapters were:

• 50 AdaLN projection pairs from blocks.0 through blocks.49;
• 1 AdaLN projection pair from final_layer.adaln_proj.linear.

The retained adapters include:

• all main-block attention adapters;
• all main-block MLP adapters;
• all token-refiner attention adapters;
• all token-refiner MLP adapters.

The retained attention, MLP and token-refiner tensors have dimensions compatible with the pruned/curve-form MiniMax-H3 checkpoint.

Validation

The converted LoRA structure was checked for:

• complete LoRA A/B adapter pairs;
• no orphan A or B tensors;
• retained keys using the diffusion_model.* namespace;
• no duplicated diffusion_model.diffusion_model.* prefixes;
• no incompatible adaln_proj tensors;
• preserved BF16 dtype;
• preserved tensor shapes;
• preserved LoRA ranks;
• separate EMA and non-EMA weights;
• no unresolved retained keys during ComfyUI loader-level validation.

The original source files were not overwritten.

The LoRAs have been tested working in ComfyUI with the following optional acceleration methods:

• SageAttention
• Sol Attention
• Gradient
• Spectrum

These acceleration methods are optional and are not included in this repository.

Important Limitation

These files are partial ComfyUI compatibility versions for the pruned/curve-form MiniMax-H3 checkpoint.

The further-trained ckpt500 variants improve upon the initial compatibility versions,

Usage

Place the LoRA files inside:

ComfyUI/models/loras/

Use them with the pruned/curve-form MiniMax-H3 checkpoint for ComfyUI.

Recommended further-trained version:

minimax_h3_turbo_4step_ckpt500_pruned_comfyui.safetensors

Further-trained EMA version:

minimax_h3_turbo_4step_ema_ckpt500_pruned_comfyui.safetensors

Suggested ComfyUI settings:

• Video sigma shift: 12
• Audio sigma shift: 4-6
• Steps tested working: 8–10 / 6-8 (ckpt500)
• Recommended sampler: res_multistep
• Suggested LoRA strength: 0.8–1.8
• A higher LoRA strength can generally be used with fewer sampling steps
• Use the same prompt, seed, resolution, model checkpoint, sampler and workflow when comparing files

Optional accelerators confirmed working:

• SageAttention
• Sol Attention
• Gradient
• Spectrum

Do not assume broken audio is caused by the LoRA before checking the sampler, scheduler and audio sigma-shift configuration.

Audio and Scheduler Notes

MiniMax-H3 generates video and synchronized audio as separate streams with different scheduling requirements.

The original author's standalone generation implementation uses a dual video/audio scheduling system specifically designed for ultra-low-step generation.

For this ComfyUI pruned-model version, the tested settings are:

• Video sigma shift: 12
• Audio sigma shift: 4-6
• Steps: 8–10 / 6-8 (ckpt500)
• Sampler: res_multistep

Incorrect audio scheduling may result in:

• blown-out audio;
• severe distortion;
• noise-like audio;
• unstable audio energy;
• completely broken audio.

For the original full-model settings, model files, resolution guidance, frame-count rules and dual-scheduler implementation, follow the original README:

larryvrh/MiniMax-H3-Turbo-Lora

Attribution

Original MiniMax-H3 Turbo LoRA author:

larryvrh

Original project:

MiniMax-H3-Turbo-Lora

This repository contains third-party, partial ComfyUI compatibility versions for the pruned/curve-form MiniMax-H3 checkpoint, including further-trained checkpoint-500 variants.

I do not claim authorship of:

• the original Turbo LoRA weights;
• the original LoRA training;
• the original distillation method;
• the original four-step sampling method;
• the original dual video/audio scheduler;
• the original generate.py;
• the original documentation;
• the MiniMax-H3 base model;
• the pruned/curve-form MiniMax-H3 checkpoint.

Please retain attribution to larryvrh and comply with the licences and terms of the original LoRA and MiniMax-H3 base model when using or redistributing these files.