MiniMax-H3 INT8 ConvRot

简体中文

Converted MiniMax-H3 weights for ComfyUI-RH-MiniMax-H3. This repository is a complete ComfyUI bundle: INT8 ConvRot DiT / text-encoder weights, merged VAEs, FL2VA / Ref2VA configs, and optional turbo LoRAs.

The same package is mirrored on ModelScope. Download from one source. The full snapshot is about 99 GiB; keep at least 120 GiB free.

File	Size	Role
`MiniMax-H3-FL2VA-int8_convrot.safetensors`	31.65 GiB	FL2VA / T2VA / V2A DiT
`MiniMax-H3-Ref2VA-int8_convrot.safetensors`	31.65 GiB	Ref2VA DiT
`qwen3-vl-32b-int8_convrot.safetensors`	25.28 GiB	Qwen3-VL text encoder
`MiniMax-H3-video_vae.safetensors`	4.85 GiB	Video VAE
`MiniMax-H3-audio_vae.safetensors`	0.56 GiB	Audio VAE
`minimax_h3_fl2v_turbo_4step_v0.1.safetensors`	1.29 GiB	Optional FL2VA / T2VA 4-step turbo
`minimax_h3_fl2v_turbo_4step_v1.0_768p_bf16.safetensors`	1.29 GiB	Optional FL2VA / T2VA 4-step turbo for 768p
`minimax_h3_fl2v_turbo_8step_v1.0_bf16.safetensors`	1.29 GiB	Optional FL2VA / T2VA 8-step turbo
`minimax_h3_ref2v_turbo_4step_v0.1_bf16.safetensors`	1.29 GiB	Optional Ref2VA 4-step turbo
`FL2VA/`	configs	FL2VA tokenizer, processor, and component configs
`Ref2VA/`	configs	Ref2VA tokenizer, processor, and component configs

Install into ComfyUI

ComfyUI/
└── models/
    └── MiniMax-H3-INT8-CONVROT/
        ├── MiniMax-H3-FL2VA-int8_convrot.safetensors
        ├── MiniMax-H3-Ref2VA-int8_convrot.safetensors
        ├── qwen3-vl-32b-int8_convrot.safetensors
        ├── MiniMax-H3-video_vae.safetensors
        ├── MiniMax-H3-audio_vae.safetensors
        ├── minimax_h3_fl2v_turbo_4step_v0.1.safetensors
        ├── minimax_h3_fl2v_turbo_4step_v1.0_768p_bf16.safetensors
        ├── minimax_h3_fl2v_turbo_8step_v1.0_bf16.safetensors
        ├── minimax_h3_ref2v_turbo_4step_v0.1_bf16.safetensors
        ├── FL2VA/
        └── Ref2VA/

cd /path/to/ComfyUI
python3 -m pip install -U huggingface_hub
hf download Gluttony10/MiniMax-H3-INT8-CONVROT \
  --local-dir ./models/MiniMax-H3-INT8-CONVROT

China users can use the ModelScope mirror:

cd /path/to/ComfyUI
python3 -m pip install -U modelscope
modelscope download --model Gluttony10/MiniMax-H3-INT8-CONVROT \
  --local_dir ./models/MiniMax-H3-INT8-CONVROT

Re-run the same command to resume or update an interrupted download. On a high-bandwidth machine with at least 64 GiB RAM, prefix hf download with HF_XET_HIGH_PERFORMANCE=1.

The plugin auto-detects this complete converted bundle. The legacy ComfyUI/models/MiniMax-H3 directory remains supported.

Optional Turbo LoRA

Select one turbo LoRA in the model loader for fewer sampling steps. Leave the LoRA empty to run the base converted weights.

File	Typical use
`minimax_h3_fl2v_turbo_4step_v0.1.safetensors`	FL2VA / T2VA 4-step turbo
`minimax_h3_fl2v_turbo_4step_v1.0_768p_bf16.safetensors`	FL2VA / T2VA 4-step turbo for 768p
`minimax_h3_fl2v_turbo_8step_v1.0_bf16.safetensors`	FL2VA / T2VA 8-step turbo
`minimax_h3_ref2v_turbo_4step_v0.1_bf16.safetensors`	Ref2VA 4-step turbo

Plugin

Install ComfyUI-RH-MiniMax-H3 and use the nodes under RunningHub/MiniMax H3:

Node	Purpose
`RHMiniMaxH3ModelLoader`	Load the FL2VA / Ref2VA DiT and optional LoRA
`RHMiniMaxH3TextEncoderLoader`	Load the Qwen3-VL text encoder
`RHMiniMaxH3VAELoader`	Load the video and audio VAEs
`RHMiniMaxH3VideoGen`	T2VA / FL2VA / V2A
`RHMiniMaxH3RefGen`	Ref2VA with ordered image, video, and audio references

Example workflows:

License

Converted weights follow the upstream MiniMax-H3 Community License. The ComfyUI plugin code is Apache-2.0.

Model tree for Gluttony10/MiniMax-H3-INT8-CONVROT

Base model

MiniMaxAI/MiniMax-H3

Finetuned

(75)

this model

Gluttony10
/

MiniMax-H3-INT8-CONVROT