MiniMax-H3 INT8 ConvRot
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.
Contents
| 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.