MiniMax-H3-Turbo (FL2VA 4-step v1.0 768p GGUF Quantizations)
This repository provides GGUF quantized versions and ComfyUI workflows for the FL2VA Turbo 4-step v1.0 768p variant of MiniMax-H3-Turbo. MiniMax H3 is an omni-modal generative system supporting unified text, image, video, and audio generation with native stereo audio.
The Turbo distillation compresses inference down to 4 steps (NFE) at 768p resolution with shifted schedules.
Full Merged Checkpoints: These GGUF files contain full merged weights (the base model + distilled turbo weights merged directly into a standalone model checkpoint), not separate LoRA adapters. You load them directly as diffusion models in ComfyUI without needing additional base weights or LoRA loaders.
Model Specifications
| Parameter | Specification |
|---|---|
| Distilled Variant | FL2VA Turbo 4-step v1.0 768p |
| Tasks | FL2VA / I2VA / T2VA (First/Last Frame & Text to Audio-Video) |
| Training Resolution | 768p (1344×768) |
| Training Shifts (Video / Audio) | 6 / 3 |
| Distillation Steps (NFE) | 4 |
| Recommended Inference Steps (NFE) | 4 |
| Frame Rate | 24 FPS |
| Audio Output | 32 kHz stereo |
Repository Contents
GGUF Models
minimax_h3_fl2v_turbo_4step_v1.0_768p_Q4_0.gguf(11.4 GB)minimax_h3_fl2v_turbo_4step_v1.0_768p_Q8_0.gguf(21.4 GB)minimax_h3_fl2v_turbo_4step_v1.0_768p_Q8_CR.gguf(20.2 GB)
Quantization Formats
Q8_CRis specifically created to work with the molbal/ComfyUI-GGUF ComfyUI custom nodes.
| Format | Quality | Notes |
|---|---|---|
| Q4_0 | Lower | Standard 4-bit GGUF quantization. |
| Q8_0 | High | Standard 8-bit GGUF quantization. |
| Q8_CR | High (≈ Q8_0) | Q8_0 quality with INT8 ConvRot weights. |
ComfyUI Usage & Node Requirements
To run these GGUF models in ComfyUI, install the following custom node packages:
- GGUF Loader Node (one of the following):
- ComfyUI-GGUF (GitHub) or install via ComfyUI Node Registry: comfyui-gguf-reboot
- Used to load the quantized
.ggufUNet/diffusion models.
- MiniMax H3 Turbo Sampler (one of the following):
- ComfyUI-MiniMax-H3-Turbo (GitHub) or install via ComfyUI Node Registry: comfyui-minimax-h3-turbo
- Provides the dedicated Turbo sampling schedules and shift calculations for 4-step generation.
Model Placement
Place the downloaded GGUF files in your ComfyUI models directory:
ComfyUI/models/diffusion_models/minimax_h3_fl2v_turbo_4step_v1.0_768p_Q8_CR.gguf
(or ComfyUI/models/unet/ depending on your GGUF loader configuration)
Shift & Sampling Schedule
For NFE = 4, video shift = 6, and audio shift = 3:
- Define unshifted evaluation points: $q_i = \frac{4 - i}{4}$ for $i = 0, 1, 2, 3 \rightarrow [1.0, 0.75, 0.5, 0.25]$
- Recommended inference step count: 4 steps.
Supported Input Modes (FL2VA)
- Text-to-Audio-Video (T2VA): No image input connected.
- Image-to-Audio-Video (I2VA): One image connected to
first_frame. - First-and-Last-Frame-to-Audio-Video (FL2VA): Two images connected to
first_frameandlast_frame.
ComfyUI Workflows
Example workflows are provided in the workflows/ directory:
workflows/minimax_h3_t2v-turbo-gguf.json— Text-to-Audio-Video (T2VA) Turbo workflow.workflows/minimax_h3_i2v-turbo-gguf.json— Image-to-Audio-Video (I2VA / FL2VA) Turbo workflow.
License
MiniMax H3 is released under the MiniMax H3 Community License Agreement.
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Model tree for molbal/MiniMax-H3-Turbo-GGUF
Base model
MiniMaxAI/MiniMax-H3