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FastVideo/FastVideo-FastH3-4-step-Preview-v1-Dense-DataFree-MLX-INT8
FastVideo-FastH3-4-step-Preview-v1-Dense-DataFree-MLX-INT8 is a text-to-video model from FastVideo. Use it when you need video from a text prompt. It is set up for fastvideo. The card lists the license as other.
This repository contains the ready-to-run INT8 MLX DiT for FastVideo/FastVideo-FastH3-4-step-Preview-v1-Dense-DataFree. It avoids the local conversion step and its temporary unified-memory requirement on Apple silicon.
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Updated Sep 1, 2026
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From the Hugging Face model README
This repository contains the ready-to-run INT8 MLX DiT for FastVideo/FastVideo-FastH3-4-step-Preview-v1-Dense-DataFree. It avoids the local conversion step and its temporary unified-memory requirement on Apple silicon.
The checkpoint is the dense-attention, step-1000, four-forward Preview v1 model.
Quantization is affine, weight-only INT8 with group size 64. Activations
remain BF16. This export is dense-only and does not support --vsa.
| File | Purpose |
|---|---|
mlx_h3_dit.safetensors | Quantized H3 DiT weights, 20.07 GiB |
mlx_h3_dit.json | Architecture, quantization, and cached AdaLN schedule |
conversion_manifest.json | Source revision, converter version, validation, and checksums |
Weights SHA-256: 9821dd3386f13b5a4dc11ba12f37bf51aada227a319471c409066e79f7d2f59c
Download the shared H3 components once. They include the tokenizer, Qwen3-VL text encoder, video VAE, and audio VAE:
hf download FastVideo/FastVideo-FastH3-4-step-Preview-v1-Dense-DataFree \
--revision f624f08c6c279ab43534c003e556fc5b295b6558 \
--local-dir ./FastH3-Preview-v1-Dense-DataFree
Then download this ready-to-run MLX DiT:
hf download FastVideo/FastVideo-FastH3-4-step-Preview-v1-Dense-DataFree-MLX-INT8 \
--local-dir ./FastH3-MLX-INT8
From a current FastVideo checkout:
uv venv --python 3.12 --seed
source .venv/bin/activate
uv pip install -e ".[mlx]"
python examples/inference/basic/mlx_fasth3.py \
--model-root ./FastH3-Preview-v1-Dense-DataFree \
--mlx-checkpoint ./FastH3-MLX-INT8 \
--prompt '(S1) A presenter says <d>[English] Fast H3 runs on Apple silicon.</d>' \
--height 480 --width 832 --num-frames 124 --steps 4 --seed 2026 \
--output-path ./outputs/fasth3_int8.mp4
The MLX runtime loads one heavyweight component at a time. The source model's MiniMax H3 Community License applies to this converted checkpoint.
The conversion used FastVideo commit
cf6a00b9be4675602126d6aeab902ad9a74810ea with MLX
0.32.2 on an Apple M4 Max. FastVideo
verified all 13 source transformer shards, opened the safetensors header,
validated 1,464 tensors and the quantization manifest, loaded the checkpoint,
and completed a 124-frame 832x480 generation with the full H3 VAE.