Downloads · 30 days
0
FastVideo-FastH3-4-step-Preview-v1-Dense-DataFree-MLX-INT4
MrMofer/FastVideo-FastH3-4-step-Preview-v1-Dense-DataFree-MLX-INT4
FastVideo-FastH3-4-step-Preview-v1-Dense-DataFree-MLX-INT4 is a text-to-video model from MrMofer. 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 INT4 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.
Access
Public
Updated Sep 2, 2026
Repo size
89.3 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors89.3 GB · 100%
At a glance
- Task
- Text-to-Video
- Library
- fastvideo
- License
- other
- Access
- Public
- Created
- Sep 2, 2026
- Updated
- Sep 2, 2026
- SHA
- 4c8c3e54
Base models
Model card
From the Hugging Face model README
FastH3 Preview v1 Dense DataFree MLX INT4
This repository contains the ready-to-run INT4 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 INT4 with group size 64. Activations
remain BF16. This export is dense-only and does not support --vsa.
Files
| File | Purpose |
|---|---|
mlx_h3_dit.safetensors | Quantized H3 DiT weights, 10.74 GiB |
mlx_h3_dit.json | Architecture, quantization, and cached AdaLN schedule |
conversion_manifest.json | Source revision, converter version, validation, and checksums |
Weights SHA-256: dcee86c17197c621a0e3d3ba9541cb6ef5764cd0c258beb7b044fb12b217e948
Download
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-INT4 \
--local-dir ./FastH3-MLX-INT4
Run on Apple silicon
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-INT4 \
--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_int4.mp4
The MLX runtime loads one heavyweight component at a time. The source model's MiniMax H3 Community License applies to this converted checkpoint.
Validation and provenance
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.
- Task
- Text-to-Video
- Library
- fastvideo
- License
- other
- Created
- Sep 2, 2026
- Updated
- Sep 2, 2026