---
library_name: mlx
license: apache-2.0
base_model: netflix/void-model
tags:
  - mlx
  - mlx-forge
  - apple-silicon
  - safetensors
---

# dgrauet/void-model-mlx

MLX format conversion of [netflix/void-model](https://huggingface.co/netflix/void-model).

Converted with [mlx-forge](https://github.com/dgrauet/mlx-forge).

## Usage

These weights can be used with [void-model-mlx](https://github.com/dgrauet/void-model-mlx):

```bash
git clone https://github.com/dgrauet/VideoX-Fun-mlx.git
export VIDEOX_FUN_MLX_PATH=/path/to/VideoX-Fun-mlx
pip install mlx opencv-python-headless pillow numpy sentencepiece

python -m void_mlx.infer \
    --sample sample/BigBen \
    --pass1 weights/void_pass1.safetensors \
    --pass2 weights/void_pass2.safetensors \
    --base-model /path/to/CogVideoX-Fun-V1.5-5b-InP-mlx-q8 \
    --steps 30 --max-frames 13 --height 352 --width 624 \
    --low-ram --output result.gif
```

## Related Projects

- **void-model-mlx (inference):** https://github.com/dgrauet/void-model-mlx
- **VideoX-Fun-mlx (engine):** https://github.com/dgrauet/VideoX-Fun-mlx
- **Base model weights:** https://huggingface.co/dgrauet/CogVideoX-Fun-V1.5-5b-InP-mlx
- **q8 variant:** https://huggingface.co/dgrauet/void-model-mlx-q8
- **q4 variant:** https://huggingface.co/dgrauet/void-model-mlx-q4

## Files

- `config.json` (376.00 B)
- `split_model.json` (1.18 KB)
- `void_pass1.safetensors` (10.38 GB)
- `void_pass2.safetensors` (10.38 GB)