| --- |
| 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) |
|
|
