Instructions to use Avdpro/MLX-LivePortrait with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use Avdpro/MLX-LivePortrait with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download Avdpro/MLX-LivePortrait --local-dir MLX-LivePortrait
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
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Download NOTICE.md from Avdpro/MLX-LivePortrait: direct link, hf CLI and curl.
- Browser
- Download file 584 Bytes
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https://huggingface.co/Avdpro/MLX-LivePortrait/resolve/main/NOTICE.md
- Command line
-
hf download hf://Avdpro/MLX-LivePortrait/NOTICE.md
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curl -L -o NOTICE.md https://huggingface.co/Avdpro/MLX-LivePortrait/resolve/main/NOTICE.md
584 Bytes
| # MLX LivePortrait checkpoint notices | |
| The seven `weights/*.npz` files are deterministic MLX conversions of the | |
| official human LivePortrait checkpoint at `KlingTeam/LivePortrait` revision | |
| `82a4fa6735ca58432b6ce39301b4b9ee066dea47`. Conversion changes tensor layout | |
| for MLX execution and folds inference spectral normalization; it does not train | |
| or alter the learned model. | |
| The detector bundle contains `face_detection_yunet_2023mar.onnx` converted to | |
| the oMLX graph format. YuNet is licensed under the MIT License included as | |
| `YUNET_LICENSE`. | |
| No InsightFace checkpoint is included. | |