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
File size: 584 Bytes
2bccacd | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 | # 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.
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