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
Download ai2apps-checkpoint.json from Avdpro/MLX-LivePortrait: direct link, hf CLI and curl.
- Browser
- Download file 3.08 kB
-
https://huggingface.co/Avdpro/MLX-LivePortrait/resolve/main/ai2apps-checkpoint.json
- Command line
-
hf download hf://Avdpro/MLX-LivePortrait/ai2apps-checkpoint.json
-
curl -L -o ai2apps-checkpoint.json https://huggingface.co/Avdpro/MLX-LivePortrait/resolve/main/ai2apps-checkpoint.json
3.08 kB
| { | |
| "schema": "ai2apps.mlx-liveportrait-checkpoint/v1", | |
| "architecture": "liveportrait-human", | |
| "implementation": "native-mlx", | |
| "source": { | |
| "repo_id": "KlingTeam/LivePortrait", | |
| "revision": "82a4fa6735ca58432b6ce39301b4b9ee066dea47" | |
| }, | |
| "detector": { | |
| "family": "yunet-2023mar", | |
| "license": "MIT", | |
| "sha256": "8f2383e4dd3cfbb4553ea8718107fc0423210dc964f9f4280604804ed2552fa4" | |
| }, | |
| "profiles": { | |
| "quality": { | |
| "precision": "fp32", | |
| "default": true | |
| }, | |
| "fast": { | |
| "precision": "bf16", | |
| "default": false | |
| } | |
| }, | |
| "unsupported_precisions": [ | |
| "fp16" | |
| ], | |
| "files": [ | |
| { | |
| "path": "weights/appearance_feature_extractor.npz", | |
| "size": 3377868, | |
| "sha256": "4eec38855dce659872aa33b684dcb513289d905941a19531e7ff32bf464b4fbd" | |
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| "path": "weights/stitching.npz", | |
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| "path": "weights/stitching_lip.npz", | |
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