Instructions to use tkmspl/LivePortrait with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LivePortrait
How to use tkmspl/LivePortrait with LivePortrait:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
| # Byte-compiled / optimized / DLL files | |
| __pycache__/ | |
| **/__pycache__/ | |
| *.py[cod] | |
| **/*.py[cod] | |
| *$py.class | |
| # Model weights | |
| #**/*.pth | |
| #**/*.onnx | |
| # Ipython notebook | |
| *.ipynb | |
| # Temporary files or benchmark resources | |
| animations/* | |
| tmp/* | |
| gradio_cached_examples/ | |