Image-to-Video
PyTorch
ONNX
LivePortrait
talking-head-generation
audio-driven-face-animation
cvpr-2026
Instructions to use doubi-killer/PC-Talk with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LivePortrait
How to use doubi-killer/PC-Talk 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
|
Download README.md from doubi-killer/PC-Talk: direct link, hf CLI and curl.
- Browser
- Download file 3.11 kB
-
https://huggingface.co/doubi-killer/PC-Talk/resolve/main/README.md
- Command line
-
hf download hf://doubi-killer/PC-Talk/README.md
-
curl -L -o README.md https://huggingface.co/doubi-killer/PC-Talk/resolve/main/README.md
3.11 kB
| license: other | |
| license_name: checkpoint-specific-upstream-terms | |
| license_link: https://github.com/BQ-Wang0511/PC-Talk/blob/main/THIRD_PARTY_NOTICES.md | |
| library_name: pytorch | |
| pipeline_tag: image-to-video | |
| tags: | |
| - talking-head-generation | |
| - audio-driven-face-animation | |
| - liveportrait | |
| - cvpr-2026 | |
| - arxiv:2503.14295 | |
| # PC-Talk β CVPR 2026 Checkpoints | |
| Runtime checkpoints for **PC-Talk: Precise Facial Animation Control for | |
| Audio-Driven Talking Face Generation**. | |
| - [Paper](https://arxiv.org/abs/2503.14295) | |
| - [Project page](https://bq-wang0511.github.io/PC-Talk/) | |
| - [Source code and full inference instructions](https://github.com/BQ-Wang0511/PC-Talk) | |
| ## Download | |
| Clone the source code and download the checkpoints directly into their runtime | |
| location: | |
| ```bash | |
| git clone https://github.com/BQ-Wang0511/PC-Talk.git | |
| cd PC-Talk | |
| pip install -U huggingface_hub | |
| hf download doubi-killer/PC-Talk --local-dir pctalk/checkpoints | |
| ``` | |
| The repository contains 12 model files (about 920 MB), preserving the layout | |
| expected by PC-Talk: | |
| ```text | |
| audio_encoder.pth | |
| lac.pth | |
| emc.pth | |
| style_encoder.pth | |
| liveportrait/ | |
| βββ landmark.onnx | |
| βββ base_models/ | |
| β βββ appearance_feature_extractor.pth | |
| β βββ motion_extractor.pth | |
| β βββ spade_generator.pth | |
| β βββ warping_module.pth | |
| βββ retargeting_models/ | |
| βββ stitching_retargeting_module.pth | |
| insightface/models/buffalo_l/ | |
| βββ 2d106det.onnx | |
| βββ det_10g.onnx | |
| ``` | |
| `lac.pth` includes both the LAC model and its refinement model. EMC is used for | |
| emotion control; the style encoder is used for reference-style input. The | |
| LivePortrait and face-analysis weights are included for the inference backend. | |
| The original `SHA256SUMS` manifest uses paths relative to the **source-code | |
| repository root**. After downloading, verify the files from that root: | |
| ```bash | |
| sha256sum -c pctalk/checkpoints/SHA256SUMS | |
| ``` | |
| These are downloadable inference assets, not a Transformers-format model. Use | |
| the PC-Talk source code to run inference. See its README for installation, | |
| image/video examples, emotion controls and articulation settings. | |
| ## Usage terms and safety | |
| The source-code license does **not** automatically license every model weight. | |
| Third-party components retain their upstream terms: | |
| - [LivePortrait](https://github.com/KwaiVGI/LivePortrait) | |
| - [InsightFace](https://github.com/deepinsight/insightface) | |
| - [Wav2Lip](https://github.com/Rudrabha/Wav2Lip) | |
| In particular, the InsightFace model assets are restricted to non-commercial | |
| research use and must be replaced for commercial deployment. Consult the | |
| upstream licenses and the source repository's third-party notices before use. | |
| Only load PyTorch checkpoints from trusted sources. | |
| ## Citation | |
| ```bibtex | |
| @inproceedings{wang2026pc, | |
| title={PC-Talk: Precise Facial Animation Control for Audio-Driven Talking Face Generation}, | |
| author={Wang, Baiqin and Zhu, Xiangyu and Shen, Fan and Xu, Hao and Lei, Zhen}, | |
| booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition}, | |
| pages={25153--25162}, | |
| year={2026} | |
| } | |
| ``` | |