| license: apache-2.0 | |
| # FaceAdapter Model Card | |
| <div align="center"> | |
| [**Project Page**](https://faceadapter.github.io/face-adapter.github.io/) **|** [**Paper**](https://arxiv.org/pdf/2405.12970) **|** [**Code**](https://github.com/FaceAdapter/Face-Adapter) **|** [🤗 **Gradio demo**](https://huggingface.co/spaces/FaceAdapter/FaceAdapter) | |
| </div> | |
| ## Introduction | |
| Face-Adapter is an efficient and effective face editing adapter for pre-trained diffusion models, specifically targeting face reenactment and swapping tasks. | |
| <div align="center"> | |
| <img src='__assets__/banner.gif'> | |
| </div> | |
| ## Usage | |
| You can directly download the model in this repository or download in python script: | |
| ```python | |
| # Download a specific file | |
| from huggingface_hub import hf_hub_download | |
| hf_hub_download(repo_id="FaceAdapter/FaceAdapter", filename="controlnet/config.json", local_dir="./checkpoints") | |
| # Download all files | |
| from huggingface_hub import snapshot_download | |
| snapshot_download(repo_id="FaceAdapter/FaceAdapter", local_dir="./checkpoints") | |
| ``` | |