deepgeek/lite-avatar
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Merge branch 'HumanAIGC:main' into feature/20250626-remove-lfs

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sudowind
2025-06-28 16:43:24 +08:00
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commit 84abb57d23
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4
README.md
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@@ -6,6 +6,8 @@ We introduce a audio2face model for realtime 2D chat avatar, which can run in 30
- A lightweight 2D face generator model for mouth movement rendering, which can also be deployed on mobile devices realizing realtime inference. - A lightweight 2D face generator model for mouth movement rendering, which can also be deployed on mobile devices realizing realtime inference.
## Data Preparation ## Data Preparation
Get sample avatar data located in `./data/sample_data.zip` and extract to you path Get sample avatar data located in `./data/sample_data.zip` and extract to you path
🔥More avatars can be found at [LiteAvatarGallery](https://modelscope.cn/models/HumanAIGC-Engineering/LiteAvatarGallery/summary)
## Installation ## Installation
We recommend a python version = 3.10 and cuda version = 11.8. Then build environment as follows: We recommend a python version = 3.10 and cuda version = 11.8. Then build environment as follows:
```shell ```shell
@@ -42,4 +44,4 @@ If you find this project useful, please ⭐️ star the repository and cite our
pages = {5956--5959}, pages = {5956--5959},
year = {2022} year = {2022}
} }
``` ```

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lite_avatar.py
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@@ -365,4 +365,4 @@ if __name__ == '__main__':
lite_avatar = liteAvatar(data_dir=args.data_dir, num_threads=1, generate_offline=True) lite_avatar = liteAvatar(data_dir=args.data_dir, num_threads=1, generate_offline=True)
lite_avatar.handle(audio_file, tmp_frame_dir) lite_avatar.handle(audio_file, tmp_frame_dir)