mirror of
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69 lines
4.2 KiB
Markdown
69 lines
4.2 KiB
Markdown
## 2024/08/02
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<table class="center" style="width: 80%; margin-left: auto; margin-right: auto;">
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<tr>
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<td style="text-align: center"><b>Animals Singing Dance Monkey 🎤</b></td>
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</tr>
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<tr>
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<td style="border: none; text-align: center;">
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<video controls loop src="https://github.com/user-attachments/assets/38d5b6e5-d29b-458d-9f2c-4dd52546cb41" muted="false" style="width: 60%;"></video>
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</td>
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</tr>
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</table>
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🎉 We are excited to announce the release of a new version featuring animals mode, along with several other updates. Special thanks to the dedicated efforts of the LivePortrait team. 💪
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### Updates on Animals mode
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We are pleased to announce the release of the animals mode, which is fine-tuned on approximately 230K frames of various animals (mostly cats and dogs). The trained weights have been updated in the `liveportrait_animals` subdirectory, available on [HuggingFace](https://huggingface.co/KwaiVGI/LivePortrait/tree/main/) or [Google Drive](https://drive.google.com/drive/u/0/folders/1UtKgzKjFAOmZkhNK-OYT0caJ_w2XAnib). You should [download the weights](https://github.com/KwaiVGI/LivePortrait?tab=readme-ov-file#2-download-pretrained-weights) before running. There are two ways to run this mode.
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> Please note that we have not trained the stitching and retargeting modules for the animals model due to several technical issues. _This may be addressed in future updates._ Therefore, we recommend **disabling stitching by setting the `--no_flag_stitching`** option when running the model. Additionally, `paste-back` is also not recommended.
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Before launching, ensure you have installed `transformers==4.22.0`, `pillow>=10.2.0`, which are already updated in [`requirements_base.txt`](../../../requirements_base.txt). We have chosen [XPose](https://github.com/IDEA-Research/X-Pose) as the keypoints detector for animals. This relies on `transformers` and requires building an OP named `MultiScaleDeformableAttention` by
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```bash
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cd src/utils/dependencies/XPose/models/UniPose/ops
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python setup.py build install
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cd - # equal to cd ../../../../../../../
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```
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You can run the model using the script `inference_animals.py`:
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```bash
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python inference_animals.py -s assets/examples/source/s39.jpg -d assets/examples/driving/wink.pkl --no_flag_stitching --driving_multiplier 1.75
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```
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Alternatively, we recommend using Gradio. Simply launch it by running:
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```bash
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python app_animals.py # --server_port 8889 --server_name "0.0.0.0" --share
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```
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> [!WARNING]
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> [XPose](https://github.com/IDEA-Research/X-Pose) is only for Non-commercial Scientific Research Purposes, you should remove and replace it with other detectors if you use it for commercial purposes.
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### Updates on Humans mode
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- **Driving Options**: We have introduced an `expression-friendly` driving option to **reduce head wobbling**, now set as the default. While it may be less effective with large head poses, you can also select the `pose-friendly` option, which is the same as the previous version. This can be set using `--driving_option` or selected in the Gradio interface. Additionally, we added a `--driving_multiplier` option to adjust driving intensity, with a default value of 1, which can also be set in the Gradio interface.
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- **Retargeting Video in Gradio**: We have implemented a video retargeting feature. You can specify a `target lip-open ratio` to adjust the mouth movement in the source video. For instance, setting it to 0 will close the mouth in the source video 🤐.
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### Others
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- [**Poe supports LivePortrait**](https://poe.com/LivePortrait). Check out the news on [X](https://x.com/poe_platform/status/1816136105781256260).
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- [ComfyUI-LivePortraitKJ](https://github.com/kijai/ComfyUI-LivePortraitKJ) (1.1K 🌟) now includes MediaPipe as an alternative to InsightFace, ensuring the license remains under MIT and Apache 2.0.
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**Below are some screenshots of the new features and improvements:**
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| **The Gradio Interface of Animals Mode** |
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| **Driving Options and Multiplier** |
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|:---:|
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| **The Feature of Retargeting Video** |
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