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environment.yaml

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- jiwer==2.3.0
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- piq
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- librosa==0.8.1
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- phonemizer==3.2.1
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- -e git+https://github.com/CompVis/taming-transformers.git@master#egg=taming-transformers
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- -e git+https://github.com/openai/CLIP.git@main#egg=clip
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- -e .

face_reenactment/README.md

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### Preparation
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* Download AffectNet dataset from [here](http://mohammadmahoor.com/affectnet/). Please correct all path variables correspondingly.
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* Download AffectNet dataset from [here](http://mohammadmahoor.com/affectnet/). Please correct all path variables correspondingly.
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* In addition, to use ID loss during CLIP-guided finetuning, you are required to download the pretrained [IR-SE50](https://drive.google.com/file/d/1KW7bjndL3QG3sxBbZxreGHigcCCpsDgn/view) model from [TreB1eN](https://github.com/TreB1eN) and put it in the /pretrained directory.

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