Update README.md
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README.md
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@@ -123,68 +123,41 @@ It improves the quality of the lip-sync videos generated by the [Wav2Lip tool](h
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1. Install python 3.9
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brew update
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brew install python@3.9
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brew install git-lfs
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git-lfs install
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3. Install environnement and requirements
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cd /YourWav2lipStudioFolder
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/opt/homebrew/bin/python3.9 -m venv venv
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./venv/bin/python3.9 -m pip install torch==2.1.2 torchvision==0.16.2 torchaudio==2.1.2
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./venv/bin/python3.9 -m pip install -r requirements.txt
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./venv/bin/python3.9 -m pip install transformers==4.33.2
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./venv/bin/python3.9 -m pip install numpy==1.24.4
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if It doesn't works or too long on pip install -r requirements.txt
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./venv/bin/python3.9 -m pip install inaSpeechSegmenter
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./venv/bin/python3.9 -m pip install gradio==4.14.0 imutils==0.5.4 numpy opencv-python==4.8.0.76 scipy==1.11.2 requests==2.28.1 pillow==9.3.0 librosa==0.10.0 opencv-contrib-python==4.8.0.76 huggingface_hub==0.20.2 tqdm==4.66.1 cutlet==0.3.0 numba==0.57.1 imageio_ffmpeg==0.4.9 insightface==0.7.3 unidic==1.1.0 onnx==1.14.1 onnxruntime==1.16.0 psutil==5.9.5 lpips==0.1.4 GitPython==3.1.36 facexlib==0.3.0 gfpgan==1.3.8 gdown==4.7.1 pyannote.audio==3.1.1 TTS==0.21.2 openai-whisper==20231117 resampy==0.4.0 scenedetect==0.6.2 uvicorn==0.23.2 starlette==0.35.1 fastapi==0.109.0 fugashii
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./venv/bin/python3.9 -m pip install torch==2.1.2 torchvision==0.16.2 torchaudio==2.1.2
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./venv/bin/python3.9 -m pip install transformers==4.33.2
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./venv/bin/python3.9 -m pip install numpy==1.24.4
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3. Install models
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git clone https://huggingface.co/numz/wav2lip_studio models
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5. Launch UI
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./venv/bin/python3.9 wav2lip_studio.py
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# All Users
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1. Install python 3.9
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```
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brew update
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brew install python@3.9
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brew install git-lfs
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git-lfs install
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```
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3. Install environnement and requirements
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```
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cd /YourWav2lipStudioFolder
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/opt/homebrew/bin/python3.9 -m venv venv
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./venv/bin/python3.9 -m pip install torch==2.1.2 torchvision==0.16.2 torchaudio==2.1.2
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./venv/bin/python3.9 -m pip install -r requirements.txt
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./venv/bin/python3.9 -m pip install transformers==4.33.2
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./venv/bin/python3.9 -m pip install numpy==1.24.4
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```
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if It doesn't works or too long on pip install -r requirements.txt
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```
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./venv/bin/python3.9 -m pip install inaSpeechSegmenter
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./venv/bin/python3.9 -m pip install gradio==4.14.0 imutils==0.5.4 numpy opencv-python==4.8.0.76 scipy==1.11.2 requests==2.28.1 pillow==9.3.0 librosa==0.10.0 opencv-contrib-python==4.8.0.76 huggingface_hub==0.20.2 tqdm==4.66.1 cutlet==0.3.0 numba==0.57.1 imageio_ffmpeg==0.4.9 insightface==0.7.3 unidic==1.1.0 onnx==1.14.1 onnxruntime==1.16.0 psutil==5.9.5 lpips==0.1.4 GitPython==3.1.36 facexlib==0.3.0 gfpgan==1.3.8 gdown==4.7.1 pyannote.audio==3.1.1 TTS==0.21.2 openai-whisper==20231117 resampy==0.4.0 scenedetect==0.6.2 uvicorn==0.23.2 starlette==0.35.1 fastapi==0.109.0 fugashii
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./venv/bin/python3.9 -m pip install torch==2.1.2 torchvision==0.16.2 torchaudio==2.1.2
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./venv/bin/python3.9 -m pip install transformers==4.33.2
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./venv/bin/python3.9 -m pip install numpy==1.24.4
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```
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3. Install models
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```
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git clone https://huggingface.co/numz/wav2lip_studio models
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```
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5. Launch UI
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```
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./venv/bin/python3.9 wav2lip_studio.py
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```
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# All Users
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