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README.md
10
README.md
@@ -93,9 +93,9 @@ Follow these steps to install Refacer and its dependencies:
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# Create the environment
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# Create the environment
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# Windows:
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# Windows:
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conda create -n neorefacer-env python=3.11 nomkl conda-forge::vs2015_runtime
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conda create -n neorefacer-env python=3.11 conda-forge::vs2015_runtime
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# Linux:
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# Linux:
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conda create -n neorefacer-env python=3.11 nomkl
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conda create -n neorefacer-env python=3.11
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# MacOS:
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# MacOS:
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conda create -n neorefacer-env python=3.11
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conda create -n neorefacer-env python=3.11
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@@ -107,6 +107,12 @@ Follow these steps to install Refacer and its dependencies:
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pip install -r requirements-CPU.txt
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pip install -r requirements-CPU.txt
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# For NVIDIA RTX GPU only (compatible with Windows and Linux only, requires a NVIDIA GPU with CUDA and its libraries)
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# For NVIDIA RTX GPU only (compatible with Windows and Linux only, requires a NVIDIA GPU with CUDA and its libraries)
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# Install Torch with CUDA enabled:
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conda install pytorch torchvision torchaudio pytorch-cuda=11.8 -c pytorch -c nvidia
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# This should install torch 2.5.1, torchaudio 2.5.1 and torchvision 0.20.1
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# Make sure that CUDA is returning True:
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python -c "import torch; print('CUDA:', torch.cuda.is_available()); print(torch.version.cuda); print(torch.cuda.get_device_name(0))"
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# Now install the rest of the dependencies
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pip install -r requirements-GPU.txt
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pip install -r requirements-GPU.txt
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# For CoreML only (compatible with MacOSX, requires Silicon architecture):
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# For CoreML only (compatible with MacOSX, requires Silicon architecture):
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@@ -14,7 +14,7 @@ psutil==7.0.0
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ngrok==1.4.0
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ngrok==1.4.0
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pyfiglet==1.0.2
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pyfiglet==1.0.2
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# codeformer dependencies
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# codeformer dependencies
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torch==2.6.0
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# torch==2.6.0
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torchvision==0.21.0
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# torchvision==0.21.0
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gdown==5.2.0
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gdown==5.2.0
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lpips==0.1.4
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lpips==0.1.4
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