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install.sh
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#!/bin/bash
# cd into GPT-SoVITS Base Path
SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" &>/dev/null && pwd)"
cd "$SCRIPT_DIR" || exit 1
set -e
if ! command -v conda &>/dev/null; then
echo "Conda Not Found"
exit 1
fi
trap 'echo "Error Occured at \"$BASH_COMMAND\" with exit code $?"; exit 1' ERR
is_HF=false
is_HF_MIRROR=false
is_MODELSCOPE=false
DOWNLOAD_UVR5=false
print_help() {
echo "Usage: bash install.sh [OPTIONS]"
echo ""
echo "Options:"
echo " --source HF|HF-Mirror|ModelScope Specify the model source (REQUIRED)"
echo " --download-uvr5 Enable downloading the UVR5 model"
echo " -h, --help Show this help message and exit"
echo ""
echo "Examples:"
echo " bash install.sh --source HF --download-uvr5"
echo " bash install.sh --source ModelScope"
}
# Show help if no arguments provided
if [[ $# -eq 0 ]]; then
print_help
exit 0
fi
# Parse arguments
while [[ $# -gt 0 ]]; do
case "$1" in
--source)
case "$2" in
HF)
is_HF=true
;;
HF-Mirror)
is_HF_MIRROR=true
;;
ModelScope)
is_MODELSCOPE=true
;;
*)
echo "Error: Invalid Download Source: $2"
echo "Choose From: [HF, HF-Mirror, ModelScope]"
exit 1
;;
esac
shift 2
;;
--download-uvr5)
DOWNLOAD_UVR5=true
shift
;;
-h|--help)
print_help
exit 0
;;
*)
echo "Unknown Argument: $1"
echo "Use -h or --help to see available options."
exit 1
;;
esac
done
if ! $is_HF && ! $is_HF_MIRROR && ! $is_MODELSCOPE; then
echo "Error: Download Source is REQUIRED"
echo ""
print_help
exit 1
fi
if [ "$is_HF" = "true" ]; then
echo "Download Model From HuggingFace"
PRETRINED_URL="https://huggingface.co/XXXXRT/GPT-SoVITS-Pretrained/resolve/main/pretrained_models.zip"
G2PW_URL="https://huggingface.co/XXXXRT/GPT-SoVITS-Pretrained/resolve/main/G2PWModel.zip"
UVR5_URL="https://huggingface.co/XXXXRT/GPT-SoVITS-Pretrained/resolve/main/uvr5_weights.zip"
elif [ "$is_HF_MIRROR" = "true" ]; then
echo "Download Model From HuggingFace-Mirror"
PRETRINED_URL="https://hf-mirror.com/XXXXRT/GPT-SoVITS-Pretrained/resolve/main/pretrained_models.zip"
G2PW_URL="https://hf-mirror.com/XXXXRT/GPT-SoVITS-Pretrained/resolve/main/G2PWModel.zip"
UVR5_URL="https://hf-mirror.com/XXXXRT/GPT-SoVITS-Pretrained/resolve/main/uvr5_weights.zip"
elif [ "$is_MODELSCOPE" = "true" ]; then
echo "Download Model From ModelScope"
PRETRINED_URL="https://www.modelscope.cn/models/XXXXRT/GPT-SoVITS-Pretrained/resolve/master/pretrained_models.zip"
G2PW_URL="https://www.modelscope.cn/models/XXXXRT/GPT-SoVITS-Pretrained/resolve/master/G2PWModel.zip"
UVR5_URL="https://www.modelscope.cn/models/XXXXRT/GPT-SoVITS-Pretrained/resolve/master/uvr5_weights.zip"
fi
if find "GPT_SoVITS/pretrained_models" -mindepth 1 ! -name '.gitignore' | grep -q .; then
echo "Pretrained Model Exists"
else
echo "Download Pretrained Models"
wget --tries=25 --wait=5 --read-timeout=40 --retry-on-http-error=404 "$PRETRINED_URL"
unzip pretrained_models.zip
rm -rf pretrained_models.zip
mv pretrained_models/* GPT_SoVITS/pretrained_models
rm -rf pretrained_models
fi
if [ ! -d "GPT_SoVITS/text/G2PWModel" ]; then
echo "Download G2PWModel"
wget --tries=25 --wait=5 --read-timeout=40 --retry-on-http-error=404 "$G2PW_URL"
unzip G2PWModel.zip
rm -rf G2PWModel.zip
mv G2PWModel GPT_SoVITS/text/G2PWModel
else
echo "G2PWModel Exists"
fi
if [ "$DOWNLOAD_UVR5" = "true" ];then
if find "tools/uvr5/uvr5_weights" -mindepth 1 ! -name '.gitignore' | grep -q .; then
echo "UVR5 Model Exists"
else
echo "Download UVR5 Model"
wget --tries=25 --wait=5 --read-timeout=40 --retry-on-http-error=404 "$UVR5_URL"
unzip uvr5_weights.zip
rm -rf uvr5_weights.zip
mv uvr5_weights/* tools/uvr5/uvr5_weights
rm -rf uvr5_weights
fi
fi
# 安装构建工具
# Install build tools
echo "Installing GCC..."
conda install -c conda-forge gcc=14 -y
echo "Installing G++..."
conda install -c conda-forge gxx -y
echo "Installing ffmpeg and cmake..."
conda install ffmpeg cmake -y
echo "Installing git-lfs and zip..."
conda install git-lfs -y
conda install zip -y
git-lfs install
echo "Checking for CUDA installation..."
if command -v nvidia-smi &>/dev/null; then
USE_CUDA=true
echo "CUDA found."
else
echo "CUDA not found."
USE_CUDA=false
fi
if [ "$USE_CUDA" = false ]; then
echo "Checking for ROCm installation..."
if [ -d "/opt/rocm" ]; then
USE_ROCM=true
echo "ROCm found."
if grep -qi "microsoft" /proc/version; then
echo "You are running WSL."
IS_WSL=true
else
echo "You are NOT running WSL."
IS_WSL=false
fi
else
echo "ROCm not found."
USE_ROCM=false
fi
fi
if [ "$USE_CUDA" = true ]; then
echo "Installing PyTorch with CUDA support..."
pip install torch==2.5.1 torchaudio==2.5.1 --index-url https://download.pytorch.org/whl/cu124
elif [ "$USE_ROCM" = true ]; then
echo "Installing PyTorch with ROCm support..."
pip install torch==2.5.1 torchaudio==2.5.1 --index-url https://download.pytorch.org/whl/rocm6.2
else
echo "Installing PyTorch for CPU..."
pip install torch==2.5.1 torchaudio==2.5.1 --index-url https://download.pytorch.org/whl/cpu
fi
echo "Installing Python dependencies from requirements.txt..."
# 刷新环境
# Refresh environment
hash -r
pip install -r extra-req.txt --no-deps
pip install -r requirements.txt
python -c "import nltk; nltk.download(['averaged_perceptron_tagger','averaged_perceptron_tagger_eng','cmudict'])"
if [ "$USE_ROCM" = true ] && [ "$IS_WSL" = true ]; then
echo "Update to WSL compatible runtime lib..."
location=$(pip show torch | grep Location | awk -F ": " '{print $2}')
cd "${location}"/torch/lib/ || exit
rm libhsa-runtime64.so*
cp /opt/rocm/lib/libhsa-runtime64.so.1.2 libhsa-runtime64.so
fi
echo "Installation completed successfully!"