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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 $?"; exit 1' ERR
USE_CUDA=false
USE_ROCM=false
USE_CPU=false
WORKFLOW=${WORKFLOW:-"false"}
USE_HF=false
USE_HF_MIRROR=false
USE_MODELSCOPE=false
DOWNLOAD_UVR5=false
print_help() {
echo "Usage: bash install.sh [OPTIONS]"
echo ""
echo "Options:"
echo " --device CU126|CU128|ROCM|MPS|CPU Specify the Device (REQUIRED)"
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)
USE_HF=true
;;
HF-Mirror)
USE_HF_MIRROR=true
;;
ModelScope)
USE_MODELSCOPE=true
;;
*)
echo "Error: Invalid Download Source: $2"
echo "Choose From: [HF, HF-Mirror, ModelScope]"
exit 1
;;
esac
shift 2
;;
--device)
case "$2" in
CU126)
CUDA=126
USE_CUDA=true
;;
CU128)
CUDA=128
USE_CUDA=true
;;
ROCM)
USE_ROCM=true
;;
MPS)
USE_CPU=true
;;
CPU)
USE_CPU=true
;;
*)
echo "Error: Invalid Device: $2"
echo "Choose From: [CU126, CU128, ROCM, MPS, CPU]"
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 ! $USE_CUDA && ! $USE_ROCM && ! $USE_CPU; then
echo "Error: Device is REQUIRED"
echo ""
print_help
exit 1
fi
if ! $USE_HF && ! $USE_HF_MIRROR && ! $USE_MODELSCOPE; then
echo "Error: Download Source is REQUIRED"
echo ""
print_help
exit 1
fi
# 安装构建工具
# Install build tools
if [ "$(uname)" != "Darwin" ]; then
gcc_major_version=$(command -v gcc >/dev/null 2>&1 && gcc -dumpversion | cut -d. -f1 || echo 0)
if [ "$gcc_major_version" -lt 11 ]; then
echo "Installing GCC & G++..."
conda install -c conda-forge gcc=11 gxx=11 -q -y
else
echo "GCC >=11"
fi
else
if ! xcode-select -p &>/dev/null; then
echo "Installing Xcode Command Line Tools..."
xcode-select --install
fi
echo "Waiting For Xcode Command Line Tools Installation Complete..."
while true; do
sleep 20
if xcode-select -p &>/dev/null; then
echo "Xcode Command Line Tools Installed"
break
else
echo "InstallingPlease Wait..."
fi
done
conda install -c conda-forge -q -y
fi
echo "Installing ffmpeg and cmake..."
conda install ffmpeg cmake make -q -y
echo "Installing unzip..."
conda install unzip -y --quiet
if [ "$USE_HF" = "true" ]; then
echo "Download Model From HuggingFace"
PRETRINED_URL="https://huggingface.co/XXXXRT/GPT-SoVITS-Pretrained/resolve/main/pretrained_models.zip"
G2PW_URL="https://huggingface.co/XXXXRT/GPT-SoVITS-Pretrained/resolve/main/G2PWModel.zip"
UVR5_URL="https://huggingface.co/XXXXRT/GPT-SoVITS-Pretrained/resolve/main/uvr5_weights.zip"
NLTK_URL="https://huggingface.co/XXXXRT/GPT-SoVITS-Pretrained/resolve/main/nltk_data.zip"
PYOPENJTALK_URL="https://huggingface.co/XXXXRT/GPT-SoVITS-Pretrained/resolve/main/open_jtalk_dic_utf_8-1.11.tar.gz"
elif [ "$USE_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"
NLTK_URL="https://hf-mirror.com/XXXXRT/GPT-SoVITS-Pretrained/resolve/main/nltk_data.zip"
PYOPENJTALK_URL="https://hf-mirror.com/XXXXRT/GPT-SoVITS-Pretrained/resolve/main/open_jtalk_dic_utf_8-1.11.tar.gz"
elif [ "$USE_MODELSCOPE" = "true" ]; then
echo "Download Model From ModelScope"
PRETRINED_URL="https://www.modelscope.cn/models/XXXXRT/GPT-SoVITS-Pretrained/resolve/master/pretrained_models.zip"
G2PW_URL="https://www.modelscope.cn/models/XXXXRT/GPT-SoVITS-Pretrained/resolve/master/G2PWModel.zip"
UVR5_URL="https://www.modelscope.cn/models/XXXXRT/GPT-SoVITS-Pretrained/resolve/master/uvr5_weights.zip"
NLTK_URL="https://www.modelscope.cn/models/XXXXRT/GPT-SoVITS-Pretrained/resolve/master/nltk_data.zip"
PYOPENJTALK_URL="https://www.modelscope.cn/models/XXXXRT/GPT-SoVITS-Pretrained/resolve/master/open_jtalk_dic_utf_8-1.11.tar.gz"
fi
if [ "$WORKFLOW" = "true" ]; then
WGET_CMD=(wget -nv --tries=25 --wait=5 --read-timeout=40 --retry-on-http-error=404)
else
WGET_CMD=(wget --tries=25 --wait=5 --read-timeout=40 --retry-on-http-error=404)
fi
if find -L "GPT_SoVITS/pretrained_models" -mindepth 1 ! -name '.gitignore' | grep -q .; then
echo "Pretrained Model Exists"
else
echo "Download Pretrained Models"
"${WGET_CMD[@]}" "$PRETRINED_URL"
unzip -q -o pretrained_models.zip -d GPT_SoVITS
rm -rf pretrained_models.zip
fi
if [ ! -d "GPT_SoVITS/text/G2PWModel" ]; then
echo "Download G2PWModel"
"${WGET_CMD[@]}" "$G2PW_URL"
unzip -q -o G2PWModel.zip -d GPT_SoVITS/text
rm -rf G2PWModel.zip
else
echo "G2PWModel Exists"
fi
if [ "$DOWNLOAD_UVR5" = "true" ]; then
if find -L "tools/uvr5/uvr5_weights" -mindepth 1 ! -name '.gitignore' | grep -q .; then
echo "UVR5 Model Exists"
else
echo "Download UVR5 Model"
"${WGET_CMD[@]}" "$UVR5_URL"
unzip -q -o uvr5_weights.zip -d tools/uvr5
rm -rf uvr5_weights.zip
fi
fi
if [ "$USE_CUDA" = true ] && [ "$WORKFLOW" = false ]; then
echo "Checking for CUDA installation..."
if command -v nvidia-smi &>/dev/null; then
echo "CUDA found."
else
USE_CUDA=false
USE_CPU=true
echo "CUDA not found."
fi
fi
if [ "$USE_ROCM" = true ] && [ "$WORKFLOW" = false ]; then
echo "Checking for ROCm installation..."
if [ -d "/opt/rocm" ]; then
echo "ROCm found."
if grep -qi "microsoft" /proc/version; then
echo "You are running WSL."
IS_WSL=true
else
echo "You are NOT running WSL."
IS_WSL=false
fi
else
USE_ROCM=false
USE_CPU=true
echo "ROCm not found."
fi
fi
if [ "$USE_CUDA" = true ] && [ "$WORKFLOW" = false ]; then
echo "Installing PyTorch with CUDA support..."
if [ "$CUDA" = 128 ]; then
pip install torch torchaudio --index-url https://download.pytorch.org/whl/cu128
elif [ "$CUDA" = 126 ]; then
pip install torch==2.6 torchaudio --index-url https://download.pytorch.org/whl/cu126
fi
elif [ "$USE_ROCM" = true ] && [ "$WORKFLOW" = false ]; then
echo "Installing PyTorch with ROCm support..."
pip install torch==2.6 torchaudio --index-url https://download.pytorch.org/whl/rocm6.2
elif [ "$USE_CPU" = true ] && [ "$WORKFLOW" = false ]; then
echo "Installing PyTorch for CPU..."
pip install torch==2.6 torchaudio --index-url https://download.pytorch.org/whl/cpu
elif [ "$WORKFLOW" = false ]; then
echo "Unknown Err"
exit 1
fi
echo "Installing Python dependencies from requirements.txt..."
# 刷新环境
# Refresh environment
hash -r
pip install -r extra-req.txt --no-deps --quiet
pip install -r requirements.txt --quiet
PY_PREFIX=$(python -c "import sys; print(sys.prefix)")
PYOPENJTALK_PREFIX=$(python -c "import os, pyopenjtalk; print(os.path.dirname(pyopenjtalk.__file__))")
"${WGET_CMD[@]}" "$NLTK_URL" -O nltk_data.zip
unzip -q -o nltk_data -d "$PY_PREFIX"
rm -rf nltk_data.zip
"${WGET_CMD[@]}" "$PYOPENJTALK_URL" -O open_jtalk_dic_utf_8-1.11.tar.gz
tar -xvzf open_jtalk_dic_utf_8-1.11.tar.gz -C "$PYOPENJTALK_PREFIX"
rm -rf open_jtalk_dic_utf_8-1.11.tar.gz
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!"