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此仓库是为了提升国内下载速度的镜像仓库,每日同步一次。 原始仓库: https://github.com/RVC-Boss/GPT-SoVITS
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install.sh 12.13 KB
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XXXXRT666 提交于 2025-06-27 01:04 +08:00 . Add Windows Install Powershell Scripts (#2487)
#!/bin/bash
# cd into GPT-SoVITS Base Path
SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" &>/dev/null && pwd)"
cd "$SCRIPT_DIR" || exit 1
RESET="\033[0m"
BOLD="\033[1m"
ERROR="\033[1;31m[ERROR]: $RESET"
WARNING="\033[1;33m[WARNING]: $RESET"
INFO="\033[1;32m[INFO]: $RESET"
SUCCESS="\033[1;34m[SUCCESS]: $RESET"
set -eE
set -o errtrace
trap 'on_error $LINENO "$BASH_COMMAND" $?' ERR
# shellcheck disable=SC2317
on_error() {
local lineno="$1"
local cmd="$2"
local code="$3"
echo -e "${ERROR}${BOLD}Command \"${cmd}\" Failed${RESET} at ${BOLD}Line ${lineno}${RESET} with Exit Code ${BOLD}${code}${RESET}"
echo -e "${ERROR}${BOLD}Call Stack:${RESET}"
for ((i = ${#FUNCNAME[@]} - 1; i >= 1; i--)); do
echo -e " in ${BOLD}${FUNCNAME[i]}()${RESET} at ${BASH_SOURCE[i]}:${BOLD}${BASH_LINENO[i - 1]}${RESET}"
done
exit "$code"
}
run_conda_quiet() {
local output
output=$(conda install --yes --quiet -c conda-forge "$@" 2>&1) || {
echo -e "${ERROR} Conda install failed:\n$output"
exit 1
}
}
run_pip_quiet() {
local output
output=$(pip install "$@" 2>&1) || {
echo -e "${ERROR} Pip install failed:\n$output"
exit 1
}
}
run_wget_quiet() {
if wget --tries=25 --wait=5 --read-timeout=40 -q --show-progress "$@" 2>&1; then
tput cuu1 && tput el
else
echo -e "${ERROR} Wget failed"
exit 1
fi
}
if ! command -v conda &>/dev/null; then
echo -e "${ERROR}Conda Not Found"
exit 1
fi
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 --device CU128 --source HF --download-uvr5"
echo " bash install.sh --device MPS --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 "$2" in
HF)
USE_HF=true
;;
HF-Mirror)
USE_HF_MIRROR=true
;;
ModelScope)
USE_MODELSCOPE=true
;;
*)
echo -e "${ERROR}Error: Invalid Download Source: $2"
echo -e "${ERROR}Choose From: [HF, HF-Mirror, ModelScope]"
exit 1
;;
esac
shift 2
;;
--device)
case "$2" in
CU126)
CUDA=126
USE_CUDA=true
;;
CU128)
CUDA=128
USE_CUDA=true
;;
ROCM)
USE_ROCM=true
;;
MPS)
USE_CPU=true
;;
CPU)
USE_CPU=true
;;
*)
echo -e "${ERROR}Error: Invalid Device: $2"
echo -e "${ERROR}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 -e "${ERROR}Unknown Argument: $1"
echo ""
print_help
exit 1
;;
esac
done
if ! $USE_CUDA && ! $USE_ROCM && ! $USE_CPU; then
echo -e "${ERROR}Error: Device is REQUIRED"
echo ""
print_help
exit 1
fi
if ! $USE_HF && ! $USE_HF_MIRROR && ! $USE_MODELSCOPE; then
echo -e "${ERROR}Error: Download Source is REQUIRED"
echo ""
print_help
exit 1
fi
case "$(uname -m)" in
x86_64 | amd64) SYSROOT_PKG="sysroot_linux-64>=2.28" ;;
aarch64 | arm64) SYSROOT_PKG="sysroot_linux-aarch64>=2.28" ;;
ppc64le) SYSROOT_PKG="sysroot_linux-ppc64le>=2.28" ;;
*)
echo "Unsupported architecture: $(uname -m)"
exit 1
;;
esac
# Install build tools
echo -e "${INFO}Detected system: $(uname -s) $(uname -r) $(uname -m)"
if [ "$(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 -e "${INFO}Installing GCC & G++..."
run_conda_quiet gcc=11 gxx=11
run_conda_quiet "$SYSROOT_PKG"
echo -e "${SUCCESS}GCC & G++ Installed..."
else
echo -e "${INFO}Detected GCC Version: $gcc_major_version"
echo -e "${INFO}Skip Installing GCC & G++ From Conda-Forge"
echo -e "${INFO}Installing libstdcxx-ng From Conda-Forge"
run_conda_quiet "libstdcxx-ng>=$gcc_major_version"
echo -e "${SUCCESS}libstdcxx-ng=$gcc_major_version Installed..."
fi
else
if ! xcode-select -p &>/dev/null; then
echo -e "${INFO}Installing Xcode Command Line Tools..."
xcode-select --install
echo -e "${INFO}Waiting For Xcode Command Line Tools Installation Complete..."
while true; do
sleep 20
if xcode-select -p &>/dev/null; then
echo -e "${SUCCESS}Xcode Command Line Tools Installed"
break
else
echo -e "${INFO}Installing,Please Wait..."
fi
done
else
XCODE_PATH=$(xcode-select -p)
if [[ "$XCODE_PATH" == *"Xcode.app"* ]]; then
echo -e "${WARNING} Detected Xcode path: $XCODE_PATH"
echo -e "${WARNING} If your Xcode version does not match your macOS version, it may cause unexpected issues during compilation or package builds."
fi
fi
fi
echo -e "${INFO}Installing FFmpeg & CMake..."
run_conda_quiet ffmpeg cmake make
echo -e "${SUCCESS}FFmpeg & CMake Installed"
echo -e "${INFO}Installing unzip..."
run_conda_quiet unzip
echo -e "${SUCCESS}unzip Installed"
if [ "$USE_HF" = "true" ]; then
echo -e "${INFO}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 [ "$USE_HF_MIRROR" = "true" ]; then
echo -e "${INFO}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 [ "$USE_MODELSCOPE" = "true" ]; then
echo -e "${INFO}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 [ ! -d "GPT_SoVITS/pretrained_models/sv" ]; then
echo -e "${INFO}Downloading Pretrained Models..."
rm -rf pretrained_models.zip
run_wget_quiet "$PRETRINED_URL"
unzip -q -o pretrained_models.zip -d GPT_SoVITS
rm -rf pretrained_models.zip
echo -e "${SUCCESS}Pretrained Models Downloaded"
else
echo -e "${INFO}Pretrained Model Exists"
echo -e "${INFO}Skip Downloading Pretrained Models"
fi
if [ ! -d "GPT_SoVITS/text/G2PWModel" ]; then
echo -e "${INFO}Downloading G2PWModel.."
rm -rf G2PWModel.zip
run_wget_quiet "$G2PW_URL"
unzip -q -o G2PWModel.zip -d GPT_SoVITS/text
rm -rf G2PWModel.zip
echo -e "${SUCCESS}G2PWModel Downloaded"
else
echo -e "${INFO}G2PWModel Exists"
echo -e "${INFO}Skip Downloading G2PWModel"
fi
if [ "$DOWNLOAD_UVR5" = "true" ]; then
if find -L "tools/uvr5/uvr5_weights" -mindepth 1 ! -name '.gitignore' | grep -q .; then
echo -e"${INFO}UVR5 Models Exists"
echo -e "${INFO}Skip Downloading UVR5 Models"
else
echo -e "${INFO}Downloading UVR5 Models..."
rm -rf uvr5_weights.zip
run_wget_quiet "$UVR5_URL"
unzip -q -o uvr5_weights.zip -d tools/uvr5
rm -rf uvr5_weights.zip
echo -e "${SUCCESS}UVR5 Models Downloaded"
fi
fi
if [ "$USE_CUDA" = true ] && [ "$WORKFLOW" = false ]; then
echo -e "${INFO}Checking For Nvidia Driver Installation..."
if command -v nvidia-smi &>/dev/null; then
echo "${INFO}Nvidia Driver Founded"
else
echo -e "${WARNING}Nvidia Driver Not Found, Fallback to CPU"
USE_CUDA=false
USE_CPU=true
fi
fi
if [ "$USE_ROCM" = true ] && [ "$WORKFLOW" = false ]; then
echo -e "${INFO}Checking For ROCm Installation..."
if [ -d "/opt/rocm" ]; then
echo -e "${INFO}ROCm Founded"
if grep -qi "microsoft" /proc/version; then
echo -e "${INFO}WSL2 Founded"
IS_WSL=true
else
IS_WSL=false
fi
else
echo -e "${WARNING}ROCm Not Found, Fallback to CPU"
USE_ROCM=false
USE_CPU=true
fi
fi
if [ "$USE_CUDA" = true ] && [ "$WORKFLOW" = false ]; then
if [ "$CUDA" = 128 ]; then
echo -e "${INFO}Installing PyTorch For CUDA 12.8..."
run_pip_quiet torch torchaudio --index-url "https://download.pytorch.org/whl/cu128"
elif [ "$CUDA" = 126 ]; then
echo -e "${INFO}Installing PyTorch For CUDA 12.6..."
run_pip_quiet torch torchaudio --index-url "https://download.pytorch.org/whl/cu126"
fi
elif [ "$USE_ROCM" = true ] && [ "$WORKFLOW" = false ]; then
echo -e "${INFO}Installing PyTorch For ROCm 6.2..."
run_pip_quiet torch torchaudio --index-url "https://download.pytorch.org/whl/rocm6.2"
elif [ "$USE_CPU" = true ] && [ "$WORKFLOW" = false ]; then
echo -e "${INFO}Installing PyTorch For CPU..."
run_pip_quiet torch torchaudio --index-url "https://download.pytorch.org/whl/cpu"
elif [ "$WORKFLOW" = false ]; then
echo -e "${ERROR}Unknown Err"
exit 1
fi
echo -e "${SUCCESS}PyTorch Installed"
echo -e "${INFO}Installing Python Dependencies From requirements.txt..."
hash -r
run_pip_quiet -r extra-req.txt --no-deps
run_pip_quiet -r requirements.txt
echo -e "${SUCCESS}Python Dependencies Installed"
PY_PREFIX=$(python -c "import sys; print(sys.prefix)")
PYOPENJTALK_PREFIX=$(python -c "import os, pyopenjtalk; print(os.path.dirname(pyopenjtalk.__file__))")
echo -e "${INFO}Downloading NLTK Data..."
rm -rf nltk_data.zip
run_wget_quiet "$NLTK_URL" -O nltk_data.zip
unzip -q -o nltk_data -d "$PY_PREFIX"
rm -rf nltk_data.zip
echo -e "${SUCCESS}NLTK Data Downloaded"
echo -e "${INFO}Downloading Open JTalk Dict..."
rm -rf open_jtalk_dic_utf_8-1.11.tar.gz
run_wget_quiet "$PYOPENJTALK_URL" -O open_jtalk_dic_utf_8-1.11.tar.gz
tar -xzf open_jtalk_dic_utf_8-1.11.tar.gz -C "$PYOPENJTALK_PREFIX"
rm -rf open_jtalk_dic_utf_8-1.11.tar.gz
echo -e "${SUCCESS}Open JTalk Dic Downloaded"
if [ "$USE_ROCM" = true ] && [ "$IS_WSL" = true ]; then
echo -e "${INFO}Updating WSL Compatible Runtime Lib For ROCm..."
location=$(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
echo -e "${SUCCESS}ROCm Runtime Lib Updated..."
fi
echo -e "${SUCCESS}Installation Completed"
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