Add Windows Install Powershell Scripts (#2487)

README.md

@@ -64,6 +64,14 @@ If you are a Windows user (tested with win>=10), you can [download the integrate
 
 **Users in China can [download the package here](https://www.yuque.com/baicaigongchang1145haoyuangong/ib3g1e/dkxgpiy9zb96hob4#KTvnO).**
 
+Install the program by running the following commands:
+
+```pwsh
+conda create -n GPTSoVits python=3.10
+conda activate GPTSoVits
+pwsh -F install.ps1 --Device <CU126|CU128|CPU> --Source <HF|HF-Mirror|ModelScope> [--DownloadUVR5]
+```
+
 ### Linux
 
 ```bash

docs/cn/README.md

@@ -62,6 +62,12 @@
 
 **中国地区的用户可以[在此处下载整合包](https://www.yuque.com/baicaigongchang1145haoyuangong/ib3g1e/dkxgpiy9zb96hob4#KTvnO).**
 
+```pwsh
+conda create -n GPTSoVits python=3.10
+conda activate GPTSoVits
+pwsh -F install.ps1 --Device <CU126|CU128|CPU> --Source <HF|HF-Mirror|ModelScope> [--DownloadUVR5]
+```
+
 ### Linux
 
 ```bash

docs/ko/README.md

@@ -58,6 +58,12 @@ https://github.com/RVC-Boss/GPT-SoVITS/assets/129054828/05bee1fa-bdd8-4d85-9350-
 
 Windows 사용자라면 (win>=10에서 테스트됨), [통합 패키지를 다운로드](https://huggingface.co/lj1995/GPT-SoVITS-windows-package/resolve/main/GPT-SoVITS-v3lora-20250228.7z?download=true)한 후 압축을 풀고 _go-webui.bat_ 파일을 더블 클릭하면 GPT-SoVITS-WebUI를 시작할 수 있습니다.
 
+```pwsh
+conda create -n GPTSoVits python=3.10
+conda activate GPTSoVits
+pwsh -F install.ps1 --Device <CU126|CU128|CPU> --Source <HF|HF-Mirror|ModelScope> [--DownloadUVR5]
+```
+
 ### Linux
 
 ```bash

docs/tr/README.md

@@ -58,6 +58,12 @@ https://github.com/RVC-Boss/GPT-SoVITS/assets/129054828/05bee1fa-bdd8-4d85-9350-
 
 Eğer bir Windows kullanıcısıysanız (win>=10 ile test edilmiştir), [entegre paketi indirin](https://huggingface.co/lj1995/GPT-SoVITS-windows-package/resolve/main/GPT-SoVITS-v3lora-20250228.7z?download=true) ve _go-webui.bat_ dosyasına çift tıklayarak GPT-SoVITS-WebUI'yi başlatın.
 
+```pwsh
+conda create -n GPTSoVits python=3.10
+conda activate GPTSoVits
+pwsh -F install.ps1 --Device <CU126|CU128|CPU> --Source <HF|HF-Mirror|ModelScope> [--DownloadUVR5]
+```
+
 ### Linux
 
 ```bash

install.ps1

@@ -0,0 +1,241 @@
+Param (
+    [Parameter(Mandatory=$true)][ValidateSet("CU126", "CU128", "CPU")][string]$Device,
+    [Parameter(Mandatory=$true)][ValidateSet("HF", "HF-Mirror", "ModelScope")][string]$Source,
+    [switch]$DownloadUVR5
+)
+
+$global:ErrorActionPreference = 'Stop'
+
+trap {
+    Write-ErrorLog $_
+}
+
+function Write-ErrorLog {
+    param (
+        [System.Management.Automation.ErrorRecord]$ErrorRecord
+    )
+
+    Write-Host "`n[ERROR] Command failed:" -ForegroundColor Red
+    if (-not $ErrorRecord.Exception.Message){
+    } else {
+        Write-Host "Message:" -ForegroundColor Red 
+        $ErrorRecord.Exception.Message -split "`n" | ForEach-Object {
+            Write-Host "    $_"
+        }
+    }
+
+    Write-Host "Command:" -ForegroundColor Red  -NoNewline
+    Write-Host " $($ErrorRecord.InvocationInfo.Line)".Replace("`r", "").Replace("`n", "")
+    Write-Host "Location:" -ForegroundColor Red -NoNewline
+    Write-Host " $($ErrorRecord.InvocationInfo.ScriptName):$($ErrorRecord.InvocationInfo.ScriptLineNumber)"
+    Write-Host "Call Stack:" -ForegroundColor DarkRed
+    $ErrorRecord.ScriptStackTrace -split "`n" | ForEach-Object {
+        Write-Host "    $_" -ForegroundColor DarkRed
+    }
+
+    exit 1
+}
+
+function Write-Info($msg) {
+    Write-Host "[INFO]:" -ForegroundColor Green -NoNewline
+    Write-Host " $msg"
+}
+function Write-Success($msg) {
+    Write-Host "[SUCCESS]:" -ForegroundColor Blue -NoNewline
+    Write-Host " $msg"
+}
+
+
+function Invoke-Conda {
+    param (
+        [Parameter(ValueFromRemainingArguments = $true)]
+        [string[]]$Args
+    )
+
+    $output = & conda install -y -q -c conda-forge @Args 2>&1
+    $exitCode = $LASTEXITCODE
+
+    if ($exitCode -ne 0) {
+        Write-Host "Conda Install $Args Failed" -ForegroundColor Red
+        $errorMessages = @()
+        foreach ($item in $output) {
+            if ($item -is [System.Management.Automation.ErrorRecord]) {
+                $msg = $item.Exception.Message
+                Write-Host "$msg" -ForegroundColor Red
+                $errorMessages += $msg
+            }
+            else {
+                Write-Host $item
+                $errorMessages += $item
+            }
+        }
+        throw [System.Exception]::new(($errorMessages -join "`n"))
+    }
+}
+
+function Invoke-Pip {
+    param (
+        [Parameter(ValueFromRemainingArguments = $true)]
+        [string[]]$Args
+    )
+    
+    $output = & pip install @Args 2>&1
+    $exitCode = $LASTEXITCODE
+    
+    if ($exitCode -ne 0) {
+        $errorMessages = @()
+        Write-Host "Pip Install $Args Failed" -ForegroundColor Red
+        foreach ($item in $output) {
+            if ($item -is [System.Management.Automation.ErrorRecord]) {
+                $msg = $item.Exception.Message
+                Write-Host "$msg" -ForegroundColor Red
+                $errorMessages += $msg
+            }
+            else {
+                Write-Host $item
+                $errorMessages += $item
+            }
+        }
+        throw [System.Exception]::new(($errorMessages -join "`n"))
+    }
+}
+
+function Invoke-Download {
+    param (
+        [Parameter(Mandatory = $true)]
+        [string]$Uri,
+
+        [Parameter()]
+        [string]$OutFile
+    )
+
+    try {
+        $params = @{
+            Uri = $Uri
+        }
+
+        if ($OutFile) {
+            $params["OutFile"] = $OutFile
+        }
+
+        $null = Invoke-WebRequest @params -ErrorAction Stop
+
+    } catch {
+        Write-Host "Failed to download:" -ForegroundColor Red
+        Write-Host "  $Uri"
+        throw
+    }
+}
+
+function Invoke-Unzip {
+    param($ZipPath, $DestPath)
+    Expand-Archive -Path $ZipPath -DestinationPath $DestPath -Force
+    Remove-Item $ZipPath -Force
+}
+
+chcp 65001
+Set-Location $PSScriptRoot
+
+Write-Info "Installing FFmpeg & CMake..."
+Invoke-Conda  ffmpeg cmake
+Write-Success "FFmpeg & CMake Installed"
+
+$PretrainedURL  = ""
+$G2PWURL        = ""
+$UVR5URL        = ""
+$NLTKURL        = ""
+$OpenJTalkURL   = ""
+
+switch ($Source) {
+    "HF" {
+        Write-Info "Download Model From HuggingFace"
+        $PretrainedURL = "https://huggingface.co/XXXXRT/GPT-SoVITS-Pretrained/resolve/main/pretrained_models.zip"
+        $G2PWURL       = "https://huggingface.co/XXXXRT/GPT-SoVITS-Pretrained/resolve/main/G2PWModel.zip"
+        $UVR5URL       = "https://huggingface.co/XXXXRT/GPT-SoVITS-Pretrained/resolve/main/uvr5_weights.zip"
+        $NLTKURL       = "https://huggingface.co/XXXXRT/GPT-SoVITS-Pretrained/resolve/main/nltk_data.zip"
+        $OpenJTalkURL  = "https://huggingface.co/XXXXRT/GPT-SoVITS-Pretrained/resolve/main/open_jtalk_dic_utf_8-1.11.tar.gz"
+    }
+    "HF-Mirror" {
+        Write-Info "Download Model From HuggingFace-Mirror"
+        $PretrainedURL = "https://hf-mirror.com/XXXXRT/GPT-SoVITS-Pretrained/resolve/main/pretrained_models.zip"
+        $G2PWURL       = "https://hf-mirror.com/XXXXRT/GPT-SoVITS-Pretrained/resolve/main/G2PWModel.zip"
+        $UVR5URL       = "https://hf-mirror.com/XXXXRT/GPT-SoVITS-Pretrained/resolve/main/uvr5_weights.zip"
+        $NLTKURL       = "https://hf-mirror.com/XXXXRT/GPT-SoVITS-Pretrained/resolve/main/nltk_data.zip"
+        $OpenJTalkURL  = "https://hf-mirror.com/XXXXRT/GPT-SoVITS-Pretrained/resolve/main/open_jtalk_dic_utf_8-1.11.tar.gz"
+    }
+    "ModelScope" {
+        Write-Info "Download Model From ModelScope"
+        $PretrainedURL = "https://www.modelscope.cn/models/XXXXRT/GPT-SoVITS-Pretrained/resolve/master/pretrained_models.zip"
+        $G2PWURL       = "https://www.modelscope.cn/models/XXXXRT/GPT-SoVITS-Pretrained/resolve/master/G2PWModel.zip"
+        $UVR5URL       = "https://www.modelscope.cn/models/XXXXRT/GPT-SoVITS-Pretrained/resolve/master/uvr5_weights.zip"
+        $NLTKURL       = "https://www.modelscope.cn/models/XXXXRT/GPT-SoVITS-Pretrained/resolve/master/nltk_data.zip"
+        $OpenJTalkURL  = "https://www.modelscope.cn/models/XXXXRT/GPT-SoVITS-Pretrained/resolve/master/open_jtalk_dic_utf_8-1.11.tar.gz"
+    }
+}
+
+if (-not (Test-Path "GPT_SoVITS/pretrained_models/sv")) {
+    Write-Info "Downloading Pretrained Models..."
+    Invoke-Download -Uri $PretrainedURL -OutFile "pretrained_models.zip"
+    Invoke-Unzip "pretrained_models.zip" "GPT_SoVITS"
+    Write-Success "Pretrained Models Downloaded"
+} else {
+    Write-Info "Pretrained Model Exists"
+    Write-Info "Skip Downloading Pretrained Models"
+}
+
+
+if (-not (Test-Path "GPT_SoVITS/text/G2PWModel")) {
+    Write-Info "Downloading G2PWModel..."
+    Invoke-Download -Uri $G2PWURL -OutFile "G2PWModel.zip"
+    Invoke-Unzip "G2PWModel.zip" "GPT_SoVITS/text"
+    Write-Success "G2PWModel Downloaded"
+} else {
+    Write-Info "G2PWModel Exists"
+    Write-Info "Skip Downloading G2PWModel"
+}
+
+if ($DownloadUVR5) {
+    if (-not (Test-Path "tools/uvr5/uvr5_weights")) {
+        Write-Info "Downloading UVR5 Models..."
+        Invoke-Download -Uri $UVR5URL -OutFile "uvr5_weights.zip"
+        Invoke-Unzip "uvr5_weights.zip" "tools/uvr5"
+        Write-Success "UVR5 Models Downloaded"
+    } else {
+        Write-Info "UVR5 Models Exists"
+        Write-Info "Skip Downloading UVR5 Models"
+    }
+}
+
+switch ($Device) {
+    "CU128" {
+        Write-Info "Installing PyTorch For CUDA 12.8..."
+        Invoke-Pip torch torchaudio --index-url "https://download.pytorch.org/whl/cu128"
+    }
+    "CU126" {
+        Write-Info "Installing PyTorch For CUDA 12.6..."
+        Invoke-Pip torch torchaudio --index-url "https://download.pytorch.org/whl/cu126"
+    }
+    "CPU" {
+        Write-Info "Installing PyTorch For CPU..."
+        Invoke-Pip torch torchaudio --index-url "https://download.pytorch.org/whl/cpu"
+    }
+}
+Write-Success "PyTorch Installed"
+
+Write-Info "Installing Python Dependencies From requirements.txt..."
+Invoke-Pip -r extra-req.txt --no-deps
+Invoke-Pip -r requirements.txt
+Write-Success "Python Dependencies Installed"
+
+Write-Info "Downloading NLTK Data..."
+Invoke-Download -Uri $NLTKURL -OutFile "nltk_data.zip"
+Invoke-Unzip "nltk_data.zip" (python -c "import sys; print(sys.prefix)").Trim()
+
+Write-Info "Downloading Open JTalk Dict..."
+Invoke-Download -Uri $OpenJTalkURL -OutFile "open_jtalk_dic_utf_8-1.11.tar.gz"
+$target = (python -c "import os, pyopenjtalk; print(os.path.dirname(pyopenjtalk.__file__))").Trim()
+tar -xzf open_jtalk_dic_utf_8-1.11.tar.gz -C $target
+Remove-Item "open_jtalk_dic_utf_8-1.11.tar.gz" -Force
+Write-Success "Open JTalk Dic Downloaded"
+
+Write-Success "Installation Completed"

install.sh

@@ -48,11 +48,12 @@ run_pip_quiet() {
 }
 
 run_wget_quiet() {
-    local output
+    if wget --tries=25 --wait=5 --read-timeout=40 -q --show-progress "$@" 2>&1; then
-    output=$(wget --tries=25 --wait=5 --read-timeout=40 --retry-on-http-error=404 "$@" 2>&1) || {
+        tput cuu1 && tput el
-        echo -e "${ERROR} Wget failed:\n$output"
+    else
+        echo -e "${ERROR} Wget failed"
         exit 1
-    }
+    fi
 }
 
 if ! command -v conda &>/dev/null; then
@@ -171,10 +172,13 @@ if ! $USE_HF && ! $USE_HF_MIRROR && ! $USE_MODELSCOPE; then
 fi
 
 case "$(uname -m)" in
-  x86_64|amd64)   SYSROOT_PKG="sysroot_linux-64>=2.28"       ;;
+x86_64 | amd64) SYSROOT_PKG="sysroot_linux-64>=2.28" ;;
-  aarch64|arm64)  SYSROOT_PKG="sysroot_linux-aarch64>=2.28"  ;;
+aarch64 | arm64) SYSROOT_PKG="sysroot_linux-aarch64>=2.28" ;;
-  ppc64le)        SYSROOT_PKG="sysroot_linux-ppc64le>=2.28"  ;;
+ppc64le) SYSROOT_PKG="sysroot_linux-ppc64le>=2.28" ;;
-  *) echo "Unsupported architecture: $(uname -m)"; exit 1 ;;
+*)
+    echo "Unsupported architecture: $(uname -m)"
+    exit 1
+    ;;
 esac
 
 # Install build tools
@@ -248,10 +252,7 @@ elif [ "$USE_MODELSCOPE" = "true" ]; then
     PYOPENJTALK_URL="https://www.modelscope.cn/models/XXXXRT/GPT-SoVITS-Pretrained/resolve/master/open_jtalk_dic_utf_8-1.11.tar.gz"
 fi
 
-if find -L "GPT_SoVITS/pretrained_models" -mindepth 1 ! -name '.gitignore' | grep -q .; then
+if [ ! -d "GPT_SoVITS/pretrained_models/sv" ]; then
-    echo -e "${INFO}Pretrained Model Exists"
-    echo -e "${INFO}Skip Downloading Pretrained Models"
-else
     echo -e "${INFO}Downloading Pretrained Models..."
     rm -rf pretrained_models.zip
     run_wget_quiet "$PRETRINED_URL"
@@ -259,6 +260,9 @@ else
     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