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445 lines
17 KiB
445 lines
17 KiB
using System.Globalization; |
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using System.Text.RegularExpressions; |
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using NLog; |
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using StabilityMatrix.Core.Attributes; |
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using StabilityMatrix.Core.Extensions; |
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using StabilityMatrix.Core.Helper; |
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using StabilityMatrix.Core.Helper.Cache; |
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using StabilityMatrix.Core.Models.FileInterfaces; |
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using StabilityMatrix.Core.Models.Progress; |
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using StabilityMatrix.Core.Processes; |
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using StabilityMatrix.Core.Python; |
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using StabilityMatrix.Core.Services; |
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namespace StabilityMatrix.Core.Models.Packages; |
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[Singleton(typeof(BasePackage))] |
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public class InvokeAI : BaseGitPackage |
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{ |
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private static readonly Logger Logger = LogManager.GetCurrentClassLogger(); |
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private const string RelativeRootPath = "invokeai-root"; |
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public override string Name => "InvokeAI"; |
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public override string DisplayName { get; set; } = "InvokeAI"; |
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public override string Author => "invoke-ai"; |
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public override string LicenseType => "Apache-2.0"; |
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public override string LicenseUrl => "https://github.com/invoke-ai/InvokeAI/blob/main/LICENSE"; |
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public override string Blurb => "Professional Creative Tools for Stable Diffusion"; |
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public override string LaunchCommand => "invokeai-web"; |
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public override PackageDifficulty InstallerSortOrder => PackageDifficulty.Nightmare; |
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public override IReadOnlyList<string> ExtraLaunchCommands => |
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new[] |
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{ |
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"invokeai-configure", |
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"invokeai-merge", |
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"invokeai-metadata", |
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"invokeai-model-install", |
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"invokeai-node-cli", |
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"invokeai-ti", |
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"invokeai-update", |
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}; |
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public override Uri PreviewImageUri => |
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new("https://raw.githubusercontent.com/invoke-ai/InvokeAI/main/docs/assets/canvas_preview.png"); |
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public override IEnumerable<SharedFolderMethod> AvailableSharedFolderMethods => |
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new[] { SharedFolderMethod.Symlink, SharedFolderMethod.None }; |
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public override SharedFolderMethod RecommendedSharedFolderMethod => SharedFolderMethod.Symlink; |
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public override string MainBranch => "main"; |
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public InvokeAI( |
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IGithubApiCache githubApi, |
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ISettingsManager settingsManager, |
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IDownloadService downloadService, |
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IPrerequisiteHelper prerequisiteHelper |
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) |
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: base(githubApi, settingsManager, downloadService, prerequisiteHelper) { } |
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public override Dictionary<SharedFolderType, IReadOnlyList<string>> SharedFolders => |
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new() |
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{ |
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[SharedFolderType.StableDiffusion] = new[] |
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{ |
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Path.Combine(RelativeRootPath, "autoimport", "main") |
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}, |
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[SharedFolderType.Lora] = new[] { Path.Combine(RelativeRootPath, "autoimport", "lora") }, |
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[SharedFolderType.TextualInversion] = new[] |
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{ |
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Path.Combine(RelativeRootPath, "autoimport", "embedding") |
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}, |
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[SharedFolderType.ControlNet] = new[] |
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{ |
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Path.Combine(RelativeRootPath, "autoimport", "controlnet") |
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}, |
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[SharedFolderType.InvokeIpAdapters15] = new[] |
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{ |
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Path.Combine(RelativeRootPath, "models", "sd-1", "ip_adapter") |
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}, |
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[SharedFolderType.InvokeIpAdaptersXl] = new[] |
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{ |
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Path.Combine(RelativeRootPath, "models", "sdxl", "ip_adapter") |
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}, |
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[SharedFolderType.InvokeClipVision] = new[] |
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{ |
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Path.Combine(RelativeRootPath, "models", "any", "clip_vision") |
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}, |
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[SharedFolderType.T2IAdapter] = new[] |
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{ |
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Path.Combine(RelativeRootPath, "autoimport", "t2i_adapter") |
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} |
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}; |
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public override Dictionary<SharedOutputType, IReadOnlyList<string>>? SharedOutputFolders => |
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new() { [SharedOutputType.Text2Img] = new[] { Path.Combine("invokeai-root", "outputs", "images") } }; |
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public override string OutputFolderName => Path.Combine("invokeai-root", "outputs", "images"); |
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// https://github.com/invoke-ai/InvokeAI/blob/main/docs/features/CONFIGURATION.md |
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public override List<LaunchOptionDefinition> LaunchOptions => |
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[ |
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new LaunchOptionDefinition |
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{ |
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Name = "Host", |
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Type = LaunchOptionType.String, |
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DefaultValue = "localhost", |
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Options = ["--host"] |
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}, |
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new LaunchOptionDefinition |
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{ |
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Name = "Port", |
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Type = LaunchOptionType.String, |
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DefaultValue = "9090", |
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Options = ["--port"] |
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}, |
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new LaunchOptionDefinition |
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{ |
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Name = "Allow Origins", |
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Description = |
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"List of host names or IP addresses that are allowed to connect to the " |
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+ "InvokeAI API in the format ['host1','host2',...]", |
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Type = LaunchOptionType.String, |
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DefaultValue = "[]", |
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Options = ["--allow-origins"] |
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}, |
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new LaunchOptionDefinition |
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{ |
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Name = "Always use CPU", |
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Type = LaunchOptionType.Bool, |
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Options = ["--always_use_cpu"] |
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}, |
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new LaunchOptionDefinition |
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{ |
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Name = "Precision", |
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Type = LaunchOptionType.Bool, |
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Options = ["--precision auto", "--precision float16", "--precision float32"] |
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}, |
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new LaunchOptionDefinition |
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{ |
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Name = "Aggressively free up GPU memory after each operation", |
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Type = LaunchOptionType.Bool, |
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Options = ["--free_gpu_mem"] |
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}, |
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LaunchOptionDefinition.Extras |
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]; |
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public override IEnumerable<TorchVersion> AvailableTorchVersions => |
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new[] { TorchVersion.Cpu, TorchVersion.Cuda, TorchVersion.Rocm, TorchVersion.Mps }; |
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public override TorchVersion GetRecommendedTorchVersion() |
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{ |
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if (Compat.IsMacOS && Compat.IsArm) |
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{ |
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return TorchVersion.Mps; |
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} |
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return base.GetRecommendedTorchVersion(); |
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} |
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public override async Task InstallPackage( |
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string installLocation, |
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TorchVersion torchVersion, |
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SharedFolderMethod selectedSharedFolderMethod, |
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DownloadPackageVersionOptions versionOptions, |
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IProgress<ProgressReport>? progress = null, |
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Action<ProcessOutput>? onConsoleOutput = null |
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) |
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{ |
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// Setup venv |
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progress?.Report(new ProgressReport(-1f, "Setting up venv", isIndeterminate: true)); |
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var venvPath = Path.Combine(installLocation, "venv"); |
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var exists = Directory.Exists(venvPath); |
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await using var venvRunner = new PyVenvRunner(venvPath); |
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venvRunner.WorkingDirectory = installLocation; |
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await venvRunner.Setup(true, onConsoleOutput).ConfigureAwait(false); |
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venvRunner.EnvironmentVariables = GetEnvVars(installLocation); |
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progress?.Report(new ProgressReport(-1f, "Installing Package", isIndeterminate: true)); |
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await PrerequisiteHelper.InstallNodeIfNecessary(progress).ConfigureAwait(false); |
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await PrerequisiteHelper.RunNpm(["i", "pnpm"], installLocation).ConfigureAwait(false); |
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var pnpmPath = Path.Combine( |
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installLocation, |
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"node_modules", |
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".bin", |
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Compat.IsWindows ? "pnpm.cmd" : "pnpm" |
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); |
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var invokeFrontendPath = Path.Combine(installLocation, "invokeai", "frontend", "web"); |
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var process = ProcessRunner.StartProcess( |
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pnpmPath, |
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"i --ignore-scripts=true", |
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invokeFrontendPath, |
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s => onConsoleOutput?.Invoke(new ProcessOutput { Text = s }), |
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venvRunner.EnvironmentVariables |
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); |
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await process.WaitForExitAsync().ConfigureAwait(false); |
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process = ProcessRunner.StartProcess( |
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pnpmPath, |
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"build", |
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invokeFrontendPath, |
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s => onConsoleOutput?.Invoke(new ProcessOutput { Text = s }), |
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venvRunner.EnvironmentVariables |
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); |
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await process.WaitForExitAsync().ConfigureAwait(false); |
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var pipCommandArgs = "-e . --use-pep517 --extra-index-url https://download.pytorch.org/whl/cpu"; |
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switch (torchVersion) |
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{ |
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// If has Nvidia Gpu, install CUDA version |
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case TorchVersion.Cuda: |
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progress?.Report( |
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new ProgressReport(-1f, "Installing PyTorch for CUDA", isIndeterminate: true) |
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); |
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var args = new List<Argument>(); |
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if (exists) |
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{ |
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var pipPackages = await venvRunner.PipList().ConfigureAwait(false); |
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var hasCuda121 = pipPackages.Any(p => p.Name == "torch" && p.Version.Contains("cu121")); |
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if (!hasCuda121) |
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{ |
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args.Add("--upgrade"); |
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args.Add("--force-reinstall"); |
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} |
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} |
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await venvRunner |
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.PipInstall( |
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new PipInstallArgs(args.Any() ? args.ToArray() : Array.Empty<Argument>()) |
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.WithTorch("==2.1.2") |
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.WithTorchVision("==0.16.2") |
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.WithXFormers("==0.0.23post1") |
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.WithTorchExtraIndex("cu121"), |
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onConsoleOutput |
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) |
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.ConfigureAwait(false); |
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Logger.Info("Starting InvokeAI install (CUDA)..."); |
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pipCommandArgs = |
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"-e .[xformers] --use-pep517 --extra-index-url https://download.pytorch.org/whl/cu121"; |
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break; |
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// For AMD, Install ROCm version |
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case TorchVersion.Rocm: |
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await venvRunner |
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.PipInstall( |
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new PipInstallArgs() |
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.WithTorch("==2.0.1") |
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.WithTorchVision() |
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.WithExtraIndex("rocm5.4.2"), |
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onConsoleOutput |
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) |
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.ConfigureAwait(false); |
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Logger.Info("Starting InvokeAI install (ROCm)..."); |
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pipCommandArgs = |
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"-e . --use-pep517 --extra-index-url https://download.pytorch.org/whl/rocm5.4.2"; |
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break; |
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case TorchVersion.Mps: |
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// For Apple silicon, use MPS |
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Logger.Info("Starting InvokeAI install (MPS)..."); |
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pipCommandArgs = "-e . --use-pep517"; |
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break; |
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} |
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await venvRunner |
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.PipInstall($"{pipCommandArgs}{(exists ? " --upgrade" : "")}", onConsoleOutput) |
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.ConfigureAwait(false); |
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await venvRunner.PipInstall("rich packaging python-dotenv", onConsoleOutput).ConfigureAwait(false); |
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progress?.Report(new ProgressReport(-1f, "Configuring InvokeAI", isIndeterminate: true)); |
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// need to setup model links before running invokeai-configure so it can do its conversion |
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await SetupModelFolders(installLocation, selectedSharedFolderMethod).ConfigureAwait(false); |
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await RunInvokeCommand( |
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installLocation, |
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"invokeai-configure", |
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"--yes --skip-sd-weights", |
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true, |
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onConsoleOutput, |
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spam3: true |
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) |
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.ConfigureAwait(false); |
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await VenvRunner.Process.WaitForExitAsync(); |
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progress?.Report(new ProgressReport(1f, "Done!", isIndeterminate: false)); |
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} |
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public override Task RunPackage( |
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string installedPackagePath, |
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string command, |
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string arguments, |
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Action<ProcessOutput>? onConsoleOutput |
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) => RunInvokeCommand(installedPackagePath, command, arguments, true, onConsoleOutput); |
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private async Task RunInvokeCommand( |
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string installedPackagePath, |
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string command, |
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string arguments, |
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bool runDetached, |
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Action<ProcessOutput>? onConsoleOutput, |
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bool spam3 = false |
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) |
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{ |
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if (spam3 && !runDetached) |
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{ |
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throw new InvalidOperationException("Cannot spam 3 if not running detached"); |
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} |
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await SetupVenv(installedPackagePath).ConfigureAwait(false); |
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arguments = command switch |
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{ |
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"invokeai-configure" => "--yes --skip-sd-weights", |
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_ => arguments |
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}; |
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VenvRunner.EnvironmentVariables = GetEnvVars(installedPackagePath); |
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// Launch command is for a console entry point, and not a direct script |
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var entryPoint = await VenvRunner.GetEntryPoint(command).ConfigureAwait(false); |
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// Split at ':' to get package and function |
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var split = entryPoint?.Split(':'); |
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if (split is not { Length: > 1 }) |
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{ |
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throw new Exception($"Could not find entry point for InvokeAI: {entryPoint.ToRepr()}"); |
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} |
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// Compile a startup command according to |
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// https://packaging.python.org/en/latest/specifications/entry-points/#use-for-scripts |
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// For invokeai, also patch the shutil.get_terminal_size function to return a fixed value |
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// above the minimum in invokeai.frontend.install.widgets |
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var code = $""" |
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try: |
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import os |
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import shutil |
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from invokeai.frontend.install import widgets |
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_min_cols = widgets.MIN_COLS |
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_min_lines = widgets.MIN_LINES |
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static_size_fn = lambda: os.terminal_size((_min_cols, _min_lines)) |
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shutil.get_terminal_size = static_size_fn |
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widgets.get_terminal_size = static_size_fn |
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except Exception as e: |
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import warnings |
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warnings.warn('Could not patch terminal size for InvokeAI' + str(e)) |
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import sys |
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from {split[0]} import {split[1]} |
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sys.exit({split[1]}()) |
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"""; |
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if (runDetached) |
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{ |
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void HandleConsoleOutput(ProcessOutput s) |
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{ |
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onConsoleOutput?.Invoke(s); |
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if ( |
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spam3 && s.Text.Contains("[3] Accept the best guess;", StringComparison.OrdinalIgnoreCase) |
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) |
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{ |
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VenvRunner.Process?.StandardInput.WriteLine("3"); |
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return; |
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} |
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if (!s.Text.Contains("running on", StringComparison.OrdinalIgnoreCase)) |
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return; |
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var regex = new Regex(@"(https?:\/\/)([^:\s]+):(\d+)"); |
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var match = regex.Match(s.Text); |
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if (!match.Success) |
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return; |
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WebUrl = match.Value; |
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OnStartupComplete(WebUrl); |
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} |
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VenvRunner.RunDetached($"-c \"{code}\" {arguments}".TrimEnd(), HandleConsoleOutput, OnExit); |
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} |
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else |
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{ |
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var result = await VenvRunner.Run($"-c \"{code}\" {arguments}".TrimEnd()).ConfigureAwait(false); |
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onConsoleOutput?.Invoke(new ProcessOutput { Text = result.StandardOutput }); |
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} |
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} |
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private Dictionary<string, string> GetEnvVars(DirectoryPath installPath) |
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{ |
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// Set additional required environment variables |
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var env = new Dictionary<string, string>(); |
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if (SettingsManager.Settings.EnvironmentVariables is not null) |
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{ |
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env.Update(SettingsManager.Settings.EnvironmentVariables); |
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} |
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// Need to make subdirectory because they store config in the |
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// directory *above* the root directory |
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var root = installPath.JoinDir(RelativeRootPath); |
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root.Create(); |
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env["INVOKEAI_ROOT"] = root; |
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if (env.ContainsKey("PATH")) |
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{ |
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env["PATH"] += |
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$"{Compat.PathDelimiter}{Path.Combine(SettingsManager.LibraryDir, "Assets", "nodejs")}"; |
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} |
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else |
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{ |
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env["PATH"] = Path.Combine(SettingsManager.LibraryDir, "Assets", "nodejs"); |
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} |
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env["PATH"] += $"{Compat.PathDelimiter}{Path.Combine(installPath, "node_modules", ".bin")}"; |
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env["PATH"] += |
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$"{Compat.PathDelimiter}{Path.Combine(installPath, "invokeai", "frontend", "web", "node_modules", ".bin")}"; |
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if (Compat.IsMacOS || Compat.IsLinux) |
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{ |
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env["PATH"] += |
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$"{Compat.PathDelimiter}{Path.Combine(SettingsManager.LibraryDir, "Assets", "nodejs", "bin")}"; |
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} |
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if (Compat.IsWindows) |
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{ |
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env["PATH"] += |
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$"{Compat.PathDelimiter}{Environment.GetFolderPath(Environment.SpecialFolder.System)}"; |
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} |
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return env; |
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} |
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}
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