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using System.Diagnostics;
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using System.Text.RegularExpressions;
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using StabilityMatrix.Core.Attributes;
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using StabilityMatrix.Core.Helper;
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using StabilityMatrix.Core.Helper.Cache;
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using StabilityMatrix.Core.Helper.HardwareInfo;
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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 OneTrainer(
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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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) : BaseGitPackage(githubApi, settingsManager, downloadService, prerequisiteHelper)
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{
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public override string Name => "OneTrainer";
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public override string DisplayName { get; set; } = "OneTrainer";
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public override string Author => "Nerogar";
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public override string Blurb =>
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"OneTrainer is a one-stop solution for all your stable diffusion training needs";
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public override string LicenseType => "AGPL-3.0";
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public override string LicenseUrl => "https://github.com/Nerogar/OneTrainer/blob/master/LICENSE.txt";
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public override string LaunchCommand => "scripts/train_ui.py";
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public override Uri PreviewImageUri =>
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new("https://github.com/Nerogar/OneTrainer/blob/master/resources/icons/icon.png?raw=true");
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public override string OutputFolderName => string.Empty;
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public override SharedFolderMethod RecommendedSharedFolderMethod => SharedFolderMethod.None;
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public override IEnumerable<TorchVersion> AvailableTorchVersions => [TorchVersion.Cuda];
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public override bool IsCompatible => HardwareHelper.HasNvidiaGpu();
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public override PackageType PackageType => PackageType.SdTraining;
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public override IEnumerable<SharedFolderMethod> AvailableSharedFolderMethods =>
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new[] { SharedFolderMethod.None };
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public override PackageDifficulty InstallerSortOrder => PackageDifficulty.Nightmare;
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public override bool OfferInOneClickInstaller => false;
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public override bool ShouldIgnoreReleases => true;
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public override IEnumerable<PackagePrerequisite> Prerequisites =>
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base.Prerequisites.Concat([PackagePrerequisite.Tkinter]);
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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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progress?.Report(new ProgressReport(-1f, "Setting up venv", isIndeterminate: true));
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await using var venvRunner = new PyVenvRunner(Path.Combine(installLocation, "venv"));
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venvRunner.WorkingDirectory = installLocation;
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await venvRunner.Setup(true, onConsoleOutput).ConfigureAwait(false);
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progress?.Report(new ProgressReport(-1f, "Installing requirements", isIndeterminate: true));
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var pipArgs = new PipInstallArgs("-r", "requirements.txt");
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await venvRunner.PipInstall(pipArgs, onConsoleOutput).ConfigureAwait(false);
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}
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public override async 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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)
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{
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await SetupVenv(installedPackagePath).ConfigureAwait(false);
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var args = $"\"{Path.Combine(installedPackagePath, command)}\" {arguments}";
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VenvRunner?.RunDetached(args.TrimEnd(), HandleConsoleOutput, HandleExit);
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return;
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void HandleExit(int i)
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{
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Debug.WriteLine($"Venv process exited with code {i}");
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OnExit(i);
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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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}
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}
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public override List<LaunchOptionDefinition> LaunchOptions => [LaunchOptionDefinition.Extras];
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public override Dictionary<SharedFolderType, IReadOnlyList<string>>? SharedFolders { get; }
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public override Dictionary<SharedOutputType, IReadOnlyList<string>>? SharedOutputFolders { get; }
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public override string MainBranch => "master";
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}
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