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using System.Diagnostics;
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using System.Text.RegularExpressions;
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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.Progress;
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using StabilityMatrix.Core.Processes;
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using StabilityMatrix.Core.Services;
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namespace StabilityMatrix.Core.Models.Packages;
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public class Fooocus : BaseGitPackage
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{
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public Fooocus(IGithubApiCache githubApi, ISettingsManager settingsManager,
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IDownloadService downloadService, IPrerequisiteHelper prerequisiteHelper) : base(githubApi,
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settingsManager, downloadService, prerequisiteHelper)
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{
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}
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public override string Name => "Fooocus";
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public override string DisplayName { get; set; } = "Fooocus";
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public override string Author => "lllyasviel";
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public override string Blurb =>
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"Fooocus is a rethinking of Stable Diffusion and Midjourney’s designs";
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public override string LicenseType => "GPL-3.0";
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public override string LicenseUrl => "https://github.com/lllyasviel/Fooocus/blob/main/LICENSE";
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public override string LaunchCommand => "launch.py";
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public override Uri PreviewImageUri =>
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new("https://user-images.githubusercontent.com/19834515/261830306-f79c5981-cf80-4ee3-b06b-3fef3f8bfbc7.png");
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public override List<LaunchOptionDefinition> LaunchOptions => new()
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{
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LaunchOptionDefinition.Extras
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};
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public override Dictionary<SharedFolderType, IReadOnlyList<string>> SharedFolders => new()
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{
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[SharedFolderType.StableDiffusion] = new[] {"models/checkpoints"},
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[SharedFolderType.Diffusers] = new[] {"models/diffusers"},
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[SharedFolderType.Lora] = new[] {"models/loras"},
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[SharedFolderType.CLIP] = new[] {"models/clip"},
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[SharedFolderType.TextualInversion] = new[] {"models/embeddings"},
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[SharedFolderType.VAE] = new[] {"models/vae"},
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[SharedFolderType.ApproxVAE] = new[] {"models/vae_approx"},
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[SharedFolderType.ControlNet] = new[] {"models/controlnet"},
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[SharedFolderType.GLIGEN] = new[] {"models/gligen"},
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[SharedFolderType.ESRGAN] = new[] {"models/upscale_models"},
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[SharedFolderType.Hypernetwork] = new[] {"models/hypernetworks"}
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};
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public override async Task<string> GetLatestVersion()
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{
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var release = await GetLatestRelease().ConfigureAwait(false);
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return release.TagName!;
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}
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public override async Task InstallPackage(string installLocation, IProgress<ProgressReport>? progress = null)
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{
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await base.InstallPackage(installLocation, progress).ConfigureAwait(false);
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var venvRunner = await SetupVenv(installLocation).ConfigureAwait(false);
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progress?.Report(new ProgressReport(-1f, "Installing torch...", isIndeterminate: true));
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var torchVersion = "cpu";
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var gpus = HardwareHelper.IterGpuInfo().ToList();
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if (gpus.Any(g => g.IsNvidia))
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{
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torchVersion = "cu118";
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}
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else if (HardwareHelper.PreferRocm())
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{
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torchVersion = "rocm5.4.2";
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}
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await venvRunner
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.PipInstall(
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$"torch==2.0.1 torchvision==0.15.2 --extra-index-url https://download.pytorch.org/whl/{torchVersion}",
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OnConsoleOutput).ConfigureAwait(false);
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progress?.Report(new ProgressReport(-1f, "Installing requirements...",
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isIndeterminate: true));
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await venvRunner.PipInstall("-r requirements_versions.txt", OnConsoleOutput)
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.ConfigureAwait(false);
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}
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public override async Task RunPackage(string installedPackagePath, string command, string arguments)
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{
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await SetupVenv(installedPackagePath).ConfigureAwait(false);
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void HandleConsoleOutput(ProcessOutput s)
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{
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OnConsoleOutput(s);
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if (s.Text.Contains("Use the app with", StringComparison.OrdinalIgnoreCase))
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{
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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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{
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WebUrl = match.Value;
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}
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OnStartupComplete(WebUrl);
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}
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}
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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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var args = $"\"{Path.Combine(installedPackagePath, command)}\" {arguments}";
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VenvRunner?.RunDetached(
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args.TrimEnd(),
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HandleConsoleOutput,
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HandleExit);
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}
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}
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