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using System.Diagnostics;
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using System.Diagnostics.CodeAnalysis;
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using System.Text.RegularExpressions;
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using NLog;
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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.Python;
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using StabilityMatrix.Core.Services;
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namespace StabilityMatrix.Core.Models.Packages;
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public class A3WebUI : BaseGitPackage
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{
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private static readonly Logger Logger = LogManager.GetCurrentClassLogger();
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public override string Name => "stable-diffusion-webui";
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public override string DisplayName { get; set; } = "Stable Diffusion WebUI";
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public override string Author => "AUTOMATIC1111";
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public override string LicenseType => "AGPL-3.0";
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public override string LicenseUrl =>
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"https://github.com/AUTOMATIC1111/stable-diffusion-webui/blob/master/LICENSE.txt";
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public override string Blurb =>
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"A browser interface based on Gradio library for Stable Diffusion";
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public override string LaunchCommand => "launch.py";
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public override Uri PreviewImageUri =>
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new("https://github.com/AUTOMATIC1111/stable-diffusion-webui/raw/master/screenshot.png");
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public string RelativeArgsDefinitionScriptPath => "modules.cmd_args";
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public A3WebUI(IGithubApiCache githubApi, ISettingsManager settingsManager, IDownloadService downloadService,
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IPrerequisiteHelper prerequisiteHelper) :
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base(githubApi, settingsManager, downloadService, prerequisiteHelper)
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{
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}
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// From https://github.com/AUTOMATIC1111/stable-diffusion-webui/tree/master/models
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public override Dictionary<SharedFolderType, string> SharedFolders => new()
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{
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[SharedFolderType.StableDiffusion] = "models/Stable-diffusion",
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[SharedFolderType.ESRGAN] = "models/ESRGAN",
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[SharedFolderType.RealESRGAN] = "models/RealESRGAN",
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[SharedFolderType.SwinIR] = "models/SwinIR",
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[SharedFolderType.Lora] = "models/Lora",
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[SharedFolderType.LyCORIS] = "models/LyCORIS",
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[SharedFolderType.ApproxVAE] = "models/VAE-approx",
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[SharedFolderType.VAE] = "models/VAE",
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[SharedFolderType.DeepDanbooru] = "models/deepbooru",
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[SharedFolderType.Karlo] = "models/karlo",
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[SharedFolderType.TextualInversion] = "embeddings",
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[SharedFolderType.Hypernetwork] = "models/hypernetworks",
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[SharedFolderType.ControlNet] = "models/ControlNet"
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};
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[SuppressMessage("ReSharper", "ArrangeObjectCreationWhenTypeNotEvident")]
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public override List<LaunchOptionDefinition> LaunchOptions => new()
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{
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new()
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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 = new() {"--host"}
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},
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new()
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{
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Name = "Port",
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Type = LaunchOptionType.String,
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DefaultValue = "7860",
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Options = new() {"--port"}
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},
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new()
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{
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Name = "VRAM",
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Type = LaunchOptionType.Bool,
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InitialValue = HardwareHelper.IterGpuInfo().Select(gpu => gpu.MemoryLevel).Max() switch
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{
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Level.Low => "--lowvram",
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Level.Medium => "--medvram",
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_ => null
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},
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Options = new() { "--lowvram", "--medvram" }
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},
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new()
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{
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Name = "Xformers",
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Type = LaunchOptionType.Bool,
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InitialValue = HardwareHelper.HasNvidiaGpu(),
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Options = new() { "--xformers" }
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},
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new()
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{
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Name = "API",
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Type = LaunchOptionType.Bool,
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InitialValue = true,
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Options = new() {"--api"}
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},
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new()
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{
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Name = "Skip Torch CUDA Check",
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Type = LaunchOptionType.Bool,
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InitialValue = !HardwareHelper.HasNvidiaGpu(),
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Options = new() {"--skip-torch-cuda-test"}
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},
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new()
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{
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Name = "Skip Python Version Check",
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Type = LaunchOptionType.Bool,
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InitialValue = true,
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Options = new() {"--skip-python-version-check"}
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},
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LaunchOptionDefinition.Extras
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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(IProgress<ProgressReport>? progress = null)
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{
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await UnzipPackage(progress);
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progress?.Report(new ProgressReport(-1, "Setting up venv", isIndeterminate: true));
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// Setup venv
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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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if (!venvRunner.Exists())
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{
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await venvRunner.Setup().ConfigureAwait(false);
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}
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// Install torch / xformers based on gpu info
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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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progress?.Report(new ProgressReport(-1, "Installing PyTorch for CUDA", isIndeterminate: true));
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Logger.Info("Starting torch install (CUDA)...");
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await venvRunner.PipInstall(PyVenvRunner.TorchPipInstallArgsCuda, OnConsoleOutput)
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.ConfigureAwait(false);
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Logger.Info("Installing xformers...");
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await venvRunner.PipInstall("xformers", OnConsoleOutput).ConfigureAwait(false);
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}
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else
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{
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progress?.Report(new ProgressReport(-1, "Installing PyTorch for CPU", isIndeterminate: true));
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Logger.Info("Starting torch install (CPU)...");
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await venvRunner.PipInstall(PyVenvRunner.TorchPipInstallArgsCpu, OnConsoleOutput).ConfigureAwait(false);
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}
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// Install requirements file
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progress?.Report(new ProgressReport(-1, "Installing Package Requirements", isIndeterminate: true));
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Logger.Info("Installing requirements_versions.txt");
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await venvRunner.PipInstall($"-r requirements_versions.txt", OnConsoleOutput).ConfigureAwait(false);
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progress?.Report(new ProgressReport(1, "Installing Package Requirements", isIndeterminate: 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("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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var args = $"\"{Path.Combine(installedPackagePath, command)}\" {arguments}";
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VenvRunner.RunDetached(args.TrimEnd(), HandleConsoleOutput, OnExit);
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}
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}
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