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143 lines
5.4 KiB
143 lines
5.4 KiB
using System.Text.Json.Nodes; |
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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.FileInterfaces; |
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using StabilityMatrix.Core.Models.Packages.Extensions; |
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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 SDWebForge( |
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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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) : A3WebUI(githubApi, settingsManager, downloadService, prerequisiteHelper) |
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{ |
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public override string Name => "stable-diffusion-webui-forge"; |
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public override string DisplayName { get; set; } = "Stable Diffusion WebUI Forge"; |
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public override string Author => "lllyasviel"; |
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public override string Blurb => |
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"Stable Diffusion WebUI Forge is a platform on top of Stable Diffusion WebUI (based on Gradio) to make development easier, optimize resource management, and speed up inference."; |
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public override string LicenseUrl => |
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"https://github.com/lllyasviel/stable-diffusion-webui-forge/blob/main/LICENSE.txt"; |
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public override Uri PreviewImageUri => |
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new( |
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"https://github.com/lllyasviel/stable-diffusion-webui-forge/assets/19834515/ca5e05ed-bd86-4ced-8662-f41034648e8c" |
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); |
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public override string MainBranch => "main"; |
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public override bool ShouldIgnoreReleases => true; |
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public override IPackageExtensionManager ExtensionManager => null; |
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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 = "Always Offload from VRAM", |
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Type = LaunchOptionType.Bool, |
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Options = ["--always-offload-from-vram"] |
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}, |
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new LaunchOptionDefinition |
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{ |
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Name = "Always GPU", |
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Type = LaunchOptionType.Bool, |
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Options = ["--always-gpu"] |
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}, |
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new LaunchOptionDefinition |
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{ |
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Name = "Always CPU", |
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Type = LaunchOptionType.Bool, |
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Options = ["--always-cpu"] |
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}, |
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new LaunchOptionDefinition |
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{ |
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Name = "Use DirectML", |
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Type = LaunchOptionType.Bool, |
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InitialValue = HardwareHelper.PreferDirectML(), |
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Options = ["--directml"] |
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}, |
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new LaunchOptionDefinition |
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{ |
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Name = "Skip Torch CUDA Test", |
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Type = LaunchOptionType.Bool, |
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InitialValue = Compat.IsMacOS, |
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Options = ["--skip-torch-cuda-test"] |
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}, |
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new LaunchOptionDefinition |
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{ |
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Name = "No half-precision VAE", |
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Type = LaunchOptionType.Bool, |
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InitialValue = Compat.IsMacOS, |
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Options = ["--no-half-vae"] |
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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[] |
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{ |
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TorchVersion.Cpu, |
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TorchVersion.Cuda, |
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TorchVersion.DirectMl, |
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TorchVersion.Rocm, |
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TorchVersion.Mps |
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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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progress?.Report(new ProgressReport(-1f, "Setting up venv", isIndeterminate: true)); |
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var venvRunner = await SetupVenv(installLocation, forceRecreate: true).ConfigureAwait(false); |
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await venvRunner.PipInstall("--upgrade pip wheel", onConsoleOutput).ConfigureAwait(false); |
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progress?.Report(new ProgressReport(-1f, "Installing requirements...", isIndeterminate: true)); |
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var requirements = new FilePath(installLocation, "requirements_versions.txt"); |
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var pipArgs = new PipInstallArgs(); |
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if (torchVersion is TorchVersion.DirectMl) |
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{ |
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pipArgs = pipArgs.WithTorchDirectML(); |
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} |
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else |
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{ |
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pipArgs = pipArgs |
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.WithTorch("==2.1.2") |
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.WithTorchVision("==0.16.2") |
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.WithTorchExtraIndex( |
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torchVersion switch |
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{ |
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TorchVersion.Cpu => "cpu", |
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TorchVersion.Cuda => "cu121", |
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TorchVersion.Rocm => "rocm5.6", |
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TorchVersion.Mps => "nightly/cpu", |
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_ => throw new ArgumentOutOfRangeException(nameof(torchVersion), torchVersion, null) |
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} |
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); |
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} |
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pipArgs = pipArgs.WithParsedFromRequirementsTxt( |
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await requirements.ReadAllTextAsync().ConfigureAwait(false), |
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excludePattern: "torch" |
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); |
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await venvRunner.PipInstall(pipArgs, onConsoleOutput).ConfigureAwait(false); |
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progress?.Report(new ProgressReport(1f, "Install complete", isIndeterminate: false)); |
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} |
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}
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