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86 lines
3.3 KiB
86 lines
3.3 KiB
// For licensing see accompanying LICENSE.md file.
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// Copyright (C) 2022 Apple Inc. All Rights Reserved.
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import Foundation
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import CoreML
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@available(iOS 16.2, macOS 13.1, *)
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public extension StableDiffusionPipeline {
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struct ResourceURLs {
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public let textEncoderURL: URL
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public let unetURL: URL
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public let unetChunk1URL: URL
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public let unetChunk2URL: URL
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public let decoderURL: URL
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public let safetyCheckerURL: URL
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public let vocabURL: URL
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public let mergesURL: URL
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public init(resourcesAt baseURL: URL) {
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textEncoderURL = baseURL.appending(path: "TextEncoder.mlmodelc")
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unetURL = baseURL.appending(path: "Unet.mlmodelc")
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unetChunk1URL = baseURL.appending(path: "UnetChunk1.mlmodelc")
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unetChunk2URL = baseURL.appending(path: "UnetChunk2.mlmodelc")
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decoderURL = baseURL.appending(path: "VAEDecoder.mlmodelc")
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safetyCheckerURL = baseURL.appending(path: "SafetyChecker.mlmodelc")
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vocabURL = baseURL.appending(path: "vocab.json")
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mergesURL = baseURL.appending(path: "merges.txt")
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}
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}
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/// Create stable diffusion pipeline using model resources at a
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/// specified URL
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///
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/// - Parameters:
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/// - baseURL: URL pointing to directory holding all model
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/// and tokenization resources
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/// - configuration: The configuration to load model resources with
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/// - disableSafety: Load time disable of safety to save memory
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/// - reduceMemory: Setup pipeline in reduced memory mode
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/// - Returns:
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/// Pipeline ready for image generation if all necessary resources loaded
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init(resourcesAt baseURL: URL,
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configuration config: MLModelConfiguration = .init(),
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disableSafety: Bool = false,
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reduceMemory: Bool = false) throws {
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/// Expect URL of each resource
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let urls = ResourceURLs(resourcesAt: baseURL)
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// Text tokenizer and encoder
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let tokenizer = try BPETokenizer(mergesAt: urls.mergesURL, vocabularyAt: urls.vocabURL)
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let textEncoder = TextEncoder(tokenizer: tokenizer,
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modelAt: urls.textEncoderURL,
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configuration: config)
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// Unet model
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let unet: Unet
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if FileManager.default.fileExists(atPath: urls.unetChunk1URL.path) &&
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FileManager.default.fileExists(atPath: urls.unetChunk2URL.path) {
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unet = Unet(chunksAt: [urls.unetChunk1URL, urls.unetChunk2URL],
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configuration: config)
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} else {
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unet = Unet(modelAt: urls.unetURL, configuration: config)
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}
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// Image Decoder
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let decoder = Decoder(modelAt: urls.decoderURL, configuration: config)
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// Optional safety checker
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var safetyChecker: SafetyChecker? = nil
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if !disableSafety &&
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FileManager.default.fileExists(atPath: urls.safetyCheckerURL.path) {
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safetyChecker = SafetyChecker(modelAt: urls.safetyCheckerURL, configuration: config)
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}
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// Construct pipeline
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self.init(textEncoder: textEncoder,
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unet: unet,
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decoder: decoder,
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safetyChecker: safetyChecker,
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reduceMemory: reduceMemory)
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}
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}
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