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//
// ImageGenerator.swift
// imggensd2
//
// Created by Yasuhito Nagatomo on 2022/12/05.
//
import UIKit
import StableDiffusion
import CoreML
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@MainActor
final class ImageGenerator: ObservableObject {
struct GenerationParameter {
var prompt: String
var seed: Int
var stepCount: Int
var imageCount: Int
var disableSafety: Bool
}
struct GeneratedImage: Identifiable {
let id: UUID = UUID()
let uiImage: UIImage
}
struct GeneratedImages {
let prompt: String
let imageCount: Int
let stepCount: Int
let seed: Int
let disableSafety: Bool
let images: [GeneratedImage]
}
enum GenerationState: Equatable {
case idle
case generating(progressStep: Int)
static func == (lhs: Self, rhs: Self) -> Bool {
switch (lhs, rhs) {
case (.idle, idle): return true
case (.generating(let step1), .generating(let step2)):
if step1 == step2 { return true
} else { return false }
default:
return false
}
}
}
@Published var generationState: GenerationState = .idle
@Published var generatedImages: GeneratedImages?
private var sdPipeline: StableDiffusionPipeline?
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init() {
}
func setState(_ state: GenerationState) { // for actor isolation
generationState = state
}
func setPipeline(_ pipeline: StableDiffusionPipeline) { // for actor isolation
sdPipeline = pipeline
}
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func setGeneratedImages(_ images: GeneratedImages) { // for actor isolation
generatedImages = images
}
func generateImages(_ parameter: GenerationParameter) {
guard generationState == .idle else { return }
Task.detached(priority: .high) {
await self.setState(.generating(progressStep: 0))
if await self.sdPipeline == nil {
guard let path = Bundle.main.path(forResource: "CoreMLModels", ofType: nil, inDirectory: nil) else {
fatalError("Fatal error: failed to find the CoreML models.")
}
let resourceURL = URL(fileURLWithPath: path)
let config = MLModelConfiguration()
if !ProcessInfo.processInfo.isiOSAppOnMac {
config.computeUnits = .cpuAndGPU
}
// reduceMemory option was added at v0.1.0
// On iOS, the reduceMemory option should be set to true
let reduceMemory = ProcessInfo.processInfo.isiOSAppOnMac ? false : true
if let pipeline = try? StableDiffusionPipeline(resourcesAt: resourceURL,
configuration: config,
reduceMemory: reduceMemory) {
await self.setPipeline(pipeline)
} else {
fatalError("Fatal error: failed to create the Stable-Diffusion-Pipeline.")
}
}
if let sdPipeline = await self.sdPipeline {
do {
// if you would like to use the progressHandler,
// please check the another repo - AR Diffusion Museum:
// https://github.com/ynagatomo/ARDiffMuseum
// It handles the progressHandler and displays the generating images step by step.
let cgImages = try sdPipeline.generateImages(prompt: parameter.prompt,
imageCount: parameter.imageCount,
stepCount: parameter.stepCount,
seed: parameter.seed,
disableSafety: parameter.disableSafety)
print("images were generated.")
let uiImages = cgImages.compactMap { image in
if let cgImage = image { return UIImage(cgImage: cgImage)
} else { return nil }
}
await self.setGeneratedImages(GeneratedImages(prompt: parameter.prompt,
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imageCount: parameter.imageCount,
stepCount: parameter.stepCount,
seed: parameter.seed,
disableSafety: parameter.disableSafety,
images: uiImages.map { uiImage in GeneratedImage(uiImage: uiImage) }))
} catch {
print("failed to generate images.")
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}
}
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await self.setState(.idle)
}
}
}