You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
107 lines
3.7 KiB
107 lines
3.7 KiB
//
|
|
// ModelInfo.swift
|
|
// Diffusion
|
|
//
|
|
// Created by Pedro Cuenca on 29/12/22.
|
|
// See LICENSE at https://github.com/huggingface/swift-coreml-diffusers/LICENSE
|
|
//
|
|
|
|
import CoreML
|
|
|
|
struct ModelInfo {
|
|
/// Hugging Face model Id that contains .zip archives with compiled Core ML models
|
|
let modelId: String
|
|
|
|
/// Arbitrary string for presentation purposes. Something like "2.1-base"
|
|
let modelVersion: String
|
|
|
|
/// Suffix of the archive containing the ORIGINAL attention variant. Usually something like "original_compiled"
|
|
let originalAttentionSuffix: String
|
|
|
|
/// Suffix of the archive containing the SPLIT_EINSUM attention variant. Usually something like "split_einsum_compiled"
|
|
let splitAttentionName: String
|
|
|
|
/// Whether the archive contains the VAE Encoder (for image to image tasks). Not yet in use.
|
|
let supportsEncoder: Bool
|
|
|
|
init(modelId: String, modelVersion: String, originalAttentionSuffix: String = "original_compiled", splitAttentionName: String = "split_einsum_compiled", supportsEncoder: Bool = false) {
|
|
self.modelId = modelId
|
|
self.modelVersion = modelVersion
|
|
self.originalAttentionSuffix = originalAttentionSuffix
|
|
self.splitAttentionName = splitAttentionName
|
|
self.supportsEncoder = supportsEncoder
|
|
}
|
|
}
|
|
|
|
extension ModelInfo {
|
|
/// Best variant for the current platform.
|
|
/// Currently using `split_einsum` for iOS and `original` for macOS, but could vary depending on model.
|
|
var bestURL: URL {
|
|
// Pattern: https://huggingface.co/pcuenq/coreml-stable-diffusion/resolve/main/coreml-stable-diffusion-v1-5_original_compiled.zip
|
|
let suffix = runningOnMac ? originalAttentionSuffix : splitAttentionName
|
|
let repo = modelId.split(separator: "/").last!
|
|
return URL(string: "https://huggingface.co/\(modelId)/resolve/main/\(repo)_\(suffix).zip")!
|
|
}
|
|
|
|
/// Best units for current platform.
|
|
/// Currently using `cpuAndNeuralEngine` for iOS and `cpuAndGPU` for macOS, but could vary depending on model.
|
|
/// .all works for v1.4, but not for v1.5.
|
|
// TODO: measure performance on different devices.
|
|
var bestComputeUnits: MLComputeUnits {
|
|
return runningOnMac ? .cpuAndGPU : .cpuAndNeuralEngine
|
|
}
|
|
|
|
var reduceMemory: Bool {
|
|
return !runningOnMac
|
|
}
|
|
}
|
|
|
|
extension ModelInfo {
|
|
// TODO: repo does not exist yet
|
|
static let v14Base = ModelInfo(
|
|
modelId: "pcuenq/coreml-stable-diffusion-1-4",
|
|
modelVersion: "CompVis/stable-diffusion-v1-4"
|
|
)
|
|
|
|
static let v15Base = ModelInfo(
|
|
modelId: "pcuenq/coreml-stable-diffusion-v1-5",
|
|
modelVersion: "runwayml/stable-diffusion-v1-5"
|
|
)
|
|
|
|
static let v2Base = ModelInfo(
|
|
modelId: "pcuenq/coreml-stable-diffusion-2-base",
|
|
modelVersion: "stabilityai/stable-diffusion-2-base"
|
|
)
|
|
|
|
static let v21Base = ModelInfo(
|
|
modelId: "pcuenq/coreml-stable-diffusion-2-1-base",
|
|
modelVersion: "stabilityai/stable-diffusion-2-1-base",
|
|
supportsEncoder: true
|
|
)
|
|
|
|
static let ofaSmall = ModelInfo(
|
|
modelId: "pcuenq/coreml-small-stable-diffusion-v0",
|
|
modelVersion: "OFA-Sys/small-stable-diffusion-v0"
|
|
)
|
|
|
|
static let MODELS = [
|
|
ModelInfo.v14Base,
|
|
ModelInfo.v15Base,
|
|
ModelInfo.v2Base,
|
|
ModelInfo.v21Base,
|
|
ModelInfo.ofaSmall
|
|
]
|
|
|
|
static func from(modelVersion: String) -> ModelInfo? {
|
|
ModelInfo.MODELS.first(where: {$0.modelVersion == modelVersion})
|
|
}
|
|
|
|
static func from(modelId: String) -> ModelInfo? {
|
|
ModelInfo.MODELS.first(where: {$0.modelId == modelId})
|
|
}
|
|
}
|
|
|
|
extension ModelInfo : Equatable {
|
|
static func ==(lhs: ModelInfo, rhs: ModelInfo) -> Bool { lhs.modelId == rhs.modelId }
|
|
}
|