SinSR — Core ML

Single-Step Super-Resolution, 2024

4× super-resolution via single-step diffusion. 256→1024. Swin Transformer denoiser (FP32).

SinSR demo

Core ML conversion of wyf0912/SinSR for on-device inference on iPhone, iPad and Mac. Converted with coremltools; the packages are stateless, so all sequencing and buffering lives in your Swift code.

Task image to image
Upstream wyf0912/SinSR
Packages 3
Download size 517 MB
Minimum iOS 17.0
Peak RAM ~600 MB

Files

File Size Compute units SHA-256
SinSR_Encoder.mlpackage.zip 39 MB cpuAndGPU fdec09d17561ec1b…
SinSR_Denoiser.mlpackage.zip 420 MB cpuOnly b31374c2d539b2cd…
SinSR_Decoder.mlpackage.zip 58 MB cpuAndGPU b8b9a7b52d6b240c…
Total 517 MB

compute_units is not a suggestion -- it is the configuration the conversion was verified against. Moving a package to a different compute unit can silently change the numerics (FP16 attention overflow) or crash on the GPU.

Download

hf download mlboydaisuke/coreml-zoo --include "sinsr/*" --local-dir ./sinsr
unzip './sinsr/sinsr/*.zip' -d ./sinsr

Use in Swift

import CoreML

let config = MLModelConfiguration()
config.computeUnits = .cpuAndGPU   // as converted — see the table above

// Unzip the .mlpackage, drop it into your Xcode target and Xcode compiles it
// at build time:
let model = try SinSR_Encoder(configuration: config)

// ...or compile a downloaded .mlpackage at runtime:
let compiled = try await MLModel.compileModel(at: mlpackageURL)
let model = try MLModel(contentsOf: compiled, configuration: config)

This model is split into 3 Core ML packages that are driven in sequence from Swift. Load them one at a time, copy the outputs out of the MLMultiArray buffers and release each model before loading the next — two large Core ML models resident at once will OOM on an iPhone.

Demo

  • Sample app — sample_apps/SinSRDemo, a standalone SwiftUI project.
  • Models Zoo — this model is downloadable and runnable inside the Models Zoo app on the App Store, no build required.

Conversion

License

The conversion inherits the upstream license: CC BY-NC-SA 4.0. See https://github.com/wyf0912/SinSR/blob/main/LICENSE.

Non-commercial, attribution, share-alike.

Credits

  • Upstream authors: wyf0912/SinSR, 2024
  • Core ML conversion: john-rocky (Daisuke Majima)
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