Core ML Model Zoo
Collection
PyTorch models converted to Core ML for on-device inference on iPhone, iPad and Mac. • 46 items • Updated • 1
SinSR — Core ML
Single-Step Super-Resolution, 2024
4× super-resolution via single-step diffusion. 256→1024. Swin Transformer denoiser (FP32).
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
MLMultiArraybuffers 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
- Script:
convert_sinsr.py - Pitfalls hit during conversion (FP16 overflow, ANE buffer limits, stride handling):
docs/coreml_conversion_notes.md - Model index: CoreML-Models
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)
More models in this format: Core ML Model Zoo — 46 models, each with the recipe that produced it.
Want a different model on-device? Open a request — free, open weights only; the export and its measured numbers get published publicly.
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