Modelpublic

mlboydaisuke/Real-ESRGAN-x4-CoreML

sourceHugging Facebsd-3-clauseupdated 1mo agoView on Hugging Face

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Model Card

Real-ESRGAN 4x — Core ML

Super Resolution, 2021

Real-world blind super-resolution. 4× upscale from any input. Handles noise, blur, and JPEG artifacts. 512×512 input → 2048×2048 output.

Core ML conversion of xinntao/Real-ESRGAN 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	xinntao/Real-ESRGAN
Packages	1
Download size	59 MB
Minimum iOS	17.0
Peak RAM	~500 MB

Files

File	Size	Compute units	SHA-256
`RealESRGAN_x4.mlpackage.zip`	59 MB	`all`	`5fd9d7ea7e6187ff…`
Total	59 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

bash

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

Use in Swift

swift

import CoreML

let config = MLModelConfiguration()
config.computeUnits = .all   // 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 RealESRGAN_x4(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)

Demo

—Models Zoo — this model is downloadable and runnable inside the Models Zoo app on the App Store, no build required.

Conversion

—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: BSD-3-Clause.

Credits

—Upstream authors: xinntao/Real-ESRGAN, 2021
—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.