README.md

metadata

license: other
license_name: non-commercial-research
license_link: https://github.com/WuZongWei6/Pixelization
library_name: coreml
pipeline_tag: image-to-image
tags:
  - coreml
  - core-ml
  - ios
  - macos
  - apple
  - on-device
  - pixel-art
  - style-transfer
  - siggraph-asia-2022

Pixelization — Core ML

Cell-Controllable Pixel Art, SIGGRAPH Asia 2022

Turn any photo into pixel art. Aliasing-aware generator + anti-alias refinement. Drag the cell-size slider (2–8) to change pixel block size — the network runs once per photo, the slider only re-snaps the grid. 512×512 input. Non-commercial research use only.

Core ML conversion of WuZongWei6/Pixelization 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	WuZongWei6/Pixelization
Packages	1
Download size	35 MB
Minimum iOS	17.0
Peak RAM	~250 MB

Files

File	Size	Compute units	SHA-256
Pixelization_512.mlpackage.zip	35 MB	cpuAndNeuralEngine	f9eac7e8fa6487a4…
Total	35 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 "pixelization/*" --local-dir ./pixelization
unzip './pixelization/pixelization/*.zip' -d ./pixelization

Use in Swift

import CoreML

let config = MLModelConfiguration()
config.computeUnits = .cpuAndNeuralEngine   // 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 Pixelization_512(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

• Sample app — sample_apps/PixelizationDemo, 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_pixelization.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: Research use only. See https://github.com/WuZongWei6/Pixelization.

Upstream ships no LICENSE file; the paper repo states research use only.

Credits

• Upstream authors: WuZongWei6/Pixelization, 2022
• Core ML conversion: john-rocky (Daisuke Majima)