Core ML Model Zoo
Collection
PyTorch models converted to Core ML for on-device inference on iPhone, iPad and Mac. • 46 items • Updated • 1
GFPGAN — Core ML
Face Restoration, 2021
Blind face restoration with generative facial prior. Restores degraded face photos to high quality. 512×512 input/output.
Core ML conversion of TencentARC/GFPGAN 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 | TencentARC/GFPGAN |
| Packages | 1 |
| Download size | 298 MB |
| Minimum iOS | 17.0 |
| Peak RAM | ~600 MB |
Files
| File | Size | Compute units | SHA-256 |
|---|---|---|---|
GFPGAN.mlpackage.zip |
298 MB | all |
929d0ab30fa739bd… |
| Total | 298 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 "gfpgan/*" --local-dir ./gfpgan
unzip './gfpgan/gfpgan/*.zip' -d ./gfpgan
Use in 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 GFPGAN(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: Apache-2.0.
Apache-2.0 except the third-party components (StyleGAN2 / NVIDIA) listed in the upstream LICENSE.
Credits
- Upstream authors: TencentARC/GFPGAN, 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.
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