Add model card

README.md

@@ -0,0 +1,83 @@
+---
+license: apache-2.0
+library_name: coreml
+pipeline_tag: image-to-image
+tags:
+  - coreml
+  - core-ml
+  - ios
+  - macos
+  - apple
+  - on-device
+  - inpainting
+  - fourier-convolution
+  - arxiv:2109.07161
+---
+
+# LaMa — Core ML
+
+*Image Inpainting, 2022*
+
+Resolution-robust large mask inpainting. Draw over unwanted objects to remove them. Fast Fourier convolutions for global context. 800×800 input.
+
+Core ML conversion of [advimman/lama](https://github.com/advimman/lama) 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 | [advimman/lama](https://github.com/advimman/lama) |
+| Packages | 1 |
+| Download size | 187 MB |
+| Minimum iOS | 17.0 |
+| Peak RAM | ~600 MB |
+
+## Files
+
+| File | Size | Compute units | SHA-256 |
+|---|---:|---|---|
+| `LaMa.mlpackage.zip` | 187 MB | `all` | `b57b8451a1a86c00…` |
+| **Total** | **187 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 "lama/*" --local-dir ./lama
+unzip './lama/lama/*.zip' -d ./lama
+```
+
+## 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 LaMa(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](https://apps.apple.com/app/id6762083207) on the App Store, no build required.
+
+## Conversion
+
+- Pitfalls hit during conversion (FP16 overflow, ANE buffer limits, stride handling): [`docs/coreml_conversion_notes.md`](https://github.com/john-rocky/CoreML-Models/blob/master/docs/coreml_conversion_notes.md)
+- Model index: [CoreML-Models](https://github.com/john-rocky/CoreML-Models)
+
+## License
+
+The conversion inherits the upstream license: **Apache-2.0**.
+
+## Credits
+
+- Upstream authors: [advimman/lama](https://github.com/advimman/lama), 2022
+- Core ML conversion: john-rocky (Daisuke Majima)