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Sponsored by
Designkit Free Background Remover
mlboydaisuke / LaMa-CoreML
Model's Last Updated: August 15 2026
image-to-image
Introduction of LaMa-CoreML
Model Details of LaMa-CoreML
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
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 |
| 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
hf download mlboydaisuke/coreml-zoo --include "lama/*" --local-dir ./lama
unzip './lama/lama/*.zip' -d ./lama
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 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
- Sample app — lama-cleaner-iOS , a standalone iOS project.
- 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 .
Credits
- Upstream authors: advimman/lama , 2022
- 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.
Runs of mlboydaisuke LaMa-CoreML on huggingface.co
64
Total runs
0
24-hour runs
10
3-day runs
14
7-day runs
14
30-day runs
More Information About LaMa-CoreML huggingface.co Model
Url of LaMa-CoreML
LaMa-CoreML huggingface.co Url
Provider of LaMa-CoreML huggingface.co
Other API from mlboydaisuke
Updated:September 26 2026
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