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erase-lama

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big-lama for Core ML, verified against the official weights
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metadata 
license: apache-2.0
library_name: coreml
pipeline_tag: image-to-image
tags:
  - inpainting
  - lama
  - coreml
  - apple-silicon
  - object-removal
base_model: smartywu/big-lama

LaMa (big-lama) for Core ML — object removal

What img erase in the arraypress tools downloads: give it a picture and a mask of what to remove, and LaMa fills the hole plausibly. 800×800 image and mask in, image out; outside the mask the input passes through untouched.

Provenance and verification

  • Weights: big-lama from advimman/lama (Apache-2.0), via smartywu/big-lama — the download the official README gives (curl -LJO https://huggingface.co/smartywu/big-lama/resolve/main/big-lama.zip).
  • This package: the Core ML conversion published at jerhoads/lama-coreml (commit da9859ec149712a4bba6dfb2946f097b026bc8ec), which states no licence of its own. Re-hosted unmodified (file hashes identical) so the fleet does not depend on a third-party repo.
  • Verified against the official weights (verify_against_official.py): the original PyTorch generator (FFCResNetGenerator, models/best.ckpt) and this package run on CPU on three scenes (gradient + shapes, noise texture, a stock photo) × two masks:
    • inside the mask: 58.9 dB PSNR in every case — 8-bit rounding, i.e. the same model;
    • outside the mask: identical to the input (max difference 0).
  • Conversion metadata: coremltools 7.2 from a TorchScript trace (torch 2.2.0), ML Program.

Licence

Apache-2.0 — see LICENSE and NOTICE.