RMBG-1.4 β€” Core ML

BRIA AI, 2023

High-quality background removal. Outputs foreground with alpha mask. 1024Γ—1024 input.

RMBG-1.4 demo RMBG-1.4 demo

Core ML conversion of briaai/RMBG-1.4 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 segmentation
Upstream briaai/RMBG-1.4
Packages 1
Download size 37 MB
Minimum iOS 17.0
Peak RAM ~300 MB

Files

File Size Compute units SHA-256
RMBG_1_4.mlpackage.zip 37 MB cpuOnly a80dbb5f04c922a8…
Total 37 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 "rmbg/*" --local-dir ./rmbg_1_4
unzip './rmbg_1_4/rmbg/*.zip' -d ./rmbg_1_4

Use in Swift

import CoreML

let config = MLModelConfiguration()
config.computeUnits = .cpuOnly   // as converted β€” see the table above

// Unzip the .mlpackage, drop it into your Xcode target and Xcode compiles it
// at build time:
let model = try RMBG_1_4(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 β€” sample_apps/RMBGDemo, a standalone SwiftUI project.
  • Models Zoo β€” this model is downloadable and runnable inside the Models Zoo app on the App Store, no build required.

Conversion

License

The conversion inherits the upstream license: Bria RMBG-1.4 License. See https://huggingface.co/briaai/RMBG-1.4.

Non-commercial without a separate agreement with Bria.

Credits

  • Upstream authors: briaai/RMBG-1.4, 2023
  • Core ML conversion: john-rocky (Daisuke Majima)
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