README.md

metadata

license: other
license_name: stability-ai-community
license_link: https://huggingface.co/stabilityai/stable-audio-open-small
library_name: coreml
pipeline_tag: text-to-audio
base_model: stabilityai/stable-audio-open-small
base_model_relation: quantized
tags:
  - coreml
  - core-ml
  - ios
  - macos
  - apple
  - on-device
  - text-to-audio
  - music-generation
  - dit
  - arxiv:2505.08175

Stable Audio Open — Core ML

Text-to-Music, 2024

Text-to-music. Up to 11.9s stereo 44.1 kHz. Rectified flow DiT + T5 + Oobleck VAE.

Core ML conversion of stabilityai/stable-audio-open-small 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	text to audio
Upstream	stabilityai/stable-audio-open-small
Packages	4
Download size	1.41 GB
Minimum iOS	17.0
Peak RAM	~1200 MB

Files

File	Size	Compute units	SHA-256
StableAudioT5Encoder.mlpackage.zip	94 MB	cpuAndGPU	319a8ba775d30924…
StableAudioNumberEmbedder.mlpackage.zip	367 KB	cpuAndGPU	04bdc5de00a2cf1c…
StableAudioDiT.mlpackage.zip	1.18 GB	cpuOnly	b17da4fc4df85782…
StableAudioVAEDecoder.mlpackage.zip	138 MB	cpuAndGPU	7207544cca9799cc…
t5_vocab.json	732 KB	-	7c9ff3ac1b3dbcaa…
Total	1.41 GB

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 "stableaudio/*" --local-dir ./stable_audio
unzip './stable_audio/stableaudio/*.zip' -d ./stable_audio

Use in Swift

import CoreML

let config = MLModelConfiguration()
config.computeUnits = .cpuAndGPU   // 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 StableAudioT5Encoder(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)

This model is split into 4 Core ML packages that are driven in sequence from Swift. Load them one at a time, copy the outputs out of the MLMultiArray buffers and release each model before loading the next — two large Core ML models resident at once will OOM on an iPhone.

Demo

• Sample app — sample_apps/StableAudioDemo, a standalone SwiftUI project.
• Models Zoo — this model is downloadable and runnable inside the Models Zoo app on the App Store, no build required.

Conversion

• Script: convert_stable_audio.py
• 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: Stability AI Community License. See https://huggingface.co/stabilityai/stable-audio-open-small.

Free for non-commercial and limited commercial use; see the Stability AI Community License.

Credits

• Upstream authors: stabilityai/stable-audio-open-small, 2024
• Core ML conversion: john-rocky (Daisuke Majima)