---
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.

<p><img src="https://huggingface.co/mlboydaisuke/Stable-Audio-Open-Small-CoreML/resolve/main/media/2fe3ada05b.gif" alt="Stable Audio Open demo"></p>

Core ML conversion of [stabilityai/stable-audio-open-small](https://huggingface.co/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](https://huggingface.co/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

```bash
hf download mlboydaisuke/coreml-zoo --include "stableaudio/*" --local-dir ./stable_audio
unzip './stable_audio/stableaudio/*.zip' -d ./stable_audio
```

## Use in Swift

```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`](https://github.com/john-rocky/CoreML-Models/tree/master/sample_apps/StableAudioDemo), a standalone SwiftUI project.
- **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

- Script: [`convert_stable_audio.py`](https://github.com/john-rocky/CoreML-Models/blob/master/conversion_scripts/convert_stable_audio.py)
- 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: **Stability AI Community License**.
See [https://huggingface.co/stabilityai/stable-audio-open-small](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](https://huggingface.co/stabilityai/stable-audio-open-small), 2024
- Core ML conversion: john-rocky (Daisuke Majima)