huggingface/swift-coreml-diffusers

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

2756 stars · 237 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A native SwiftUI application demonstrating how to run Stable Diffusion text-to-image generation on-device using Apple's Core ML Stable Diffusion implementation. It serves as both a working app (available on the Mac App Store) and sample code for integrating Core ML diffusers into Swift apps on macOS and iOS.

Use cases

• generate images from text prompts locally on a Mac or iPhone
• run Stable Diffusion on-device without a server or GPU cloud
• learn how to integrate Core ML Stable Diffusion into a Swift app
• benchmark Stable Diffusion performance on Apple Silicon and Neural Engine
• use quantized Core ML diffusion models on iOS 17 or macOS 14
• build a native iOS text-to-image app with Swift

When to choose

• you want fully local Stable Diffusion inference on Apple hardware
• you need sample Swift code for Core ML diffusion model integration
• you target macOS or iOS/iPadOS with Apple Silicon or Neural Engine acceleration

When to avoid

• you need server-side or cross-platform (non-Apple) diffusion inference
• you want training or fine-tuning of diffusion models
• you need the latest model support beyond what Core ML conversion provides
• your devices run macOS 13 or iOS 16 without quantized model support

Facets

application · maturity active

image-processing machine-learning llm-inference sdk image-processing artificial-intelligence apple-ecosystem deep-learning stable-diffusion core-ml swiftui text-to-image diffusers neural-engine sample-app macos ios swift apple-ecosystem

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markdown · JSON · MCP: product_card(name="huggingface/swift-coreml-diffusers")