apple/ml-stable-diffusion

Health v2 · maintenance only

Adoption not part of the score

17968 stars · 1078 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Apple's official tooling for running Stable Diffusion on Apple Silicon using Core ML. It includes a Python package for converting PyTorch models to Core ML format and generating images, plus a Swift package for deploying image generation in iOS/macOS apps.

Use cases

• convert stable diffusion models to core ml
• generate images locally on apple silicon mac
• add stable diffusion to an ios app
• run text-to-image generation on iphone
• benchmark stable diffusion performance on apple devices
• deploy diffusion models with core ml in xcode projects

When to choose

• you need on-device stable diffusion on macOS, iPhone, or iPad with Apple silicon
• you want a Swift package to integrate image generation into native Apple apps
• you need to convert Hugging Face diffusers models to Core ML format

When to avoid

• you target NVIDIA GPUs or Linux servers
• you need training or fine-tuning rather than inference
• your devices are pre-M1 Macs or pre-A14 iPhones

Facets

library · maturity active

machine-learning llm-inference image-processing sdk machine-learning image-processing apple-ecosystem deep-learning python stable-diffusion core-ml apple-silicon text-to-image diffusers model-conversion swift-package macos ios swift apple-ecosystem

Member repositories

For agents

markdown · JSON · MCP: product_card(name="apple/ml-stable-diffusion")