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ml-stable-diffusion

17,602
1,020
Python

Project Description

Stable Diffusion with Core ML on Apple Silicon

ml-stable-diffusion: Stable Diffusion with Core ML on Apple Silicon

Project Title

ml-stable-diffusion — Accelerating AI Image Generation on Apple Silicon with Core ML

Overview

ml-stable-diffusion is an open-source project that enables the deployment of Stable Diffusion models on Apple Silicon devices using Core ML. This project stands out for its ability to convert PyTorch models into Core ML format, facilitating the integration of advanced image generation capabilities into iOS and macOS applications. It leverages the computational power of Apple's hardware to provide efficient and high-performance AI-driven image generation.

Key Features

  • Conversion of PyTorch models to Core ML format for Apple Silicon
  • Integration with Hugging Face diffusers for image generation in Python
  • Swift package for easy deployment in Xcode projects

Use Cases

  • Mobile app developers can incorporate AI-powered image generation into their applications.
  • Creative professionals can use this technology for generating images from text prompts on their Apple devices.
  • Researchers and data scientists can leverage this project for deploying and testing AI models on Apple's hardware.

Advantages

  • Optimized for Apple Silicon, providing fast and efficient image generation.
  • Easy integration with existing Python and Swift development environments.
  • Supports the latest iOS and macOS versions, ensuring compatibility with current devices.

Limitations / Considerations

  • The project requires specific macOS and Xcode versions for model conversion and project build.
  • The performance may vary depending on the device's hardware generation and iOS/iPadOS version.
  • The Swift code is not fully optimized, which could introduce some overhead in execution.

Similar / Related Projects

  • Apple Core ML Tools: A suite of tools for converting machine learning models to Core ML format. ml-stable-diffusion specializes in Stable Diffusion models.
  • Hugging Face Diffusers: A library for diffusion models in Python. ml-stable-diffusion integrates with this library for image generation.
  • TensorFlow Lite for Mobile: A solution for deploying TensorFlow models on mobile devices. ml-stable-diffusion is specific to Apple's ecosystem and Core ML.

Basic Information

Requirements:

  • macOS 13.1 or later
  • Python 3.8
  • coremltools 7.0
  • Xcode 14.3 or later
  • Swift 5.8 or later

📊 Project Information

🏷️ Project Topics

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Project Information

Created on 11/16/2022
Updated on 9/16/2025