Shypd.aiThe largest open index of AI toolsml-stable-diffusion allows users to run Stable Diffusion on Apple Silicon with Core ML. It provides Python tools for model conversion and a Swift package for app integration, enabling efficient image generation on Apple devices.
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ml-stable-diffusion is an open-source project by Apple that enables the execution of Stable Diffusion models on Apple Silicon devices using Core ML. It includes a Python package, `python_coreml_stable_diffusion`, for converting PyTorch models to the Core ML format and performing image generation with Hugging Face diffusers. Additionally, a Swift package, `StableDiffusion`, is provided for developers to integrate image generation capabilities into their Xcode projects. This allows for optimized performance and efficient deployment of Stable Diffusion on macOS, iPadOS, and iOS devices, leveraging Apple's hardware acceleration. The repository also offers detailed performance benchmarks across various Apple devices and models, along with advanced weight compression techniques to optimize memory usage and latency.
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