![]() If you don't have Homebrew installed, follow these setup instructions. It stores large files outside the main git repo, and downloads them from the appropriate server the repository is cloned.Īs a first step, use Homebrew to install git lfs, a Git extension for versioning large files. As the models are quite large in size, you have to use the git Larg File Storage (git lfs) extension. Any of those can be downloaded and used to generate images with Python or Swift. While you can also convert any derivative Stable Diffusion model to Core ML, there are some pre-made models publicly available on Hugging Face Hub, such as Stable Diffusion v1-4, Stable Diffusion v1-5, and Stable Diffusion v2. Using Core ML Models from Hugging Face Hub The mcomand Line Tools are available in the Downloads section of the Apple Developer Platform. and the Command Line Tools for Xcode 14.2 or newer are installed. In this article, we will focus on image generation from text prompts using Swift and how this can be applied in a native app.Īs a prerequisite, ensure Xcode 14.2. The Swift package can be added to Xcode projects as a dependency to empower apps with the powerful image generation capabilities. The release contained a Python package for converting Stable Diffusion models from PyTorch to Core ML with Apple's coremltools, and a Swift package to deploy the models. In December 2022, Apple released optimizations to Core ML to use Stable Diffusion with macOS 13.1 and iOS 16.2. Beyond current copyright infringement lawsuits against Stability AI, Midjourney, and Devian Art, deep generative neural networks are becoming more and more powerful and find widespread adoption. Unlike other models with similar features, Stability AI made the source publically available, accelerating its adoption. ![]() ![]() It can be used to generate images based on text descriptions among other use cases. Stable Diffusion is a deep learning, text-to-image model released in 2022 and among the trending AI tools.
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