Using Stable Diffusion with Core ML on Apple Silicon

The article discusses the integration of Stable Diffusion, a latent diffusion model for image generation, with Core ML for deployment on Apple Silicon devices. It highlights optimizations that enable efficient inference on M1 and M2 chips, leveraging their neural engine for accelerated performance. This integration allows practitioners to run high-performance generative models on-device, enhancing privacy and reducing latency for applications in computer vision and creative content generation.