Apple’s Machine Learning Research team:
Today, we are excited to release optimizations to Core ML for
Stable Diffusion in macOS 13.1 and iOS 16.2, along with code to
get started with deploying to Apple Silicon devices. […]
One of the key questions for Stable Diffusion in any app is where
the model is running. There are a number of reasons why on-device
deployment of Stable Diffusion in an app is preferable to a
server-based approach. First, the privacy of the end user is
protected because any data the user provided as input to the model
stays on the user’s device. Second, after initial download, users
don’t require an internet connection to use the model. Finally,
locally deploying this model enables developers to reduce or
eliminate their server-related costs.
Exciting and fun to see Apple helping to make this run optimally on Apple Silicon.