How do I run stable diffusion on my iPhone?

To run Stable Diffusion on your iPhone, you can follow these steps:

1. Model Preparation:

   • Start with a PyTorch model of Stable Diffusion.
   • Convert the model into Core ML format using Core ML tools. This involves optimizing the model representation and parameters to achieve great performance while maintaining good accuracy.

2. Optimization:

   • Use Core ML tools to optimize your model. Techniques such as quantization and efficient key-value caching can be leveraged to enhance performance.

3. Integration:

   • Integrate the model with Apple frameworks to load and execute it within your app. Core ML optimizes hardware-accelerated execution across the CPU, GPU, and Neural Engine.

4. Running the Model:

   • Use the Core ML framework to run the model within your app. Core ML includes tools to further optimize the performance of your model.

For a detailed walkthrough, you can refer to the session Explore machine learning on Apple platforms (07:32).

Additionally, the session Deploy machine learning and AI models on-device with Core ML (14:15) provides a demo on using an open-source Stable Diffusion model and modifying a diffusers app from Hugging Face to generate images from text.

Relevant Sessions:

1. Explore machine learning on Apple platforms
2. Deploy machine learning and AI models on-device with Core ML
3. Platforms State of the Union

These sessions will guide you through the process of preparing, optimizing, and running machine learning models, including Stable Diffusion, on Apple devices.