How do I run stable diffusion on my phone?

To run Stable Diffusion on your phone using Apple's platforms, you can follow these steps:

1. Model Preparation: Start with a PyTorch model of Stable Diffusion. You will need to convert this model into the Core ML format using Core ML tools. This conversion process allows you to optimize the model for performance on Apple devices.

2. Optimization: Core ML tools provide various optimization techniques, such as quantization and efficient key-value caching, to enhance the model's performance on Apple hardware, including the CPU, GPU, and Neural Engine.

3. Integration: Once the model is converted, you can integrate it into your app. This involves writing code to load and execute the model using Apple's Core ML framework. The framework supports hardware-accelerated execution, ensuring efficient performance.

4. Advanced Use Cases: For more complex applications, such as those involving generative AI, you might need to use additional tools like ML Tensor to manage computations outside the model. This can help in stitching together multiple models or handling iterative processes.

For a detailed walkthrough, you can refer to the session Explore machine learning on Apple platforms (07:32) and Deploy machine learning and AI models on-device with Core ML (14:15) from WWDC 2024. These sessions provide insights into the workflow and tools available for deploying machine learning models on Apple devices.