how do i run stable diffusion on my phone

To run Stable Diffusion on your phone using Apple's platforms, you can follow these general steps as outlined in the WWDC sessions:

1. Model Preparation: Start by defining the model architecture and training the model using libraries like PyTorch or TensorFlow. Once trained, convert the model into the Core ML format for deployment. This involves optimizing the model representation and parameters to ensure good performance and accuracy.

2. Core ML Integration: Use Core ML tools to convert your model into the Core ML format. Core ML provides hardware-accelerated execution across the CPU, GPU, and Neural Engine, which is essential for running models efficiently on iOS devices.

3. Model Execution: Integrate the model into your app by loading and executing it using the Core ML framework. This can be as simple as passing in the required input and reading the returned output. For more complex use cases, such as generative AI, you might need to implement additional operations or use low-level APIs.

4. Optimization: Core ML offers various optimization techniques, such as quantization and efficient key-value caching, to enhance model performance. You can also use tools like ML Tensor for more advanced computation needs.

For a detailed walkthrough, you can refer to the session Explore machine learning on Apple platforms (07:16) and Deploy machine learning and AI models on-device with Core ML (02:38).

These sessions provide insights into the workflow and tools available for deploying machine learning models on Apple devices, including Stable Diffusion.