Lesson 12: Deep Learning Foundations to Stable Diffusion

(All lesson resources are available at http://course.fast.ai.) In this lesson, we start by discussing the CLIP Interrogator, a Hugging Face Spaces Gradio app that generates text prompts for creating CLIP embeddings. We then dive back into matrix multiplication, using Einstein summation notation and torch.einsum to simplify code and improve performance. We explore GPU acceleration with CUDA and Numba, demonstrating how to write a kernel function for matrix multiplication and launch it on the GPU.

Next up we exercise our tensor …

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