Cross Attention is one of the most crucial methods in the current field of deep learning. It enables many many models to work the way they are and output amazing results as seen with #stablediffusion #imagen #muse etc.
In this video I'm giving a visual and (hopefully) intuitive explanation of how Cross Attention works. I'm trying to give some simple examples to have an easy way to understand the math.

00:00 Introduction
01:10 Self Attention explained
07:40 Cross Attention explained
11:28 Summary
12:25 Outro

#crossattention #attention

(From Youtube)