Thanks for making that course. It was on my list of courses to look at since GPT-4 recommended it (with all the caveat that entails :) ). Thanks for also making notebooks available alongside the videos.
However, can you point me to the lectures where training happen (and architecture choices, hyperparam selection, and debugging happens.). I'm less familiar with SD but at a quick glance it seems like we're using a pretrained model and implementing bits that will eventually be useful for training but not training a new model, at least in the beginning of the deep dive notebook and first few lessons (starting at part 2, lesson 9).
However, can you point me to the lectures where training happen (and architecture choices, hyperparam selection, and debugging happens.). I'm less familiar with SD but at a quick glance it seems like we're using a pretrained model and implementing bits that will eventually be useful for training but not training a new model, at least in the beginning of the deep dive notebook and first few lessons (starting at part 2, lesson 9).