HuggingFace Class, Unit 2 - Fintuning and Guidance (casual notebook walkthough)

Looking through the notebooks for the huggingface diffusion models class, unit 2: github.com/huggingface/diffusion-models-class/tree…

We cover fine-tuning existing diffusion models on new datasets, guiding generation with additional loss functions and creating a class-conditioned diffusion model.

I mention a vide for unit 3 but have since remembered that I already link the Stable Diffusion Deep Dive video so that's probably sufficient!