Train a diffusion model
	
Unconditional image generation is a popular application of diffusion models that generates images that look like those in the dataset used for training. Typically, the best results are obtained from finetuning a pretrained model on a specific dataset. You can find many of these checkpoints on the Hub, but if you can’t find one you like, you can always train your own!
This tutorial will teach you how to train a UNet2DMo