ges. Because these generated sample images belong to the same class as the images you provided, they help the model retain what it has learned about the class and how it can use what it already knows about the class to make new compositions. Many of the parameters for prior preservation loss are described in the DreamBooth training guide.  Regularization Custom Diffusion includes training the target images with a small set of real images to pre