e number of parameters introduces size and crop-conditioning to preserve training data from being discarded and gain more control over how a generated image should be cropped introduces a two-stage model process; the base model (can also be run as a standalone model) generates an image as an input to the refiner model which adds additional high-quality details This guide will show you how to use SDXL for text-to-image, image-to-image, and inpai