Stable Diffusion XL            Stable Diffusion XL (SDXL) is a powerful text-to-image generation model that iterates on the previous Stable Diffusion models in three key ways: the UNet is 3x larger and SDXL combines a second text encoder (OpenCLIP ViT-bigG/14) with the original text encoder to significantly increase the 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 inpainting. Before you begin, make sure you have the following libraries installed:   Copied # uncomment to install the necessary libraries in Colab