Stable Diffusion XL Theory and Code with Shape-Shifting ControlNet

Learn the theory and implementation of Stable Diffusion XL (SDXL), the latest iteration of text-to-image diffusion models, in this 41-minute tutorial from Stanford University. Dive deep into both theoretical foundations and practical code implementation of SDXL, with special emphasis on integrating ControlNet neural networks for advanced image shape-shifting capabilities. Master standalone ControlNet implementation techniques beyond traditional web UI frameworks like Automatic 1111, enabling more flexible and customized image generation workflows. Explore cutting-edge approaches to synthetic image manipulation and gain hands-on experience with the latest developments in AI-powered image generation technology.