Latent Diffusion Model

Topic

A latent diffusion model (LDM) is a class of deep generative artificial neural networks that performs the diffusion process within a lower-dimensional latent space rather than the high-dimensional pixel space. Developed by the CompVis group at LMU Munich, this architecture significantly reduces computational requirements while maintaining high-quality generation, serving as the foundation for popular models like Stable Diffusion.