AI-powered image generation has advanced rapidly, with four distinct architectures standing out among the vast array of models: VAEs, GANs, ViTs, and SD. This blog post provides a comprehensive comparison of their primary purposes, methods, and performance metrics to understand the fascinating world of AI-generated imagery. Each architecture has subtypes and variations, and researchers frequently combine elements to create hybrid models, with generative models rapidly evolving as new techniques and improvements emerge.