Explore various text-to-image generation AI methodologies and their inner workings in this 18-minute video tutorial. Learn about four different methods: Autoregressive models, GANs, VQ-VAE Transformers, and Diffusion models. Discover how each approach works, including GANs' introduction, VQ-VAE's DALL-E mini/mega and ruDALL-E models, and Diffusion models' technology. Examine specific implementations like GLIDE, DALL-E 2, and Google's Imagen. Gain insights into Google Pathway Models and access GitHub resources for further exploration. Understand the evolution of text-to-image AI, from early successes to advanced systems like DALL-E 2 and Google Imagen, which demonstrate impressive capabilities in generating images from text descriptions.