When training an artificial intelligence (A.I.) model to generate images based on text, a large dataset of images and their respective captions is utilized. The training process involves presenting the captions to the model and instructing it to recreate the corresponding images as accurately as it can. Through this training, the model acquires knowledge of broad concepts found in numerous images such as human appearances, as well as distinct features like textures, environments, poses, and compositions that contribute to their uniqueness.