How does DALL·E 2 handle the generation of images with specific visual aesthetics or design styles?
DALL·E 2 uses a GAN (Generative Adversarial Network) architecture that learns to map image inputs to outputs with specific visual styles or designs. By training on a diverse dataset, DALL·E 2 can generate images that mimic the input aesthetics through a process of iterative refinement.