conditional image generation

DALL·E 2 utilizes a neural network architecture that can generate images with varying levels of abstraction by leveraging transformer-based models. These models can understand patterns and relationships within images, allowing for the generation of complex visual concepts. Through a process known as conditional image generation, DALL·E 2 can translate textual descriptions into image representations, enabling the creation of diverse and detailed images.