DALL-E is a deep learning system developed by OpenAI that uses a neural network to generate images from textual descriptions, such as “a two-story pink house with a white fence and a red door.” The system was trained on a dataset of text-image pairs and is able to generate a wide range of images, including photorealistic, surreal, and abstract images.

DALL-E uses a transformer architecture, similar to the one used in the popular language model GPT-3, to process the input text and generate the output image. The system is able to generate high-quality images because it was trained on a large dataset and uses a powerful neural network architecture.

One of the key features of DALL-E is its ability to generate images from a wide range of textual descriptions, including descriptions that are novel or not seen in the training data. This allows DALL-E to generate a diverse range of images and can be used to generate images for a variety of applications, such as creating custom artwork or generating product designs.