DALL-E works by taking a textual description as input and generating an image that matches the description. For example, if you give DALL-E a description like "an armchair in the shape of an avocado," it will generate an image of an armchair that looks like an avocado. It can also generate more complex images like a "caterpillar wearing a bow tie smoking a hookah."
DALL-E was trained on a massive dataset of images and corresponding textual descriptions. It uses a neural network architecture that allows it to generate images that are not only realistic but also creative and sometimes surreal. The model can be used for a wide range of applications such as creating illustrations for books, designing products, and generating realistic virtual environments for video games and movies.
One of the most impressive features of DALL-E is its ability to extrapolate and generate images that it has never seen before. For example, if you give DALL-E a description of a "tree made of ice cream," it will generate an image of a tree made of ice cream even though it has never seen such an image before. This shows the incredible potential of AI in generating novel and imaginative ideas.
