DALL-E (pronounced “dolly”) is a neural network-based image generation system developed by OpenAI.

DALL-E is capable of generating high-resolution images from textual descriptions, using a transformer architecture similar to that used in the GPT language model.

DALL-E was trained on a dataset of text-image pairs and is able to generate a wide range of images, from photorealistic to highly stylized, based on the input text.

One of the key features of DALL-E is its ability to generate images that are highly varied and unique, even when given the same input text. This allows it to generate a wide range of images that may not have been seen in its training dataset, making it a powerful tool for generating new and original content.

The following images were generated by DALL-E using this query: “night in a cozy colorful winter village, lots of snow and lights, Christmas tree, presents, digital art“.