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DALL-E, DALL-E 2, and DALL-E 3 (stylised DALL·E, and pronounced DOLL-E) are text-to-image models developed by OpenAI using deep learning methodologies to generate digital images from natural language descriptions known as prompts. The first version of DALL-E was announced in January 2021. In the following year, its successor DALL-E 2 was released.
An image conditioned on the prompt an astronaut riding a horse, by Hiroshige, generated by Stable Diffusion 3.5, a large-scale text-to-image model first released in 2022. A text-to-image model is a machine learning model which takes an input natural language description and produces an image matching that description.
To mitigate some deceptions, OpenAI developed a tool in 2024 to detect images that were generated by DALL-E 3. [129] In testing, this tool accurately identified DALL-E 3-generated images approximately 98% of the time. The tool is also fairly capable of recognizing images that have been visually modified by users post-generation. [130]
Microsoft is making a major investment in DALL-E 2, OpenAI's AI-powered system that generates images from text, by bringing it to first-party apps and services. During its Ignite conference this ...
Countless artists have taken inspiration from “The Starry Night” since Vincent Van Gogh painted the swirling scene in 1889. The images generated by tools such as DALL-E, Midjourney and Stable ...
The company said the tool correctly identified images created by DALL-E 3 about 98% of the time in internal testing and can handle common modifications such as compression, cropping and saturation ...