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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.
OpenAI demoed its latest image generation tool, DALL-E 3, which can fulfill highly complex prompts, and incorporate coherent text into images.
One of the first text-to-image models to capture widespread public attention was OpenAI's DALL-E, a transformer system announced in January 2021. [10] A successor capable of generating more complex and realistic images, DALL-E 2, was unveiled in April 2022, [11] followed by Stable Diffusion that was publicly released in August 2022. [12]
To mitigate some deceptions, OpenAI developed a tool in 2024 to detect images that were generated by DALL-E 3. [147] 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. [148]
The company said its Janus-Pro-7B AI model outperformed OpenAI's DALL-E 3 and Stability AI's Stable Diffusion in a leaderboard ranking for image generation using text prompts. The new model is an ...
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 ...