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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.
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 ...
OpenAI demoed its latest image generation tool, DALL-E 3, which can fulfill highly complex prompts, and incorporate coherent text into images.
In September 2023, OpenAI announced DALL-E 3, a more powerful model better able to generate images from complex descriptions without manual prompt engineering and render complex details like hands and text. [227] It was released to the public as a ChatGPT Plus feature in October. [228]
It can interpret and analyze text, images and PDFs, and will soon be capable of producing visualizations and embedding images in its reports. [3] It is based on a specialized version of OpenAI's o3 model. [3] Deep Research scored 26.6% on the "Humanity's Last Exam" benchmark, surpassing rivals like DeepSeek's model R1 (9.4%) and GPT-4o (3.3%). [4]
This month, it's OpenAI's new image-generating model, DALL·E. This behemoth 12-billion-parameter neural network takes a text caption (i.e. “an armchair in the shape of an avocado”) and ...
DALL·E 2's (top, April 2022) and DALL·E 3's (bottom, September 2023) generated images for the prompt A stop sign is flying in blue skies 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 ]
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