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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.
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 ...
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 ...
The technology behind Sora is an adaptation of the technology behind DALL-E 3. According to OpenAI, Sora is a diffusion transformer [10] – a denoising latent diffusion model with one Transformer as the denoiser. A video is generated in latent space by denoising 3D "patches", then transformed to standard space by a video decompressor.
Sora's technology is an adaptation of the technology behind the DALL·E 3 text-to-image model. [237] OpenAI trained the system using publicly-available videos as well as copyrighted videos licensed for that purpose, but did not reveal the number or the exact sources of the videos. [235]
As CTO, she led its work on ChatGPT, Dall-E, Codex and Sora, while overseeing its research, product and safety teams. [13] [18] [19] [20] She oversaw technical advancements and direction of OpenAI's various projects, including the development of advanced AI models and tools. Her work was instrumental in the development and deployment of some of ...
Several months after launching DALL-E 2 as a part of a limited beta, OpenAI today removed the waitlist for the AI-powered image-generating system, which will remain in beta but let anyone sign up ...