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DALL-E (stylized as DALL·E) and DALL-E 2 are deep learning models developed by OpenAI to generate digital images from natural language descriptions.

Like GPT-3, DALL·E is a transformer language model. It receives both the text and the image as a single stream of data containing up to 1280 tokens, and is trained using maximum likelihood to generate all of the tokens, one after another.This training procedure allows DALL·E to not only generate an image from scratch, but also to regenerate any rectangular region of an existing image that extends to the bottom-right corner, in a way that is consistent with the text prompt.

DALL-E can generate imagery in multiple styles, including photorealistic imagery, paintings, and emoji. It can “manipulate and rearrange” objects in its images, and can correctly place design elements in novel compositions without explicit instruction. DALL·E excels at following natural language descriptions so users can plainly describe what they want to see.

Developers can now integrate DALL·E directly into their apps and products through Open AI API. More than 3 million people are already using DALL·E to extend their creativity and speed up their workflows, generating over 4 million images a day. Developers can start building with this same technology in a matter of minutes.

Microsoft is bringing DALL·E to a new graphic design app called Designer, which helps users create professional quality social media posts, invitations, digital postcards, graphics, and more.
Company is also integrating DALL·E in Bing and Microsoft Edge with Image Creator, allowing users to create images if web results don’t return what they’re looking for.

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You can read more about DALL-E here.

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