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DALL·E, DALL·E 2, and DALL·E 3 (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.
In January 2021, OpenAI introduced DALL·E. One year later, our newest system, DALL·E 2, generates more realistic and accurate images with 4x greater resolution. DALL·E 2 is preferred over DALL·E 1 when evaluators compared each model. 71.7% preferred for caption matching. 88.8% preferred for photorealism. A focus on safety.
Jan 5, 2021 · We’ve trained a neural network called DALL·E that creates images from text captions for a wide range of concepts expressible in natural language. Illustration: Justin Jay Wang. DALL·E is a 12-billion parameter version of GPT-3 trained to generate images from text descriptions, using a dataset of text–image pairs.
DALL·E 3 will be available to ChatGPT Plus and Enterprise customers in early October. As with DALL·E 2, the images you create with DALL·E 3 are yours to use and you don't need our permission to reprint, sell or merchandise them.
Nov 3, 2022 · How the name was formed. How did the creators at this company come up with the name DALL-E? The name is a combination of the artist Salvador Dali and the robot WALL-E from Pixar. Combining...
- Brittney Grimes
Sep 12, 2024 · DALL-E, first introduced in January 2021, is a variant of the language-processing model based on GPT-3, another significant development by OpenAI. The "DALL" in DALL-E pays tribute to the surrealist artist Salvador Dalí, while the "E" refers to Pixar's animated robot Wall-E.
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DALL·E is an AI system developed by OpenAI that can create original, realistic images and art from a short text description. It can make realistic and context-aware edits, including inserting, removing, or retouching specific sections of an image from a natural language description.
