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Variations. DALL·E 2 can take an image and create different variations of it inspired by the original. Try DALL·E. 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.
Alec Radford, Mark Chen, Katie Mayer, Misha Bilenko, Mikhail Parakhin, Bob McGrew, Mira Murati, Greg Brockman, Sam Altman. DALL·E 3 understands significantly more nuance and detail than our previous systems, allowing you to easily translate your ideas into exceptionally accurate images.
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.
Experiment with DALL·E, an AI system by OpenAI.
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.
Unlock the potential of AI image generation in E-learning! Enhance educational materials with vivid visuals, create custom illustrations for complex concepts, and make learning an immersive experience. Leverage AI to generate engaging images that captivate learners and simplify the understanding of intricate topics.
DALL·E, DALL·E 2, and DALL·E 3 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.
