DALL-E AI Image Generator
The speed of development using artificial for image generation has the potential to completely disrupt modern image production. In 2021, OpenAI created DALL-E, an AI model that is able to create images based on simple text descriptions. A second version called DALL-E 2 was unveiled in April, which OpenAI said can generate more realistic and accurate images “with four times greater resolution”. Created by machine learning engineer Boris Dayma, DALL-E Mini is an open-source AI model inspired by OpenAI’s tech that can create images from simple text prompts.
DALL-E (stylized as DALL·E) and DALL-E 2 are transformer models developed by OpenAI to generate digital images from natural language descriptions. Its name is a portmanteau of WALL-E and Salvador Dalí. DALL-E was revealed by OpenAI in a blog post in January 2021, and uses a 12-billion parameter version of GPT-3 modified to generate images. In April 2022, OpenAI announced DALL-E 2, a 3.5-billion parameter successor designed to generate more realistic images at higher resolutions that “can combine concepts, attributes, and styles”.
The program simply takes a text phrase — like “mountain sunset,” “Eiffel tower on the moon”, “Obama making a sand castle,” or anything else you could possibly imagine — and encoding it into a vector of numbers that the AI can understand. This encoded vector is then used by the AI to generate an image. The AI has been trained on a large dataset of images and descriptions, so it knows how to associate specific descriptions with specific types of images. Finally, the generated image is decoded back into a 2D array of pixels and displayed as a finished image. This process allows DALL-E 2 to generate high-quality, high-resolution images of a wide range of subjects, including both photorealistic and fantastical scenes.
“It unlocks people’s creativity and allows people to communicate more effectively,” says Shuman Ghosemajumder, former head of artificial intelligence at F5. “This has the potential to make people a lot more efficient and effective in generating illustrations and photos of different concepts that they want to be able to visualize.”
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