This image, rendered by Dall-E 3, shows how using ChatGPT to fill in a prompt produces a more coherent and sophisticated image. It might normally require a huge amount of prompt engineering, whereby a user tries increasingly complex prompts to create something sophisticated. But with Dall-E 3, ChatGPT takes on the work of crafting that more sophisticated prompt.
Dall-E 3 produced this image in response to the following prompt: “An illustration of a human heart made of translucent glass, standing on a pedestal amid a stormy sea. Rays of sunlight pierce the clouds, illuminating the heart, revealing a tiny universe within. The quote ‘Find the universe within you’ is etched in bold letters across the horizon.”
Dall-E 3 will also let users refine a creation through ChatGPT, as if they were asking a real artist to make changes. “You won’t really have to worry about fussing around with really long prompts,” says Aditya Ramesh, lead researcher and head of the Dall-E team. “Instead, you can just interact with ChatGPT as if you were talking to a coworker.”
Gabriel Goh, lead researcher on the Dall-E team, demonstrated the trick to WIRED by asking Dall-E 3 to create several promotional posters for an imaginary noodle restaurant. After being presented with a few options, Goh asked Dall-E 3, through ChatGPT, to take one of them and turn it into an illustration of a sign hanging outside a restaurant.
Dall-E 3 is available now through ChatGPT Plus, a paid version of the chatbot.
In 2022, the emergence of numerous AI art generators heralded the start of a broader generative AI boom. Many of the early generators were crude and unable to refine or modify images. Besides OpenAI, startups including, , and have attracted significant funding and public interest. But the use of these AI art systems has also prompted concern that , and about to train their algorithms.