New Issue: Orbital Catastrophe Ahead? Read Now

Lvmin Zhang

Developing artificial-intelligence systems to enhance digital art creation

Stylized illustration portrait of Lvmin Zhang by Jessine Hein.

Jessine Hein; With special thanks to the Exploratorium, San Francisco, Calif.

Join Our Community of Science Lovers!

When Lvmin Zhang was in high school, he says, everyone thought artificial intelligence was science fiction. A machine couldn’t possibly hold a conversation with a person.

That was then. Today Zhang, a graduate student at Stanford University, is at the forefront of AI development, making it easier for artists to create what’s in their heads. Digital art can be painstaking—getting an image or an idea from brain to chip by using software or asking AI to build a vision, layer by layer, without its having any a priori knowledge of what the artist is trying to create.


On supporting science journalism

If you're enjoying this article, consider supporting our award-winning journalism by subscribing. By purchasing a subscription you are helping to ensure the future of impactful stories about the discoveries and ideas shaping our world today.


Portrait photograph of Lvmin Zhang by Christie Hemm Klok

Christie Hemm Klok

Zhang’s AI, ControlNet, aims to fix that by giving image-creating AI systems what amounts to directions. It provides parameters allowing a user to build on an initial prompt in a way that keeps the parts of the image they want, adjusts to refining prompts and designs the product they have in their brain. Previously this process was hard—the image-creating AI wouldn’t necessarily know, even with the most precise prompts, how to add or shade or place objects in the artwork, for example. ControlNet lets the computerized image creator into the mind of the human creator.

Zhang’s work, developed not long after he started his Ph.D., is becoming popular. He recognizes that the use of AI in art is something that both creators and viewers are still grappling with on a philosophical (Is this art?), if not legal (Is copyright involved?), level, but he believes that AI can be helpful. “The real questions are what it can do, what it can’t, why it’s capable of the things it is and what it should be doing in the first place. That’s the groundwork we need before AI can really help people in ways that are efficient, honest, genuinely engaging and thought-provoking and that, at the end of the day, have some real heart to them.”

This article is part of The Young American Scientists, an editorially independent project that was produced with financial support from Regeneron. Special thanks to the Exploratorium in San Francisco, where Zhang's portrait and video interview were captured.

Brianne Kane is books and culture lead at Scientific American. After honing her reviewing skills at BUST Magazine and Electric Literature, Kane quickly made her mark at Scientific American by launching the first-ever end-of-year compilation of its staff’s favorite books and spearheading its lists of best fiction and best nonfiction of the year.

More by Brianne Kane
Scientific American Magazine Vol 335 Issue 1This article was published with the title “Lvmin Zhang” in Scientific American Magazine Vol. 335 No. 1 (), p. 61
doi:10.1038/scientificamerican072026-48mDkV0MdbfYahQawnhstn

Subscribe to Support Independent Journalism

Great science journalism requires human expertise, time, effort and creativity. And it costs money. That’s why I and the journalists here at Scientific American hope you’ll join our community.

When you subscribe, you are supporting staff and freelance journalists who are passionate about telling science stories that are true, important and compelling. Our editors and reporters are often experts in their fields, which means they understand the nuances of big discoveries and can untangle the breakthroughs from the hype. With a subscription, you are also supporting rigorous fact-checking to ensure the words we publish are precise and accurate. And you’re supporting original illustrations, graphics and photos that bring you closer to an advanced laboratory, an ice sheet in Antarctica or a space mission in orbit. You’re helping us craft other types of high-quality journalism as well: Our newsletters are carefully written, edited and curated by staffers you have or will come to know and love. Our Science Quickly podcast is based on original reporting, collaboration with editors and scientists and exacting production.

Subscriptions keep this engine running so we can continue to deliver thoughtful, rigorous and independent science journalism to you. In an era of viral misinformation, this work is crucial. If you value what we do, I hope you’ll consider joining us as a subscriber

Thank you,

Jeanna Bryner, Editor in Chief, Scientific American

Subscribe