Getty Images and Nvidia are expanding their AI partnership with the addition of the text-to-image platform Generative AI by iStock, designed to produce stock photos that can be used by individuals or enterprise customers. Built on Nvidia Picasso, a foundry for custom AI models, and trained exclusively on data from Getty Images’ proprietary creative libraries, Generative AI by iStock “has been engineered to guard against generations of known products, people, places or other copyrighted elements,” Getty explains, adding that “any licensed visual that a customer generates comes with iStock’s standard $10,000 USD legal coverage.”

Generative AI by iStock integrates with iStock’s library of authentic as well as stylized commercial‑ready imagery, including millions of exclusive photos, illustrations and videos.

The addition of Generative AI by iStock gives customers another option for securing visuals for print marketing, social posts, online promotions and other needs, Getty notes in its press release. Accessible in 75 languages, it modifies images in addition to generating new ones.

Getty is also enabling advanced iStock GenAI features through APIs for integration into creative applications and plugins, allowing for further customization.

“Getty Images is making advanced inpainting and outpainting features available via application programming interfaces, launching on iStock.com and Gettyimages.com soon,” according to the Nvidia announcement, adding that “developers can seamlessly integrate the new APIs with creative applications to add people and objects to images, replace specific elements and expand images in a wide range of aspect ratios.”

“The cost is $15 per 100 generated images,” according to TechCrunch, which says Generative AI by iStock is Getty’s second foray into AI image generation, building on Generative AI by Getty Images. “The difference is that the image platform from iStock — a stock photo service owned by Getty — helps individual or single-seat users, unlike Getty Images, which is more of a multiuser enterprise solution,” The Verge writes.

Although Getty is clearly taking pains to limit its models to sourcing from is own proprietary images as a way to avoid copyright infringement, TechCrunch cites a recent article in IEEE Spectrum, wherein NYU Professor Emeritus and AI critic Gary Marcus and visual effects artist Reid Southen “show how AI systems, including OpenAI’s DALL-E 3, regurgitate data even when not specifically prompted to do so. ‘[There’s] no publicly available tool or database that users could consult to determine possible infringement, nor any instruction to users as how they might possibly do so,’ they write.”

Getty specifies that Generative AI by iStock did not train on the company’s contributor library of editorial images “to prevent it from generating trademarks or known personalities,” per The Verge.