Getty Images is partnering with Nvidia to launch Generative AI by Getty Images, a new tool that lets people create images using Getty\u2019s library of licensed photos.\u00a0<\/p>\n<\/div>\n
Generative AI by Getty Images (yes, it\u2019s an unwieldy name) is trained only on the vast Getty Images library, including premium content, giving users full copyright indemnification. This means anyone using the tool and publishing the image it created commercially will be legally protected, promises Getty. Getty worked with Nvidia to use its Edify model, available on Nvidia\u2019s generative AI model library Picasso.<\/p>\n<\/div>\n
I got a hands-on look at Generative AI by Getty Images and got to play around with the tool for a bit. I mainly wanted to see how it generates photos, rather than illustrations, to test out how close to an actual Getty-watermarked picture it can get. And the photos look better than expected. Stock photos already have an artificial, soulless quality to them, and I was not surprised that some of the first few images the tool generated also felt… devoid of feeling. This feeling isn\u2019t exclusive to Getty\u2019s generative AI tool; the photos generated by the upcoming DALL-E 3<\/a> from OpenAI made me think the same.<\/p>\n<\/div>\n Getty\u2019s tool did well at rendering realistic-feeling human figures. I prompted it to create a photo of a ballerina in an arabesque position (standing on one leg with the other lifted behind) on a stage with a slightly blurred background. The photos I got felt more human than when I tried the same prompt with Stable Diffusion, and the Getty image fooled my friends when I texted it to them. It’s clear Getty\u2019s model trained not just on illustrated art but on actual photos. On the other hand, the tool\u2019s illustration mode only gave me 2D, clip-arty renderings of the same prompt. <\/p>\n<\/div>\n The company said any photos created with the tool will not be included in the Getty Images and iStock content libraries. Getty will pay creators if it uses their AI-generated image to train the current and future versions of the model. It will share revenues generated from the tool, \u201callocating both a pro rata share in respect of every file and a share based on traditional licensing revenue.\u201d<\/p>\n<\/div>\n \u201cWe\u2019ve listened to customers about the swift growth of generative AI \u2014 and have heard both excitement and hesitation \u2014 and tried to be intentional around how we developed our own tool,\u201d says Getty Images chief product officer Grant Farhall in a statement. <\/p>\n<\/div>\n The Getty tool does limit what types of images users can generate. It wouldn\u2019t let me create a photo of Joe Biden in front of the White House or a cat in the style of Andy Warhol or Jeff Koons. Any prompt with the name of an actual person was prohibited. Asking for an image of the president of the United States yielded pictures of both men and women, some of whom were people of color, in front of the US flag. The company told The Verge<\/em> the model \u201cdoesn\u2019t know who Andy Warhol, Joe Biden, or any other real-world person is\u201d because it doesn\u2019t want to manipulate or recreate real-life events.<\/p>\n<\/div>\n Customers can access Generative AI by Getty Images through the Getty Images website. The company said the tool will be priced separately from a standard Getty Images subscription, and pricing is based on prompt volume. It would not specify prices, however. <\/p>\n<\/div>\n Getty says users will get perpetual, worldwide, and unlimited rights to the image they created. (The technical copyright status of AI-generated images, that said, is still fuzzy<\/a>.) Getty said it is similar to when customers license content from its library, where the company owns the file but licenses it out for use. They can either write their own prompt or use the prompt builder to guide them. Users may also integrate the tool into their own workflows through an API.\u00a0True to form, Getty watermarks pictures created through the tool, identifying the photo as generated with AI. <\/p>\n<\/div>\n It\u2019s no surprise Getty is getting into the AI image game; after all, it has one of the largest libraries of images out there. But the company has battled other text-to-image generative AI developers, suing Stability AI for copyright infringement<\/a>, alleging its image generator Stable Diffusion used Getty photos without permission.\u00a0<\/p>\n<\/div>\n By building its own generative AI image platform, Getty can undercut other companies that want to use its image libraries to train models. Getty is far from the only firm setting up AI image platforms with its licensed data. Adobe released its Firefly model<\/a>, trained on its stable of licensed images, across its Creative Suite and Creative Cloud service.\u00a0<\/p>\n<\/div>\n The use of copyrighted material to train large language models and text-to-image systems has been a big concern for many in the creative community. Three artists previously sued<\/a> Stability AI, Midjourney, and art website DeviantArt for using their art without permission to train its models.<\/p>\n<\/div>\n