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Getty Images and Nvidia are deepening their AI partnership with the launch of Generative AI by iStock, a text-to-image platform specifically designed to create stock photography.
iStock’s Generative AI builds on Generative AI by Getty Images, Getty’s first foray into AI image generation. The difference is that Getty Images is more of a multi-user enterprise solution, whereas unlike Getty Images, iStock’s image platform, a Getty-owned stock photo service, supports individual or single users. It’s about being there.
Trained using Nvidia’s Picasso model, iStock’s Generative AI only learned from Getty’s creative library and iStock’s stock photo library. No training was done on Getty’s editorial image library to prevent the generation of trademarks or known persons.
“This allows users to have a more efficient workflow and more accurately get the photos they want.”
Grant Ferhall, Getty’s chief product officer, said: The Verge iStock’s Generated AI targets small and medium-sized businesses that need to find stock photos.
“This allows users to have a more efficient workflow and more accurately get the photos they want, even if it’s not possible with a camera,” Farhore says. He gave the example of someone looking for photos to explain climate change. They can prompt his Generative AI on iStock to create a photo of a penguin walking down a city street. Instead of hiring a photographer to find a swarm of penguins, the AI will take pictures of the swarm of penguins for you.
The price is $14.99 for 100 prompts, and each prompt generates four images.
Another key difference between the Getty Images AI platform and the new iStock service is legal coverage. Unlike Getty Images’ Generative AI, users do not receive unlimited compensation. The iStock platform has the same $10,000 per asset cap that we license for our current libraries. As with Getty’s first generative AI platform, customers can participate in a revenue sharing program based on Getty’s traditional licensing revenue plan.
The platform also comes with new in-painting and out-painting features. Inpainting allows the user to mask areas of the image and fill in people and objects with text from her prompts. OutPaint stretches your photo to different aspect ratios and fills in new areas.
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