This artist dominates the art created by artificial intelligence. And he’s not happy about it.
Rutkowski was surprised at first, but thought it might be a good way to reach a new audience. He then tried to look up his name to see if the piece he was working on had been published. An online search turned up a work that had his name attached to it but didn’t belong to him.
“It’s only been a month. And in a year? I probably won’t be able to find my job there because [the internet] will be flooded with AI art,” says Rutkowski. “It’s disturbing.”
Stability.AI, the company behind Stable Diffusion, trained the model on the LAION-5B dataset compiled by a German non-profit organization. LAION. LAION pooled the dataset and narrowed it down to watermark filtering images and those that weren’t aesthetically pleasing, such as logo images, says Andy Baio, a technologist and writer who uploaded and analyzed some Stable Diffusion data. Baio analyzed 12 million of the 600 million images used to train the model and found that most came from third-party websites like Pinterest and art store sites like Fine Art America.
Many of Rutkowski’s works were taken from ArtStation, a website where many artists upload their online portfolios. Its popularity as an AI hint is due to a number of reasons.
First, his fantastic and ethereal style looks very cool. He’s also prolific, and many of his illustrations are available online in high enough quality so there’s plenty to choose from. An early text-to-image generator called Disco Diffusion. proposed Rutkovsky as an example, tell me.
Rutkowski also added alternative text in English when uploading his work online. These image descriptions are useful for people with visual impairments who use screen readers and also help search engines rank images. It also makes them easier to clean up, and the AI model knows which images are related to hints.