This successor to the original is capable of producing images that resemble photographs and illustrations that look as if they were made by a professional artist. Advances in machine learning could enable many valuable uses for AI-generated imagery, but also malicious use cases such as spreading lies or hate. Even so, users have shared images from prompts that include war crimes, school shootings, and the World Trade Center attack.ĪI-powered image manipulation, including spoof imagery of real people termed deepfakes, has become a concern for AI researchers, lawmakers, and nonprofits that work on online harassment. The system was not trained on explicit content, and it is designed to block certain keywords. Some of those creative prompts have taken DALL-E Mini in questionable directions, however. “It’s really hard to serve these models at scale they had to fix everything.” In recent weeks, DALL-E Mini has been serving up around 50,000 images a day. “Our engineers didn’t sleep for the first night,” says Clément Delangue, CEO of Hugging Face, on a video call from his home in Miami. Behold its renditions of “ Thanos looking for his mom at Walmart,” “ drunk shirtless guys wandering around Mordor,” “ CCTV camera footage of Darth Vader breakdancing,” and “ a hamster Godzilla in a sombrero attacking Tokyo.”Īs more people created and shared DALL-E Mini images on Twitter and Reddit, and more new users arrived, Hugging Face saw its servers overwhelmed with traffic. But after some recent improvements and a few viral tweets, its ability to crudely sketch all manner of surreal, hilarious, and even nightmarish visions suddenly became meme magic. The outwardly simple app, which generates nine images in response to any typed text prompt, was launched nearly a year ago by an independent developer. On June 6, Hugging Face, a company that hosts open source artificial intelligence projects, saw traffic to an AI image-generation tool called DALL-E Mini skyrocket.
0 kommentar(er)
