Images generated by AI models trained on massive datasets often can’t be traced to specific training images, MIT CSAIL researchers found. Removing individual images from the dataset didn’t change outputs, complicating copyright questions.
I encountered this playing with stable diffusion. I was doing Art Nouveau images. With “Mucha” as a prompt I got lots of images in his style but none matched any piece I was familiar with. Whereas if I used “Klimt”, everything was pretty close to a couple of his more famous paintings. Just a variation in the amount of individual works in the training data…
I encountered this playing with stable diffusion. I was doing Art Nouveau images. With “Mucha” as a prompt I got lots of images in his style but none matched any piece I was familiar with. Whereas if I used “Klimt”, everything was pretty close to a couple of his more famous paintings. Just a variation in the amount of individual works in the training data…