You're right, but your "if" is doing some heavy lifting. A result being able to be generated does not imply that a dataset contained content that resembled the

You're right, but your "if" is doing some heavy lifting. A result being able to be generated does not imply that a dataset contained content that resembled the result. These models are wildly intuitive and can assemble impossible ideas, even when datasets are purged of certain tags. I discovered this early on when I couldn't diagnose why most subjects came out as weirdly child-like elderly people. It turns out "mature" is not synonymous with "nsfw" when negative prompting, and a person absent of maturity, while not explicitly a child, doesn't quite look like a normal adult human, either. I don't think the model was trained on a large corpus of very old babies, yet it was able to imagine them. As long as a model knows what the pieces are or are not, it can be prompted assemble them.