Greg Rutkowski, a digital artist known for his surreal style, opposes AI art but his name and style have been frequently used by AI art generators without his consent. In response, Stable Diffusion removed his work from their dataset in version 2.0. However, the community has now created a tool to emulate Rutkowski’s style against his wishes using a LoRA model. While some argue this is unethical, others justify it since Rutkowski’s art has already been widely used in Stable Diffusion 1.5. The debate highlights the blurry line between innovation and infringement in the emerging field of AI art.
Not the poster you’re replying to, but I’m assuming you’re looking for some sort of source that neural networks generate stuff, rather than plagiarize?
Google scholar is a good place to start. You’d need a general understanding of how NNs work, but it ends up leading to papers like this one, which I picked out because it has neat pictures as examples. https://arxiv.org/abs/1611.02200
What this one is doing is taking an input in the form of a face, and turning it into a cartoon. They call it an emoji, cause it’s based on that style, but it’s the same principle as how AI art is generated. Learn a style, then take a prompt (image or text) and do something with the prompt in the style.