In a conversation I had on where, exactly, pictures in AI-generated images come from, I asked GPT “So, in essence, a stable diffusion checkpoint model uses learned pixel patterns to generate an image described in a prompt?” GPT: Yes, that's correct. A Stable Diffusion AI image generator, which is based on the concept of a checkpoint model, uses learned pixel patterns or learned parameters to generate images based on a prompt or a given input. These learned parameters capture general visual patterns, features, and representations that the model has learned from a large dataset of images during training. When you provide a prompt to the model, it uses the learned parameters as a starting point to generate an image that is influenced by the prompt. The learned parameters are used to guide the model's creative process in generating an image that aligns with the prompt, but the generated image is also influenced by random noise, which adds variability and creativity to the output. The