This 1000%. I'm currently working on my own slightly more complex/customizable interface for Stable Diffusion because I firmly believe that the value lies not i

This 1000%. I'm currently working on my own slightly more complex/customizable interface for Stable Diffusion because I firmly believe that the value lies not in simple prepackaged text-to-image, but in the wealth of information, structure, and hierarchy that is compressed into its 4GB latent space. SD encodes only 4GB of information, but that information is so highly structured and compressed that it represents a sizable chunk of all images on the internet. The true value Stable Diffusion brings to the table is the sheer level of semantic meaning encoded into the vector spaces it samples from to generate images. The fact that it's open-source means anyone can write meta-algorithms to walk through and explore that latent space, too, and as Stability and other companies start releasing better and better models, the latent spaces of those models will become less and less entangled and more and more meaningful and—— We're on an exponential curve and it's so exciting.