That's using the wrong tool for a job :). Asking diffusion models to give you a valid circuit diagram is like asking a painter to paint you pixel-perfect 300DPI image on a regular canvas, using their standard paintbrush. It ain't gonna work.

That doesn't mean it can't work with AI - it's that you may need to add something extra to the generative pipeline, something that can do circuit diagrams, and make the diffusion model supply style and extra noise (er, beautifying elements).

> Keep in mind that we are not requiring any particular configuration of circuit diagram, just any diagram that makes sense. There are an infinite number of valid ones.

On that note. I'm the kind of person that loves to freeze-frame movies to look at markings, labels, and computer screens, and one thing I learned is that humans fail at this task too. Most of the time the problems are big and obvious, ruining my suspension of disbelief, and importantly, they could be trivially solved if the producers grabbed a random STEM-interested intern and asked for advice. Alas, it seems they don't care.

This is just a specific instance of the general problem of "whatever you work with or are interested in, you'll see movies keep getting it wrong". Most of the time, it's somewhat defensible - e.g. most movies get guns wrong, but in way people are used to, and makes the scenes more streamlined and entertaining. But with labels, markings and computer screens, doing it right isn't any more expensive, nor would it make the movie any less entertaining. It seems that the people responsible don't know better or care.

Let's keep that in mind when comparing AI output to the "real deal", as to not set an impossible standards that human productions don't match, and never did.