I wonder if you could specialise a model by training it on a whole movie or TV series, so that instead of hallucinating from generic images, the model generates things it has seen closer-up in other parts of the movie.

You'd have to train it to go from a reduced resolution to the original resolution, then apply that to small parts of the screen at the original resolution to get an enhanced resolution, then stitch the parts together.