[D] Do any Text-to-Image approaches work well with long complex prompts (i.e. paragraph or book chapter scale)?

Seems almost all the examples of text-to-image are based on tiny prompts with very few details ("avocado chair").

Do any such systems do a good job at keeping track of details - like [the first 2 paragraphs of The Hobbit](https://www.printfriendly.com/p/g/jP9qGu) and correctly place the "polished chairs", "pegs for hats and coats", and "deep-set round windows looking over his garden, and meadows beyond, sloping down to the river"?

Assuming they don't - what approach(es) might make sense to design such systems? …

book image machinelearning scale text text-to-image work