It just plain isn't possible if you mean a prompt the size of what most people have been using lately, in the couple hundred character range. By sheer information theory, the number of possible interpretations of "a zoom in on a happy dog catching a frisbee" means that you can not match a particular clip out of the set with just that much text. You will need vastly more content; information about the breed, information about the frisbee, information about the background, information about timing, information about framing, information about lighting, and so on and so forth. Right now the AIs can't do that, which is to say, even if you sit there and type a prompt containing all that information, it is going to be forced to ignore most of the result. Under the hood, with the way the text is turned into vector embeddings, it's fairly questionable whether you'd agree that it can even represent such a thing.

This isn't a matter of human-level AI or superhuman-level AI; it's just straight up impossible. If you want the information to match, it has to be provided. If it isn't there, an AI can fill in the gaps with "something" that will make the scene work, but expecting it to fill in the gaps the way you "want" even though you gave it no indication of what that is is expecting literal magic.

Long term, you'll never have a coherent movie produced by stringing together a series of textual snippets because, again, that's just impossible. Some sort of long-form "write me a horror movie staring a precocious 22-year old elf in a far-future Ganymede colony with a message about the importance of friendship" AI that generates a coherent movie of many scenes will have to be doing a lot of some sort of internal communication in an internal language to hold the result together between scenes, because what it takes to hold stuff coherent between scenes is an amount of English text not entirely dissimilar in size from the underlying representation itself. You might as well skip the English middleman and go straight to an embedding not constrained by a human language mapping.