Alternatively, make an annotated dataset with 1000 words per picture. Then, use that dataset to train an image generating AI. Next, delete 50 words from each picture, and train another AI with that new dataset. Keep on going like that until you have a bunch of image AIs. Test all of them to see how many words do you really need to make a working model. Will there also be a point of diminishing returns, or was the 1000 word model clearly the best one?
Alternatively, make an annotated dataset with 1000 words per picture. Then, use that dataset to train an image generating AI. Next, delete 50 words from each picture, and train another AI with that new dataset. Keep on going like that until you have a bunch of image AIs. Test all of them to see how many words do you really need to make a working model. Will there also be a point of diminishing returns, or was the 1000 word model clearly the best one?