this was the first picture. what you get?
A tip. a important thing is to never use any words witch could be misinterpreted, “like a sheet of glass” could end up in a real “sheet of glass” in your image.
This is why you should avoid to mention for example creations processes “create a image”, or multi meanings like “in a Scene”. you could get sometimes images with brushes or theater stages with a Scene.
It is difficult for us humans to avoid such terms, our linguistics systems are more advanced do hide wrong interpretations, and we use constantly double meanings or allegorical symbols.
And in translation new issues can be put from GPT.
And something more:
The recaptioner actually does his job mostly good (beside some flaws like put technical structure in a completely natural environment). It adds up objects in a scene, but keeps them more neutral and simple. In this way it is easy to start simple, and then add up attributes until you get what you try to target. And you can reduce the change of flaws with have a attribute for all parts of a scene. Object (color pose mood etc) and environment (plants, sky, foreground, background) Lightning. All this helps to have no unwanted objects in a result, because the recaptioner has to fill less “gaps”.
Interesting is, if you not give much details, the recaptioner anyway lead the results in a very similar way. It is like the pictures witch are liked the most, have a strong weight. because without details, you should get way much more variations.