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By chance, I tried it a lot of times (through Bing) recently for two characters, a man and a woman. It's pretty bad at doing this. It keeps giving both characters the hair color I specified for one, and gives the man a bag when I specifiy the woman has a handbag. "Holding nothing" doesn't affect this. "Holding a ball of fog" tended to produce fog anywhere in the picture half the time. Also, a woman with a dress had to be specified as Caucasian to prevent the word "white" from being applied to the dress.
I fully concede it's not perfect, but if you compare it to prior models, you'll see it's a massive leap forward.
If I had to roughly quantify it, I'd say that about 2/4 of the pictures are what you asked for if you wanted a particular combination of 2 or 3 entities engaging in different activities. DALL-E 2 Experimental was maybe 1 in 16, and that was a pretty good model.
For MJ, and even SD, it's closer to random chance for getting something accurate.
If you can share an example prompt, I think I know a few tricks to getting it to understand which character or object you're referring to, it's mostly as simple as referring to the specific object directly, when you add more qualifiers.
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