You got lucky! Here's a thread where I attempted the same just now: https://imgur.com/a/xiaiKXp

It has a lot of difficulty with the orientation of the cat and dog, and by the time it gets them in the right positions, the triangle is lost.

I dislike the look of chatGPT images so much. The photo-realism of stable diffusion impresses me a lot more for some reason.

This is just stylistic, and I think it’s because chatgpt knows a bit “better” that there aren’t very many literal photos of abstract floating shapes. Adding “studio photography, award winner” produced results quite similar to SD imo, but this does negatively impact the accuracy. On the other side of the coin, “minimalist textbook illustration” definitely seems to help the accuracy, which I think is soft confirmation of the thought above.

https://imgur.com/a/9fO2gxN

EDIT: I think the best approach is simply to separate out the terms in separate phrases, as that gets more-or-less 100% accuracy https://imgur.com/a/JGjkicQ

That said, we should acknowledge the point of all this: SD3 is just incredibly incredibly impressive.

This is adjustable via the API, but not in ChatGPT. The API offers styles of "vivid" and "natural", but ChatGPT only uses "vivid".

It looks terrible to me though, very basic rendering and as if it’s lower resolution then scaled up.