AI really doesn't handle styles with restrictions like that well. I tried the stable diffusion website with variations on "black and white silhouette stencil image of a cat". It kept wanting to give the cat colored eyes, or it used shading, or the cat didn't have a coherent anatomy, along with the typical AI art "duds" that aren't really anything at all.
To be fair, I did get a couple of passable results when I replaced 'cat' with 'dog'. They were simple, but didn't have any obvious errors.
To be fair in the other direction, replacing 'cat' with 'abacus' gave me an (admittedly pretty) grid of numbers and some chainmail, and 'helicopter' suggested a novel design where two helicopter bodies would be stacked vertically, connected by a vertical shaft through the rotor, and which turned into a palm tree trunk above the top unit. Once you get out of the sample data, it starts to fall apart.
I feel like other people here are willing to forgive more errors than I am. They see an incoherent splotch in an image and assume more development can iron out all the problems, and I see a unavoidable artifact of the fact that these systems don't have a real understanding of what they're making.