Maybe give it another five years, a few more $billion and a few more petabytes/flops and it will be good. Then finally everyone can generate art for their own Magic: the Gathering cards.
(That's the end goal, right?)
My dataset is a start, but it may benefit from focused training, the way Facebook's new Make-A-Scene https://arxiv.org/abs/2203.13131#facebook (not DALL-E 2 quality but not far from it) has focused losses on faces.
They're a very complex anatomical form, many small tendons and muscles. Many artists struggle to depict hands. They're not made out of a few straight lines like a torso, there's lots of skew going on. They're probably the hardest structure of the human body to 'learn' for a ML system.
Personally I really like leaning into the discontinuities and quirkiness of generated images. This is output from GLID-3: https://twitter.com/mwegner/status/1511139661095178241
> an astronaut riding a horse, and the astronaut has five fingers on each hand