... but all, or almost all, of these would be irrelevant at a profile pic size. At that size, assuming these aren't just recapitulations of the training data (and I assume they aren't) this technique appears to be 99%+ successful.
Also, look at the non-face stuff. Some backgrounds are just "incredibly blurred vaguely landscapy stuff", which is plenty realistic, but I've seen the algorithm attempt wood grain, which went poorly. I've seem some bizarre patchwork backgrounds, and one picture had a person cut off to the right like a single photo trimmed from a family photo, and the cut-off person was some sort of SCP-monstrosity mercifully cut off by the edge of the photo. Still, the success is impressive. The failures are definitely going from "in your face" to "easy to ignore/miss".
Fix up the training data a bit and this'd be a profile pic machine.