Some of the questions:

How is it done? The images are pregenerated: 2.6M to be precise, all of them are here: https://generated.photos/faces

Technical challenges of better resemblance

We could either pre-generate (see the first comment - it’s an accurate guess), or generate just in time.

The first is way easier - same architecture, more storage (we are moving from instance’s storage to S3 so it will be an easy step).

On-demand generation would be much more expensive as you have to have a GPU server ready, and queue requests. We have it with https://icons8.com/upscaler ; it’s a bit of work and expense.

Additionally, you have to make it a paid service. Any ideas who could pay for that? Our usual customers are https://generated.photos/use-cases

Brad Pitt is not blonde

It definitely has some fitting issues; Brad Pitt is a good example as he dyes his hair. I've googled his hair situation so you don't have to. He most probably has gray hair, dyed dark, then highlighted.

That's a challenge huh! As a result, you can feel some of these guys manipulated hair color: https://i.imgur.com/bC6AxXO.jpg

Anyway, I had better luck with Angelina Jolie. Hairwise, her hair looks also toned, but our dataset has way more colored women: https://i.imgur.com/WmTzRAZ.jpg

Spam bots have a new face

On the boring side, it’s probably not worth it. Generated photography is detectable. A trained eye could spot it; big social media have models trained to a lot it.

Scraping a real life dataset makes more sense to me. Moreover, there are tons of ready ones.

Instead, here are are some of the other uses invented by our customers https://generated.photos/use-cases