Generated Photos

The pre-generated gallery is the fastest entry point into the product, and it's the closest thing to a dedicated AI face generator search engine. Filter by age, gender, ethnicity, hair color, emotion, head pose, and accessories, then narrow down to a handful of candidates. Every image is already generated. No waiting, no parameter fiddling. That makes it the right tool when you need a believable face in the next five minutes.

Face Generator builds a photo-realistic person from scratch rather than filtering a fixed set. You pick sex, age, skin tone, hair color and length, head pose, emotion, makeup, and ethnic traits, and the tool renders a result instantly. The interesting part is continuity. The same base face holds up across roughly 11 million variations, so you can age a character, change their mood, or turn them from blonde to red-haired without ending up with a different person.

Human Generator takes the same idea past the shoulders. It renders whole body photos of generated humans with control over age, body type, pose, clothing, and background, which matters for anything that shows more than a headshot. You can also apply a generated face to a generated body, or try your own face on a synthetic body. There's a free tier for non-commercial work. Commercial jobs need a license.

Upload a portrait and the Anonymizer returns dozens of synthetic lookalikes that share the general age, skin tone, gender, and hair while dropping the biometric match. The company says uploads are processed in RAM and never stored as training data for future models, which sidesteps the data-retention complaints aimed at similar tools. Free for personal use, with commercial licenses sold separately.

GenYOU solves a different problem: instead of inventing a stranger, it generates photos of the same person across new settings and outfits while holding their identity steady. It started as a mobile app in 2024 and moved to the web in 2025, where it lost the app's aggressive NSFW filtering. It's the tool for AI influencer accounts and personal portrait sets rather than for populating a fictional cast.

The REST API exposes the face library and the Anonymizer to your own product, so an app can pull a synthetic avatar for a new user on signup or offer face-swap features inside an editor. Datasets cover the training side. They're sold as pre-made packs balanced by demographic parameters or ordered to a custom spec. Both are business-scaled products with contact-based onboarding rather than a self-serve checkout.