We are biased — this is our tool. We are also the only team in this comparison willing to publish blind-rated quality scores against our own competitors, which we think speaks for itself. Here is the unvarnished version of why we built it the way we did, including the parts we are still working on.
Why Flux.1 LoRA + PuLID. Most diffusion-only generators (Aragon, Canva) train a single global model and try to nudge it toward your face with prompt engineering. That is fast but produces the "almost you" effect — the face is recognizable as a person who could be your cousin. We instead train a small per-user LoRA adapter on your selfies, then layer PuLID identity reinforcement at sampling. Training takes about two minutes. Result: meaningfully tighter facial similarity scores in our blind panel, especially on the skin-tone and face-shape edges where global models drift.
18+ scenes, picked by demand. We did not chase scene count for marketing copy. Our scene catalog reflects the actual jobs people use AI headshots for: LinkedIn Pro, Corporate Team, Executive Corner, Startup Founder, Real Estate, Doctor, Lawyer (Boardroom), Academic Scholar, Keynote Speaker, Casual Dating, plus seven more. Job seekers, real-estate agents, founders pitching investors, doctors updating clinic websites — all real recurring use cases.
Honest weaknesses. We are newer than the incumbents, which means lower review counts on third-party directories. We do not yet support full body or group shots — only head-and-shoulders to half-body framings. And on extreme styling requests (heavy theatrical makeup, prosthetics, costume cosplay) the per-user identity adapter can over-constrain the output. If you need either of those, the right tool is probably a generic image generator, not a headshot generator.