SyntheticPic VS Diffee

SyntheticPic's answer

Built by Timothée Le Borgne (OMU SAS, France). The starting point: a professional photo session costs €100–500 and takes days, while generic AI generators are fast but can't hold a likeness. SyntheticPic was built around a different architecture — one private model per user, trained only on that person's selfies — with the privacy engineering to match, because training AI on faces demands more scrutiny, not less. Launched in 2026.

SyntheticPic's answer

SyntheticPic is a consumer product — customers are individual professionals rather than enterprises, and we don't publish customer names. Teams and photographers use it through the Pro program.

SyntheticPic's answer

Every user gets their own private AI model — a Flux LoRA trained exclusively on their selfies, never shared or pooled with other customers. An automated identity check keeps generated portraits faithful to your actual face, which is where generic AI headshot tools fail (faces drift). And the privacy promise is engineered, not just written: one click deletes your training photos, your face data, and the trained model itself.

SyntheticPic's answer

Three reasons. Resemblance: a private model locked to your face produces portraits that actually look like you, not a beautified stranger. - Pricing: one-time payment from €29 — no subscription, credits never expire. - Privacy: GDPR-grade by design, with named subprocessors, honest EU claims, and real data deletion — most competitors promise this in a policy; we built the endpoints. - Native in English, French, German and Spanish.

SyntheticPic's answer

Individual professionals who need a studio-quality headshot without booking a photographer: job seekers, consultants, founders, freelancers, lawyers, doctors, real-estate agents. European-first (in France a photo on your CV is still the norm), but usable worldwide. A Pro program exists for photographers and teams.

SyntheticPic's answer

Flux diffusion models with per-user LoRA fine-tuning, an automated face-identity verification gate on outputs, GPU cloud training infrastructure, and a Next.js/React front end. UX/UI is simple and amazing to browse.