DoppelshotDoppelshot
Photo modelsfrom 2 creditsby Phota

Phota in Doppelshot

Phota builds an identity profile of a person from a handful of photos, in minutes instead of a training run. Doppelshot uses it for the Studio twin: the best likeness short of training your own weights, rendered by GPT Image or Nano Banana.

What it is

  • An identity profile, not a model file: Phota reads your selfies and keeps what makes your face yours.
  • Rendering goes through a photo engine (GPT Image Flare or Sunburst, Nano Banana), so the look is that engine's.
  • Ready in a few minutes, no 25-minute training.

Maker site: Phota

What Doppelshot makes with it

  • The Studio twin tier: 100 credits once, then 2 to 3 credits a photo.
  • Every twin pack and your own prompt, on the twin instead of a selfie.

Engines and prices

EngineKindPriceCards
Twin Photo (Phota, Nano Banana 2)Twin photo2 creditsJust a picture, Studio headshot, Try on +18
Twin Photo (Phota, GPT Flare)Twin photo3 creditsJust a picture, Studio headshot, Try on +18
Twin Photo (Phota, GPT Sunburst)Twin photo3 creditsJust a picture, Studio headshot, Try on +18

Checked against the catalog on 2026-10-21.

Cards that run on it

Open a card, drop your selfie, and pick this engine in the Studio when it is not the default.

Questions

Studio twin or Trained twin?

Studio (Phota) is faster and gives the best likeness for most people. Trained gives you your own weights to download, trained on Ideogram.

How many selfies?

Ten to twenty clear photos of your face, different days and lights. The app checks them and tells you which to replace.

Try it on your selfieThe first preview is free, no card needed.

Other models

All AI models