Phota for iOS · Available now

AI that keeps you
looking like you.

Powered by the image generation and understanding models for photography.

An always‑on personal photo assistant that makes any photo you took worth sharing.

Before After

Create with generative AI without compromising character consistency. One persistent identity across large campaigns and marketing content.

State-of-the-art identity for your own product. In side-by-side tests, users pick it over Nano Banana 2 or GPT Image 2 alone 9 times out of 10.

Backed by

  • a16z
  • Figma Ventures
  • Essence
  • & more
The technology

One likeness model. Any foundation model.

Phota adds a persistent likeness layer that carries identity across the image models you already use.
Supported base models OpenAI Nano Banana Qwen Ideogram FLUX 1.1
01

Any scene, any edit

Placed into any scene and edited without losing identity.

02

Reusable everywhere

One likeness carries across campaigns, avatars, and content.

03

Built for production

Large volumes, multi-subject scenes, the same person across contexts.

What people say

When likeness finally gets it right, people feel it.

This is the first time I've had a good image of myself.

Photographer

Good enough only works until someone builds exactly right.

Technology enthusiast

Your subjects are much better than Nano Banana. How did you do it?

Researcher · Google DeepMind

Busy mom here. I never have good photos of myself . This was a real boost to my self-esteem.

Mom

Haven't seen a model capture my dark skin tone this accurately.

Creator

No more excuses not to become an IG influencer.

Creator · Instagram
The comparison

Why not a foundation model? Why not LoRA?

Dimension Phota Foundation model alone e.g. Nano Banana, GPT-Image LoRA fine-tuning on a leading open-source model
01 Quality
  • Frontier-model quality + identity control
  • Great quality, but identity drifts
  • Open models only; quality and base capabilities can degrade
02 Multi-subject support
  • Compose any number of subjects with reliable identity
  • Identity quality degrades further with multiple subjects
  • No robust way to combine multiple LoRAs
03 Total cost
  • Train once per identity in ~1–3 minutes
  • No per-base-model retraining
  • No adapter serving
  • No additional training cost
  • Identity misses paid for in repeated generation
  • Increases with subjects × base models
  • Every adapter must be stored, deployed, and served
04 Persistence
  • One model per subject
  • Stable across scenes, edits, and base models
  • No persistent memory of the subject
  • Identity is re-referenced on every request
  • Persistent only within one model
  • Model upgrades makes the identity obsolete
05 Flexibility
  • Trains from 5+ casual photos
  • Reference images required for every request
  • 20–30+ curated, captioned images per subject
Read the full comparison
For enterprise, teams & platforms

Persistent likeness, priced for your scale.

Studios, marketing teams, avatar platforms, consumer photo apps — if likeness is critical , we offer custom enterprise plans: volume pricing, dedicated support and deployments. Tell us what you're building.
Contact us info@photalabs.com