Skip to content
Lover Snap

Couples · Long-distance

The photos long-distance couples don't get to take.

Long-distance relationships are full of voice notes, video calls, and screenshots of the screen. What they don't have is photographs of the two of you actually in the same room. Lover Snap fills that gap — duo-mode AI photographs in any scene, generated from reference photos of each of you taken separately.

  • Photos of the two of you together, generated from photos taken apart
  • Duo mode combines two trained AI characters in one scene
  • Coffee shops, walks, restaurants, the trips you keep planning
  • Honest photorealism — not anime, not Instagram filter
  • Average user generates 8-12 duo photos per month

How it works

From a few photos to lifelike new memories.

  1. 1

    Upload selfies

    Pick 3-16 photos of yourself or the person you want to include. Variety helps: close-ups, full-body shots, different angles and outfits. Avoid sunglasses or hats that hide the face.

  2. 2

    Train your AI character

    Our Flux engine builds a private AI character that resembles the person in your reference photos. Training takes about 30 minutes. It only ever runs for you.

  3. 3

    Generate up to 16 photos at once

    Pick a scene — quiet kitchen, sunlit beach, anywhere — and generate photorealistic images in about 23 seconds each. Download the ones that feel right.

Long-distance questions

Will the AI photo look like both of us are really in the same place?
Yes — the Flux engine generates a single photorealistic scene with both characters composed naturally. After training both your AI characters, duo mode handles the composition automatically.
How many photos of each of us do we need?
3-16 reference photos per person. Variety helps more than count — different angles, expressions, settings. Mix close-ups and full-body shots.
Can we generate photos in real-life cities?
Yes. Use scene prompts that describe a specific city or venue. The AI may not replicate the location exactly, but it produces a recognizable approximation.