Real-estate video from photographsAI video generation: the complete book

Real-estate video from photographs

A listing with video is watched longer and gets more calls: a clip conveys space and light the way no photo can. But shooting a video tour for every apartment is expensive and slow. A neural network solves this differently: it animates the property's existing photos — rooms "breathe", the camera passes gently through the space, and from 8–12 frames a neat tour is assembled.

What you can assemble from photographs

  • A tour of the rooms. Each room — a short shot with smooth camera movement and transitions between rooms.
  • A living interior. A static photo of a room with light movement: light from the window, barely-there dynamics — the frame stops being "dead".
  • Neighbourhood context. Wide shots of the street, the yard, a nearby park — the atmosphere of the place around the property.
  • Furnishing options. Show an empty room furnished different ways — how the space could look.

Upload a photo of a room and ask for a calm camera pass. Tip: "a bright spacious living room, high ceilings, large windows, daylight, soft shadows on the floor; the camera slowly pans left to right, revealing the room; calm, realistic". Video costs more than pictures: a clip is available after signing up and onboarding.

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How to describe the shot so it comes out decent

A weak prompt is "a beautiful room". A strong one is specific: what's in the frame, what light, where and how the camera moves. Keep four layers:

  1. Space. "A bright living room, high ceilings, east-facing windows, light parquet".
  2. Light and time. "Daylight, long soft shadows" — light sells a home best of all.
  3. Camera. "A slow pan", "a smooth pass forward", "an orbit from window to door" — without it the model will jerk the frame.
  4. Mood. "Calm, cosy, documentary" — without cinematic grandeur that gives away the fake.

Don't distort the property

The video must show the apartment as it is. You can't "draw in" extra square metres, windows with a non-existent view, hide defects or change the layout. That misleads the buyer and ends in cancelled viewings and complaints. A neural network is for presentation, not for substituting reality. If there's AI processing in the frame, say so honestly.

Assembling a tour in an evening

  1. Gather 8–12 good photos: the facade, rooms, key details.
  2. If needed, improve weak shots and remove the extra from the frame.
  3. Animate each photo with a short shot (image-to-video).
  4. Glue the shots into a tour: 60–90 seconds for a listing, 15–30 for social.
  5. Add a voice-over with a description and contacts and a calm background track.

An apartment-tour shot list

Which shots to take and in what order to glue them so ordinary photos become a convincing tour — for a listing and for social.

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What's next

In all these chapters everything rests on one skill — the ability to describe a frame. The book's final chapter is a large collection of ready video prompts you can simply copy and drop in your own subject.


In the Twelver chat a photo of a property comes to life right in the conversation: a camera pass, light, a voice-over and music — without a film crew. Starter tokens for video are granted after signing up and onboarding.

Try it yourself

Everything in this guide runs inside Twelver

One chat for text, images, video, music and voice — no separate services or subscriptions.

Open Twelver chat
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