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AI for Beginners · Aug 9, 2026

How to use Gemini Omni Flash to fake a 2.5D parallax shot from one photo

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Phillip Alcock · AI for Beginners

I used one photo of Acapulco Bay to make a 2.5D parallax shot.

A 2.5D parallax shot makes one flat photo feel as if the camera is moving through a real space.

It is not full 3D. The photo is treated as a few depth layers: things close to the camera, things in the middle, and things far away. When the camera moves sideways, the close layer appears to move fastest, the middle layer moves a little less, and the horizon hardly moves at all.

Your brain reads that difference as depth. It is the same visual clue you notice when looking out of a moving car: a fence rushes past, nearby trees slide across your view, and distant mountains barely seem to move.

The skill is called parallax.

You are faking camera movement by making different parts of one image move at different speeds. Things that should be nearer to the viewer move more. Things that should be far away move less.

For this image:

  • The palms and bougainvillea are closest, so they slide fastest.

  • The bay is further away, so it slides more slowly.

  • The islands and horizon are furthest away, so they barely shift.

One landscape photo from my place in Acapulco: plants and bougainvillea in front, the bay in the middle, then islands and boats further out.

Treat this photograph as a layered 2.5D parallax scene. Keep the exact Acapulco location, veranda, palms, bougainvillea, bay, islands, boats and bright midday light.

Create one continuous 16:9 eight-second camera move sideways to the right. The foreground palms and bougainvillea should move noticeably faster than the bay. The bay should move slightly faster than the distant islands and horizon. This difference in movement must create realistic depth parallax.

Do not distort the buildings, horizon, plants, boats or islands. Do not invent new scenery, people, birds, boats or weather. Add only a light natural breeze and subtle water movement.

Phil

Read the original on aiforbeginners.substack.com

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