Split-Screen Time Travel Scene example 1

imageFree

Split-Screen Time Travel Scene

A complex prompt designed to generate a seamless horizontal split-screen image blending historical and modern eras within a single scene. (free to use) — Free AI image template on PicX Studio.

gpt-image-2

Sample Prompt

A horizontal split-screen cinematic shot of {argument name="scene" default="Times Square, New York"}, seamlessly blending two different eras: {argument name="first era" default="1920s"} on the left and {argument name="second era" default="present day"} on the right (default: about 100 years ago vs. present day). On the left side: show era-appropriate architecture, interior or environment design, materials, vehicles, and props that clearly belong to that historical period. People wear authentic clothing from the era, including hairstyles, accessories, and typical items in their hands. The overall mood feels nostalgic and historically accurate. On the right side: show the same scene in the modern era, with updated architecture or renovated structures, contemporary materials (glass, steel, LED screens, modern furniture), modern vehicles or equipment, and current technology. People wear contemporary fashion that matches today’s style in this setting. In the center: the two eras merge and overlap organically, without a hard dividing line. Elements from both eras visually interact: people from different times look at each other, walk through each other’s space, or seem surprised by the other era’s technology and objects. Architecture and environment smoothly morph from old to new. Make sure the scene is not just a simple left/right comparison but a dynamic time-travel interaction. Photorealistic, 8k resolution, cinematic lighting, wide angle, highly detailed textures, rich sense of time-travel storytelling. Aspect Ratio: 4:3

A practical guide to Split-Screen Time Travel Scene

Use Split-Screen Time Travel Scene to plan an AI image around gpt-image-2 generation, themes such as en and gpt-image-2. Match the preview's composition first, then personalize the subject, setting, and mood for your own project.

Model direction: start with gpt-image-2, the model this template was tuned for, before comparing another model.
Composition: choose an aspect ratio for the final placement before you generate the image.
Creative direction: use en, gpt-image-2, twitter as the main visual anchors and change one variable at a time.