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Post-Apocalyptic Taxi Survivor

Generates a cinematic vertical portrait of a rugged survivor standing on a ruined yellow taxi in a deserted Times Square-style city. (free to use) — Free AI image template on PicX Studio.

gpt-image-2

Sample Prompt

Create a hyper-detailed cinematic vertical full-body portrait of {argument name="character name" default="a rugged lone survivor"} standing heroically on the roof of one battered yellow New York taxi in the middle of a deserted, ruined Times Square-like city street at dawn. The subject is centered, shown head to boots in a confident wide stance, wearing exactly four main outfit pieces: a distressed dark leather jacket, a dirty beige T-shirt, muddy olive cargo pants, and worn brown boots. His face is intentionally soft-blurred or obscured while the body and environment remain sharp. Surround him with a post-apocalyptic urban canyon of tall skyscrapers, old theater signs, digital billboards, ivy creeping up building facades, dust, broken glass, scattered rubble, weeds growing through cracked asphalt, and warm golden backlight shining between the buildings. Include exactly 8 visible vehicles in the scene: 1 foreground yellow taxi beneath the hero, 2 abandoned cars on the left side of the street, 3 distant cars in the center background, 1 white van on the right, and 1 gray car on the right foreground. Make the taxi roof dented and dirty, with a small TAXI roof sign visible near the hero's feet. Use realistic high-end photo manipulation, dramatic cinematic lighting, deep perspective, volumetric haze, gritty textures, muted greens and yellows, sharp environmental detail, 35mm lens feel, low-angle medium-long shot, no extra people, no watermark, no readable large text except the taxi sign.

A practical guide to Post-Apocalyptic Taxi Survivor

Use Post-Apocalyptic Taxi Survivor 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.