Premium Sports Editorial Collage - Image 1

Image prompt

Premium Sports Editorial Collage

A sophisticated multi-panel sports photography prompt designed for high-end editorial posters and Nike-style marketing campaigns.

Model
GPT Image 2 Prompts
Category
Poster / Flyer / Product Marketing
Source
Internal curation
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Full Prompt

Copy directly into the target model and adjust for your input assets.

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Ultra-premium sports editorial poster collage of a powerful {argument name="athlete" default="female basketball athlete"} in a {argument name="uniform colors" default="red and white"} uniform, cinematic Nike-style campaign aesthetic, glossy indoor basketball court reflections, dramatic studio lighting, bold oversized typography in background saying “BUILT DIFFERENT”, clean luxury sports branding, intense confident poses.

Top panel: athlete sitting on polished court floor with one knee raised, basketball beside her, looking sideways with dominant confident expression, deep red seamless background, giant cream-colored typography behind subject, cinematic shadows, hyper realistic skin texture, sweat glow, high-fashion sports photography.

Bottom left panel: close-up beauty portrait of the athlete with eyes closed, glowing skin, slick hair, athletic elegance, minimal typography saying “PREPARE” and “PERFORM”.

Bottom right panel: dynamic low stance dribbling pose, action energy, motivational text saying “TRAIN HARD STAY HUNGRY”, luxury sports ad composition, reflective floor details.

Color palette: deep crimson red, white accents, cream typography, glossy hardwood reflections. Style: modern sports magazine cover, luxury athletic campaign, ultra detailed, photorealistic, sharp focus, symmetrical grid layout, cinematic contrast, commercial photography, 4:3 aspect ratio, premium typography design, editorial poster aesthetic.

Source Record

Original source details are kept for attribution and review.

GitHub source:YouMind-OpenLab/gpt-image-2-prompts-search

This page is adapted from YouMind OpenLab GitHub prompt libraries. License: MIT。