Original document
GPT Image 2 · en
Scene:
Create a square class schedule board for Gym Brand, using gym-brand communication with clean architecture, membership-friendly structure, and premium local-acquisition polish. The composition should read as a practical, production-ready sports or fitness surface with a clear hierarchy, premium lighting, and obvious commercial intent. Keep the environment specific enough to feel real, but leave enough control in the layout for non-readable information modules, campaign blocks, or visualized metrics. Aim for a finish that works for a brand, club, app, academy, or event operator.
Subject:
Build the image around trainer near reception or class corridor. The subject should be original, believable, and free of any real-brand or celebrity cues. Use realistic apparel, safe body mechanics when movement is visible, and environmental props that support the category without clutter. The subject must stay visually dominant so the design still works as a communication asset rather than a pure scene study.
Important details:
The mood should read as organized accessibility. Treat layout, light, and supporting graphic structure as part of one polished delivery surface. Any schedule blocks, metric panels, quote zones, badges, or path diagrams must stay abstract and non-readable. Prioritize usefulness, clarity, and category truth over spectacle. The image should feel distinct from the series package while still belonging naturally to the same topic and business use case.
Use case:
Gym Brand single study 5/9, an independent rollout surface for the topic.
Constraints:
No readable text, no watermark, no logos, preserve exact 1:1 aspect ratio, no brand marks, no public-figure resemblance, no generic stock layout, no cluttered UI imitation, no accidental copyrighted insignia.How to use
- Copy the complete original prompt, including any parameters.
- Replace the subject, text and composition with your own requirements.
- Use a compatible external tool; check its current access conditions and review the result.
Before you start
- Check whether a reference image is required. A compatible model label does not mean this example was generated with that model.
- Keep names, figures and visible text accurate; results can vary between model versions.
