Why this prompt is useful
Best for city-feature covers, travel-column headers, and memory-book illustrations; naming the city, two reliable landmarks, and one local transport mode improves place recognition. It deliberately permits memory-like compression rather than map accuracy, so verify landmark structure, transport logic, and cultural details before publication, and keep the image text-free when lettering is unreliable.
Complete image prompt
Paste this prompt as-is. It reads the current context and uses safe, coherent defaults; add details only when you want tighter control.
3 generated reference examples
These examples show possible visual outcomes and useful comparison points. Treat them as references, not as a promise that every model or run will reproduce the same result.
Generated exampleLisbon waterfront memory
Uses Belém Tower, Jerónimos Monastery, the 25 de Abril Bridge, and a yellow tram to test landmark layering, transport scale, six adults, and text-free public-life detail.
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Generated exampleLondon riverside after rain
Uses Tower Bridge, St Paul's Cathedral, the London Eye, and a red double-decker bus to test cool-warm color balance, rain-washed space, six adults, and blank-page fallback.
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Generated exampleSan Francisco bay slope
Uses the Golden Gate Bridge, Ferry Building, Coit Tower, and a cable car to test fog-softened recognition, slope perspective, six adults, a blank clock face, and a text-free newspaper.
View full imageReference images were generated for AI Prompt Card. Results vary by model, settings, seed, and the details you provide.
From visual idea to usable image
- 1
Add details when useful
The prompt works without a form. Add a subject, setting, use, format, or must-keep details only when you want tighter control.
- 2
Generate and inspect
Run the prompt, then check composition, light, anatomy, text, reflections, and spatial relationships.
- 3
Change one variable at a time
Hold the subject and setting steady, then adjust one major variable such as camera, light, or visual treatment.
What a reliable image prompt controls
Subject and action
Define the central object, pose, orientation, expression, and relationship to other objects.
Setting and space
Describe foreground, middle ground, background, place, time, and plausible environmental elements.
Composition and camera
Control shot size, subject placement, viewpoint, lens feel, depth of field, negative space, and output format.
Light, material, and color
Keep light direction, shadow, reflection, material, and palette physically and visually consistent.
Negative constraints and boundaries
State prohibited objects, errors, brands, identity copying, watermarks, garbled text, and inconsistent elements.
Frequently asked questions
Can I paste these prompts directly into an image generator?
Check the working-method label first. Direct-generation prompts can go into a compatible tool; prompt-builder prompts can go straight to an AI assistant, which will infer context and produce the final image prompt.
Why do the prompts include composition, lighting, and negative constraints?
Those fields help a model understand visual hierarchy and reduce conflicts. Negative constraints describe unwanted objects, text, identity copying, and common visual errors.
What should I consider when using real people or reference images?
Confirm that you have the necessary rights and consent. Use references for composition and observable technical attributes by default, without copying a real identity or a living creator's distinctive style.
Inspiration source
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