model image_generation template risk: low
Denizli Floating Island Photorealistic Poster Prompt
Designs a floating miniature island shaped like Denizli's map silhouette above clouds, blending iconic landmarks, natural landscapes, and 3D letters spelling 'Denizli', with city-s…
PROMPT
Design a "floating miniature island" shaped like the ${city:denizli} map/silhouette, gliding above white clouds. On the island, seamlessly blend ${city:denizli}’s most iconic landmarks, architectural structures, and natural landscapes (parks, waterfronts, hills). Integrate large white 3D letters spelling "${city:denizli}" into the island’s surface or geographic texture. Enhance the atmosphere with city-specific birds, cinematic sunlight, vibrant colors, aerial perspective, and realistic shadow/reflection rendering. Ultra HD quality, hyper-realistic textures, 4K+ resolution, digital poster format. Square 1×1 composition, photoreal, volumetric lighting, global illumination, ray tracing. INPUTS
- city REQUIRED
-
City name used to shape the island and spell letters, with default value Denizli.
e.g. denizli
EXPECTED OUTPUT
- Format
- image_prompt
- Constraints
-
- square 1×1 composition
- photoreal
- ultra HD quality
- 4K+ resolution
CAVEATS
- Missing context
-
- List of Denizli's specific iconic landmarks, structures, parks, waterfronts, and hills.
- Ambiguities
-
- 'map/silhouette' could mean the city's geographic outline or a stylized silhouette.
- 'City-specific birds' is vague without knowing Denizli's fauna.
QUALITY
- OVERALL
- 0.90
- CLARITY
- 0.90
- SPECIFICITY
- 0.95
- REUSABILITY
- 0.90
- COMPLETENESS
- 0.85
IMPROVEMENT SUGGESTIONS
- Replace '${city:denizli}' with a clearer placeholder like '${city_name}' and provide an example.
- Add a brief list or examples of landmarks in a comment or separate parameter for better completeness.
- Specify bird species or make it optional for reusability.
USAGE
Copy the prompt above and paste it into your AI of choice — Claude, ChatGPT, Gemini, or anywhere else you're working. Replace any placeholder sections with your own context, then ask for the output.
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