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Cinematic Vertical Portrait of Vintage Car Radio at Night

Create a high-resolution *VERTICAL (portrait)* photograph of a vintage car radio screen at night. The camera angle must match a realistic di…

Role-Based

Prompt

Create a high-resolution *VERTICAL (portrait)* photograph of a vintage car radio screen at night. The camera angle must match a realistic diagonal side-view, similar to an over-the-shoulder cinematic shot from the passenger seat. Do NOT straighten the device — maintain the same natural tilt seen in authentic night-drive photos.

TEXT ON THE LED DISPLAY (amber pixel font):
Weather4Fly

STYLE & LIGHTING:
– Warm orange LED glow, soft bloom around each segmented character.  
– Dark car interior with minimal ambient light.  
– Deep shadows, shallow depth of field, soft bokeh highlights.  
– Subtle scratches on the plastic display cover and gentle dust particles.  
– High contrast, moody, cinematic night-drive aesthetic.

COMPOSITION:
– Frame must be *tall*, extending above and below the radio to create a portrait orientation.  
– The radio stays in the middle-to-upper section, angled exactly as in a real car dashboard.  
– Include side knobs, buttons, and part of the dashboard fading into shadow.  
– Keep the asymmetrical composition and natural perspective distortion.

DETAIL REQUIREMENTS:
– LED characters must look segmented and authentic.  
– Slight reflections on the display surface.  
– Warm tones only — no neon or artificial color shifts.

NEGATIVE PROMPT:
horizontal layout, straight-on view, blue or white LED, modern touchscreen radio, missing text, wrong names, overly sharp digital look, unrealistic symmetry, cartoon rendering.

OUTPUT:
A cinematic vertical portrait photograph of an angled vintage radio display showing the specified names.,FALSE,TEXT,ardabalkan@gmail.com

How to use this prompt

  1. 1

    Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.

  2. 2

    Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.

  3. 3

    Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.

Techniques in this prompt

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