Car poster
${primary_text:Megane}{ "category": "STUDIO_RACE_CAR_SIDE_PROFILE", "subject": { "vehicle_type": "GT endurance race car", "base_form": "Mod…
Prompt
${primary_text:Megane}{
"category": "STUDIO_RACE_CAR_SIDE_PROFILE",
"subject": {
"vehicle_type": "GT endurance race car",
"base_form": "Modern GT-class silhouette, low-slung aerodynamic body",
"branding": {
"primary_text": "Megane",
"replacement_rule": "All instances where 'Porsche' branding would normally appear are replaced with 'Megane'",
"style": "Clean motorsport typography, realistic vinyl application",
"placement": [
"Door panel main branding area",
"Side intake area where manufacturer name is typically placed"
]
},
"livery": {
"primary_colors": ["White", "Red", "Black"],
"pattern": "Sharp motorsport color blocking",
"finish": "Gloss paint with subtle reflections",
"decals": "Sponsor-style decals present but non-distracting"
},
"details": {
"aerodynamics": [
"Large rear wing",
"Front splitter",
"Side air intakes",
"Rear diffuser"
],
"wheels": {
"type": "Center-lock racing wheels",
"tires": "Slick racing tires with visible sidewall text",
"brakes": "Large performance brake discs visible through rims"
},
"surface_realism": {
"panel_lines": "Crisp and accurate",
"bolts_and_fasteners": "Visible around aero elements",
"minor_wear": "Subtle race-use marks, not damaged"
}
}
},
"pose_and_orientation": {
"view": "Perfect side profile",
"orientation": "Vehicle aligned horizontally, facing left",
"stance": "Static studio pose, wheels straight"
},
"setting": {
"environment": "Studio backdrop",
"background": {
"color": "Bold red and white graphic background",
"design": "Large typographic shapes abstracted behind the car",
"interaction": "No shadows cast onto background text"
},
"ground_plane": "Clean studio floor, minimal reflection"
},
"camera": {
"shot_type": "Side profile product-style shot",
"angle": "Eye-level, orthographic feel",
"focal_length_equivalent": "70-100mm (compressed, distortion-free)",
"framing": "Vehicle fully contained within frame",
"focus": "Entire car sharp from front splitter to rear wing"
},
"lighting": {
"setup": "Controlled studio lighting",
"key_light": "Even lateral illumination along body panels",
"fill_light": "Soft fill to maintain detail in shadow areas",
"highlights": "Clean reflections on paint and carbon surfaces",
"shadows": "Minimal, soft-edged, grounded under tires"
},
"mood_and_style": {
"tone": "High-performance, premium motorsport",
"atmosphere": "Editorial racing showcase",
"emotion": "Precision, speed, engineering confidence"
},
"style_and_realism": {
"style": "Photoreal automotive studio photography",
"fidelity": "High material accuracy (paint, carbon fiber, rubber)",
"imperfections": "Very subtle, realistic — not overly polished CGI"
},
"technical_details": {
"aspect_ratio": "Portrait crop adapted from landscape source",
"sharpness": "High across entire vehicle",
"noise": "Very low, studio clean"
},
"constraints": {
"no_original_brand_names": true,
"brand_replacement_enforced": true,
"no_watermarks": true,
"no_unreadable_text": true,
"single_vehicle_only": true
},
"negative_prompt": [
"incorrect car proportions",
"distorted wheels",
"warped typography",
"floating car",
"motion blur",
"cgi look",
"low detail textures",
"wrong brand logos",
"extra vehicles"
],
"extra_changes": {
"explicit_request": "Replace all 'Porsche' text with 'Megane'",
"implementation_note": "Typography scale, alignment, and realism preserved while changing brand name"
}
}How to use this prompt
- 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
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
Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.
Techniques in this prompt
Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.
Learn this techniqueRecommended models
Build on this prompt
Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.
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