model image_generation template risk: low
Vintage Wet Road Lens Flare Photo Prompt
Provides a structured JSON object with details on colors, composition, environment, lighting, mood, objects, and style for a nostalgic 35mm film photograph of cars on a wet road wi…
PROMPT
{
"colors": {
"color_temperature": "warm",
"contrast_level": "high",
"dominant_palette": [
"black",
"dark green",
"red",
"yellow"
]
},
"composition": {
"camera_angle": "eye-level",
"depth_of_field": "medium",
"focus": "Cars on a wet road",
"framing": "The car in front is slightly off-center, with the road and trees creating leading lines into the distance."
},
"description_short": "An atmospheric, blurry photograph taken from a car's perspective, showing two other cars on a wet road with significant, warm lens flare obscuring the view.",
"environment": {
"location_type": "outdoor",
"setting_details": "A narrow, wet asphalt road lined with dense, dark trees and bushes. A house is barely visible in the background. The setting feels suburban or rural.",
"time_of_day": "afternoon",
"weather": "rainy"
},
"lighting": {
"intensity": "strong",
"source_direction": "front",
"type": "natural"
},
"mood": {
"atmosphere": "Nostalgic and cinematic road trip memory",
"emotional_tone": "melancholic"
},
"narrative_elements": {
"environmental_storytelling": "The wet, reflective road indicates a recent rain shower. The line of cars suggests a journey or commute, and the hazy, flared light creates a dreamlike, memory-like quality.",
"implied_action": "The cars are moving forward along the road, possibly driving away from the bright light source."
},
"objects": [
"dark sedan car",
"second car",
"wet road",
"trees",
"bushes",
"lens flare",
"taillights"
],
"people": {
"count": "unknown"
},
"prompt": "A vintage 35mm film photograph from a driver's point of view, looking down a narrow, wet country road. A dark BMW E34 sedan is just ahead, its red taillights on. Strong, warm lens flare from the sun creates dramatic yellow and red light streaks across the dark, moody scene. The road is lined with lush, shadowy trees after a rain shower. The aesthetic is lo-fi, hazy, and atmospheric, evoking a sense of nostalgia and melancholy.",
"style": {
"art_style": "realistic",
"influences": [
"lomography",
"indie film",
"90s aesthetic",
"analog photography"
],
"medium": "photography"
},
"technical_tags": [
"lens flare",
"analog",
"35mm film",
"blurry",
"atmospheric",
"backlit",
"wet road",
"lo-fi",
"cinematic",
"moody"
],
"use_case": "Training AI models to replicate analog film artifacts and atmospheric lighting conditions.",
"uuid": "6174aa00-9033-46dc-8f74-8c54ce90a956"
}
REQUIRED CONTEXT
- image scene details
EXPECTED OUTPUT
- Format
- json
- Constraints
-
- valid JSON object with specific fields like colors, composition, prompt
CAVEATS
- Missing context
-
- Aspect ratio or resolution for image generation
- Target AI image generation model
QUALITY
- OVERALL
- 0.70
- CLARITY
- 0.95
- SPECIFICITY
- 0.95
- REUSABILITY
- 0.20
- COMPLETENESS
- 0.95
IMPROVEMENT SUGGESTIONS
- Replace specific details like car model and UUID with placeholders (e.g., {car_model}, {uuid}) to enable templating.
- Add a top-level 'aspect_ratio' and 'resolution' field for complete image spec.
- Include usage instructions, e.g., 'Use the "prompt" field directly with Stable Diffusion or expand to full structured prompt.'
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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