model image_generation user risk: low
Structured Autumn Lakeside Illustration Prompt
Provides a JSON object with detailed specifications including colors, composition, environment, lighting, mood, narrative elements, style, and a main prompt text for generating a m…
PROMPT
{
"colors": {
"color_temperature": "warm",
"contrast_level": "medium",
"dominant_palette": [
"red",
"light blue",
"orange",
"grey",
"black"
]
},
"composition": {
"camera_angle": "wide shot",
"depth_of_field": "deep",
"focus": "The autumn trees and their reflection in the lake",
"framing": "The composition is adapted to a 1:1 square format, keeping the main visual weight of the trees on the right, balanced by the small fisherman on the left. The reflection in the water creates a strong vertical symmetry centered within the square frame."
},
"description_short": "A serene illustration of a lone person fishing on the shore of a tranquil lake, surrounded by vibrant red and orange autumn trees whose colors are reflected in the calm water.",
"environment": {
"location_type": "landscape",
"setting_details": "A calm lakeside on a misty day in autumn. The shoreline is composed of small rocks, and vibrant autumn foliage grows along the bank. In the distance, a forested hill is partially obscured by fog.",
"time_of_day": "morning",
"weather": "foggy"
},
"lighting": {
"intensity": "moderate",
"source_direction": "ambient",
"type": "soft"
},
"mood": {
"atmosphere": "Peaceful and contemplative autumn day",
"emotional_tone": "calm"
},
"narrative_elements": {
"character_interactions": "A solitary figure is engaged in the quiet act of fishing, creating a sense of peaceful interaction with nature.",
"environmental_storytelling": "The vibrant peak autumn colors and the perfectly still, reflective water suggest a fleeting moment of natural beauty and tranquility. The lone fisherman enhances the theme of solitude and quiet contemplation.",
"implied_action": "The person is patiently fishing, suggesting a quiet wait and a slow passage of time."
},
"objects": [
"autumn trees",
"lake",
"fisherman",
"fishing rod",
"rocks",
"forest",
"sky"
],
"people": {
"ages": [
"adult"
],
"clothing_style": "casual outdoor wear",
"count": "1",
"genders": [
"unknown"
]
},
"prompt": "A beautiful digital illustration of a serene autumn landscape in a 1:1 square format. A lone fisherman stands on a rocky shore beside a calm, reflective lake. To the right, vibrant trees with fiery red and orange leaves hang over the water, their perfect reflection mirrored below. The composition is balanced within a square frame, with the fisherman on the left and trees on the right. The background shows distant, misty hills under a pale blue sky. The art style is minimalist and graphic, with flat colors and a subtle texture, evoking a peaceful and contemplative mood. Art by Ryo Takemasa.",
"style": {
"art_style": "minimalist illustration",
"influences": [
"Japanese woodblock prints",
"graphic design"
],
"medium": "digital art"
},
"technical_tags": [
"illustration",
"minimalism",
"landscape",
"autumn",
"reflection",
"serenity",
"flat color",
"graphic design",
"lakeside",
"fishing",
"square format",
"1:1 aspect ratio"
]
} REQUIRED CONTEXT
- image scene specification
EXPECTED OUTPUT
- Format
- json
- Constraints
-
- valid JSON object with fields like colors, composition, prompt, etc.
CAVEATS
- Missing context
-
- Intended AI image generator or tool (e.g., Midjourney, DALL-E)
- Explicit success criteria for generated image quality
QUALITY
- OVERALL
- 0.75
- CLARITY
- 0.95
- SPECIFICITY
- 0.95
- REUSABILITY
- 0.25
- COMPLETENESS
- 0.90
IMPROVEMENT SUGGESTIONS
- Introduce placeholders (e.g., {scene_subject}, {season}) in values to enable templating and improve reusability.
- Add a 'usage_instructions' field explaining how to convert this JSON into a final prompt or image generation command.
- Include example output image description or reference links for validation.
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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