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Prompts 1980s Woman Cat Rainy Night Street Image Prompt

model image_generation template risk: low

1980s Woman Cat Rainy Night Street Image Prompt

This structured prompt details an 1980s-style woman walking with a cat in worn clothes on a rainy nightfall dead-end street with tree-lined single-story houses, using photorealisti…

PROMPT 

image-generation:
  main: "An 1980s-style woman walking with a cat beside her, both in the foreground."
  clothes: "worn jacket, blanket and old pants."
  faces: "Not visible or turned away"

  environment:
    streets: "Tree-lined, single-story houses, dead-end street."
    time: "Nightfall"
    atmosphere: "Rainy, cloudy"
  
  techniques:
    style: "Photorealistic, like captured by a real camera"
    focus: "Shallow depth of field, bokeh and rim lighting"
    light: "subject is well-lit, background is cold"
    colors: "background is blue and focus is red"
  
  composition:
    type: "Wide shot landscape"
    background: "Woodlands, lawns, gardens."
  
  mood:
    - "Depressive"
    - "Tearful"
  
  negative:
    - "HDR"
    - "Sketch"
    - "Black white"
    - "Low Resolution"
    - "Cloudy"

REQUIRED CONTEXT

  • YAML image generation configuration

EXPECTED OUTPUT

Format
image_prompt

CAVEATS

Missing context
  • Target image generation model (e.g., Stable Diffusion, Midjourney).
  • Output format (e.g., single prompt string, aspect ratio, resolution).
  • Definition of '1980s-style woman' (e.g., specific fashion elements).
Ambiguities
  • Potential conflict between 'environment.streets: Tree-lined, single-story houses, dead-end street' and 'composition.background: Woodlands, lawns, gardens.'
  • 'blanket' listed under clothes without clear context (e.g., as shawl?).
  • 'focus is red' ambiguous (subject lighting or color grading?).
  • Negative prompt includes 'Cloudy' but atmosphere is 'Rainy, cloudy'.

QUALITY

OVERALL
0.70
CLARITY
0.75
SPECIFICITY
0.85
REUSABILITY
0.30
COMPLETENESS
0.80

IMPROVEMENT SUGGESTIONS

  • Standardize formatting to valid YAML or JSON for better parsability.
  • Resolve background conflicts by clarifying or merging environment and composition sections.
  • Add placeholders (e.g., {subject}, {style}) to make it a reusable template.
  • Combine sections into a sample full prompt string with usage instructions.
  • Remove or qualify conflicting negative prompts like 'Cloudy'.

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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