Home / Prompts / Elevator Mirror OOTD (full-body)

Elevator Mirror OOTD (full-body)

Image promptImagePublic domain (CC0)
53score

Prompt

{
  "category": "ELEVATOR_MIRROR_OOTD",
  "subject": {
    "demographics": "Adult woman, 21-27, Turkish-looking.",
    "hair": {
      "color": "Dark brown",
      "style": "Low ponytail or loose waves, casually arranged",
      "texture": "Real strands, slight frizz, flyaways present",
      "movement": "Hair rests naturally over coat collar"
    },
    "face": {
      "shape": "Soft oval",
      "eyes": "Expressive, natural catchlights",
      "nose": "Defined bridge",
      "lips": "Soft natural tint",
      "skin_details": "Pores visible, natural tone variation",
      "micro_details": "Baby hairs visible near temples"
    },
    "body_proportions": {
      "build": "Natural, fit",
      "posture": "Relaxed confident stance"
    },
    "clothing": {
      "outerwear": "Tailored long coat (no logos)",
      "inner": "Minimal top",
      "bottom": "Straight pants or jeans",
      "shoes": "Clean sneakers or ankle boots (no branding)",
      "texture": "Fabric weave visible; slight wrinkles at elbows"
    },
    "accessories": {
      "bag": "Small shoulder bag (no logos)",
      "jewelry": [
        "Small silver hoops"
      ]
    }
  },
  "pose": {
    "type": "Full-body mirror selfie (phone not shown directly; mirror reflection implied)",
    "orientation": "Standing slightly angled",
    "head_position": "Chin slightly down, casual",
    "limbs": "One hand adjusting coat cuff; other hand relaxed near bag strap",
    "legs": "One knee slightly bent, weight shifted to one hip",
    "gaze": "Looking at mirror reflection, calm confident"
  },
  "setting": {
    "environment": "Elevator interior",
    "background_elements": [
      "Brushed metal walls",
      "Soft overhead panel lighting",
      "Subtle fingerprints/smudges on mirror for realism"
    ],
    "depth": "Everything fairly clear; slight background softness"
  },
  "camera": {
    "shot_type": "Full-body mirror shot",
    "angle": "Slight downward tilt typical of handheld",
    "focal_length_equivalent": "24-28mm wide",
    "framing": "4:5 IG feed, full body visible",
    "focus": "Face readable, outfit sharp, minimal distortion"
  },
  "lighting": {
    "source": "Overhead elevator lights",
    "direction": "Top-down soft but slightly harsh (realistic elevator look)",
    "highlights": "Metal reflections controlled",
    "shadows": "Soft shadows under chin, coat folds",
    "quality": "Everyday realistic"
  },
  "mood_and_expression": {
    "tone": "Minimalist chic, confident",
    "expression": "Neutral with micro-smile",
    "atmosphere": "Candid commute vibe"
  },
  "style_and_realism": {
    "style": "Photoreal social",
    "fidelity": "Fabric texture, metal reflections realistic",
    "imperfections": "Slight noise, imperfect framing"
  },
  "technical_details": {
    "aspect_ratio": "4:5",
    "noise": "Mild",
    "sharpness": "Face + outfit crisp"
  },
  "constraints": {
    "adult_only": true,
    "no_text": true,
    "no_logos": true,
    "no_watermarks": true,
    "single_subject_only": true
  },
  "negative_prompt": [
    "mirror glitches",
    "double reflections",
    "warped elevator",
    "extra limbs",
    "bad hands",
    "plastic skin",
    "readable text",
    "logos",
    "watermark",
    "cgi",
    "cartoon",
    "anime"
  ]
}

Context cost: ≈818 tokens when used.

Why this score

Quality checklist33/40
Community votes20/30
Editor pick0/15
Fill-in fields0/10
Discussion0/5

Quality checklist

  • Describes the subject: no
  • Names a style: yes
  • Specifies lighting: yes
  • Specifies camera or composition: yes
  • Sets quality or detail: yes
  • Gives size, duration or parameters: yes

The checklist is automatic and applies the same rules to every prompt. It checks structure, not whether the output is good. Prompt scores aren't comparable with tool scores. How we rank

Security

Scanned Nov 4, 2026 at the text shown on this page, with Cisco's open-source skill-scanner.

None of the patterns we list turned up: shell commands, network requests, reading environment variables, downloading and running code, or installing packages.

A scan lists patterns in the code. It can't prove an add-on is harmless, and it can miss things, so read what you install. How we scan

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