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Snowy Street Cozy (winter fit, cinematic)

STRUCTURED
Prompt2915 chars · 309 words
{
  "category": "SNOWY_STREET_WINTER_CANDID",
  "identity_lock": {
    "enabled": true,
    "priority": "ABSOLUTE_MAX",
    "instruction": "Lock identity to reference image exactly. Adult 21+ only."
  },
  "subject": {
    "demographics": "Adult woman, 21-29, match reference identity.",
    "hair": {
      "color": "Match reference.",
      "style": "Hair tucked into scarf/coat with a few strands visible",
      "texture": "Natural strands, slight static flyaways",
      "movement": "Minimal movement; cold air realism"
    },
    "face": {
      "eyes": "Exact reference eyes; slight squint from cold",
      "skin_details": "Natural texture; slight redness on cheeks (subtle, realistic)",
      "micro_details": "Preserve marks"
    },
    "clothing": {
      "outerwear": "Winter coat + scarf + beanie (no logos/text)",
      "fabric": "Wool knit texture visible; tiny snow specks on coat"
    },
    "accessories": {
      "jewelry": [
        "Silver hoops optional (may be hidden by scarf)"
      ]
    }
  },
  "pose": {
    "type": "Outdoor candid",
    "orientation": "Half-body",
    "hands": "Hands holding scarf near chin (gloves optional, unbranded)",
    "gaze": "Direct eye contact, cozy smile",
    "expression": "Warm, playful"
  },
  "setting": {
    "environment": "Snowy street at dusk",
    "background_elements": [
      "Falling snowflakes (fine particles, not fog)",
      "Streetlight bokeh",
      "Soft silhouettes blurred (no identifiable faces)"
    ],
    "depth": "Face sharp; background creamy bokeh"
  },
  "camera": {
    "shot_type": "Half-body winter portrait",
    "angle": "Eye level",
    "focal_length_equivalent": "35-50mm pro OR 26mm phone night mode",
    "framing": "4:5",
    "focus": "Eyes sharp; snowflakes softly blurred"
  },
  "lighting": {
    "source": "Streetlights + ambient dusk",
    "direction": "Soft top/side glow",
    "highlights": "Warm highlights on hair/cheeks",
    "shadows": "Soft, cinematic winter contrast"
  },
  "mood_and_expression": {
    "tone": "Cozy, cinematic, cute-relatable",
    "atmosphere": "Winter candid"
  },
  "style_and_realism": {
    "style": "Photoreal lifestyle",
    "imperfections": "Low-light grain allowed"
  },
  "technical_details": {
    "aspect_ratio": "4:5",
    "resolution": "High",
    "noise": "Moderate low-light grain",
    "mode_variants": {
      "amateur": "Phone night-mode feel: mild grain, slight tilt, imperfect framing",
      "pro": "Cleaner cinematic exposure, controlled highlights, shallow DOF"
    }
  },
  "constraints": {
    "adult_only": true,
    "single_subject_only": true,
    "no_text": true,
    "no_logos": true,
    "no_watermarks": true
  },
  "negative_prompt": [
    "fog machine",
    "smoke",
    "identity drift",
    "face morphing",
    "extra fingers",
    "warped hands",
    "readable text",
    "logos",
    "watermark",
    "plastic skin",
    "over-smoothing"
  ]
}

Overview

Snowy Street Cozy (winter fit, cinematic) is a free prompt on OpenRuna. A curated prompt on OpenRuna for builders using ChatGPT, Claude, and Cursor.

What this prompt does

"Snowy Street Cozy (winter fit, cinematic)" is designed to help you get reliable results from AI assistants for real prompt tasks. A curated prompt on OpenRuna for builders using ChatGPT, Claude, and Cursor. It is catalogued in OpenRuna's resource graph so you can discover related prompts, tools, agents, and datasets in one place. Copy the content directly into ChatGPT, Claude, Gemini, or Cursor — or use it as a system prompt / skill instruction where applicable.

Use cases

  • Use "Snowy Street Cozy (winter fit, cinematic)" when you need a repeatable prompt for professional workflows without writing instructions from scratch each time.
  • Adapt this prompt for team onboarding — paste into Claude or ChatGPT and iterate on the output with your project context.
  • Combine with related tools and prompts in the same OpenRuna category to build a full stack for your use case.
  • Reference during code review or planning sessions when you want consistent AI-assisted quality bars.

Example output

When you run this prompt, expect structured output similar to:

{
  "category": "SNOWY_STREET_WINTER_CANDID",
  "identity_lock": {
    "enabled": true,
    "priority": "ABSOLUTE_MAX",
    "instruction": "Lock identity to reference image exactly. Adult 21+ only."
  },
  "subject": {
    "demographics": "Adult woman, 21-29, match reference identity.",
    "hair": {
      "color": "Match reference.",
      "style": "Hair tucked into scarf/coat with a few strands visible",
      "texture": "Natural strands, slight static flyaways",
      "movement": "Minimal movement; cold air realism"
    },
    "face": {
      "eyes": "Exact reference eyes; slight squint fro…

Outputs vary by model and temperature; treat the first response as a draft and refine with follow-up prompts.

Tips by platform

Claude

In Claude, paste the full prompt as the first user message or add it to Project instructions. Ask Claude to confirm assumptions before executing. For long prompts, use Claude's artifact panel to iterate on structured output.

ChatGPT

In ChatGPT, start a new chat and paste this prompt verbatim. Enable GPT-4o or your preferred model for coding tasks. Use follow-ups like "apply this to [your context]" for best results.

Cursor

In Cursor, add key instructions from this prompt to .cursorrules or a SKILL.md file. Reference it in Agent mode with @ mentions. Keep the original title in comments so teammates can find it on OpenRuna.

Frequently asked questions

What is "Snowy Street Cozy (winter fit, cinematic)"?
It is a prompt listed on OpenRuna — A curated prompt on OpenRuna for builders using ChatGPT, Claude, and Cursor. You can copy and adapt it for ChatGPT, Claude, Cursor, or other AI tools.
Is this prompt free to use?
Most OpenRuna resources are open or CC0-licensed. Check the license on this page before commercial use. Premium collections are clearly marked.
How do I get the best results?
Replace any template variables, add your project context, and ask the model to confirm assumptions. Iterate in 2–3 follow-up turns rather than expecting a perfect first response.
Can I use this with Claude and ChatGPT?
Yes. The prompt is model-agnostic text. Tips on this page cover Claude, ChatGPT, and Cursor specifically.
Where can I find related resources?
Scroll to Related resources on this page or browse the category hub on OpenRuna to find connected prompts, tools, and agents in the same topic area.

Related resources