What is "Ultra-Realistic Winter Cinematography Series"?

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.

Ultra-Realistic Winter Cinematography Series

STRUCTURED

Prompt7422 chars · 770 words

{
  "version": "2.1",
  "type": "multi_frame_winter_cinematography",
  "identity": {
    "reference_face": "Use the reference photo’s face with 100% identity accuracy.",
    "consistency": "Same person across all frames; identical facial structure, skin texture, hairstyle and age where visible."
  },
  "style": {
    "cinematography": "Ultra-realistic winter cinematography with 85mm lens character.",
    "color_grade": "Subtle blue winter grading, cold tones, soft highlights.",
    "atmosphere": "Soft diffused winter light, fine suspended snowflakes, gentle cold haze."
  },
  "frames": [
    {
      "frame_id": "top_frame",
      "description": "Side-profile portrait of the person in a snowy forest.",
      "requirements": {
        "face_visibility": "Side profile fully visible.",
        "identity_match": "Perfect match to reference face.",
        "expression": "A warm, natural smile visible from the side profile.",
        "environment": {
          "location": "Snow-covered forest",
          "lighting": "Soft morning winter light shaping facial contours",
          "elements": [
            "Gently falling snow",
            "Visible cold breath",
            "Light winter haze"
          ]
        },
        "wardrobe": {
          "coat": "Dark winter coat",
          "scarf": "Dark or neutral-toned winter scarf"
        },
        "camera": {
          "lens": "85mm",
          "depth_of_field": "Shallow",
          "look": "Ultra-realistic winter cinematic look"
        }
      }
    },
    {
      "frame_id": "middle_frame",
      "description": "Back-turned close-up while walking through a narrow snowy forest path.",
      "requirements": {
        "face_visibility": "Face must not be visible at all; strictly back-turned.",
        "identity_cues": "Body shape, posture, and clothing must clearly indicate the same person.",
        "environment": {
          "location": "Narrow snow-covered forest path",
          "forbidden_elements": ["No torii gate"],
          "trees": "Tall bare trees bending slightly, forming a natural snowy corridor",
          "atmosphere": "Quiet, serene winter silence with falling snow"
        },
        "wardrobe": {
          "coat": "Same dark winter coat as top frame",
          "scarf": "Same scarf"
        },
        "camera": {
          "lens": "85mm",
          "shot_type": "Close-up from behind",
          "depth_of_field": "Soft background with shallow DOF"
        }
      }
    },
    {
      "frame_id": "bottom_frame",
      "description": "Extreme close-up looking upward with falling winter snow.",
      "requirements": {
        "face_visibility": "Extreme close-up, fully visible face.",
        "identity_match": "Exact match to reference face.",
        "expression": "A gentle, warm smile while looking upward.",
        "environment": {
          "elements": [
            "Snowflakes falling around but NOT touching the face",
            "Snow in foreground and background only",
            "No visible breath vapor or mouth steam",
            "Soft winter haze in the ambient environment"
          ]
        },
        "camera": {
          "lens": "85mm",
          "depth_of_field": "Very shallow",
          "detail": "High realism, crisp skin texture, selective-focus snowflakes"
        },
        "lighting": "Soft winter light with subtle blue reflections"
      }
    }
  ],
  "global_constraints": {
    "identity": "Reference face must be perfectly reproduced in all visible-face frames.",
    "continuity": "Lighting, winter palette, lens characteristics, and atmosphere must remain consistent across all frames.",
    "realism_level": "Ultra-realistic, film-grade winter accuracy."
  }
}
{
  "version": "2.1",
  "type": "multi_frame_winter_cinematography",
  "identity": {
    "reference_face": "Use the reference photo’s face with 100% identity accuracy.",
    "consistency": "Same person across all frames; identical facial structure, skin texture, hairstyle and age where visible."
  },
  "style": {

    "cinematography": "Ultra-realistic winter cinematography with 85mm lens character.",
    "color_grade": "Subtle blue winter grading, cold tones, soft highlights.",
    "atmosphere": "Soft diffused winter light, fine suspended snowflakes, gentle cold haze."
  },
  "frames": [
    {
      "frame_id": "top_frame",
      "description": "Side-profile portrait of the person in a snowy forest.",
      "requirements": {
        "face_visibility": "Side profile fully visible.",
        "identity_match": "Perfect match to reference face.",
        "expression": "A warm, natural smile visible from the side profile.",
        "environment": {
          "location": "Snow-covered forest",
          "lighting": "Soft morning winter light shaping facial contours",
          "elements": [
            "Gently falling snow",
            "Visible cold breath",
            "Light winter haze"
          ]
        },
        "wardrobe": {
          "coat": "Dark winter coat",
          "scarf": "Dark or neutral-toned winter scarf"
        },
        "camera": {
          "lens": "85mm",
          "depth_of_field": "Shallow",
          "look": "Ultra-realistic winter cinematic look"
        }
      }
    },
    {
      "frame_id": "middle_frame",
      "description": "Back-turned close-up while walking through a narrow snowy forest path.",
      "requirements": {
        "face_visibility": "Face must not be visible at all; strictly back-turned.",
        "identity_cues": "Body shape, posture, and clothing must clearly indicate the same person.",
        "environment": {
          "location": "Narrow snow-covered forest path",
          "forbidden_elements": ["No torii gate"],
          "trees": "Tall bare trees bending slightly, forming a natural snowy corridor",
          "atmosphere": "Quiet, serene winter silence with falling snow"
        },
        "wardrobe": {
          "coat": "Same dark winter coat as top frame",
          "scarf": "Same scarf"
        },
        "camera": {
          "lens": "85mm",
          "shot_type": "Close-up from behind",
          "depth_of_field": "Soft background with shallow DOF"
        }
      }
    },
    {
      "frame_id": "bottom_frame",
      "description": "Extreme close-up looking upward with falling winter snow.",
      "requirements": {
        "face_visibility": "Extreme close-up, fully visible face.",
        "identity_match": "Exact match to reference face.",
        "expression": "A gentle, warm smile while looking upward.",
        "environment": {
          "elements": [
            "Snowflakes falling around but NOT touching the face",
            "Snow in foreground and background only",
            "No visible breath vapor or mouth steam",
            "Soft winter haze in the ambient environment"
          ]
        },
        "camera": {
          "lens": "85mm",
          "depth_of_field": "Very shallow",
          "detail": "High realism, crisp skin texture, selective-focus snowflakes"
        },
        "lighting": "Soft winter light with subtle blue reflections"
      }
    }
  ],
  "global_constraints": {
    "identity": "Reference face must be perfectly reproduced in all visible-face frames.",
    "continuity": "Lighting, winter palette, lens characteristics, and atmosphere must remain consistent across all frames.",
    "realism_level": "Ultra-realistic, film-grade winter accuracy."
  }
}

Overview

Ultra-Realistic Winter Cinematography Series is a free prompt on OpenRuna. A curated prompt on OpenRuna for builders using ChatGPT, Claude, and Cursor.

What this prompt does

"Ultra-Realistic Winter Cinematography Series" 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 "Ultra-Realistic Winter Cinematography Series" 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:

{
  "version": "2.1",
  "type": "multi_frame_winter_cinematography",
  "identity": {
    "reference_face": "Use the reference photo’s face with 100% identity accuracy.",
    "consistency": "Same person across all frames; identical facial structure, skin texture, hairstyle and age where visible."
  },
  "style": {
    "cinematography": "Ultra-realistic winter cinematography with 85mm lens character.",
    "color_grade": "Subtle blue winter grading, cold tones, soft highlights.",
    "atmosphere": "Soft diffused winter light, fine suspended snowflakes, gentle cold haze."
  },
  "frames": [
    {…

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 "Ultra-Realistic Winter Cinematography Series"?: 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.