OpenRuna
Sign in

berre

STRUCTURED
Variables detected: ${face_identity:uploaded reference image never change face and hair}${subject1_type:young woman}${subject2_type:Lionel Messi}— replace before using.
Prompt2717 chars · 280 words
{
  "reference": {
    "face_identity": "${face_identity:uploaded reference image never change face and hair}",
    "identity_lock": true,
    "face_preservation": "100% identical facial structure, proportions, skin texture, eye shape, lips, nose, brows, moles, and natural expression"
  },
  "subjects": [
    {
      "type": "${subject1_type:young woman}",
      "role": "foreground subject",
      "expression": "soft confident smile",
      "gaze": "looking directly at the camera",
      "pose": {
        "position": "standing very close to the male subject",
        "interaction": "leaning slightly toward him in a casual selfie pose"
      },
      "hair": {
        "color": "dark brown",
        "style": "sleek high ponytail"
      },
      "makeup": {
        "style": "natural glam",
        "details": [
          "even glowing skin",
          "subtle contour",
          "soft blush",
          "defined brows",
          "natural pink lips"
        ]
      },
      "outfit": {
        "clothing": "black fitted short-sleeve top",
        "style": "sporty casual"
      }
    },
    {
      "type": "${subject2_type:Lionel Messi}",
      "role": "secondary subject",
      "expression": "relaxed smile",
      "gaze": "looking at the camera",
      "features": {
        "beard": "short, well-groomed full beard"
      },
      "hair": {
        "color": "brown",
        "style": "short, modern styled, slightly messy on top"
      },
      "outfit": {
        "clothing": "Inter Miami pink home football jersey",
        "details": [
          "Inter Miami heron logo visible on chest",
          "adidas logo visible",
          "sponsor logo visible",
          "athletic fit"
        ]
      }
    }
  ],
  "environment": {
    "location": "football stadium",
    "background_elements": [
      "large cheering crowd",
      "stadium seating filled with fans",
      "players and staff visible in the distance",
      "night sky with stadium floodlights"
    ]
  },
  "lighting": {
    "type": "stadium lighting",
    "characteristics": [
      "bright overhead lights",
      "even illumination on faces",
      "slight highlights on skin",
      "realistic night-time contrast"
    ]
  },
  "photography_style": {
    "style": "real-life selfie photography",
    "camera_look": "smartphone camera",
    "depth_of_field": "moderate depth of field with slightly blurred crowd",
    "mood": "excited, celebratory, candid"
  },
  "render_quality": {
    "realism": "ultra-photorealistic",
    "detail_level": "high",
    "Aspect Ratio": "4:5",
    "skin_texture": "natural and realistic",
    "resolution": "high resolution",
    "color_grading": "true-to-life colors with stadium vibrancy"
  }
}

Overview

berre is a free prompt on OpenRuna. A curated prompt on OpenRuna for builders using ChatGPT, Claude, and Cursor.

What this prompt does

"berre" 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 "berre" 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:

{
  "reference": {
    "face_identity": "${face_identity:uploaded reference image never change face and hair}",
    "identity_lock": true,
    "face_preservation": "100% identical facial structure, proportions, skin texture, eye shape, lips, nose, brows, moles, and natural expression"
  },
  "subjects": [
    {
      "type": "${subject1_type:young woman}",
      "role": "foreground subject",
      "expression": "soft confident smile",
      "gaze": "looking directly at the camera",
      "pose": {
        "position": "standing very close to the male subject",
        "interaction": "leaning sl…

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 "berre"?
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