Editorial Winter Poster–Style Multi-Panel Collage Generation
STRUCTURED{
"meta_protocols": {
"reference_adherence": {
"instruction": "Use the provided male face photo as a strict reference_image.",
"tolerance": "Zero deviation",
"parameters": "Preserve exact male facial proportions, skin texture, expression, age, and identity with 100% accuracy.",
"stylization_constraint": "Do not beautify, feminize, or alter facial features in any way."
},
"format_style": "Editorial winter poster–style multi-panel collage",
"aesthetic_quality": "Spontaneous iPhone photography (candid, cozy, realistic)",
"global_textures": "Soft snowfall, subtle analog grain, slight handheld imperfections"
},
"consistent_elements": {
"subject_wardrobe": {
"outerwear": "Black tailored wool overcoat",
"top": "Thick knit sweater (dark neutral tone)",
"bottom": "Classic fabric trousers",
"footwear": "Winter leather boots",
"style_notes": "Masculine, elegant, understated winter style"
},
"primary_device": {
"model": "iPhone 17 Pro Max",
"color": "Silver",
"usage": "Held by subject in relevant frames"
},
"color_palette": [
"Warm ambers",
"Charcoal blacks",
"Deep browns",
"Muted winter greys"
]
},
"layout_configuration": {
"panel_1_top_left": {
"scene_type": "Reflective shop-window shot on a winter street at dusk",
"lighting_and_atmosphere": "Street lamps, faint holiday lights, cold air condensation, warm highlights on coat fabric",
"subject_action": "Holding phone partially covering face",
"optical_effects": "Passing pedestrians as blurred silhouettes, layered reflections, natural glass distortion",
"mood": "Quiet, introspective, urban masculinity"
},
"panel_2_top_right": {
"scene_type": "Parisian café exterior portrait",
"location_detail": "Outdoor table at a Paris street café",
"camera_angle": "Close, slightly low angle for masculine presence",
"subject_pose": "Seated confidently, relaxed posture, one arm resting on the table",
"action": "Holding a whiskey glass mid-sip",
"wardrobe_visibility": "Black coat open, knit sweater and fabric trousers clearly visible",
"motion_dynamics": "Light snow falling, background pedestrians softly motion-blurred",
"lens_characteristics": "Natural handheld perspective with subtle depth compression"
},
"panel_3_bottom_right": {
"scene_type": "Intimate overhead selfie on a city sidewalk",
"lighting": "Warm street lighting contrasting cold night air",
"props": {
"held_item": "Takeaway coffee cup",
"accessories": "Wired earphones visible"
},
"texture_focus": "Detailed wool coat texture, knit sweater fibers, subtle skin grain",
"mood": "Lonely, reflective winter night energy"
}
},
"graphic_overlay": {
"element": "Minimal Spotify–style mini player",
"content": "Flying - Anathema",
"style": "Flat, clean UI, no shadows",
"position": "Floating subtly across the center of the collage"
}
}Overview
Editorial Winter Poster–Style Multi-Panel Collage Generation is a free prompt on OpenRuna. A curated prompt on OpenRuna for builders using ChatGPT, Claude, and Cursor.
What this prompt does
"Editorial Winter Poster–Style Multi-Panel Collage Generation" 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 "Editorial Winter Poster–Style Multi-Panel Collage Generation" 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:
{
"meta_protocols": {
"reference_adherence": {
"instruction": "Use the provided male face photo as a strict reference_image.",
"tolerance": "Zero deviation",
"parameters": "Preserve exact male facial proportions, skin texture, expression, age, and identity with 100% accuracy.",
"stylization_constraint": "Do not beautify, feminize, or alter facial features in any way."
},
"format_style": "Editorial winter poster–style multi-panel collage",
"aesthetic_quality": "Spontaneous iPhone photography (candid, cozy, realistic)",
"global_textures": "Soft snowf…
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 "Editorial Winter Poster–Style Multi-Panel Collage Generation"?
- 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.
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