Editorial Winter Poster–Style Multi-Panel Collage Generation
{ "meta_protocols": { "reference_adherence": { "instruction": "Use the provided male face photo as a strict reference_image.", "tolerance":…
Prompt
{
"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"
}
}How to use this prompt
- 1
Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.
- 2
Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.
- 3
Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.
Techniques in this prompt
Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.
Learn this techniqueRecommended models
Build on this prompt
Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.
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