Bookstore Aisle (artsy, quiet luxury)
STRUCTURED{
"category": "BOOKSTORE_AISLE_ARTSY",
"identity_lock": {
"enabled": true,
"priority": "ABSOLUTE_MAX",
"instruction": "Preserve the exact identity from the reference image (face geometry, features, skin tone, marks). Adult 21+ only. No beautification or identity changes."
},
"subject": {
"demographics": "Adult woman, 21-29, Turkish-looking (must match reference).",
"hair": {
"color": "Match reference exactly.",
"style": "Loose waves tucked behind one ear",
"texture": "Real strands; slight frizz; flyaways visible",
"movement": "Hair rests naturally on shoulders"
},
"face": {
"eyes": "Exact reference eyes; thoughtful gaze; natural catchlights",
"skin_details": "Pores visible, realistic tone variation",
"micro_details": "Preserve all reference marks precisely"
},
"clothing": {
"outfit": "Minimal black coat or cardigan over a neutral top (no logos/text).",
"fabric": "Wool/knit texture visible, slight wrinkles at elbows"
},
"accessories": {
"jewelry": ["Small silver hoops"],
"props": ["One hardcover book with no readable title (blur/spine turned away)"]
}
},
"pose": {
"type": "Candid browsing",
"orientation": "Half-body",
"head_position": "Chin slightly down, eyes up toward camera",
"hands": "One hand holding a book near chest; other hand touching a shelf edge (hands correct)",
"gaze": "Near-direct eye contact, calm and confident",
"expression": "Soft neutral with micro-smile"
},
"setting": {
"environment": "Bookstore aisle",
"background_elements": [
"Shelves of books with spines turned away or blurred (NO readable text)",
"Warm indoor lighting",
"Soft depth layers down the aisle"
],
"depth": "Shallow DOF: face sharp, shelves softly blurred"
},
"camera": {
"shot_type": "Half-body portrait",
"angle": "Eye level or slightly above",
"focal_length_equivalent": "35-50mm pro OR 26mm phone",
"framing": "4:5, asymmetrical with leading lines from shelves",
"focus": "Eyes sharp, hands reasonably sharp, background soft"
},
"lighting": {
"source": "Warm overhead bookstore lights + soft fill",
"direction": "Gentle top/side",
"highlights": "Soft highlights on eyes and cheekbones",
"shadows": "Subtle under-chin shadow, realistic contrast"
},
"mood_and_expression": {
"tone": "Artsy, calm, 'quiet luxury'",
"atmosphere": "Cozy and intimate, candid"
},
"style_and_realism": {
"style": "Photoreal lifestyle/editorial",
"fidelity": "High detail, no airbrushing"
},
"colors_and_tone": {
"palette": "Warm browns + neutral blacks + creamy highlights",
"white_balance": "Warm indoor",
"contrast": "Medium"
},
"technical_details": {
"aspect_ratio": "4:5",
"resolution": "High",
"noise": "Mild indoor grain",
"mode_variants": {
"amateur": "Slightly crooked handheld framing, mild noise, imperfect WB",
"pro": "Cleaner exposure, controlled highlights, crisp micro-contrast"
}
},
"constraints": {
"adult_only": true,
"single_subject_only": true,
"no_text": true,
"no_logos": true,
"no_watermarks": true,
"no_readable_book_titles": true
},
"negative_prompt": [
"readable text", "logos", "watermark",
"identity drift", "face morphing",
"plastic skin", "over-smoothing",
"extra fingers", "warped hands",
"cgi", "cartoon", "anime"
]
}Overview
Bookstore Aisle (artsy, quiet luxury) is a free prompt on OpenRuna. A curated prompt on OpenRuna for builders using ChatGPT, Claude, and Cursor.
What this prompt does
"Bookstore Aisle (artsy, quiet luxury)" 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 "Bookstore Aisle (artsy, quiet luxury)" 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": "BOOKSTORE_AISLE_ARTSY",
"identity_lock": {
"enabled": true,
"priority": "ABSOLUTE_MAX",
"instruction": "Preserve the exact identity from the reference image (face geometry, features, skin tone, marks). Adult 21+ only. No beautification or identity changes."
},
"subject": {
"demographics": "Adult woman, 21-29, Turkish-looking (must match reference).",
"hair": {
"color": "Match reference exactly.",
"style": "Loose waves tucked behind one ear",
"texture": "Real strands; slight frizz; flyaways visible",
"movement": "Hair rests natu…
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 "Bookstore Aisle (artsy, quiet luxury)"?
- 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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