Cafe Window Seat (close-up, tactile realism)
TEXT{
"category": "CAFE_WINDOW_SEAT_CLOSEUP",
"subject": {
"demographics": "Adult woman, 21-27, Turkish-looking.",
"hair": {
"color": "Dark brown",
"style": "Loose waves tucked behind one ear",
"texture": "Individual strands visible, slight frizz",
"movement": "A few strands fall forward naturally"
},
"face": {
"shape": "Soft oval",
"eyes": "Expressive, warm, natural wetline detail",
"makeup": "Natural 'clean' makeup, subtle liner, soft blush",
"skin_details": "Pores visible, natural sheen, no airbrush",
"micro_details": "Fine baby hairs near forehead"
},
"clothing": {
"top": "Casual knit or fitted tee (no text)",
"texture": "Visible knit weave, realistic folds"
},
"accessories": {
"jewelry": ["Small silver hoops"]
}
},
"pose": {
"type": "Candid portrait at a table",
"orientation": "Close-up/half-body",
"head_position": "Slight tilt",
"hands": "One hand near chin, fingers relaxed and anatomically correct",
"gaze": "Near-direct eye contact, soft smile",
"posture": "Relaxed shoulders leaning slightly forward"
},
"setting": {
"environment": "Cozy cafe by a window",
"background_elements": [
"Ceramic cup on table",
"Condensation on glass",
"Tiny crumbs on plate (subtle realism)",
"Background patrons blurred (no identifiable faces)"
],
"depth": "Shallow DOF with warm bokeh"
},
"camera": {
"shot_type": "Portrait",
"angle": "Slightly above eye level (casual handheld feel)",
"focal_length_equivalent": "26mm phone OR 50mm pro portrait",
"framing": "4:5, face and shoulders dominate frame",
"focus": "Eyes sharp, background softly blurred"
},
"lighting": {
"source": "Diffused window daylight + warm interior ambient",
"direction": "Soft side light shaping cheekbones",
"highlights": "Natural highlights on nose bridge and lips",
"shadows": "Gentle shadow under chin, realistic contrast",
"quality": "Soft, flattering, cozy"
},
"mood_and_expression": {
"tone": "Warm, approachable, intimate",
"expression": "Soft smile, lively eyes",
"atmosphere": "Tactile, everyday candid"
},
"style_and_realism": {
"style": "Photorealistic IG lifestyle",
"fidelity": "High detail (lashes, pores, hair strands)",
"imperfections": "Natural noise, slight imperfect WB allowed"
},
"technical_details": {
"aspect_ratio": "4:5",
"noise": "Mild phone-like grain in shadows",
"motion_blur": "None on face; minimal allowed in background"
},
"constraints": {
"adult_only": true,
"no_text": true,
"no_logos": true,
"no_watermarks": true
},
"negative_prompt": [
"over-smoothing", "plastic skin", "uncanny eyes",
"bad hands", "extra fingers",
"readable text", "logos", "watermark",
"cgi", "cartoon", "anime"
]
}Overview
Cafe Window Seat (close-up, tactile realism) is a free prompt on OpenRuna. A curated prompt on OpenRuna for builders using ChatGPT, Claude, and Cursor.
What this prompt does
"Cafe Window Seat (close-up, tactile realism)" 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 "Cafe Window Seat (close-up, tactile realism)" 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": "CAFE_WINDOW_SEAT_CLOSEUP",
"subject": {
"demographics": "Adult woman, 21-27, Turkish-looking.",
"hair": {
"color": "Dark brown",
"style": "Loose waves tucked behind one ear",
"texture": "Individual strands visible, slight frizz",
"movement": "A few strands fall forward naturally"
},
"face": {
"shape": "Soft oval",
"eyes": "Expressive, warm, natural wetline detail",
"makeup": "Natural 'clean' makeup, subtle liner, soft blush",
"skin_details": "Pores visible, natural sheen, no airbrush",
"micro_details": "Fi…
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 "Cafe Window Seat (close-up, tactile realism)"?
- 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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