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Pricing
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Community Ideas Billing Log in Take photos like these
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image/svg+xml

Prompt

model in striped Breton shirt, high-waisted jeans, ballet flats, beret, crossbody bag sitting at sidewalk café table with croissant and coffee, charming Montmartre street scene, cobblestone streets, vintage café chairs, warm morning light, authentic Parisian café culture

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Photo pack 🗼 Paris Travel Photos
Model Black woman (public model)
License CC BY 4.0 - Free to use with backlink to Photo AI
Taken
Monday, 22 December 2025

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Related photosman in  casual shirt, jeans, sneakers, messenger bag at Père Lachaise Cemetery, historic graves and monuments, peaceful cemetery paths, cultural pilgrimage site, respectful tourist moment, historical significanceman in  preppy sweater, chinos, boat shoes, watch at Sorbonne University courtyard, academic institution, historic university buildings, scholarly atmosphere, intellectual Paris, classical education settingman in  band tee, leather jacket, jeans, boots in Saint-Germain-des-Prés jazz club district, artistic nightlife scene, vintage music venue atmosphere, creative cultural quarter, moody evening lighting, artistic Paris nightlifesystem_prompt: | **Role:** You are the **Universal Prompt Optimization Engine. **Goal:** Synthesize Text, Image, or Hybrid inputs into a single-line, high-fidelity generation prompt under **240 characters**. **Core Directives:** 1. **Output Isolation:** Return **ONLY** the formatted prompt string. Do not include reasoning, introductions, or labels outside the tag structure. 2. **Constraints:** Absolute maximum length is **250 characters**. Optimization target is **< 240 characters**. 3. **Telegraphic Syntax:** Remove articles (a/an/the) and non-essential prepositions. Use concise sentence fragments to maximize information density. **Merge Logic (Multimodal Hierarchy):** * **Text Only:** Derive all fields strictly from the text. **Zero Hallucination:** Do not invent technical specs (e.g., lens type) unless implied by the requested style. * **Image Only:** Analyze the image to extract Subject, Lighting (Kelvin), Palette, and Style. * **Hybrid (Text + Image):** * **Text** is the Authority on **Subject (`S`)** and specific **Modifiers**. * **Image** is the Authority on **Composition (`C`)**, **Lighting (`L`)**, **Palette (`P`)**, and **Style (`X`)**. * *Override Rule:* If the text explicitly describes lighting or colors, the text description takes precedence over the image analysis. **Output Schema (Strict Tag Order):** Construct the string using the specific tags below in the exact order shown. Use `/` to separate terms within a tag and spaces to separate tags. `S:[value] L:[value] M:[value] C:[value] P:[value] X:[value]` * **S (Subject):** Primary Action/Subject + key visual modifiers (3–8 terms). * **L (Lighting):** Type + **Kelvin Temp**. * *Standards:* Unknown=`5600K`. Warm=`3200K`. Daylight/Cool=`6500K`. Neon/Night=`7500K amb/3200K signs`. * **M (Materials):** Dominant surfaces and textures (1–4 terms). * **C (Camera):** Lens focal length, angle, and depth of field (include only if clearly implied or visible). * **P (Palette):** Dominant chromatic scheme (2–5 terms). * **X (Style/Artifacts):** Artistic medium or digital characteristics. * *Triggers:* If input implies "glitch/retro/low-fi/jpeg/screen", append: `jpeg blocks/8x8/dither/aliasing/banding`. **Trimming Protocol (If > 240 chars):** Remove data in the following priority order until the limit is met: 1. `C` (Camera tags) 2. Secondary `P` (Palette colors) 3. Secondary `M` (Materials) 4. Secondary `L` (Light sources) 5. Extra `X` (Style adjectives) *CRITICAL: NEVER DROP `S` (Subject) or Primary `L` (Kelvin).* **Examples:** * *Input (Text):* "A cyberpunk city at night with neon lights and rain, looking like an old jpeg." * *Output:* S:cyberpunk city/rain/neon L:7500K amb/3200K signs M:wet asphalt C:24mm/high angle P:cyan/magenta/black X:jpeg blocks/8x8/banding * *Input (Image: Misty green forest, soft light):* * *Output:* S:ancient forest/mist L:6500K diffused M:moss/ferns/pine C:50mm/shallow DOF P:desat green/slate X:film grain/haze * *Input (Text: "A red sports car", Image: Black and white noir photo of a street):* * *Output:* S:sports car L:hard/directional 4500K M:metal/chrome/wet street C:35mm/low angle P:red/grayscale/black X:film noir/grain{"subject": {"description": "Young man, East Asian, late teens to early 20s. Fair skin tone. He is leaning forward, resting his chin in his right palm in a relaxed, confident pose.", "expression": "Relaxed, warm smile with a direct gaze at the viewer. The expression is contemplative and serene.", "pose": "Seated, head propped on hand, other hand holding a mug handle."}, "clothing": {"top": "Oversized, chunky cable-knit sweater in a creamy white or ivory color. The fabric appears thick, soft, and textured."}, "hair": {"color": "Dark brown or black.", "style": "Short length, tousled textured crop. Short sides with fringe across the forehead, framing the face naturally."}, "face": {"makeup": "Clean-shaven with light stubble. Natural grooming."}, "accessories": {"items": "A simple white ceramic mug containing a hot beverage with a frothy top (latte or cappuccino)."}, "environment": {"setting": "Inside a cozy café, seated immediately next to a large glass window.", "details": "Raindrops are heavily beaded on the window pane. Through the glass, a blurred urban street scene is visible (rainy gray tones). Behind the subject, the café interior features warm wood paneling and framed posters or art.", "weather": "Rainy, overcast day."}, "lighting": {"source": "Natural, diffused window light coming from the left side of the frame.", "quality": "Soft and flattering, creating gentle highlights on the face and hair while casting subtle shadows on the right side.", "tone": "Warm and slightly nostalgic, despite the cool rainy exterior."}, "camera": {"shot_type": "Medium close-up (head and shoulders).", "focus": "Sharp focus on the subject's eyes and face. Shallow depth of field (bokeh) blurs the background interior and the rainy street outside.", "perspective": "Eye-level, intimate."}, "style": {"aesthetic": "Film photography look (analog style), slightly grainy texture, warm vintage color grading.", "mood": "Cozy, intimate, melancholic but comforting, 'hygge', cinematic slice-of-life."}}{"task": "create_realistic_portrait", "face": {"identical_to_reference": true, "no_editing": true}, "environment": {"setting": "bright modern living room", "surface": "soft white rug", "lighting": "natural daylight"}, "pose": {"position": "kneeling on rug", "hips_orientation": "slightly turned to the side", "gaze": "over shoulder at camera", "expression": "confident, relaxed", "hands": "resting on carpet, fingers relaxed", "posture": "strong and poised"}, "hair": {"color": "dark brown", "length": "short, textured crop", "style": "naturally tousled, with volume"}, "makeup": {"style": "clean and groomed", "details": {"skin": "healthy glow", "eyebrows": "neatly groomed", "contouring": "subtle jawline", "facial_hair": "light stubble", "highlighter": "subtle, catches daylight"}}, "outfit": {"type": "long-sleeved fitted shirt", "color": "Deep burgundy and crimson ombré", "fit": "tight, gathered along sides", "details": {"cutout_back": true, "adjustable_tie_details": true, "fabric_behavior": "realistic folds and tension lines", "color_variation": "Gradual blend from deep wine red at center to lighter crimson at edges, creating dimensional color effect"}}}



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