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

Prompt

model at techno party in Berghain night club in Berlin. at night. model wears black yoga shorts, black sleeveless high neck top, and black combat boots. pigtails

Generate this with yourself in it โ†’

Photo pack ๐Ÿ‡ฉ๐Ÿ‡ช Berlin Nightlife
Model Asian woman (public model)
License CC BY 4.0 - Free to use with backlink to Photo AI
Taken
Saturday, 29 November 2025

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Related photosStunning woman in Seafolly one-piece swimsuit with plunging neckline, athletic physique glistening with ocean mist, beach photoshoot on Hawaiian shore, windswept hair, sultry gaze at camera, golden sunset lighting casting long shadows, close-up from waist up, sexy confident vibe, glossy magazine cover quality, hyper-realistic.{"image_generation_prompt":{"subject":{"description":"Young woman with a casual, 'off-duty woman' aesthetic.","hair":"Long, dark brown hair worn loose with a messy, textured, slightly unkempt wave. Center part.","face":{"expression":"Bored, indifferent, nonchalant, 'over it' attitude. Resting chin heavily in left palm.","features":"White complexion, full lips, defined eyebrows, soft blush on cheeks.","accessories":"Silver, rectangular wire-rimmed glasses (Y2K \/ 'office siren' style)."}},"apparel":{"top":"Tight-fitting, ribbed beige or taupe tank top\/camisole with thin straps.","bottoms":"Baggy, grey washed denim jeans or heavy sweatpants featuring a large distressed rip over the right knee.","style":"Casual streetwear, lazy-day chic, Gen Z urban fashion."},"pose_and_action":{"body_position":"Sitting casually on a concrete street curb. Leaning forward slightly with elbows on knees.","hand_gesture":"Right hand is extended forward holding a smartphone directly towards the viewer's POV.","composition_element":"The smartphone screen is visible and in focus, displaying the camera app viewfinder which shows a live image of the subject's face (picture-in-picture effect).","interaction":"Breaking the fourth wall, meta-photography concept."},"environment":{"setting":"Urban city sidewalk.","background":"Textured grey stone building facade, concrete pavement, metal grate or doorway visible in the distance.","ground":"Asphalt road meeting a concrete curb."},"lighting_and_atmosphere":{"lighting_type":"Natural daylight, soft overcast sky, diffuse lighting with no harsh shadows.","mood":"Candid, effortless, moody, bored, urban slice-of-life.","color_palette":"Muted neutrals, greys, beiges, soft skin tones."},"camera_and_technical":{"perspective":"High-angle POV (looking down at the subject sitting on the curb) or eye-level relative to the standing photographer.","focus":"Sharp focus on the subject's face and the phone screen, with slight depth of field blurring the stone wall background.","style":"Iphone photography aesthetic, snapshot style, high resolution.","quality_keywords":["Ultra Photorealistic","8k resolution","highly detailed texture","skin texture realism","natural lighting","candid photography","Fujifilm simulation"]}}}system_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 (3โ€“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 (1โ€“4 terms). * **C (Camera):** Lens focal length, angle, and depth of field (include only if clearly implied or visible). * **P (Palette):** Dominant chromatic scheme (2โ€“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



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