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Sensual Close-up of Girl in Sailor Uniform with Drink Bottle

@underwoodxie96··0

This prompt generates a high-key, intimate close-up portrait of a young girl in a sailor uniform, playfully interacting with a sports drink bottle. The style is reminiscent of Japanese gravure photography.

Sensual Close-up of Girl in Sailor Uniform with Drink Bottle — image 1
Sensual Close-up of Girl in Sailor Uniform with Drink Bottle — image 2
Prompt
{ "subject": { "description": "{argument name=\"subject_description\" default=\"Young female in extreme close-up, side profile angled towards camera.\"}", "mirror_rules": "None", "age": "18-22", "expression": { "eyes": { "look": "Half-closed, heavy eyelids", "energy": "Sensual, focused", "direction": "Looking towards the bottle/downward" }, "mouth": { "position": "Open, tongue extended and pressing against the plastic bottle", "energy": "Provocative, playful" }, "overall": "Intimate, slightly flushed" }, "face": { "preserve_original": "Sharp jawline, small beauty mark under right eye", "makeup": "East Asian gravure style. Pale base, prominent pink blush high on cheeks, sharp winged eyeliner, defined lashes, highlighted aegyo sal." } }, "hair": { "color": "{argument name=\"hair_color\" default=\"Black\"}", "style": "Loose, wispy bangs framing the face", "effect": "Slightly disheveled, fine strands clinging to the cheek and neck, suggesting slight humidity." }, "body": { "frame": "Slender, petite", "waist": "Not visible", "chest": "Partial upper cleavage visible under tight top", "legs": "Not visible", "skin": { "visible_areas": "Face, neck, prominent collarbones, left hand, partial upper chest.", "tone": "Pale, fair with warm pink undertones.", "texture": "Smooth, soft, feels matte but slightly humid.", "lighting_effect": "Direct flash creates bright specular highlights on the nose tip, lips, and collarbones. High-key illumination with minimal shadows." } }, "pose": { "position": "Head tilted slightly up and right. Left hand gripping the bottle near her face. Right hand resting near the collar.", "base": "Out of frame", "overall": "Leaning in, dynamic tension between mouth and prop." }, "clothing": { "top": { "type": "{argument name=\"clothing_top_type\" default=\"Sailor-style school uniform (seifuku)\"}", "color": "White blouse, navy blue collar", "details": "White stripe on collar, blue ribbon tied at the front, fabric pulling slightly across the chest", "effect": "Fitted, slightly stretched" }, "bottom": { "type": "Not visible", "color": "None", "details": "None" } }, "accessories": { "headwear": "None", "jewelry": "None", "device": "None", "prop": "{argument name=\"prop_description\" default=\"620ml clear plastic sports drink bottle (Pocari Sweat style), blue label with white text, ribbed bottom, held near face.\"}" }, "photography": { "camera_style": "Commercial gravure portrait, high-key", "angle": "Slightly low angle, extreme close-up", "shot_type": "Macro face/prop shot", "aspect_ratio": "3:4", "texture": "Sharp on face and bottle, smooth skin rendering", "lighting": "Direct on-camera flash or ring light. Bright, flat frontal lighting washing out deep shadows.", "depth_of_field": "Shallow. Face and bottle front are in sharp focus, shoulder/background blurring out. Approx f/2.8." }, "background": { "setting": "Indoor, ambiguous", "wall_color": "{argument name=\"background_color\" default=\"Warm beige/peach\"}", "elements": [], "atmosphere": "Warm, isolated", "lighting": "Fall-off from the main flash, fading into warm tones." }, "the_vibe": { "energy": "Provocative, playful, high-contrast", "mood": "Intimate, humid", "aesthetic": "Japanese gravure, cosplay idol", "authenticity": "Slightly staged but tactile due to the tongue-on-plastic interaction", "intimacy": "Extremely close, breaking personal space", "story": "Taking a break, playful cooling down", "caption_energy": "Thirsty? 💧" }, "constraints": { "must_keep": [ "Tongue licking the plastic bottle", "Direct flash lighting effect", "Sailor uniform details", "Wispy hair stuck to neck" ], "avoid": [ "Full body shot", "Dark shadows", "Complex backgrounds", "Closed mouth" ] }, "negative_prompt": [ "dark lighting", "wide shot", "complex background", "dry skin", "matte flat lighting", "looking at camera" ] }

How to Use This Prompt

  1. Copy the full prompt text with the copy button above.
  2. Replace any [bracketed] placeholders with your own subject, scene, or details.
  3. Paste it into Gemini / Nano Banana Pro — or hit "Try this Prompt" above to generate here for free — then tweak the wording against the example images.

Style Notes

Photo
Asks the model for photorealistic output — natural lighting, believable skin and materials, camera-like depth of field — rather than illustration or 3D looks.
3D Render
CGI look — smooth surfaces, controlled global illumination, and depth that reads like a Blender/Cinema 4D render instead of a photograph.
Hero Portrait
A single dominant subject shot like a key visual — tight framing, strong eye contact or pose, background simplified so the character carries the image.
Social Media Post
Composition and aspect ratio tuned for feeds (Instagram, X, Xiaohongshu): bold focal subject, room for overlay text, colors that survive small screens.

FAQ

How do I use this prompt with Gemini (Nano Banana Pro)?

Copy the full prompt with the copy button above, paste it into Gemini or any Nano Banana Pro-powered tool, and compare your result with the example images on this page. You can also click "Try this Prompt" to generate directly on this site — free daily generations, no sign-up needed.

Can I customize "Sensual Close-up of Girl in Sailor Uniform with Drink Bottle"?

Yes. Anything in [brackets] is a placeholder meant to be replaced with your own subject or details, and you can freely adjust subject, lighting, or style keywords — small wording changes often produce noticeably different results.

Which AI models does this prompt work with?

It was originally shared for Google's Gemini image models (including Nano Banana Pro). Most text-to-image models will understand it too, though composition and text rendering quality vary by model.

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