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_name : Cinematic_lakeside_portrait_with_book_and_rose , Version : 1.0 , Description

@XSydneyFan··39

_name": "cinematic_lakeside_portrait_with_book_and_rose", "version": "1.0", "description": "Ultra-realistic cinematic portrait of a young woman sitting on a metal folding chair partially submerged in a calm lake, hold...

_name : Cinematic_lakeside_portrait_with_book_and_rose , Version : 1.0 , Description  — image 1
_name : Cinematic_lakeside_portrait_with_book_and_rose , Version : 1.0 , Description  — image 2
Prompt
_name": "cinematic_lakeside_portrait_with_book_and_rose", "version": "1.0", "description": "Ultra-realistic cinematic portrait of a young woman sitting on a metal folding chair partially submerged in a calm lake, holding a red rose and an open book, surrounded by misty mountains at sunrise.", "scene": { "environment": "serene mountain lake", "location_type": "outdoor natural landscape", "time_of_day": "early morning", "season": "late spring", "weather": "light mist and calm atmosphere", "water_condition": "still reflective water with gentle ripples", "background": { "mist": "soft floating fog across the lake surface", "mountains": "layered forest-covered hills fading into atmospheric haze", "depth": "strong depth separation with creamy bokeh" } }, "subject": { "gender": "female", "age_range": "mid 20s", "ethnicity": "unspecified", "expression": "warm natural smile", "pose": { "position": "seated on folding chair", "legs": "crossed at ankles, feet submerged in water", "hands": "holding a single red rose while resting on an open book", "body_orientation": "slightly angled toward camera" }, "hair": { "color": "dark brown", "style": "half-up messy bun with loose flowing strands", "texture": "soft wavy" }, "skin": { "appearance": "natural healthy skin", "detail": "highly detailed pores and realistic texture" } }, "wardrobe": { "outfit": "dark emerald green one-piece swimsuit", "material": "ribbed textured fabric", "fit": "elegant and minimalistic", "style": "natural outdoor fashion photography" }, "props": { "book": { "type": "hardcover novel", "state": "open on lap", "symbolism": "peaceful reading moment" }, "rose": { "type": "single red rose", "condition": "fresh bloom", "placement": "held gently in hand" }, "chair": { "type": "weathered metal folding chair", "placement": "standing in shallow water" } }, "composition": { "framing": "full body portrait", "camera_angle": "eye level", "subject_position": "centered", "aspect_ratio": "2:3 portrait", "rule_of_thirds": true, "negative_space": "soft misty landscape surrounding subject" }, "lighting": { "type": "natural sunrise light", "direction": "soft frontal-side lighting", "quality": "diffused through morning mist", "mood": "peaceful, romantic, dreamy", "highlights": "gentle glow on face and shoulders", "shadow_style": "soft low-contrast shadows" }, "camera": { "camera_type": "full-frame mirrorless", "lens": "85mm prime lens", "aperture": "f/1.8", "shutter_speed": "1/500s", "iso": 100, "focus": "sharp focus on subject's eyes", "depth_of_field": "shallow", "bokeh": "creamy cinematic background blur" }, "color_palette": { "primary": [ "forest green", "soft beige", "mist gray" ], "accent": [ "deep red rose" ], "grading": "warm cinematic film tones" }, "style": { "photography_type": "fine art portrait photography", "realism": "photorealistic", "quality": "ultra detailed", "influences": [ "cinematic photography", "editorial fashion portrait", "nature lifestyle photography" ] }, "render_settings": { "resolution": "8k", "detail_level": "extreme", "dynamic_range": "high", "sharpness": "subject only", "noise": "minimal", "reflection_quality": "high", "water_simulation": "realistic" }, "mood_keywords": [ "peaceful", "romantic", "dreamy", "contemplative", "elegant", "serene", "natural beauty", "morning tranquility" ], "negative_prompt": [ "low resolution", "blurry face", "distorted anatomy", "extra fingers", "extra limbs", "deformed hands",

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.
Poster
Single-image layout designed to be read at a glance: dominant visual, title-friendly composition, high contrast for print or thumbnail.
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.
Fashion Look
Editorial fashion styling: garment detail and fabric texture take priority, with model poses and lighting borrowed from magazine shoots.
Cinematic
Film-style rendering — widescreen framing, dramatic lighting contrast, graded colors (often teal-orange), and a sense of narrative in the scene.
Minimalist
Few elements, generous negative space, restrained palette — the model is told to leave things out, which makes composition errors much less likely.
Luxury
Premium cues: rich materials (marble, silk, brushed metal), subdued gold/black palettes, and restrained, spacious composition.

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 "_name : Cinematic_lakeside_portrait_with_book_and_rose , Version : 1.0 , Description "?

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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