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Project Title Mirror Selfie Bedroom Perspective Format

@XSydneyFan··31

{ "project": { "title": "Mirror Selfie Bedroom Perspective", "format": { "aspect_ratio": "9:16", "orientation": "vertical", "resolution": "2160x3840", "style": "ultra realistic sma

Project Title Mirror Selfie Bedroom Perspective Format — image 1
Project Title Mirror Selfie Bedroom Perspective Format — image 2
Prompt
{ "project": { "title": "Mirror Selfie Bedroom Perspective", "format": { "aspect_ratio": "9:16", "orientation": "vertical", "resolution": "2160x3840", "style": "ultra realistic smartphone photography", "camera_type": "front-facing smartphone camera", "lens_effect": "wide-angle perspective distortion", "focus_style": "sharp foreground feet with soft depth toward background" } }, "scene": { "environment": "small dimly lit bedroom", "lighting": { "primary": "warm bedside lamp glow", "secondary": "soft ambient room shadows", "mood": "cozy intimate nighttime atmosphere", "contrast": "moderate cinematic contrast", "color_temperature": "warm beige and soft gray tones" }, "background": { "wall_color": "beige", "headboard": { "material": "fabric", "color": "gray", "style": "modern padded headboard" }, "nightstand": { "position": "right side of bed", "material": "light wood", "objects": [ { "type": "lamp", "light_state": "on", "shade_color": "cream" } ] }, "bed": { "bedsheets": "slightly wrinkled white sheets", "blanket": "soft neutral gray blanket", "texture": "realistic fabric folds" } } }, "subject": { "gender": "female", "age_range": "young adult", "body_position": { "pose": "resting full body on bed", "support": "leaning on one elbow", "hand_action": "palm squeezing the bedsheets naturally", "torso_angle": "slightly twisted toward mirror", "head_position": "angled slightly downward toward phone" }, "legs": { "position": "raised upward toward camera", "spacing": "spread apart naturally", "perspective": "close to lens creating exaggerated foreground effect", "knees": "slightly bent forward", "feet": { "visibility": "prominent foreground focus", "detail_level": "high texture realism" } }, "facial_features": { "makeup": { "eyeliner": "bold winged eyeliner", "lipstick": "deep matte red lipstick", "skin_finish": "soft realistic skin texture" }, "expression": "confident relaxed selfie expression" }, "hair": { "style": "slightly messy long dark hair", "texture": "soft natural shine" } }, "outfit": { "top": { "type": "black crop top", "fit": "fitted casual style", "fabric": "cotton blend" }, "bottom": { "type": "red panties", "style": "simple matching underwear", "fabric": "soft stretch material" } }, "props": { "smartphone": { "color": "black", "position": "held in front of face", "coverage": "covering middle part of face", "camera_visibility": "mirror selfie angle", "reflection_detail": "subtle realistic reflections" } }, "camera": { "shot_type": "mirror selfie", "framing": "full body vertical composition", "angle": "low perspective from feet toward upper body", "depth_of_field": "shallow cinematic depth", "focus_priority": [ "feet foreground", "legs perspective", "phone reflection", "ambient room lighting" ], "image_quality": { "detail": "ultra detailed", "noise": "minimal low-light grain", "skin_texture": "natural realistic texture", "fabric_texture": "high detail cloth realism" } }, "style_keywords": [ "realistic bedroom selfie", "cinematic lighting", "wide angle perspective", "smartphone photography aesthetic", "warm dim bedroom", "casual intimate atmosphere", "realistic shadows", "soft ambient glow", "high detail realism",

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

Poster
Single-image layout designed to be read at a glance: dominant visual, title-friendly composition, high contrast for print or thumbnail.
Photo
Asks the model for photorealistic output — natural lighting, believable skin and materials, camera-like depth of field — rather than illustration or 3D looks.
Typography
Text is part of the artwork. Modern models like Nano Banana Pro can render legible styled lettering, but keep the exact wording short and quoted in the prompt.
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.
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.
Architecture
Buildings and structures with believable perspective and materials — wide lenses, strong leading lines, attention to light on facades.
Low Key
Predominantly dark frame with selective highlights — moody, dramatic, and very sensitive to where the light source is placed in the prompt.
Portrait Orientation
Vertical aspect ratio (e.g. 3:4, 9:16) — the native format for phone screens, Stories, and app store screenshots.

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 "Project Title Mirror Selfie Bedroom Perspective Format"?

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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