Nano Banana Pro
Prompts

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Prompts

1
BY@Dan Reed
Feb 5, 2026

Hyper-Fidelity Mirror Selfie with Identity Locking

Hyper-Fidelity Mirror Selfie with Identity Locking

An extremely technical prompt for generating a hyper-realistic mirror selfie, simulating an iPhone 17 Pro capture. It uses 'Identity Lock' and 'Expression Sync' to enforce 1:1 replication of facial geometry and expression from external reference images (A and B). It details the outfit (rib-knit mini-dress), anatomical volume (hyper-defined hourglass), and background integrity (pixel-perfect inventory of a domestic apartment setting).

Prompt
(9:16). Portrait orientation. Raw high-fidelity photograph, iPhone 17 Pro simulation, 24mm wide-angle focal length, f/2.4 aperture for total structural depth, authentic digital grain, mirror-selfie perspective. [Subject & Identity Locking] Identity Lock: Absolute inheritance of all facial geometry, epidermal characteristics, ocular structure, and natural hair color/texture directly from Reference Image A. The AI must perform a 1:1 pixel-mapping of the subject's identity from Image A into the target scene. Bio-Fidelity: Epidermal physics featuring visible micro-pores, fine vellus hair along the jawline, and satin-finish hydration on the T-zone, maintaining the exact skin-tone profile inherited from Image A. Expression Sync: Expression Lock—replicate the mirror-selfie gaze through the lens, specific pouty lip tension, and soft tension of the facial muscles from Reference Image B. [Outfit & Physicality] (CASE B - Standard Fashion) Technical Description: High-tensile rib-knit mini-dress in deep chocolate brown with a mock-neck collar and short sleeves. Hemline at upper-thigh geometry. Textile Architecture: Visible vertical ribbing texture; material-to-skin tension showing realistic bunching at the waist. Paired with checkered-pattern comfort slides. Anatomical Volume: Hyper-defined S-curve silhouette; maximum anatomical emphasis on the waist-to-hip ratio and leg definition; apply the 20% over-description rule for "Hyper-defined hourglass geometry" to counteract model bias. Accessories: Transparent clear-frame optical glasses; long square-tip manicured nails; a small luxury monogram-texture leather handbag held in the left hand. Blue-cased smartphone held for the selfie. [Pose & Interaction] Geometry: Full-body standing mirror selfie pose. Right arm raised for the phone; left arm at the side holding the handbag. Subject is centered with a slight hip-pop to emphasize the silhouette. Articulation: Precise finger-joint articulation on the smartphone and the bag handle; realistic skeletal alignment of the shoulders and neck. [Environment & Lighting] Atmosphere: Casual domestic interior apartment setting; soft diffused 4000K neutral-warm overhead lighting. Background Integrity: Pixel-perfect inventory of wood-plank flooring; white interior doors (one featuring a Hello Kitty sticker); a kitchen breakfast bar with a dark wooden bar stool; a pink handbag hanging in the mid-ground; and miscellaneous household items on the counter. Shadow Ray-Tracing: Natural ambient occlusion in the garment folds; soft shadows cast by the subject onto the floor; realistic mirror-plane reflection with accurate depth and light-bounce from the background elements.

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Common Questions

Nano Banana Pro is Google's latest multimodal AI model featuring multimodal understanding (text, images, and video), high-quality generation from photorealistic to artistic styles, fast iteration with quick edits and variations, diverse styles from pixel art to oil paintings, precise control over composition and lighting, and complex multi-object, multi-character scene rendering.
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Simply copy the prompt and use it in YouMind with the 'Nano Banana Pro' image generation model according to the description. We are working on a tighter integration for one-click usage in the future.
It helps you consolidate your content creation and learning best practices into YouMind Shortcuts. This enables one-click generation based on your materials—like turning a YouTube video into a blog post or extracting quotes from an article.
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