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Prompt Lib

Curated AI prompts for stunning image and video generation. Updated daily from top creators.

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Nano Banana
Feb 23, 2026 β€’ YouMind

AI Anime Music Video Storyboard Prompt

A prompt used for creating storyboards (E-conte) from text storyboards (Ji-conte) for an AI anime music video using Nano Banana Pro. The process relies on a character sheet and external reference material for the prompt structure, with an added focus on maintaining character consistency.

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Text storyboard, refer to Kino's article +Ξ± Character consistency πŸ’‘

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Nano Banana
Feb 23, 2026 β€’ YouMind

Forensic Surrealist Photography Prompt for Liminal Breakroom Incident

A highly detailed, structured prompt for Nano Banana Pro designed to generate 'found footage' stills of a paranormal thermodynamic event in a liminal breakroom. The prompt acts as a 'Field Manual' specifying core parameters, camera system details (type, lens, quality, perspective, artifacts), lighting engine, and material shaders to achieve a forensic surrealist photography style.

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╔════════════════════════════════════════════════════════════════╗ β•‘ LIMINAL_BREAKROOM_INCIDENT - FIELD MANUAL β•‘ β•‘ Forensic Surrealist Photography β•‘ β•šβ•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β• β–  CORE PARAMETERS β”œβ”€ ROLE: Forensic Surrealist Photographer β”œβ”€ OBJECTIVE: Capture 'found footage' still of paranormal thermodynamic event └─ CONSTRAINT: Must feel like evidence β†’ prioritize texture & lighting physics over composition ═══════════════════════════════════════════════════════════════════ β–  CAMERA SYSTEM [SELECT ONE PER CATEGORY] β”‚ β”œβ”€ TYPE: β”‚ β”œβ”€β”€ Ceiling-mounted CCTV dome β”‚ β”œβ”€β”€ Wall-mounted bullet β”‚ β”œβ”€β”€ Body-worn (detached) β”‚ β”œβ”€β”€ Pinhole covert β”‚ └── 360-degree fisheye β”‚ β”œβ”€ LENS: β”‚ β”œβ”€β”€ Fisheye 12mm β”‚ β”œβ”€β”€ Narrow 50mm β”‚ β”œβ”€β”€ Varifocal stuck at 24mm β”‚ └── Pinhole β”‚ β”œβ”€ QUALITY: β”‚ β”œβ”€β”€ 4K upscale of analog tape β”‚ β”œβ”€β”€ 1080p DVR (blocky compression) β”‚ β”œβ”€β”€ 480p VHS rip β”‚ β”œβ”€β”€ 8mm film scan β”‚ └── 1280x1024 security DVR β”‚ β”œβ”€ PERSPECTIVE: β”‚ β”œβ”€β”€ High-angle 45Β° β”‚ β”œβ”€β”€ Eye-level (dutch angle) β”‚ β”œβ”€β”€ Corner 60Β° β”‚ β”œβ”€β”€ Low-angle floor β”‚ └── Over-shoulder of shadow β”‚ β”œβ”€ MANDATORY ARTIFACTS (Apply all): β”‚ β”œβ”€β”€ High ISO grain (6400-12800) β”‚ β”œβ”€β”€ Chromatic aberration (red/cyan split) β”‚ └── Motion blur on meal ONLY β”‚ └─ OPTIONAL ARTIFACTS (Select 3-5): β”œβ”€β”€ VHS tracking fuzz (5-15% bottom screen) β”œβ”€β”€ Interlacing comb lines β”œβ”€β”€ Lens dust spots (5-7 ghost orbs) β”œβ”€β”€ IR illumination halo β”œβ”€β”€ Dropped frames (ghost frames) β”œβ”€β”€ Timestamp burn-in (blinking) └── Camera ID overlay: 'CAM-04-BREAKROOM-E' ═══════════════════════════════════════════════════════════════════ β–  LIGHTING ENGINE β”‚ β”œβ”€ PRIMARY SOURCE [SELECT ONE]: β”‚ β”œβ”€β”€ Overhead fluorescent (4000K, green cast) β”‚ β”œβ”€β”€ Single bulb (2700K, pulsing) β”‚ β”œβ”€β”€ Emergency exit sign red β”‚ β”œβ”€β”€ Microwave clock LED β”‚ └── Streetlight orange β”‚ β”œβ”€ SECONDARY SOURCE (Mandatory): β”‚ └── Bioluminescence emitting FROM the meal β”‚ └─ SHADOW BEHAVIOR [SELECT ONE]: β”œβ”€β”€ Hard shadows (shape mismatch with objects) β”œβ”€β”€ Shadows point TOWARD meal (inverse light) β”œβ”€β”€ No shadows (void silhouette effect) β”œβ”€β”€ Multiple conflicting shadows └── Animating shadows (15fps ghost frames) ═══════════════════════════════════════════════════════════════════ β–  MATERIAL SHADERS β”‚ β”œβ”€ TABLE SURFACE: β”‚ β”œβ”€β”€ Faux-wood laminate (peeling edge) β”‚ β”œβ”€β”€ Stainless steel (acid-etched fingerprints) β”‚ β”œβ”€β”€ White plastic (circular burn marks) β”‚ └── Particle board (water-swollen) β”‚ β”œβ”€ FLOOR MATERIAL: β”‚ β”œβ”€β”€ Linoleum (wet reflection pool) β”‚ β”œβ”€β”€ Industrial carpet (stain actively spreading) β”‚ β”œβ”€β”€ Concrete (glowing mold in cracks) β”‚ └── Vinyl seams (liquid pooling between planks) β”‚ └─ ATMOSPHERIC VFX: β”œβ”€β”€ Dust motes frozen in meal's glow β”œβ”€β”€ Condensation droplets on lens β”œβ”€β”€ Defiant steam (coiling upward spiral) └── Su

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Nano Banana
Feb 23, 2026 β€’ YouMind

Future Self Visualization Prompt (4 Grids)

A prompt designed for Nano Banana Pro to visualize the user's appearance at different future points (1 day, 1 year, 10 years, 30 years) displayed in a 4-grid layout. This is used for self-reflection or a slightly scary look into the future.

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Show me 1 day later, 1 year later, 10 years later, and 30 years later in a 4-grid layout

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Nano Banana
Feb 23, 2026 β€’ YouMind

2x2 Grid Scene Progression

A simple text prompt for an image generation model, requesting a 2x2 grid layout that visualizes the chronological events leading up to a specific scene, broken down into 5 hours, 3 hours, 2 hours, and 1 hour prior.

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In a 2x2 grid, show the events leading up to this scene. Think 5 hours, 3 hours, 2 hours and 1 hour earlier.

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Nano Banana
Feb 23, 2026 β€’ YouMind

Film Negative and Thumbnail Sheet Generation Prompt

A complex, multi-step prompt sequence for Nano Banana Pro, combining a 7x6 grid division prompt with a prompt for creating old, disposable camera-style photos (emosnap). The goal is to simulate the process of developing film, including generating a thumbnail sheet, a negative film, and then a photo of high school students holding the negative.

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β‘ : No input image Create 42 scenes, dividing the screen horizontally 7x vertically 6, based on "A single everyday photo taken with a low-quality disposable camera. A clumsy photo taken by Japanese high school students." Display serial numbers from 1 in the bottom left of each scene. Each scene is separated by thin white borders. Image of a thumbnail sheet that comes when film is developed. Do not draw real company names or product names. ---------- β‘‘: Using β‘  as input image The input image is a thumbnail sheet that comes when film is developed. Create the undeveloped negative film from this thumbnail sheet. Place the completed negative film on a school desk and photograph it from a diagonal overhead angle. Foreground blur and background blur due to depth of field. Live-action. ---------- β‘’: Using β‘‘ as input image A single everyday photo taken with a low-quality disposable camera of "Japanese high school students goofing around while holding this negative film." A clumsy photo taken by Japanese high school students. Do not draw real company names or product names. ---------- β‘£: Using β‘’ as input image Include the input image at the beginning of "A single everyday photo taken with a low-quality disposable camera... (same as β‘  below)"

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Nano Banana
Feb 23, 2026 β€’ YouMind

Cinematic Storytelling Scene Generation Prompt

A versatile prompt template for Nano Banana Pro designed to generate a sequence of cinematic frames (establishing shot, mid-shot, close-up) for a storytelling scene, ensuring character consistency and applying a moody, Hollywood-grade aesthetic.

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Cinematic storytelling scene of {argument name="characters" default="characters"} in {argument name="setting" default="setting"}. Wide establishing shot + emotional mid-shot + intense detail close-up. Moody lighting, film-grain texture, dramatic contrast, narrative-driven framing, Hollywood-grade depth and atmosphere.

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Nano Banana
Feb 23, 2026 β€’ YouMind

Contextual Image Generation Prompt

A simple prompt asking the AI to generate the scene that occurred five minutes prior to the image shown in the tweet, implying a narrative context is needed to explain why the subject is upset.

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Show me 5 minutes earlier so I can see why he’s upset.

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Nano Banana
Feb 23, 2026 β€’ YouMind

Split-Screen Cinematic Time Travel Prompt

A detailed cinematic prompt template for Nano Banana Pro designed to create a photorealistic split-screen image showing the same person in two different historical eras, seamlessly blending the environments and ensuring face consistency based on a reference image.

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A realistic split-screen cinematic shot of {argument name="Scene" default="Scene"}, showing the same {argument name="Gender" default="Gender"} appearing in two different eras: {argument name="Era A" default="Era_A"} on the left and {argument name="Era B" default="Era_B"} on the right. If a reference image is uploaded, match her or his exact face, including facial features, hairstyle, hair accessories, skin tone, and body shape. Left side ({argument name="Era A" default="Era_A"}): The {argument name="Gender" default="Gender"} appears fully visible (face + upper body). She or his wears clothing, hairstyle, and accessories authentic to {argument name="Era A" default="Era_A"}, fitting the historical setting. Environment, architecture, materials, vehicles, props and lighting must all belong to {argument name="Era A" default="Era_A"}. Atmosphere feels nostalgic and historically accurate. Right side ({argument name="Era B" default="Era_B"}): The same {argument name="Gender" default="Gender"} (same age, same face, same body proportions) appears fully visible (face + upper body) in {argument name="Era B" default="Era_B"}. She or he wears contemporary or era-appropriate fashion from {argument name="Era B" default="Era_B"}, with matching modern props, technology, surroundings, and lighting. Center area: The two eras merge organically, with no hard dividing line. Architectural elements, clothing textures, and props subtly transition from old to new. The ο½›Gender} in each era may glance toward the other side, creating a sense of time-travel and self-encounter. Photorealistic, cinematic lighting, ultra-detailed textures, high realism, 8k quality. Aspect Ratio: {argument name="Aspect Ratio" default="Aspect_Ratio"} --- Scene: {argument name="example scene" default="NewYork street"} Gender:{argument name="example gender" default="Girl"} Era_A: {argument name="example era A" default="1930s Empire State Building"} Era_B: {argument name="example era B" default="Modern Times Square"} Aspect_Ratio: {argument name="example aspect ratio" default="4:7"}

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