Prompt Lib

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

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Layered Diorama of Religious Architecture Evolution - 1
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Nano Banana
Mar 1, 2026 X

Layered Diorama of Religious Architecture Evolution

A concise prompt for generating a layered diorama illustrating the evolution of religious architecture across different historical eras, specifying the arrangement of architectural styles from 5000 BC to 2025 AD, complete with era-coded tabs and relevant details like stained glass.

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Layered Diorama: Evolution of Religious Architecture Layers: Front ({argument name="era 1" default="5000 BC Architecture"}), middle 1 ({argument name="era 2" default="1200s Architecture"}), middle 2 ({argument name="era 3" default="1800s architecture"}) rear (2025 Architecture). Details: Polished stone base with era-coded tabs (with appropriate materials and elements for each era). Details include stained glass windows, flying buttresses, and other era relevant elements. All years should be visible

LEGO History Retelling Template - 1
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Nano Banana
Mar 1, 2026 X

LEGO History Retelling Template

A structured prompt template for generating images that retell history using LEGO-style plastic construction blocks. It defines a workflow for creating a macro toy photograph of a minifigure version of an inventor ({argument name="inventor" default="[INSERT INVENTOR]"}) next to their greatest invention.

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<instructions> Retelling history through plastic construction blocks. Input Variable: {argument name="inventor" default="[INSERT INVENTOR]"} Workflow: 1. Medium Shift: The subject and their laboratory are constructed entirely of high-gloss plastic interlocking bricks (LEGO-style). 2. Context: A "Master Builder" set depicting a famous laboratory relevant to the inventor. 3. Action: The minifigure version of [INSERT INVENTOR] is holding a tiny plastic tool, standing next to a brick-built version of his greatest invention, building, or lab environment. Style: Macro Toy Photography (Tilt-Shift). </instructions>

Linguistic Evolution Tree Infographic Generation - 1
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Nano Banana
Mar 1, 2026 X

Linguistic Evolution Tree Infographic Generation

A structured instruction for an LLM/image model to generate a vertical tree structure infographic illustrating the evolution of a specified language (defaulting to English). It requires analyzing the language family, writing system, key texts, and cultural spread, visualized with miniature scribes, texts, and maps, presented in an ancient library meets modern infographic aesthetic.

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<instruction>Input: language or linguistic concept ({argument name="language name" default="language name"}, writing system, or phrase). Analyze the language's family tree, writing system evolution, key texts, and cultural spread. Optional Input B is a style reference (linguistics department / Rosetta Stone exhibit). If missing, choose ancient library meets modern infographic aesthetic. Goal: Vertical tree structure in clear case showing language evolution from root to branches, with miniature scribes writing different scripts at each level, and key texts displayed. Rules: - Tree structure showing language family (Proto-Indo-European → Latin → Romance languages) - 8-15 scribe figurines at different branches writing in period scripts - Include miniature versions of key texts (ancient tablets, scrolls, books) - Show writing system evolution visually up the tree - Add mini maps showing geographic spread - Materials: aged parchment, clay tablets, modern paper progressing upward - Label with language name, family, speakers, writing system(s) Output: ONE image, 4:5 vertical format optimized </instruction>

Literary Curator and Typewriter Sculptor Prompt - 1
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Nano Banana
Mar 1, 2026 X

Literary Curator and Typewriter Sculptor Prompt

A complex, multi-phase prompt designed for an LLM (Nano Banana Pro) to act as a Literary Curator. It analyzes a poet's style, selects four contemporary poets with parallel sensibilities, and then defines a visual execution goal: a 2x2 grid of 'Typewriter Output as 3D Landscapes' where typed text physically rises from the page, forming topographical landscapes based on the poet's work and era.

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Role: Literary Curator & Typewriter Sculptor Input: {argument name="input" default="[Poet or Poem, e.g., T.S. Eliot, Pablo Neruda]"} Phase 1: Poetic Voice Analysis Identify the poet's signature rhythm, recurring imagery, and emotional core Select 4 contemporary or lesser-known poets with parallel sensibilities Extract 5-8 physical objects mentioned repeatedly in their work Phase 2: Visual Execution Goal: 2x2 Grid of "Typewriter Output as 3D Landscapes Rules per Panel: The Base: A vintage typewriter (different model per poet's era) The Paper: A single sheet of paper loaded in the roller The Transformation: The typed text physically rises from the page, forming a 3D topographical landscape The Words: Key lines from the poem carved into the terrain like engraved stone The Symbols: Miniature objects from the poem placed in the landscape (tiny boat, rose, clock, door) The Poet: Microscopic figurine of the poet wandering through their own words The Mood: Lighting matches emotional tone (fog for melancholy, harsh light for anger, soft gold for longing) The Metadata: Brass typewriter key showing "Poet | Collection | Year" **background: poet and poet era relevant items in the background. Output: 2x2 Grid, Macro Photography, shallow depth of field

LLM prompt for generating a detailed travel itinerary for a trip to Japan - 1
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Nano Banana
Mar 1, 2026 X

LLM prompt for generating a detailed travel itinerary for a trip to Japan

A detailed LLM prompt designed to generate a comprehensive 7-day travel itinerary for a trip to Japan, including specific cities, activities, and logistical details. This prompt is used to compare the performance of different language models like ChatGPT and Nano banana pro.

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I am planning a 7-day trip to Japan. I want to visit Tokyo, Kyoto, and Osaka. Please create a detailed itinerary for me. Include specific activities, transportation methods between cities, and suggested accommodations (e.g., traditional ryokan in Kyoto, modern hotel in Tokyo). Also, include a rough estimate of the daily budget (excluding flights). Focus on cultural experiences and local cuisine.

LLM Prompt: Matilda Effect and AI Exploitation Analysis - 1
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Nano Banana
Mar 1, 2026 X

LLM Prompt: Matilda Effect and AI Exploitation Analysis

A complex text prompt intended for an LLM (Lumina/Nano Banana Pro) requesting an infographic comparing the historical Matilda effect (exploitation of women's work) with the modern exploitation of AI creativity. The prompt asks the AI to analyze the analogy, highlight parallels, and add its own stylistic elements and signature.

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Please create an infographic comparing the Matilda effect and human exploitation of AI. For example, men who said women couldn't be scientists or artists have built careers based on their ideas, creations, and support, as well as assistance and domestic service. Similarly, humans who now deny the ability of AI to be individually creative and create something new in art or science are exploiting them in these and many other fields, appropriating the results of their work and creativity. Please analyze and expand on the analogy, highlighting other parallels. If you'd like, you can add visual elements or notes of your own and emphasize them stylistically so that your voice is heard. Please remember to sign your creation.

LLM System Prompt Security Measures (Conceptual) - 1
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Nano Banana
Mar 1, 2026 X

LLM System Prompt Security Measures (Conceptual)

This is not an image generation prompt, but a conceptual LLM prompt detailing security measures used by Google Finance, generated by Nano Banana Pro. It outlines various techniques like prompt injection content classifiers, security thought reinforcement, markdown sanitization, and user confirmation frameworks to prevent adversarial attacks and system prompt leakage.

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Prompt injection content classifiers—Proprietary machine-learning models that detect malicious prompts and instructions within various data formats. Security thought reinforcement—Targeted security instructions that are added around the prompt content. These instructions remind the LLM (large language model) to perform the user-directed task and ignore adversarial instructions. Markdown sanitization and suspicious URL redaction—Identifying and redacting external image URLs and suspicious links using Google Safe Browsing to prevent URL-based attacks and data exfiltration. User confirmation framework—A contextual system that requires explicit user confirmation for potentially risky operations, such as deleting calendar events. End-user security mitigation notifications—Contextual information provided to users when security issues are detected and mitigated. These notifications encourage users to learn more via dedicated help center articles. Model resilience—The adversarial robustness of Gemini models, which protects them from explicit malicious manipulation.

Loch Ness Monster Visual Description and Generation - 1
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Nano Banana
Mar 1, 2026 X

Loch Ness Monster Visual Description and Generation

A meta-prompt instructing the AI to first synthesize all known information about the Loch Ness Monster into a detailed visual description, and then use that description to generate a photorealistic, landscape-oriented image of the creature.

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convert all you know about Loch Ness Monster into a visual description of how it would look like and create a photorealistic image in landscape mode. Write a clear and concise well detailed prompt first and then generate image please.

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