
The Best Ideogram Prompts
The top Ideogram prompts on Wikiprompt, from rope-knot lettering and neon signs to retro screenprint posters, plus the patterns that get text rendered right.
Learn prompt engineering, discover AI tools, and stay ahead of the curve with expert guides and tutorials.

The top Ideogram prompts on Wikiprompt, from rope-knot lettering and neon signs to retro screenprint posters, plus the patterns that get text rendered right.
The top Leonardo AI prompts on Wikiprompt, from AlbedoBase XL fractal styles to Lucid Realism and Motion 2.0 videos, plus the template patterns that make them reusable.

We counted 24 lighting terms across 62,558 image and video prompts. Cinematic lighting is everywhere, Rembrandt lighting almost nowhere. Here is the vocabulary, the best prompts for each term and a recipe to make your lighting specific.

The top Higgsfield prompts on Wikiprompt, from Soul 2.0 portraits to Cinema Studio and WAN 2.5 videos, plus the shot-list patterns that make them work.

The highest-rated Z-Image Turbo prompts on Wikiprompt, the patterns that make them work, and a starter recipe for this fast open-weights image model.

The current image models fake a convincing 3D render: tiny dioramas, isometric cities, collectible figures. Here are the best prompts and the 6 patterns that make the render read as a real physical object.

Text used to be what AI image models were worst at; in 2026 it became a feature. Here are the best wordmark, 3D-lettering and calligraphy prompts, and the 5 patterns that keep the text legible.

Instinct raised $1 billion at a $10 billion valuation in September 2026 for a personal AI agent that calls and texts on your behalf. The product, the concierge model, and the funding story.

xAI's Grok Bot runs on a persistent cloud computer and learns repeatable skills from a single screen recording. What it does, the teach-a-task feature, and where to get it.

OpenAI's Dots, unveiled at DevDay 2026 and powered by GPT-6 Astra, are always-on agents you reach from ChatGPT, Slack, Teams or a phone call. What they do and how they work.

Meta's Muse is a personal AI agent that books, buys and emails on your behalf, free on iOS, Android, web and WhatsApp. What it does, how it is secured, and where it fits in the 2026 agent race.

In weeks, Meta, OpenAI and xAI all shipped personal AI agents that act on your behalf, and the startup Instinct raised $1B to beat them. What each one is, how they differ, and why they arrived at once.

A single prompt now produces a photoreal hero render, an exploded axonometric, or a full presentation board. Here are the best AI architecture and real estate prompts and the 6 patterns that make them look firm-made.

Infographics are the most underrated thing you can make with an AI image model: exploded diagrams, anatomy posters, cheat sheets. Here are the best prompts and the 5 patterns that keep them readable.

Editorial photography is where AI image models show off. Here are the best fashion and editorial prompts across GPT Image, Nano Banana and more, plus the 6 patterns that turn a portrait into a magazine spread.

GPT Image 1.5 is the workhorse of commercial image generation: product shots, food photography and advertising stills. Here are the best prompts and the JSON patterns that make them work.

A character reference sheet keeps the same character on-model across every image and video. Here are the best prompts in the catalog and the 6 patterns that make a sheet actually reusable.

Not one top-3 position changed across LiveBench, BenchLM, Aider and LMArena this week. The real action was off the boards: the Jev and Laya decision models opened a category no benchmark measures yet.

Days after TypeSafe launched Jev, Convai Innovations shipped Laya: an Apache 2.0, 421M-parameter decision model claiming 33ms decisions across 100+ languages. How the two compare, honestly, including the fine-tuning caveat.

Image-to-video (I2V) lets you animate a single still - a product shot, character render or painting - into a coherent clip. Here are the five moves that work and the prompt patterns behind the best I2V results.

TypeSafe AI launched Jev, a non-chat "System One" model that returns typed decisions with calibrated probabilities instead of prose. Here is what it is, the performance claims, and why it complements generative prompting.

Creators are faking AAA game trailers, gameplay footage, key art and character sheets with AI. We mapped the five formats and the prompt patterns that make a clip read like a real studio reveal.

We compared thousands of real prompts for both Google image models. Nano Banana 2 is the portrait and editorial specialist; Nano Banana Pro is the versatile workhorse for grids, ads and composite scenes.

The habits behind the video prompts our community rates highest: shot direction, cut lists, camera-era looks, native audio, and picking the right model, drawn from 12,000 real examples.

The weekly photo across five leaderboards: Claude Fable 5.1 holds text, LiveBench and BenchLM; GPT-5 keeps the Aider coding crown; GPT-6 Astra dominates webdev. Stability at the top, split by discipline.

We mined the 11,098 portrait prompts on Wikiprompt for the patterns behind striking AI portraits: lens language, named light, texture anchors, and nine real prompts worth stealing.

We mined nearly 3,000 curated product and advertising prompts: which image models actually deliver for product shots, and the four prompt patterns behind the top-rated results.

The best DALL-E prompts from 330+ curated and rated examples: made-of transformations, container scenes and calligraphy art, plus the template patterns that make DALL-E reliable.

The best GPT Image 1 prompts from 550+ rated examples: campaign posters, collectible cards and typography-heavy layouts, plus the brief-style prompting patterns that make them work.

The best Sora prompts from a rated corpus of 370+: OpenAI's launch demos, remix chains and product-ad templates, plus the shot-list patterns that make Sora clips work.

We analyzed all 2,185 Featured prompts against the other 111k: they are 4x longer, 4x more likely to be video, heavy on film vocabulary and reusable placeholders. The data, and a checklist.

The weekly photo: GPT-6 Astra debuts at 1797 Elo on webdev (+107 over the old leader), Claude Fable 5.1 takes the text arena and LiveBench, and Aider has not caught up yet.

Gemini Omni leads the arena, Seedance 2.0 wins per-clip human ratings, and Veo 3 dominates usage. Three datasets, three different winners - and how to choose.

A data-grounded guide to the best Veo 2 video prompts on Wikiprompt: the cinematic patterns that work, 10 templates worth reusing, and what to change when you move them to Veo 3.

Anthropic, Google and OpenAI all shipped in 72 hours. What launched, what our daily benchmark snapshots already show, and why tiered access is the new frontier pattern.

A data-grounded guide to the best Wan 2.1 video prompts on Wikiprompt: what the open-source model does well, the prompt patterns that work, and 10 templates to steal.

Wikiprompt crossed 100,000 active prompts: 1,053 models, 3 documented eras of prompting, 449k translations, all attributed and downloadable as open data.
DiffusionDB lands on Wikiprompt: thousands of real August-2022 prompts with their images AND exact generation parameters - seed, steps, CFG and sampler. The catalog timeline now starts where open image generation began.

Wikiprompt absorbed the LAION DALL-E 3 Discord archive (CC0): 15,327 dated prompts from 2023-2024 that show how differently we prompted before the photorealism era.

Weekly frozen photo of six LLM leaderboards: Opus 5 max takes the text arena, Fable 5 holds LiveBench, gpt-5 keeps Aider coding, and the sources still disagree.
12 top-scoring Grok Imagine prompts from wikiprompt's catalog, covering cinematic portraits, fire and water effects, and emotional-contrast video clips, plus the recipe behind why they work.

The top-rated Seedance 2.5 prompts: character consistency, handheld and bodycam textures, and reusable commercial templates.

The top-rated Kling prompts and the patterns behind them: camera-first prompting, single transformation arcs, and weather as the antagonist.

The top-rated Veo 3 prompts and the patterns behind them: one continuous shot, physics as protagonist, and prompting the audio alongside the image.

Nano Banana and Nano Banana Pro are Google's fast-rising image models. We pulled the best Nano Banana prompts on Wikiprompt and the patterns behind them.

The top-rated Seedance 2.0 video prompts and the storyboard grammar behind them: timed beats, one camera move per segment, and cinematic action that actually cuts together.

The top-rated Stable Diffusion prompts on the encyclopedia and the patterns behind them: style stacking, neonpunk aesthetics, and the light tokens that carry a render.

We ranked Wikiprompt's highest-scoring Midjourney prompts and broke down what separates a striking image prompt from a forgettable one, from lighting language to material specificity.

Grok's top prompts are workhorses: sourced research protocols, marketing strategy engines, RPG tutors and X-thread writers. The best of 600+, with the patterns that make Grok respond well.

The gauntlet loop is the evaluator-optimizer pattern with three hardenings: the world replaces the rubric, a blind pick replaces scores, winning replaces round budgets.

What /loop and ultracode actually do in the original prompt, the minimal Claude Code setup, and the plain-words port for any other agent.

The essential gauntlet prompts in the catalog: the original Claude of Duty three-paragrapher, the reusable template, and what makes a community find worth saving.

Same model, same goal, very different output. Where the gauntlet's edge mechanically comes from, what it costs, and a practical rule for when to use each.

Vague bars, self-grading builders, soft critics, fixed round counts and pieces too big to judge: the five predictable failures and their fixes.

Three deliberate choices keep a gauntlet honest: a critic with fresh context, a binary pick instead of a score, and a bar that is a real thing instead of words.

Nothing in the gauntlet loop is about games or code. Essays against a named writer, pages against a competitor screenshot, research against an analyst note.

The five slots of a gauntlet prompt: goal, named fetchable bar, split, builder plus separate critic, earned exit. With a worked 120-word example.

Matt Shumer's Claude of Duty prompt is barely 150 words. Every line is load-bearing. Here is what each one does and what to steal.
Builder sub-agents, a separate harsh critic, a real quality bar and an earned exit: the anatomy of the prompt pattern that produced a 55,000-line browser FPS.

The first weekly photo of the LLM leaderboards: LMArena, LiveBench, BenchLM and Aider, frozen on one citable page. Anthropic sweeps three podiums; GPT-5 keeps the coding crown.

Wikiprompt now tracks LLM leaderboards across ten arenas, snapshotted daily so ranking changes stay on the record. Sourced from LMArena and OpenRouter, cited like Wikipedia references, in seven languages.

GPT Image is the all-rounder of image models: editorial photography, posters, character sheets and strong identity preservation. Here are the highest-rated prompts our community has shared.

Three Nano Banana variants, more than 7,800 prompts, one question: which do you pick? A straight answer grounded in how our community really uses each one.

Nano Banana 2 is the model to reach for when you want real skin, texture and light. Here are the highest-rated prompts our community has shared, plus the patterns that make them work.

Our first open dataset release: 56,637 curated AI prompts on Hugging Face, plus a live API, MCP server and the /dataset endpoint. Free, CC BY-SA, built to be built on.

The highest-rated DALL-E prompts on Wikiprompt, real slugs, real results, from photoreal biblical scale-tricks to claymation renders and brand logos.

The actual top-rated Seedream prompts on Wikiprompt: macro photorealism, classical painterly portraits, cinematic posters, and surreal concepts, with real slugs to browse and concrete tips for writing your own.

The real top-rated Claude prompts on Wikiprompt: system prompts, agent templates, business personas, and meta prompt-engineering, with concrete tips pulled from the patterns.

The real top-rated Flux prompts on Wikiprompt, ranked by quality and wow score: cinematic portraits, surreal composites, analog film looks, and commercial shots, plus tips for writing your own.

The real top-rated Adobe Firefly prompts on Wikiprompt: photoreal macro and food photography, double-exposure composites, stylized dioramas and metaphor-driven product shots, plus tips for writing your own.

The highest-rated ChatGPT prompts on Wikiprompt, real system prompts, research workflows, and role-based templates, picked from actual submissions and broken down by what makes them work.

The real top-rated Runway prompts on Wikiprompt, from cinematic camera moves to VFX text effects, with tips for writing your own.

The real top-rated Nano Banana Pro prompts on Wikiprompt: cinematic rain-lit portraits, Van Gogh and Monet style fusion, storyboard grids, and macro product shots, plus concrete tips for writing your own.

The highest-rated real Gemini prompts on Wikiprompt, from cinematic photoreal portraits and JSON-structured video briefs to vision-to-JSON system prompts, plus what makes each one work.

The real top-rated Hailuo (MiniMax) prompts on Wikiprompt: cinematic brand films, anime fight scenes, seamless macro transitions, and vlog-style shots, plus concrete tips for writing your own.

A guide for researchers, students, and journalists on how to pull the Wikiprompt dataset reproducibly, attribute it correctly, and understand its limits as a curated, evolving, aggregated corpus.

A precise, reference-style walkthrough of the /dataset manifest and /dataset/prompts endpoints: response shapes, every field, keyset pagination, caching, and error handling.

Wikiprompt now offers two machine paths into its 55,000+ prompt catalog: a live MCP server your agent can call at runtime, and a bulk JSON dataset you can index into your own RAG or vector store.

Wikiprompt's public dataset offers over 55,000 real, human-written prompts paired with outputs and quality signal, a different kind of training data than synthetic corpora.

Scraping the wikiprompt search UI is slow, fragile, and hard on our servers. The public bulk dataset gives you all 55,000+ prompts as clean structured JSON, with attribution built in.

A developer walkthrough for building a prompt-search UI, a prompt-of-the-day bot, a browser extension or a Discord bot on top of Wikiprompt's public 55,000+ prompt dataset, with ingest code and attribution notes.

A look at what you can learn by analyzing Wikiprompt's public dataset: which models dominate, how image, video and text prompts differ, and how to run your own analysis on the corpus.

Wikiprompt exposes its catalog three ways: a bulk JSON dataset, a live search API, and an MCP server for AI agents. Here is when to use each, with real examples.

Wikipedia proved that publishing full dumps makes an archive more essential, not less. We applied the same logic to our 55,000+ prompt catalog, and attribution to original authors is the deal that makes it work.

Wikiprompt's public dataset covers 55,000+ image, video, and text prompts across GPT Image, Midjourney, Seedance, Veo, Kling, ChatGPT, and more, each shipped with its actual result media and structured metadata.

A step by step guide to pulling the entire Wikiprompt catalog via the public dataset endpoint, following the keyset pagination cursor until there's nothing left, no scraping required.

Wikiprompt just opened its full catalog as a free, structured, no-key-needed dataset of over 55,000 AI prompts, ready to fetch in one line instead of scraping the site.

A data-driven look at Seedance 2.5 vs 2.0, based on the actual prompts our community submits for each version, to help you pick the right one for your next AI video.

A data-driven look at how the Wikiprompt community actually uses Nano Banana and GPT Image, from photoreal portraits to text-heavy compositions, to help you pick the right model for your next prompt.

A curated roundup of the strongest Kling video prompts on Wikiprompt, from FPV drone chases to cinematic transformations, with what makes each one work.

The highest-rated GPT Image 2 prompts on wikiprompt, from collectible posters to forensic-level portrait realism, with a quick recipe for writing your own.

Prompting is now a real skill, and prompt libraries are everywhere: X threads, Reddit, prompts.chat, faymas, paid marketplaces. Here is the landscape, and why a free, open, aggregated library like Wikiprompt is becoming the primary one.

Portrait, cinematic, shallow depth of field and golden hour are among the most common phrases in our 54,000+ prompt library. Here's what makes a portrait read as cinematic, plus 12 real prompts that nail it.

Twelve of the highest-rated Veo 3 prompts on wikiprompt, from macro cinematics to POV chases, plus what makes Veo 3 different and how to structure your own prompt.

Real prompts from wikiprompt for studio-quality product shots, ad campaigns and packaging mockups, no photographer required.

Twelve real prompts for wordmarks, brand identity sheets, logo renders, and logo-reveal videos, picked from wikiprompt data and ranked by what actually works.

We indexed the whole history of AI prompt-sharing on X. These 10 accounts have shared more high-quality prompts than anyone, led by LudovicCreator with over 3,000. Follow them and browse their full collections.

Seedance is the most-used AI video model on Wikiprompt. Here are the best Seedance prompts for cinematic shorts, anime action, one-take sequences and vlogs.

Paid marketplaces charge a few dollars per prompt. Wikiprompt is a free, open library of 54,000+ AI prompts you can copy, run and remix in one click. Here is how to find exactly what you need.

From Tokyo neon portraits to Mount Fuji travel posters and ramen-shop shorts, here are the best Japan-themed AI prompts on Wikiprompt, across images and video.

We analyzed 447 AI influencer prompts on Wikiprompt to find what separates a scroll-stopping virtual creator from an obvious fake: the patterns, the best prompts, and which model to use for each look.

With more than 54,000 prompts in the library, Wikiprompt is big enough to answer what people actually ask: which AI model is used most, which least, what each is best at, and the words in almost every good prompt.

Master the art of keeping faces consistent across images and scenes with proven prompt patterns, token anchors, and practical examples.

Master prompt writing for learning: define goals, use personas, chain steps, and avoid common pitfalls. Includes templates and examples.

Master AI product photography prompts: lighting, composition, style, and negative prompts. Includes examples and a checklist.

Learn the art of crafting effective Midjourney prompts with concrete techniques, examples, and a checklist to generate stunning AI art every time.

Master prompt templates and variables to create reusable, dynamic AI prompts that save time and improve consistency across projects.

Master prompt writing for Google's Nano Banana and Gemini Image models. Learn structure, style, and iteration with real examples.

Discover the difference between few-shot and zero-shot prompting, when to use each, and how to craft effective examples for better AI outputs.
Master the art of prompting for photorealistic AI images. Learn key techniques, camera specs, lighting, and composition with examples.

Master anime and illustration prompt writing: structure, style descriptors, composition, and examples to generate stunning AI art.

Learn the core principles of prompt engineering with concrete examples, common mistakes, and a practical checklist for better AI outputs.

Learn to craft AI prompts that deliver sharp business strategy and analysis. Includes frameworks, examples, and common pitfalls.

Master prompt engineering for logo and brand design. Learn structure, style, color, and iteration tips with real examples.

Learn to craft effective system prompts for AI agents: structure, tone, constraints, examples, and common pitfalls.

Master the art of crafting cinematic portrait prompts for AI image generators. Learn lighting, lens, mood, and composition techniques with examples.

Master prompt engineering for coding and debugging. Learn to write precise, context-rich prompts that get better AI-generated code and faster bug fixes.

Learn to craft AI prompts that produce high-converting marketing copy and ads. Includes frameworks, examples, and common pitfalls to avoid.

Master ChatGPT prompting with clear steps, examples, and common pitfalls. Learn to write prompts that get precise, useful answers every time.

Master Claude prompting with clear instructions, examples, and structure. Learn techniques, see sample prompts, and avoid common mistakes.

Master AI image prompts with concrete techniques, examples, and a checklist. Learn to describe subjects, style, lighting, and composition for stunning results.

Master the art of prompting AI video generators like Sora, Veo, and Seedance. Learn structure, motion, camera, and style techniques with examples.

A prompt is the single most underrated variable in AI output quality. Here's what makes a good one, the main prompt types worth knowing, and how to find real working examples on wikiprompt.

Connect Claude, Cursor or any MCP client to 900+ curated prompts with our new MCP server at mcp.wikiprompt.org, or teach claude.ai the catalog with the downloadable Skill.

Discover the complete etymology and evolution of the word "prompt" - from its Latin roots to becoming the most important term in the AI era.
Master prompt injection attacks and defenses. Learn how attackers exploit AI systems and how to protect your applications with proven security techniques.
Master the art of financial prompts. Learn to create prompts that help with analysis, investments, budgets, and more.
Free, unlimited AI image generation on your own computer. Step-by-step instructions for Windows, Mac, and Linux.
Learn how to use AI tools to 10x your content production without sacrificing quality.
Supercharge your coding workflow with these battle-tested prompts for debugging, refactoring, and documentation.
Anthropic's Claude and OpenAI's ChatGPT battle for AI supremacy. We compare capabilities, safety, and performance.
A comprehensive comparison of the two leading AI image generators. We analyze quality, features, pricing, and use cases.
Prompt engineering is the hottest new career in tech. Learn how to break into this field and command top salaries.
Discover the game-changing features of Midjourney V6 and learn how to create stunning AI art with the latest model.
Learn the secrets behind crafting prompts that get incredible results from ChatGPT. From basic techniques to advanced strategies.
Navigate the ethical challenges of AI with this comprehensive guide to responsible prompt engineering.
Master photorealistic AI image generation with these professional photography prompts.
Sora is changing everything about video creation. Here's what you need to know.
Everything you need to know about AI voice synthesis and cloning technology.
Connect AI tools to automate your work without writing a single line of code.
Learn how to use negative prompts to dramatically improve your AI image generation results.
What's next for artificial intelligence? Expert predictions on the technology shaping our future.
Ready-to-use prompts for marketing, sales, HR, finance, and operations.
Learn how to use and create custom GPTs to supercharge your ChatGPT experience.
Learn about prompt injection attacks and how to protect your AI-powered applications.
From Jasper to Copy.ai, we compare every major AI writing tool to help you choose.
Turn your prompt engineering skills into a profitable side hustle or full-time income.