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Skill

AI Image Prompts · 绘画提示词库

github · 1.0.4 · Downloads 1.1K · Heat 90.0

Source & License

Author: YouMind-OpenLab
License: MIT License (original)
Copyright notice: Copyright (c) 2026 YouMind-OpenLab

This site lists project metadata and a short summary only. We do not republish the author’s original content — follow the source link above for the full text. Verify the LICENSE and NOTICE in the original repository before commercial use.

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MIT License

Copyright (c) 2026 YouMind-OpenLab

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.

LICENSE · 2026-09-26 23:14:14

Introduction

Recommend curated prompts from a 10,000+ real-world image generation prompt library. Works with ANY AI image model — Nano Banana Pro, Nano Banana 2, Seedream 5.0, GPT Image 1.5, Midjourney, DALL-E 3, Flux, Stable Diffusion, and more. Use this skill when users want to: - Find proven image generation prompts (any model) - Get prompt inspiration for portraits, products, social media, posters, etc. - Create illustrations for articles, videos, podcasts, or marketing content - Browse categorized prompt templates with sample images - Translate and understand prompt techniques

Resource Information

Author:YouMind-OpenLab
Category:Multimedia
Language:en
Version:1.0.4
Auth: No auth
License:MIT
Pricing: Marked free
Publisher:YouMind

License information is collected from official sources and may be outdated or missing. Refer to the LICENSE file in the original repository before commercial use.

Tags
绘画提示词文生图营销素材

Installation

npx skills i YouMind-OpenLab/ai-image-prompts-skill

Features

  • 按用途分成 11 类,不是随机堆砌
  • 全文已入库,站内直接检索、可复制
  • 语义检索(描述需求即可)
  • 内容改写模式(贴正文生成定制提示词)
  • 数据每日同步两次
  • MIT 许可,无需 API Key
Use cases
找某类图片的现成提示词给文章/视频/播客配插画做海报 / 封面 / 社媒图翻译并理解提示词写法

Prompt Library · 22.8K

Source: community prompt library (MIT, synced daily)

15141 distinct prompts across 11 use cases; one prompt may serve several, so category counts add up to more than the deduplicated total.

725 matches

Villain Fairy Quote Generation

game-asset

A prompt used with Google Gemini3 image generator (Nano Banana Pro) to create an image of a villain fairy performing the quote, 'you think because you say nothing You’re strong?'

Show full prompt
the Villain fairy performs the “you think because you say nothing You’re strong?”

Human VS. Yokai Haxtusyaku-sama in FPS Game Style

game-asset

A prompt used with Nano Banana Pro via Google Gemini 3.1 to generate an image depicting a confrontation between a human and the Yokai Hachishaku-sama, rendered in the style of a First-Person Shooter (FPS) game.

Show full prompt
a human VS. Yokai Haxtusyaku-sama in the style of an FPS game

3D Render of Childlike Character in Puzzle Sweater

game-asset

A detailed prompt for Google Nano Banana Pro to generate a high-detail, clean 3D render of a character with soft, childlike features (no adult features, no beard, fuller cheeks), wearing a puzzle-patterned sweater, emphasizing soft cinematic lighting and a rich blue gradient background.

Show full prompt
soft, round face
fuller cheeks
small chin
slightly larger, expressive eyes (but still identity-consistent)
no beard, no sharp jawline, no adult features
Expression should be innocent, warm, and slightly playful, with a gentle smile and direct eye contact.
Body proportions should be cute and childlike (small, slightly chubby body, slightly larger head).

Pose: relaxed standing with hands behind the back, with a subtle natural tilt in head and shoulders to avoid stiffness.
Hair should match the reference but appear soft, slightly voluminous, and naturally styled, not overly sharp or artificial.
Skin should be soft and stylized, with subtle subsurface scattering (SSS) for a warm glow, matte finish (no plastic shine), and gentle natural blush on cheeks.
The character wears a half sleeves cotton sweater with a puzzle pattern, where:

colors are soft but lively and slightly vibrant
not oversaturated and not washed out
The fabric shows a realistic knit texture and soft folds
Lighting should be soft and cinematic:

key light from upper-left
gentle fill light
subtle rim light on hair
Background should be a rich blue gradient, brighter behind the subject and darker toward the edges, with smooth depth (not flat).
Output should be:

1:1 aspect ratio
mid-length framing (head to waist)
high-detail, clean 3D render
film-quality finish (not toy-like, not overly realistic)

Ultra-Realistic Man in Angry Birds World

game-asset

A prompt for Google Nano Banana to create an ultra-realistic, vertical Instagram image of a man with identical facial features to a reference, dramatically escaping an explosion within the Angry Birds world, detailing the action, environment, and cinematic lighting.

Show full prompt
Create a completely new ultra realistic Instagram vertical 4:5 image for Gemini 3 Pro Nano Banana of the same man with identical facial features inside the Angry Birds world during a dramatic escape moment. He jumps off a collapsing wooden platform as multiple TNT crates detonate behind him, red sparks and debris flying. Red is mid air flying beside him, Bomb is igniting, Chuck sprints ahead, Stella flutters above, and pigs are scattering everywhere in panic. Outfit: fitted white T-shirt, tactical brown cargo pants, and impact-ready white sneakers with red-yellow accents, all detailed and textured. Environment: broken glass, exploding stone blocks, rolling green hills blurred behind. Lighting: intense warm explosion glow from one side combined with cool sky light from the other, giving epic cinematic contrast. Feathers, dust, debris, and motion are ultra

detailed. Shot on a dynamic slightly low 28 mm lens for powerful action depth, with sharp focus on the man and Red.

Full Armor Mecha Girl Figure Concept for Nano Banana Pro

game-asset

A concept prompt for generating an image of a 1/7 scale figure of a Full Armor Mecha Girl, FAMG-002 Belthiera, generated using Nano Banana Pro.

Show full prompt
Full Armor Mecha Girl
FAMG-002 Belthiera
1/7 scale figure

Breaking Bad Collectible Figurine Prompt with Reference Image

game-asset

A prompt for Nano Banana 2 via Gemini to create a realistic 1/7 scale commercialized figurine of a person (from an attached image, likely a Breaking Bad character) in an artisan workshop setting. The prompt specifies details like the acrylic base, Zbrush modeling process on a screen, and BANDAI-style packaging.

Show full prompt
Create a 1/7 scale commercialized figurine of the person in the picture, in a realistic style, in a cozy artisan workshop environment. The figurine is placed on a wooden workbench. The figurine has a round transparent acrylic base, with no text on the base. The content on the computer screen is the Zbrush modeling process of this figurine. Next to it is a BANDAI-style toy packaging box printed with the original artwork. The packaging features two-dimensional flat illustrations.

Collectible Card in Zip Bag Macro Photography Prompt

game-asset

A prompt for Nano Banana 2 designed to turn a profile screenshot into a realistic collectible card inside a transparent zip bag, using a macro lens perspective with shallow depth of field and dramatic directional lighting to emphasize texture and detail.

Show full prompt
A photorealistic hand holding a transparent zip bag containing a realistic collectible card.

The card has exactly the same layout as shown in the attached screenshot. The header image at the top of the card is displayed as-is, without any transparency effects.

Use true macro lens perspective (90mm–120mm macro lens look) with very shallow depth of field. Only a thin slice of the object should be in sharp focus while the rest fades into smooth blur (bokeh). The image should emphasize fine surface details, micro textures, reflections, scratches, fibers, or material structure. Lighting should be directional and dramatic, coming from one side to reveal texture and shape. Use deep shadows and controlled highlights so the object appears sculptural and cinematic.

Technical Blueprint of an AI GPU Cluster

game-asset

A highly detailed prompt for Gemini Nano Banana Pro to generate a futuristic, cinematic image of a technical blueprint transforming into a photorealistic, self-assembling AI GPU cluster on a polished brass drafting table, emphasizing technical details, lighting, and composition.

Show full prompt
A detailed technical blueprint of a high-performance AI GPU cluster placed on a polished brass drafting table, with a photorealistic miniature AI server system self-assembling from it — multiple GPU accelerator units (sleek black and metallic modules with neon green accents) rising from the dimension lines, high-speed interconnect bridges threading through the tolerance annotations, and dense compute nodes forming from the grid layout.

Stacks of GPU cards slide into server chassis above the parts list, each unit locking in with precision. NVLink-style connectors and high-bandwidth interconnects assemble seamlessly between GPUs, forming a powerful parallel compute network. Rack-mounted AI servers emerge vertically, with layered compute blades building upward in perfect alignment.

A liquid cooling system forms from exploded-diagram callouts — transparent cooling pipes with glowing coolant flowing through them, cold plates attaching to GPUs, and radiators assembling with high-performance fans. Heat dissipation fins and airflow channels dynamically shape around the system.

A tiny engineer in futuristic protective gear stands on a GPU module inspecting circuits with a holographic diagnostic interface, while another miniature technician connects high-speed data cables into a switch unit. Fiber optic lines glow faintly, representing active data transfer.

Functional details illuminate — GPU core lights pulsing softly, status LEDs blinking in synchronized patterns, data streams visualized as glowing lines moving between nodes, and monitoring panels activating during assembly.

Signature tools of the trade — precision screwdriver, thermal paste applicator, anti-static tools, fiber connectors, and a digital diagnostic tablet — rest across the blueprint’s title block, partially integrated into the scene.

All elements grow organically from the blueprint like a 3D mechanical diorama — circuit traces rising from printed schematics, GPU modules emerging from drawn outlines, cables threading through pencil grid lines. Seamless transformation from 2D blueprint into a fully operational AI infrastructure.

LIGHTING:
Soft studio lighting combined with strong neon green and cool blue glows from GPUs and data pathways. Subtle reflections from the brass surface and volumetric light enhancing depth.

CAMERA & LENS:
Shot on a full-frame camera, 35mm lens. Slight low-angle perspective to emphasize scale and power. Cinematic depth of field with focus on central GPU cluster.

COMPOSITION:
Vertical 2:3 format. Central stacked GPU cluster rising upward with symmetrical balance. Clean negative space around edges with layered depth.

STYLE & MOOD:
Futuristic, cinematic, high-end AI infrastructure aesthetic inspired by NVIDIA design language. Powerful, clean, and cutting-edge.

DETAILS:
Ultra-detailed textures — matte black metal, glowing accents, micro circuitry, cooling liquid reflections, cable braiding, LED indicators. 8K resolution, HDR,

Weighted Prompt for 3D Pop-Up Comic Diorama

game-asset

A complex, weighted prompt structure for Nano Banana, designed to generate a 3D pop-up diorama aesthetic based on comic books, featuring vinyl toys, translucent energy effects, and floating text, while negatively weighting against 2D and human realism.

Show full prompt
Render_Target = 
( Open_Book_3D_Pop_Up_Diorama * 2.0 ) + 
( Inferred_3D_Environment_[COMIC_SERIES] * 1.5 ) + 
( 3D_Vinyl_Toy_[HEROES] + 3D_Vinyl_Toy_[VILLAINS] * 1.8 ) + 
( Translucent_Plastic_Energy_FX * 1.5 ) + 
( Floating_3D_Text_"{argument name="sfx text" default="SFX_TEXT"}" * 1.5 ) + 
( Floating_Yellow_Title_Box_"{argument name="comic series" default="COMIC_SERIES"} | {argument name="year" default="YEAR"}" * 1.2 ) + 
( Vintage_Flat_Comic_Book_On_Wooden_Desk * 1.0 ) - 
( 2D_Flat_Characters / 2.0 ) - 
( Human_Realism / 2.0 ) - 
( Life_Size_Scale )

Hyper-Realistic 3D CGI Collectible Figurine Prompt for Nano Banana 2

game-asset

A detailed prompt for Nano Banana 2 to convert an existing character concept into a hyper-realistic 3D CGI collectible figurine render, emphasizing physically-based rendering, material realism (fabric, metal, skin), anatomical correctness, and a clean studio aesthetic.

Show full prompt
Convert to hyper-realistic 3D CGI collectible figurine render. Physically-based rendering, octane render quality. Preserve the original character design, pose, and outfit exactly. Transform all surfaces into real-world materials: fabric with visible weave and drape, metal with wear, scratches and oxidation, synthetic matte skin. Pure white studio background, clean seamless white backdrop, soft diffused lighting with subtle rim light. No cel shading, no toon rendering. High-end statue/collectible photography aesthetic. Ultra detailed, 8K. Fix and reconstruct all hands and fingers with correct anatomy: natural finger count, proper joint articulation, realistic proportions, no fused or melted digits. Remove all 2D artifacts, compression glitches, and Midjourney inconsistencies. Ensure full anatomical coherence across the entire figure: symmetrical features, clean silhouette, no floating elements, no distorted limbs, no duplicated body parts. Hyper-detailed hair simulation: individual strand rendering, realistic hair clumping, natural flow and gravity, visible scalp at roots, micro flyaways, SSS translucency on hair tips. Every surface pushed to maximum realism: pore-level skin texture, fabric fiber micro-detail, specular highlights on every material, depth in shadows

3D Tiny Anime Girl 'Gugu' Sequence

game-asset

A prompt for Google Gemini Nano Banana to generate a sequence of actions featuring an ultra-detailed 3D tiny anime-style girl named Gugu. The prompt specifies her appearance (chibi-style, oversized hoodie, soft features) and outlines a series of 10 frames/actions in a whimsical, cozy setting, emphasizing soft lighting and pastel tones.

Show full prompt
ultra-detailed 3D tiny anime-style girl named Gugu, short fluffy hair, soft round cheeks, big sparkling eyes, wearing a pastel-colored oversized hoodie with little animal ears, tiny socks, small ribbon around neck, chibi-style proportions with round head, small body, expressive arms and legs, adorable and highly expressive, capable of cute gestures and exaggerated reactions, cinematic shallow depth of field, 8K UHD, soft warm sunlight, cozy pastel tones, whimsical playroom / nursery background, sequence of actions:
Frame 1: sitting cross-legged on fluffy pastel rug, holding small stuffed bunny, shy expression
Frame 2: standing slightly, tilting head, tiny hand raised in gentle wave, playful expression
Frame 3: clapping tiny hands excitedly, eyes sparkling, happy squeak
Frame 4: leaning forward, reaching toward small floating butterfly, cheeks rosy, curious
Frame 5: jumping slightly, tiny feet off ground, arms raised in delight
Frame 6: (optional placeholder for continuity)
Frame 7: tilting head with one hand on cheek, playful and curious expression
Frame 8: rolling slightly on rug, legs kicking gently, giggling with sparkling tears of laughter
Frame 9: sitting back up, looking up with hopeful puppy-like eyes, floating sparkles
Frame 10: giving a tiny wink and finger heart gesture, full adorable charm

Cinematic 3D Toy Character Evolution Sequence

game-asset

A highly structured prompt for generating a cinematic image showing the evolution of a 3D toy character across 6-8 stages in a single frame, emphasizing absolute likeness integrity, diagonal composition, progressive motion, and dramatic lighting to highlight the final, evolved form.

Show full prompt
A cinematic evolution sequence of the 3d toy character shown as multiple identical instances progressing from primitive to fully realized form across a single frame.
🔒 LIKENESS INTEGRITY (ABSOLUTE PRIORITY)

All instances must preserve exactly:

• proportions

• eye shape, spacing, stylization

• silhouette

• material identity
No redesign. No added features. No anatomy change. Only pose progression is allowed.
🧠 EVOLUTION STRUCTURE (MANDATORY)

The character appears repeated in a left-to-right progression of 6–8 stages:

• earliest stage: crouched, compressed, almost animalistic or inactive

• mid stages: gradual spine lift, awareness, balance emerging

• final stage: fully upright, confident forward motion
Each stage must feel like a natural transformation, not separate poses.

Motion must read as a continuous evolution.
🎥 CAMERA & PERSPECTIVE

Low-angle cinematic shot, slightly below mid-body height of the final character

Shot with a 28–35mm lens to create subtle perspective compression and depth

Camera positioned closer to the final evolved character, making it dominant in frame

The earliest forms recede into the background along a diagonal progression
⚖️ COMPOSITION (CRITICAL)

Diagonal layout from back-left (primitive) → front-right (evolved)

Foreground dominated by the final form, partially cropped for tension

Earlier stages progressively smaller and more compressed into depth

No centered symmetry
🎯 DEPTH OF FIELD (MANDATORY)

Primary focal plane locked on the most evolved character

Mid stages slightly softer

Earliest stages fall into progressive blur
No full-frame sharpness
💡 LIGHTING

Strong directional light from the side or rear

Rim light increases progressively across evolution stages

Primitive forms sit more in shadow

Final form is clearly defined with sculptural light separation
🌫 ATMOSPHERE

Subtle haze or volumetric light to enhance depth layering

Light falloff increases toward background

Optional faint dust or particles to create dimensional space
🎨 COLOR CONTROL

Primitive stages slightly desaturated and darker

Color richness increases toward the final evolved form

Controlled contrast, no oversaturation
🧱 SURFACE & MATERIAL

Maintain exact original material identity

Enhance micro-detail only on the focal character

No texture reinterpretation
🔥 EMOTION

Inevitable transformation

From instinct → awareness → dominance

The final character feels like the destination of a journey
🚫 NEGATIVE CONSTRAINTS

No random poses

No redesign

No symmetry

No flat lighting

No full-body sharpness everywhere

No equal importance across all stages
Aspect Ratio: ar 16:9
Prev 21 / 61 Next

Prompts are model-agnostic and work with Midjourney / DALL-E / Flux / Stable Diffusion.

Dependencies

- Node.js 18+
- 无需任何 API Key(数据全部公开)
- 提示词已完整同步到本地与数据库,站内检索不依赖第三方

Supported platforms

claude-codecursorcodexgemini-cliopenclaw

Changelog

Watching official sources
Content update 2026-10-20

内容有更新(细节请以官方文档为准)

Content update 2026-10-19

官方源有内容更新(首次纳入监控)

Information boundary

Information on this page is collected from official documents for technical presentation only and does not imply our endorsement. Pricing, quotas and availability are subject to the latest official statements. We make no commitment regarding any action you take after leaving this site.

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What is a Skill

A Skill is a packaged single capability, such as text recognition, document summarization, or keyword extraction. Developers wrap the calling logic and prompts into a plugin-like unit, so users can load it without understanding the underlying model. StackPilot indexes a large number of skills that can be tried instantly or assembled into a plan.