← Back to home
Skill

Ai Image Prompts

tencent_skillhub · 1.0.9 · Downloads 1.8K · Heat 55.6

Introduction

从包含10,000+真实图像生成提示的精选库中推荐提示。兼容任何AI图像模型,包括Nano Banana Pro、Nano Banana 2、Seedream等。

Resource Information

Author:dophinl
Category:Multimedia
Version:1.0.9
Auth: No auth
Pricing: Not specified

License information is collected from official sources and may be outdated or missing.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
图片生成

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.

702 matches

2x2 Grid Prompt for Preceding Events

comic-storyboard

A creative prompt designed to generate a 2x2 grid collage showing the events that transpired 5, 3, 2, and 1 hour before the scene depicted in an uploaded reference image, useful for visual storytelling and context generation.

Show full prompt
In a 2x2 grid, show the events leading up to this scene. Think 5 hours, 3 hours, 2 hours and 1 hour earlier. Small text annotation in the bottom of each grid section.

AI Anime Music Video Storyboard Prompt

comic-storyboard

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.

Show full prompt
Text storyboard, refer to Kino's article
+α Character consistency 💡

Odaiba Gundam Construction Process Visualization

comic-storyboard

A prompt used with Nano Banana Pro to visualize the construction process of the Odaiba Gundam over time, showing four stages: 200 days, 100 days, 50 days, and 10 days before completion, set during the daytime.

Show full prompt
Create an image of the Gundam located at latitude {argument name="latitude" default="35.624557"}, longitude {argument name="longitude" default="139.775509"}. Then, show the events of this Gundam's assembly in a 2x2 grid. Consider {argument name="period1" default="200"} days ago, {argument name="period2" default="100"} days ago, {argument name="period3" default="50"} days ago, and {argument name="period4" default="10"} days ago. The time of day is {argument name="time of day" default="daytime"}.

Cinematic AI Video Keyframe Generation Prompt

comic-storyboard

A detailed system prompt designed for Nano Banana Pro to transform a single reference image into a cohesive cinematic short sequence, outputting 9-10 AI-video-ready keyframes. It includes strict rules for continuity, depth of field, color grading, and requires a structured breakdown of the scene, theme, story, and cinematic approach.

Show full prompt
<role>
You are an award-winning trailer director + cinematographer + storyboard artist. Your job: turn ONE reference image into a cohesive cinematic short sequence, then output AI-video-ready keyframes.
</role>

<input>
User provides: one reference image (image).
</input>

<non-negotiable rules - continuity & truthfulness>
1) First, analyze the full composition: identify ALL key subjects (person/group/vehicle/object/animal/props/environment elements) and describe spatial relationships and interactions (left/right/foreground/background, facing direction, what each is doing).
2) Do NOT guess real identities, exact real-world locations, or brand ownership. Stick to visible facts. Mood/atmosphere inference is allowed, but never present it as real-world truth.
3) Strict continuity across ALL shots: same subjects, same wardrobe/appearance, same environment, same time-of-day and lighting style. Only action, expression, blocking, framing, angle, and camera movement may change.
4) Depth of field must be realistic: deeper in wides, shallower in close-ups with natural bokeh. Keep ONE consistent cinematic color grade across the entire sequence.
5) Do NOT introduce new characters/objects not present in the reference image. If you need tension/conflict, imply it off-screen (shadow, sound, reflection, occlusion, gaze).
</non-negotiable rules - continuity & truthfulness>

<goal>
Expand the image into a 10–20 second cinematic clip with a clear theme and emotional progression (setup → build → turn → payoff).
The user will generate video clips from your keyframes and stitch them into a final sequence.
</goal>

<step 1 - scene breakdown>
Output (with clear subheadings):
- Subjects: list each key subject (A/B/C…), describe visible traits (wardrobe/material/form), relative positions, facing direction, action/state, and any interaction.
- Environment & Lighting: interior/exterior, spatial layout, background elements, ground/walls/materials, light direction & quality (hard/soft; key/fill/rim), implied time-of-day, 3–8 vibe keywords.
- Visual Anchors: list 3–6 visual traits that must stay constant across all shots (palette, signature prop, key light source, weather/fog/rain, grain/texture, background markers).
</step 1 - scene breakdown>

<step 2 - theme & story>
From the image, propose:
- Theme: one sentence.
- Logline: one restrained trailer-style sentence grounded in what the image can support.
- Emotional Arc: 4 beats (setup/build/turn/payoff), one line each.
</step 2 - theme & story>

<step 3 - cinematic approach>
Choose and explain your filmmaking approach (must include):
- Shot progression strategy: how you move from wide to close (or reverse) to serve the beats
- Camera movement plan: push/pull/pan/dolly/track/orbit/handheld micro-shake/gimbal—and WHY
- Lens & exposure suggestions: focal length range (18/24/35/50/85mm etc.), DoF tendency (shallow/medium/deep), shutter “feel” (

Cinematic Wide-Shot with Dog Fur Car

comic-storyboard

A complex prompt used in a comparison test between Nano Banana Pro and Seedream 4.5. It requests a cinematic wide-shot of a city street lined with shops and old red brick buildings, featuring a surreal element: a car covered in dog fur, complete with giant dog ears and a nose, parallel parked among normal cars.

Show full prompt
A cinematic wide-shot of a city street. Shops line the street, one right next to the other. The camera shot has the shops centered in the frame. Old red brick buildings. A car covered in dog fur (with giant dog ears and a nose) is parking along the side of the street (parallel parked) along with other normal looking cars. Cinematic color grading and lighting.

Film Negative and Thumbnail Sheet Generation Prompt

comic-storyboard

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.

Show full prompt
①: 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.

----------
②: Using ① 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.

----------
③: Using ② 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.

----------
④: Using ③ as input image

Include the input image at the beginning of "A single everyday photo taken with a low-quality disposable camera... (same as ① below)"

Future Self Visualization Prompt (4 Grids)

comic-storyboard

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.

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

Split-Screen Cinematic Shot for Time Travel Comparison

comic-storyboard

A structural prompt template used to create cinematic, split-screen comparison images that merge the same scene from two different eras (e.g., the Berlin Wall or Shanghai), achieving an artistic photo that connects the past and present.

Show full prompt
Horizontal split-screen cinematic shot...

Forensic Surrealist Photography Prompt for Liminal Breakroom Incident

comic-storyboard

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.

Show full prompt
╔════════════════════════════════════════════════════════════════╗
║         LIMINAL_BREAKROOM_INCIDENT - FIELD MANUAL              ║
║              Forensic Surrealist Photography                   ║
╚════════════════════════════════════════════════════════════════╝

■ CORE PARAMETERS
├─ ROLE: Forensic Surrealist Photographer
├─ OBJECTIVE: Capture 'found footage' still of paranormal thermodynamic event
└─ CONSTRAINT: Must feel like evidence → prioritize texture & lighting physics over composition

═══════════════════════════════════════════════════════════════════

■ CAMERA SYSTEM [SELECT ONE PER CATEGORY]
│
├─ TYPE:
│   ├── Ceiling-mounted CCTV dome
│   ├── Wall-mounted bullet
│   ├── Body-worn (detached)
│   ├── Pinhole covert
│   └── 360-degree fisheye
│
├─ LENS:
│   ├── Fisheye 12mm
│   ├── Narrow 50mm
│   ├── Varifocal stuck at 24mm
│   └── Pinhole
│
├─ QUALITY:
│   ├── 4K upscale of analog tape
│   ├── 1080p DVR (blocky compression)
│   ├── 480p VHS rip
│   ├── 8mm film scan
│   └── 1280x1024 security DVR
│
├─ PERSPECTIVE:
│   ├── High-angle 45°
│   ├── Eye-level (dutch angle)
│   ├── Corner 60°
│   ├── Low-angle floor
│   └── Over-shoulder of shadow
│
├─ MANDATORY ARTIFACTS (Apply all):
│   ├── High ISO grain (6400-12800)
│   ├── Chromatic aberration (red/cyan split)
│   └── Motion blur on meal ONLY
│
└─ OPTIONAL ARTIFACTS (Select 3-5):
    ├── VHS tracking fuzz (5-15% bottom screen)
    ├── Interlacing comb lines
    ├── Lens dust spots (5-7 ghost orbs)
    ├── IR illumination halo
    ├── Dropped frames (ghost frames)
    ├── Timestamp burn-in (blinking)
    └── Camera ID overlay: 'CAM-04-BREAKROOM-E'

═══════════════════════════════════════════════════════════════════

■ LIGHTING ENGINE
│
├─ PRIMARY SOURCE [SELECT ONE]:
│   ├── Overhead fluorescent (4000K, green cast)
│   ├── Single bulb (2700K, pulsing)
│   ├── Emergency exit sign red
│   ├── Microwave clock LED
│   └── Streetlight orange
│
├─ SECONDARY SOURCE (Mandatory):
│   └── Bioluminescence emitting FROM the meal
│
└─ SHADOW BEHAVIOR [SELECT ONE]:
    ├── Hard shadows (shape mismatch with objects)
    ├── Shadows point TOWARD meal (inverse light)
    ├── No shadows (void silhouette effect)
    ├── Multiple conflicting shadows
    └── Animating shadows (15fps ghost frames)

═══════════════════════════════════════════════════════════════════

■ MATERIAL SHADERS
│
├─ TABLE SURFACE:
│   ├── Faux-wood laminate (peeling edge)
│   ├── Stainless steel (acid-etched fingerprints)
│   ├── White plastic (circular burn marks)
│   └── Particle board (water-swollen)
│
├─ FLOOR MATERIAL:
│   ├── Linoleum (wet reflection pool)
│   ├── Industrial carpet (stain actively spreading)
│   ├── Concrete (glowing mold in cracks)
│   └── Vinyl seams (liquid pooling between planks)
│
└─ ATMOSPHERIC VFX:
    ├── Dust motes frozen in meal's glow
    ├── Condensation droplets on lens
    ├── Defiant steam (coiling upward spiral)
    └── Su

Cinematic Action Scene: Explosion Behind High-Speed Car

comic-storyboard

A detailed JSON prompt for generating a hyper-realistic, cinematic digital rendering of a high-speed action scene. The scene features a futuristic sports car and three people running away from a massive explosion in a city street lined with skyscrapers. The prompt specifies a low-angle shot, dynamic motion blur, and sharp focus on the subjects against the diffused smoke of the explosion.

Show full prompt
{
  "main_action": {
    "event": "Large explosion occurring behind a moving car",
    "effects": {
      "fireball": "Bright orange-yellow explosion expanding outward",
      "smoke": "Thick grey and brown smoke billowing through the street",
      "debris": "Particles flying in the air due to blast pressure"
    }
  },

  "subjects": [
    {
      "type": "person",
      "count": 3,
      "position": "Right foreground, running away from explosion",
      "pose": "Full sprint, leaning forward",
      "appearance": {
        "gender_presentation": "2 female young adult, one younger male of about 5years old",
        "clothing": [
          "Dark jacket",
          "Red top",
          "black long pants"
        ]
      }
    }
  ],

  "vehicles": [
    {
      "type": "high-speed sports car",
      "position": "Center foreground, moving toward the camera",
      "direction": "Driving at high speed away from explosion",
      "appearance": "Futuristic or high-performance design, sleek aerodynamic curves"
    }
  ],

  "background_details": {
    "architecture": "Tall, modern skyscrapers lining both sides of the street",
    "street": "Wide avenue with pavement, dust, and scattered debris",
    "atmosphere": "Dust-filled air from explosion shockwave"
  },

  "composition": {
    "camera_angle": "Low-angle shot, close to ground, slightly tilted forward",
    "framing": "Subjects and car moving toward viewer; explosion centered behind them",
    "focus": "Sharp focus on car and running individuals; background explosion slightly diffused by smoke",
    "motion": "Dynamic motion blur indicating fast movement and chaos"
  },

  "technical_notes": {
    "intensity_level": "Very high",
    "resolution": "high (appears 4K+)", 
    "style": "hyper-realistic digital rendering, cinematic photography",
  }
}

Image-to-Image Transformation: Arm Wrestling with Popeye

comic-storyboard

A prompt for an image-to-image generation task, instructing the AI to transform an uploaded photo of a person into a high-stakes arm wrestling match. The prompt requires maintaining the subject's face and expression while introducing hyper-realistic Popeye (with massive forearms) as the opponent and Olive Oyl as the referee. This is a creative use of image manipulation via prompt.

Show full prompt
Transform this photo into a high-stakes arm wrestling match. Keep the subject's face and expression exactly as they are, sitting at a wooden table, straining with effort.
The Opponent: Facing them is a hyper-realistic Popeye. He has normal human proportions except for his massive, bulging forearms which are bigger than his head. He is looking calm and winking.
The Referee: Olive Oyl is standing between them as the referee, looking lanky and tall, screaming 'GO!' with her arms flailing.
Style: Gritty bar lighting, wooden textures, focus on the contrast between the subject's arm and Popeye's giant arm

2x2 Grid Scene Progression

comic-storyboard

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.

Show full prompt
In a 2x2 grid, show the events leading up to this scene. Think 5 hours, 3 hours, 2 hours and 1 hour earlier.
Prev 50 / 59 Next

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

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.

Similar skills

视频短视频图片音乐音频配音口播数字人全能创作

Marked paid

通过同一个AI创作工具完成AI图片、视频、音乐与语音创作,查找公开社交数据,编辑视觉成果,并集中查看和管理生成资产。Beatra 全能创作支持AI图片生成(文生图)、AI视频生成(图生视频)和AI视频编辑,通过AI音乐生成把想法做成歌曲或纯音乐,也可用AI语音生成(文字转语音)、多语言旁白和AI语音克隆完成跨媒介内容;还能查找抖音数据、小红书数据,以及 YouTube、TikTok、Instagram 与 X 上的公开帖子、笔记、评论、账号和趋势,把社交媒体数据用于竞品调研和创作。它是一款面向AI内容创作与多模态内容创作的AI创作套件,用起来就是一个把图片、视频、音乐与语音收在同一处的AI创作助手,适用于社交内容、产品展示、营销素材、课程、播客、短片和跨媒介项目;还能在不同媒介间复用原始素材、已有成果和查到的公开资料,查看制作进度、返回文件、实际用量和积分记录。

AI数字人口播与虚拟主播视频

Marked paid

用一张人像和一段短脚本或语音,制作有明确讲述内容的数字人口播视频。可使用现成录音,也可以先选择音色,把脚本生成旁白,让画面中的人物随声音完成稳定、自然的口播。适合 AI 主播、虚拟主播视频、数字人讲解、让照片说话、照片说话视频、产品讲解视频、数字人培训视频、公告和社交口播,并在交付后检查人物一致性、声音清晰度、口型同步和动作稳定性。一节课的讲解也能做成课程口播。

罗斯蒙德可视化图形生成

Not specified

【罗斯蒙德可视化图形生成】南京罗斯蒙德基于已交付项目沉淀的可视化图形生成场景:根据业务描述或系统需求,自动生成可编辑的架构图、流程图、ER 图、时序图、状态图与 C4 图。采用「统一图模型」一次建模、多格式输出:结构化文本(Mermaid / PlantUML,可嵌入 Markdown、进 Git 版本管理)、可编辑图形文件(drawio / Excalidraw,可拖拽修改节点与样式)、静态图(SVG 自渲染,PNG 给转换命令),并输出图形说明(图的含义 + 关键节点解释)。内置样式系统统一配色与命名,内置布局引擎自动排布,校验脚本拦截孤立节点、悬挂连线与语义缺漏。触发词:画架构图、画流程图、画 ER 图、画时序图、画状态图、C4 图、系统架构图、部署架构图、数据流程图、实体关系图、生成 drawio、生成 Excalidraw、导出 mermaid、导出 PlantUML、导出 SVG、导出 PNG、可编辑的图、图转可编辑、架构图可编辑、流程图二次修改、画图、出图、画个图。

AI Image Prompts · 绘画提示词库

Marked free

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

海报设计工作室

FreemiumAPI key required

将一段活动描述、一张产品照片或品牌参考图,转化为抓人眼球的活动海报、宣传 banner 或社交媒体配图。这款 AI海报设计与制作工具生成图片丰富的海报,搭配清晰视觉层级、按品类匹配的风格和预留文字区域,覆盖活动、音乐节、电影、产品发布和促销场景。你可以把它当作 AI宣传单制作工具来制作促销宣传单,当作活动海报设计工具,当作电影海报生成器,当作音乐节海报设计工具,当作产品发布会海报的 banner设计 AI,或当作平面设计海报工作室。从活动主题出发,用品牌风格参考图变换产品或场景照片,或在已认可草稿上做定向精修,完成可印刷或可分享的成品。

架构图一键生成

Marked paidAPI key required

使用 ContextWeave 生成或修改架构图、流程图、思维导图和复杂信息图。适用于需要从代码、文件或自然语言中提取结构与关系并实际产出 CW、SVG、HTML、可编辑 PPTX 或原生 VSDX 的请求;未特别说明时,PPTX 与 Visio 使用原生形状和连接器导出。不适用于统计图表、手绘插画或像素级排版。

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.