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---
name: ck:ai-artist
description: "Generate images via Nano Banana with 129 curated prompts. Mandatory validation interview refines style/mood/colors (use --skip to bypass). 3 modes: search, creative, wild. Styles: Ukiyo-e, Bento grid, cyberpunk, cinematic, vintage patent."
metadata:
author: claudekit
version: 3.1.0
argument-hint: "[concept] [--mode search|creative|wild|all] [--skip]"
---
# AI Artist - Nano Banana Image Generation
Generate images using 129 curated prompts from awesome-nano-banana-pro-prompts collection.
**Validation interview is mandatory** (use `--skip` to bypass).
## Workflow
**IMPORTANT:** Follow `references/validation-workflow.md` when this skill is activated.
## Quick Start
```bash
python3 scripts/generate.py "<concept>" -o <output.png> [--mode MODE]
```
### Generation Modes
| Mode | Description |
|------|-------------|
| `search` | Find best matching prompt from 129 curated prompts (default) |
| `creative` | Remix elements from top 3 matching prompts |
| `wild` | Out-of-the-box creative interpretation (random style transform) |
| `all` | Generate all 3 variations |
### Examples
```bash
# Default search mode
python3 scripts/generate.py "tech conference banner" -o banner.png -ar 16:9
# Creative remix (combines multiple prompts)
python3 scripts/generate.py "AI workshop" -o workshop.png --mode creative
# Wild/experimental (random artistic transformation)
python3 scripts/generate.py "product showcase" -o product.png --mode wild
# Generate all 3 variations at once
python3 scripts/generate.py "futuristic city" -o city.png --mode all -v
```
### Options
| Flag | Description |
|------|-------------|
| `-o, --output` | Output path (required) |
| `-m, --mode` | search, creative, wild, or all |
| `-ar, --aspect-ratio` | 1:1, 16:9, 9:16, etc. |
| `--model` | flash2 (default, fast+quality), flash (previous), pro (quality/4K) |
| `-v, --verbose` | Show matched prompts and details |
| `--dry-run` | Show prompt without generating |
| `--skip` | Bypass validation interview |
---
## Prompt Database
**129 curated prompts** extracted from awesome-nano-banana-pro-prompts:
```bash
# Search prompts
python3 scripts/search.py "<query>" --domain awesome
# View all prompts
cat data/awesome-prompts.csv
```
### Categories include:
- **Profile/Avatar**: Thought-leader headshots, mirror selfies
- **Infographics**: Bento grid, chalkboard, ingredient labels
- **Social Media**: Quote cards, banners, thumbnails
- **Product**: Commercial shots, e-commerce, Apple-style
- **Artistic**: Ukiyo-e, patent documents, vaporwave, cyberpunk
- **Character**: Anime, chibi, comic storyboards
---
## Wild Mode Transformations
The `wild` mode randomly applies one of these artistic transformations:
- Japanese Ukiyo-e woodblock print
- Premium liquid glass Bento grid infographic
- Vintage 1800s patent document
- Surreal dreamscape with volumetric god rays
- Cyberpunk neon aesthetic with holograms
- Hand-drawn chalkboard explanation
- Isometric 3D diorama
- Cinematic movie poster
- Vaporwave aesthetic with glitch effects
- Apple-style product showcase
---
## References
| Topic | File |
|-------|------|
| **Validation Workflow** | `references/validation-workflow.md` |
| All Prompts | `data/awesome-prompts.csv` |
| Nano Banana Guide | `references/nano-banana.md` |
| Image Prompting | `references/image-prompting.md` |
| Source | `references/awesome-nano-banana-pro-prompts.md` |
---
## Scripts
| Script | Purpose |
|--------|---------|
| `generate.py` | Main image generation with 3 modes |
| `search.py` | Search prompts database |
| `extract_prompts.py` | Extract prompts from markdown |
| `core.py` | BM25 search engine |

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STT,Lighting Type,Category,Keywords,Description,Mood,Best For,Prompt Keywords,Technical Notes
1,Golden Hour,Natural,"golden, sunset, warm, soft, magic hour, golden light","Warm directional sunlight during first/last hour of day","Romantic, warm, dreamy, nostalgic","Portraits, landscapes, lifestyle","golden hour lighting, warm sunset light, magic hour, soft directional sunlight","Sun 15-20° above horizon; warm color temp ~3000K; long shadows"
2,Blue Hour,Natural,"blue, twilight, dusk, dawn, cool, moody, serene","Cool ambient light just after sunset or before sunrise","Calm, mysterious, ethereal, melancholic","Cityscapes, moody portraits, atmospheric scenes","blue hour, twilight lighting, cool ambient light, pre-dawn atmosphere","No direct sun; sky as diffused light source; ~4000-6000K; city lights mix well"
3,Overcast,Natural,"overcast, cloudy, diffused, soft, even, flat","Evenly diffused light from cloud cover","Neutral, natural, intimate, documentary","Portraits, products, nature close-ups","overcast lighting, soft diffused daylight, cloudy day light","Giant softbox effect; minimal shadows; color temp ~6500K; flattering for skin"
4,Harsh Midday,Natural,"harsh, midday, direct, high contrast, hard shadows","Direct overhead sunlight with strong shadows","Dramatic, bold, stark, energetic","Fashion, architectural, dramatic scenes","harsh midday sun, direct overhead lighting, high contrast sunlight","Sun directly overhead; hard shadows under features; challenging for portraits"
5,Rembrandt,Portrait,"rembrandt, dramatic, chiaroscuro, triangle, classic","Single light source creating triangle on cheek","Dramatic, artistic, classic, serious","Dramatic portraits, fine art, character studies","Rembrandt lighting, triangle light on cheek, chiaroscuro, single source dramatic","45° angle, slightly above; small triangle under eye on shadow side"
6,Butterfly,Portrait,"butterfly, paramount, glamour, beauty, hollywood, classic","Light directly in front and above subject","Glamorous, elegant, flattering, hollywood","Beauty shots, fashion, headshots","butterfly lighting, paramount lighting, beauty light, overhead frontal","Creates shadow under nose; symmetrical; very flattering; fill from below optional"
7,Split,Portrait,"split, half lit, dramatic, mysterious, moody","Light illuminating exactly half the face","Mysterious, dramatic, intense, artistic","Dramatic portraits, conceptual, film noir","split lighting, half-face illumination, dramatic side lighting","Light at 90° to face; maximum drama; villain lighting; strong emotion"
8,Loop,Portrait,"loop, natural, versatile, slight shadow, classic","Slight shadow from nose toward cheek","Natural, approachable, versatile, professional","Professional headshots, corporate, general portraits","loop lighting, natural portrait light, slight nose shadow","Between butterfly and Rembrandt; 30-45° from camera; most versatile"
9,Rim Light,Accent,"rim, back, edge, separation, halo, outline","Light from behind creating edge highlight","Dramatic, separated, defined, ethereal","Silhouettes, product separation, dramatic portraits","rim lighting, backlight, edge light, hair light, subject separation","Behind subject; creates outline; great for hair; adds depth"
10,Volumetric,Atmospheric,"volumetric, god rays, light rays, foggy, atmospheric","Visible light rays in atmosphere","Mystical, spiritual, dramatic, cinematic","Forests, churches, dramatic scenes, fantasy","volumetric lighting, god rays, light beams, atmospheric fog lighting","Requires particles/fog; directional light source; dramatic effect"
11,Neon,Artificial,"neon, cyberpunk, colorful, glow, synthetic, urban","Colored artificial light sources creating glow","Futuristic, edgy, urban, energetic","Cyberpunk, night scenes, portraits, gaming","neon lighting, cyberpunk glow, colored light sources, neon signs","Multiple color sources; pink/cyan common; creates color mixing on skin"
12,Studio Softbox,Studio,"softbox, studio, professional, even, controlled","Large diffused artificial light source","Professional, clean, commercial, polished","Product shots, headshots, e-commerce","studio softbox lighting, professional studio light, soft even illumination","Large source = soft light; multiple setups possible; controllable"
13,Ring Light,Studio,"ring light, even, beauty, catchlight, influencer","Circular light source around camera lens","Modern, clean, beauty, social media","Beauty content, vlogs, product reviews, selfies","ring light, circular catchlight, even facial illumination","Creates distinctive circular catchlight in eyes; very even; popular for influencers"
14,Natural Window,Indoor,"window, natural indoor, side light, soft ambient","Daylight coming through windows","Intimate, natural, homey, authentic","Lifestyle, portraits, indoor scenes","natural window light, side lighting from window, soft indoor daylight","Direction and quality vary with time; curtains diffuse; very flattering"
15,Low Key,Mood,"low key, dark, moody, shadows, dramatic, noir","Mostly shadow with selective illumination","Mysterious, dramatic, artistic, moody","Film noir, dramatic portraits, conceptual","low key lighting, dramatic shadows, selective illumination, dark mood","High contrast; dark background; minimal fill; emphasis on shadows"
16,High Key,Mood,"high key, bright, clean, minimal shadows, airy","Bright even illumination with minimal shadows","Clean, optimistic, fresh, commercial","Commercial, beauty, product, children","high key lighting, bright even illumination, minimal shadows, clean white","Multiple light sources; white/light backgrounds; reduced contrast"
17,Practical,Scene,"practical, motivated, realistic, in-scene, diegetic","Light sources visible within the scene","Realistic, cinematic, grounded, authentic","Interior scenes, realistic settings, film","practical lighting, motivated light sources, in-scene illumination","Lamps, candles, screens as light sources; adds realism; matches setting"
18,Color Gel,Creative,"gel, colored, creative, mood, theatrical","Artificially colored light for creative effect","Creative, emotional, theatrical, stylized","Creative portraits, music, events, artistic","colored gel lighting, theatrical colored light, mood lighting","Colors convey emotion; complementary or contrasting; theatrical effect"
1 STT Lighting Type Category Keywords Description Mood Best For Prompt Keywords Technical Notes
2 1 Golden Hour Natural golden, sunset, warm, soft, magic hour, golden light Warm directional sunlight during first/last hour of day Romantic, warm, dreamy, nostalgic Portraits, landscapes, lifestyle golden hour lighting, warm sunset light, magic hour, soft directional sunlight Sun 15-20° above horizon; warm color temp ~3000K; long shadows
3 2 Blue Hour Natural blue, twilight, dusk, dawn, cool, moody, serene Cool ambient light just after sunset or before sunrise Calm, mysterious, ethereal, melancholic Cityscapes, moody portraits, atmospheric scenes blue hour, twilight lighting, cool ambient light, pre-dawn atmosphere No direct sun; sky as diffused light source; ~4000-6000K; city lights mix well
4 3 Overcast Natural overcast, cloudy, diffused, soft, even, flat Evenly diffused light from cloud cover Neutral, natural, intimate, documentary Portraits, products, nature close-ups overcast lighting, soft diffused daylight, cloudy day light Giant softbox effect; minimal shadows; color temp ~6500K; flattering for skin
5 4 Harsh Midday Natural harsh, midday, direct, high contrast, hard shadows Direct overhead sunlight with strong shadows Dramatic, bold, stark, energetic Fashion, architectural, dramatic scenes harsh midday sun, direct overhead lighting, high contrast sunlight Sun directly overhead; hard shadows under features; challenging for portraits
6 5 Rembrandt Portrait rembrandt, dramatic, chiaroscuro, triangle, classic Single light source creating triangle on cheek Dramatic, artistic, classic, serious Dramatic portraits, fine art, character studies Rembrandt lighting, triangle light on cheek, chiaroscuro, single source dramatic 45° angle, slightly above; small triangle under eye on shadow side
7 6 Butterfly Portrait butterfly, paramount, glamour, beauty, hollywood, classic Light directly in front and above subject Glamorous, elegant, flattering, hollywood Beauty shots, fashion, headshots butterfly lighting, paramount lighting, beauty light, overhead frontal Creates shadow under nose; symmetrical; very flattering; fill from below optional
8 7 Split Portrait split, half lit, dramatic, mysterious, moody Light illuminating exactly half the face Mysterious, dramatic, intense, artistic Dramatic portraits, conceptual, film noir split lighting, half-face illumination, dramatic side lighting Light at 90° to face; maximum drama; villain lighting; strong emotion
9 8 Loop Portrait loop, natural, versatile, slight shadow, classic Slight shadow from nose toward cheek Natural, approachable, versatile, professional Professional headshots, corporate, general portraits loop lighting, natural portrait light, slight nose shadow Between butterfly and Rembrandt; 30-45° from camera; most versatile
10 9 Rim Light Accent rim, back, edge, separation, halo, outline Light from behind creating edge highlight Dramatic, separated, defined, ethereal Silhouettes, product separation, dramatic portraits rim lighting, backlight, edge light, hair light, subject separation Behind subject; creates outline; great for hair; adds depth
11 10 Volumetric Atmospheric volumetric, god rays, light rays, foggy, atmospheric Visible light rays in atmosphere Mystical, spiritual, dramatic, cinematic Forests, churches, dramatic scenes, fantasy volumetric lighting, god rays, light beams, atmospheric fog lighting Requires particles/fog; directional light source; dramatic effect
12 11 Neon Artificial neon, cyberpunk, colorful, glow, synthetic, urban Colored artificial light sources creating glow Futuristic, edgy, urban, energetic Cyberpunk, night scenes, portraits, gaming neon lighting, cyberpunk glow, colored light sources, neon signs Multiple color sources; pink/cyan common; creates color mixing on skin
13 12 Studio Softbox Studio softbox, studio, professional, even, controlled Large diffused artificial light source Professional, clean, commercial, polished Product shots, headshots, e-commerce studio softbox lighting, professional studio light, soft even illumination Large source = soft light; multiple setups possible; controllable
14 13 Ring Light Studio ring light, even, beauty, catchlight, influencer Circular light source around camera lens Modern, clean, beauty, social media Beauty content, vlogs, product reviews, selfies ring light, circular catchlight, even facial illumination Creates distinctive circular catchlight in eyes; very even; popular for influencers
15 14 Natural Window Indoor window, natural indoor, side light, soft ambient Daylight coming through windows Intimate, natural, homey, authentic Lifestyle, portraits, indoor scenes natural window light, side lighting from window, soft indoor daylight Direction and quality vary with time; curtains diffuse; very flattering
16 15 Low Key Mood low key, dark, moody, shadows, dramatic, noir Mostly shadow with selective illumination Mysterious, dramatic, artistic, moody Film noir, dramatic portraits, conceptual low key lighting, dramatic shadows, selective illumination, dark mood High contrast; dark background; minimal fill; emphasis on shadows
17 16 High Key Mood high key, bright, clean, minimal shadows, airy Bright even illumination with minimal shadows Clean, optimistic, fresh, commercial Commercial, beauty, product, children high key lighting, bright even illumination, minimal shadows, clean white Multiple light sources; white/light backgrounds; reduced contrast
18 17 Practical Scene practical, motivated, realistic, in-scene, diegetic Light sources visible within the scene Realistic, cinematic, grounded, authentic Interior scenes, realistic settings, film practical lighting, motivated light sources, in-scene illumination Lamps, candles, screens as light sources; adds realism; matches setting
19 18 Color Gel Creative gel, colored, creative, mood, theatrical Artificially colored light for creative effect Creative, emotional, theatrical, stylized Creative portraits, music, events, artistic colored gel lighting, theatrical colored light, mood lighting Colors convey emotion; complementary or contrasting; theatrical effect

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Category,Template Name,Keywords,Prompt Template,Aspect Ratio,Tips
Quote Card,Wide Quote Card Portrait,"quote,inspiration,motivational,portrait,typography","A wide quote card featuring a famous person, with a {background_color} background and a {font_color} serif font for the quote: ""{quote}"" and smaller text: ""—{author}."" There is a large, subtle quotation mark before the text. The portrait of the person is on the left, the text on the right. The text occupies two-thirds of the image and the portrait one-third, with a slight gradient transition effect on the portrait.",16:9,Use brown/earthy backgrounds with light-gold text for elegance
Infographic,Bento Grid Product Infographic,"infographic,product,bento,glass,premium,educational","Premium liquid glass Bento grid product infographic with 8 modules. Product: {product}. Language: {language}. 1) Hero card (28-30%): Product photo/3D glass rendering. 2) Core Benefits: 4 key benefits with icons. 3) How to Use: 4 usage methods with icons. 4) Key Metrics: 5 data points. 5) Who It's For: 4 recommended + 3 caution groups. 6) Important Notes: 4 precautions. 7) Quick Reference: Specs/certifications. 8) Did You Know: 3 interesting facts. Background: Apple liquid glass cards (85-90% transparent). Ethereal macro/pattern/context background.",16:9,Use consistent icon style; ensure text legibility at mobile size
Header Banner,Hand-drawn Blog Header,"header,banner,blog,hand-drawn,gradient,tech","A header image for a blog article where a person introduces ""{topic}"". Aspect ratio: horizontal 16:9. Style: simple, hand-drawn style, italic lines. Colors: {color1} and {color2} gradient. Title text: ""{title}"" in clean typography.",16:9,Keep space for text overlay; use complementary gradient colors
Map,Watercolor Map with Labels,"map,watercolor,educational,geography,artistic","Generate a map of {country} in watercolor style, on which all {regions} are labeled in ballpoint pen handwriting. Soft color gradients for each region. Paper texture visible.",1:1,Use muted watercolor palette; ensure label readability
Portrait,2x2 Grid Photo Studio,"portrait,grid,fashion,studio,magazine","High-end photo studio 2x2 grid photo. Top-left panel ({color1} background): Subject wears {outfit1}, holds prop with ""{text1}"". Top-right panel ({color2} background): Same person in {outfit2}, holds prop with ""{text2}"". Bottom-left panel ({color3} background): Same person in {outfit3}, holds prop with ""{text3}"". Bottom-right panel ({color4} background): Same person in {outfit4}, completing the composition. Clear makeup, bright ring light, 85mm lens, f/1.8 aperture, fashion magazine style. MUST maintain consistent facial features across all panels.",1:1,Maintain identity lock across panels; use complementary color scheme
Patent,Vintage Patent Document,"patent,vintage,technical,document,invention","A vintage patent document for {invention}, styled after late 1800s United States Patent Office filings. Precise technical drawings with numbered callouts (Fig. 1, Fig. 2, Fig. 3) showing front, side, and exploded views. Handwritten annotations in fountain-pen ink describe mechanisms. Aged ivory paper with foxing stains and soft fold creases. Official embossed seal and red wax stamp in corner. Hand-signed inventor's name and date at bottom. Authoritative, historic, slightly mysterious feel.",3:4,Include multiple figure views; add authentic aging effects
Chalkboard,Chalkboard News Summary,"educational,chalkboard,news,diagram,hand-written","Using the following content, summarize the information in a chalkboard-style, hand-written look. Break it down with diagrams and easy-to-understand expressions as if a teacher had written it. Topic: {topic}. Key points to cover: {points}. Include arrows, boxes, and visual connections between concepts.",16:9,Use chalk texture; include visual hierarchy with boxes and arrows
Mirror Selfie,Otaku Room Mirror Selfie,"selfie,mirror,room,lifestyle,casual","Scene: Mirror selfie in an otaku-style room corner, {color} tone. Subject: {gender}, around {age}, {ethnicity}, {body_type}. Outfit: {clothing}. Room elements: {room_details}. Smartphone held for selfie via mirror. Natural lighting from window. Authentic lifestyle photography feel.",9:16,Include room context; ensure natural pose
Style Transform,Ukiyo-e Modern Reimagining,"ukiyo-e,Japanese,woodblock,artistic,transformation","A Japanese Edo-period Ukiyo-e woodblock print reimagining {modern_scene}. Collaboration between masters like Hokusai and Hiroshige, reimagining modern technology through an ancient lens. Characters wear Edo-era kimono but perform modern actions. Tech transformation: {modern_item} becomes {traditional_item}. Composition: Flattened perspective, bold ink outlines. Texture: Wood grain, paper fibers, pigment bleeding. Colors: Prussian blue, vermilion red, muted ochre. Include vertical Japanese calligraphy and red artist seal.",3:4,Transform modern elements into period equivalents
Social Banner,Tech Conference Announcement,"conference,tech,announcement,professional,corporate","A professional tech conference promotional image. Scene: Futuristic {venue_type} where humans and AI work together harmoniously. Holographic display shows ""{date}"". Color palette: deep {primary_color} as primary, electric {accent_color} as accent, pure white text elements. {style} aesthetic. Clean minimal design with subtle gradient lighting. Professional photography style, soft ambient lighting. Text overlay area at bottom for event details. NEVER include unwanted text. DO NOT add watermarks.",16:9,Reserve bottom 20% for text overlay; use corporate color scheme
Product Hero,Premium Product on Surface,"product,commercial,studio,luxury,hero","A premium {product} positioned on {surface}. Materials: {material_finish} finish catching light. Lighting: {lighting_setup} creating {mood} mood. Camera: {angle} angle, 85mm lens, f/2.8. Background: {background_type}, slightly out of focus. Style: {style} commercial photography. Highlights on edges, subtle reflections. NEVER add text or watermarks.",1:1,Use 3-point lighting; include subtle reflections
Character,Cyberpunk Character Portrait,"character,cyberpunk,neon,portrait,sci-fi","A {style} character portrait in cyberpunk setting. Subject: {description} with {distinctive_features}. Outfit: {outfit} with neon accents. Background: Rain-slicked street with holographic ads, neon signs in {colors}. Lighting: Neon rim light from behind, soft key light on face. Atmosphere: Moody, atmospheric fog. Camera: 85mm portrait lens, shallow DOF. STRICT identity lock if reference provided.",2:3,Use complementary neon colors; include atmospheric effects
Food,Overhead Food Photography,"food,overhead,culinary,lifestyle,restaurant","Overhead shot of {dish} on {surface}. Plating: {plating_style} presentation. Props: {props} arranged around main dish. Lighting: {lighting} creating appetizing shadows. Include human element: {human_element}. Steam/freshness visible. Color palette: {colors}. Style: {magazine} magazine quality. NEVER add text.",1:1,Include human hand or utensil for scale; show steam/freshness
Architecture,Interior Visualization,"interior,architecture,modern,visualization,lifestyle","A {style} interior photograph of {room_type}. View: {view_angle} angle capturing full space. Materials: {materials} creating {atmosphere} feel. Lighting: {time_of_day} light through {window_type}. Furniture: {furniture_style} pieces. Decorative elements: {decor}. Camera: Wide angle architectural lens, everything in focus. NEVER include people unless specified.",16:9,Use natural lighting; show material textures
Speaker,Conference Speaker Spotlight,"speaker,conference,professional,portrait,tech","Professional conference speaker promotional image. Subject: {demographics} presenting on stage or in modern setting. Background: Abstract flowing data visualizations, {topic}-related holographic elements. Color scheme: {primary}, {secondary}, {accent}. Lighting: Cinematic with soft key light on face, dramatic rim lighting. Modern corporate photography style. Clean space at bottom for speaker name/title overlay. NEVER include text in image.",1:1,Leave space for text overlay; use brand colors
Event CTA,Event Registration Urgency,"event,registration,urgency,countdown,promotional","Dynamic call-to-action promotional image for {event_type}. Scene: Excited people entering modern {venue} with {brand} elements. Countdown visualization floating in air. Golden VIP pass/ticket element representing {benefit}. Limited seats visual metaphor. Color palette: urgent {color1}, premium {color2}, trust {color3}. Energy and excitement atmosphere with motion blur on crowd. Clean bottom area for registration CTA. NEVER include specific text.",1:1,Use motion blur for energy; include urgency elements
1 Category Template Name Keywords Prompt Template Aspect Ratio Tips
2 Quote Card Wide Quote Card Portrait quote,inspiration,motivational,portrait,typography A wide quote card featuring a famous person, with a {background_color} background and a {font_color} serif font for the quote: "{quote}" and smaller text: "—{author}." There is a large, subtle quotation mark before the text. The portrait of the person is on the left, the text on the right. The text occupies two-thirds of the image and the portrait one-third, with a slight gradient transition effect on the portrait. 16:9 Use brown/earthy backgrounds with light-gold text for elegance
3 Infographic Bento Grid Product Infographic infographic,product,bento,glass,premium,educational Premium liquid glass Bento grid product infographic with 8 modules. Product: {product}. Language: {language}. 1) Hero card (28-30%): Product photo/3D glass rendering. 2) Core Benefits: 4 key benefits with icons. 3) How to Use: 4 usage methods with icons. 4) Key Metrics: 5 data points. 5) Who It's For: 4 recommended + 3 caution groups. 6) Important Notes: 4 precautions. 7) Quick Reference: Specs/certifications. 8) Did You Know: 3 interesting facts. Background: Apple liquid glass cards (85-90% transparent). Ethereal macro/pattern/context background. 16:9 Use consistent icon style; ensure text legibility at mobile size
4 Header Banner Hand-drawn Blog Header header,banner,blog,hand-drawn,gradient,tech A header image for a blog article where a person introduces "{topic}". Aspect ratio: horizontal 16:9. Style: simple, hand-drawn style, italic lines. Colors: {color1} and {color2} gradient. Title text: "{title}" in clean typography. 16:9 Keep space for text overlay; use complementary gradient colors
5 Map Watercolor Map with Labels map,watercolor,educational,geography,artistic Generate a map of {country} in watercolor style, on which all {regions} are labeled in ballpoint pen handwriting. Soft color gradients for each region. Paper texture visible. 1:1 Use muted watercolor palette; ensure label readability
6 Portrait 2x2 Grid Photo Studio portrait,grid,fashion,studio,magazine High-end photo studio 2x2 grid photo. Top-left panel ({color1} background): Subject wears {outfit1}, holds prop with "{text1}". Top-right panel ({color2} background): Same person in {outfit2}, holds prop with "{text2}". Bottom-left panel ({color3} background): Same person in {outfit3}, holds prop with "{text3}". Bottom-right panel ({color4} background): Same person in {outfit4}, completing the composition. Clear makeup, bright ring light, 85mm lens, f/1.8 aperture, fashion magazine style. MUST maintain consistent facial features across all panels. 1:1 Maintain identity lock across panels; use complementary color scheme
7 Patent Vintage Patent Document patent,vintage,technical,document,invention A vintage patent document for {invention}, styled after late 1800s United States Patent Office filings. Precise technical drawings with numbered callouts (Fig. 1, Fig. 2, Fig. 3) showing front, side, and exploded views. Handwritten annotations in fountain-pen ink describe mechanisms. Aged ivory paper with foxing stains and soft fold creases. Official embossed seal and red wax stamp in corner. Hand-signed inventor's name and date at bottom. Authoritative, historic, slightly mysterious feel. 3:4 Include multiple figure views; add authentic aging effects
8 Chalkboard Chalkboard News Summary educational,chalkboard,news,diagram,hand-written Using the following content, summarize the information in a chalkboard-style, hand-written look. Break it down with diagrams and easy-to-understand expressions as if a teacher had written it. Topic: {topic}. Key points to cover: {points}. Include arrows, boxes, and visual connections between concepts. 16:9 Use chalk texture; include visual hierarchy with boxes and arrows
9 Mirror Selfie Otaku Room Mirror Selfie selfie,mirror,room,lifestyle,casual Scene: Mirror selfie in an otaku-style room corner, {color} tone. Subject: {gender}, around {age}, {ethnicity}, {body_type}. Outfit: {clothing}. Room elements: {room_details}. Smartphone held for selfie via mirror. Natural lighting from window. Authentic lifestyle photography feel. 9:16 Include room context; ensure natural pose
10 Style Transform Ukiyo-e Modern Reimagining ukiyo-e,Japanese,woodblock,artistic,transformation A Japanese Edo-period Ukiyo-e woodblock print reimagining {modern_scene}. Collaboration between masters like Hokusai and Hiroshige, reimagining modern technology through an ancient lens. Characters wear Edo-era kimono but perform modern actions. Tech transformation: {modern_item} becomes {traditional_item}. Composition: Flattened perspective, bold ink outlines. Texture: Wood grain, paper fibers, pigment bleeding. Colors: Prussian blue, vermilion red, muted ochre. Include vertical Japanese calligraphy and red artist seal. 3:4 Transform modern elements into period equivalents
11 Social Banner Tech Conference Announcement conference,tech,announcement,professional,corporate A professional tech conference promotional image. Scene: Futuristic {venue_type} where humans and AI work together harmoniously. Holographic display shows "{date}". Color palette: deep {primary_color} as primary, electric {accent_color} as accent, pure white text elements. {style} aesthetic. Clean minimal design with subtle gradient lighting. Professional photography style, soft ambient lighting. Text overlay area at bottom for event details. NEVER include unwanted text. DO NOT add watermarks. 16:9 Reserve bottom 20% for text overlay; use corporate color scheme
12 Product Hero Premium Product on Surface product,commercial,studio,luxury,hero A premium {product} positioned on {surface}. Materials: {material_finish} finish catching light. Lighting: {lighting_setup} creating {mood} mood. Camera: {angle} angle, 85mm lens, f/2.8. Background: {background_type}, slightly out of focus. Style: {style} commercial photography. Highlights on edges, subtle reflections. NEVER add text or watermarks. 1:1 Use 3-point lighting; include subtle reflections
13 Character Cyberpunk Character Portrait character,cyberpunk,neon,portrait,sci-fi A {style} character portrait in cyberpunk setting. Subject: {description} with {distinctive_features}. Outfit: {outfit} with neon accents. Background: Rain-slicked street with holographic ads, neon signs in {colors}. Lighting: Neon rim light from behind, soft key light on face. Atmosphere: Moody, atmospheric fog. Camera: 85mm portrait lens, shallow DOF. STRICT identity lock if reference provided. 2:3 Use complementary neon colors; include atmospheric effects
14 Food Overhead Food Photography food,overhead,culinary,lifestyle,restaurant Overhead shot of {dish} on {surface}. Plating: {plating_style} presentation. Props: {props} arranged around main dish. Lighting: {lighting} creating appetizing shadows. Include human element: {human_element}. Steam/freshness visible. Color palette: {colors}. Style: {magazine} magazine quality. NEVER add text. 1:1 Include human hand or utensil for scale; show steam/freshness
15 Architecture Interior Visualization interior,architecture,modern,visualization,lifestyle A {style} interior photograph of {room_type}. View: {view_angle} angle capturing full space. Materials: {materials} creating {atmosphere} feel. Lighting: {time_of_day} light through {window_type}. Furniture: {furniture_style} pieces. Decorative elements: {decor}. Camera: Wide angle architectural lens, everything in focus. NEVER include people unless specified. 16:9 Use natural lighting; show material textures
16 Speaker Conference Speaker Spotlight speaker,conference,professional,portrait,tech Professional conference speaker promotional image. Subject: {demographics} presenting on stage or in modern setting. Background: Abstract flowing data visualizations, {topic}-related holographic elements. Color scheme: {primary}, {secondary}, {accent}. Lighting: Cinematic with soft key light on face, dramatic rim lighting. Modern corporate photography style. Clean space at bottom for speaker name/title overlay. NEVER include text in image. 1:1 Leave space for text overlay; use brand colors
17 Event CTA Event Registration Urgency event,registration,urgency,countdown,promotional Dynamic call-to-action promotional image for {event_type}. Scene: Excited people entering modern {venue} with {brand} elements. Countdown visualization floating in air. Golden VIP pass/ticket element representing {benefit}. Limited seats visual metaphor. Color palette: urgent {color1}, premium {color2}, trust {color3}. Energy and excitement atmosphere with motion blur on crowd. Clean bottom area for registration CTA. NEVER include specific text. 1:1 Use motion blur for energy; include urgency elements

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STT,Platform,Type,Keywords,Prompt Style,Key Parameters,Strengths,Limitations,Aspect Ratios,Best Practices
1,Midjourney,Commercial,"midjourney, MJ, Discord, v6, stylize, chaos, artistic","[prompt] --ar 16:9 --style raw --v 6.1","--ar (aspect), --style (raw/default), --stylize (0-1000), --chaos (0-100), --weird (0-3000), --seed, --no","Artistic interpretation, consistent style, excellent composition, great for concepts","No API, Discord-only, limited control, no inpainting in v6","1:1, 16:9, 9:16, 4:3, 3:2, 21:9, 2:3","Multi-prompt weighting cat::2; use /describe for reverse prompting; --style raw for photorealism"
2,DALL-E 3,Commercial,"dalle, dall-e, openai, gpt-4, natural language, API","Natural language description without parameters. Be descriptive, conversational.","HD quality (in prompt), vivid style (in prompt), natural size (in prompt)","Excellent text rendering, natural language understanding, API access, safety guardrails","Limited style control, no parameters, no negative prompts, can refuse prompts","1024x1024, 1792x1024, 1024x1792","Write like describing to a human; specify text content, font, placement explicitly; avoid keyword lists"
3,Stable Diffusion,Open Source,"SD, SDXL, ComfyUI, A1111, local, open source, LoRA","(important:1.3), normal, (less:0.8) + Negative: ugly, blurry, deformed","CFG Scale (7-12), Sampler (DPM++), Steps (20-50), LoRA, Embeddings, Weights (word:1.2)","Full control, local/private, LoRAs, inpainting, ControlNet, customizable","Learning curve, requires hardware, quality varies by model","Custom any ratio","Use (word:1.2) for emphasis; negative prompts essential; CFG 7-12; DPM++ 2M Karras sampler"
4,Flux,Open Source,"flux, schnell, dev, pro, BFL, open source, fast","Natural language, weighted prompts, --guidance scale","--guidance (strength), aspect ratio in prompt","Fast generation, good quality, natural prompts, open weights","Newer platform, fewer resources, limited community models","Various via prompt","Use natural descriptions; specify style directly; guidance scale 3.5 for balanced results"
5,Nano Banana Pro,Google,"nano banana, gemini, google, imagen, multimodal, text rendering","Narrative paragraphs. 32K context. ALL CAPS emphasis. Hex colors #9F2B68.","aspect_ratio (1:1 to 21:9), image_size (1K/2K/4K), responseModalities","Best text rendering, multimodal input (14 images), search grounding, thinking mode","Newer platform, learning curve, style consistency","1:1, 2:3, 3:2, 3:4, 4:3, 4:5, 5:4, 9:16, 16:9, 21:9","Narrative > keywords; ALL CAPS for critical; hex colors for precision; NEVER for negatives; photography terms anchor quality"
6,Imagen 4,Google,"imagen, google, photorealistic, high quality, commercial","Natural language, descriptive, aspect ratio in text","Quality level, aspect ratio specified in prompt text","Photorealistic quality, good text rendering, commercial use","Limited style range, newer platform","Various via prompt","Be descriptive; specify aspect in prompt text; use photography terminology"
7,Veo 3.1,Google,"veo, video, google, AI video, motion, cinematography","Descriptive cinematography language, camera movements, scene transitions","Duration, camera movements (pan, tilt, dolly), scene transitions (cut, fade)","Video generation, cinematography understanding, smooth motion","Video-only, newer, generation time","16:9, 9:16","Use cinematography keywords; describe camera movements explicitly; include scene transitions"
8,Ideogram,Commercial,"ideogram, text, typography, logo, creative, accurate text","Natural language with emphasis on text content and styling","Aspect ratio, magic prompt (on/off), style type","Excellent typography, good for logos, creative designs","Fewer style options, focused on text/design use cases","1:1, 16:9, 9:16, 4:3, 3:4","Describe text content precisely; specify font characteristics; great for logos and typography"
9,Leonardo AI,Commercial,"leonardo, AI, creative, finetune, custom models, game assets","Natural language + negative prompts, model selection","Models, Alchemy, PhotoReal, Fidelity, Contrast, seed","Game assets, custom model training, good controls, consistent style","Subscription tiers, model selection complexity","1:1, 16:9, 9:16, others","Use Alchemy for enhanced results; PhotoReal for photography; explore different models for styles"
10,Adobe Firefly,Commercial,"firefly, adobe, creative cloud, commercial safe, enterprise","Natural language, style references, structure references","Style intensity, effects, structure reference","Commercially safe, Adobe integration, reference images, good for design","Limited to Adobe ecosystem, conservative outputs","Various","Use for commercial projects; leverage style references; integrates with Photoshop/Illustrator"
1 STT Platform Type Keywords Prompt Style Key Parameters Strengths Limitations Aspect Ratios Best Practices
2 1 Midjourney Commercial midjourney, MJ, Discord, v6, stylize, chaos, artistic [prompt] --ar 16:9 --style raw --v 6.1 --ar (aspect), --style (raw/default), --stylize (0-1000), --chaos (0-100), --weird (0-3000), --seed, --no Artistic interpretation, consistent style, excellent composition, great for concepts No API, Discord-only, limited control, no inpainting in v6 1:1, 16:9, 9:16, 4:3, 3:2, 21:9, 2:3 Multi-prompt weighting cat::2; use /describe for reverse prompting; --style raw for photorealism
3 2 DALL-E 3 Commercial dalle, dall-e, openai, gpt-4, natural language, API Natural language description without parameters. Be descriptive, conversational. HD quality (in prompt), vivid style (in prompt), natural size (in prompt) Excellent text rendering, natural language understanding, API access, safety guardrails Limited style control, no parameters, no negative prompts, can refuse prompts 1024x1024, 1792x1024, 1024x1792 Write like describing to a human; specify text content, font, placement explicitly; avoid keyword lists
4 3 Stable Diffusion Open Source SD, SDXL, ComfyUI, A1111, local, open source, LoRA (important:1.3), normal, (less:0.8) + Negative: ugly, blurry, deformed CFG Scale (7-12), Sampler (DPM++), Steps (20-50), LoRA, Embeddings, Weights (word:1.2) Full control, local/private, LoRAs, inpainting, ControlNet, customizable Learning curve, requires hardware, quality varies by model Custom any ratio Use (word:1.2) for emphasis; negative prompts essential; CFG 7-12; DPM++ 2M Karras sampler
5 4 Flux Open Source flux, schnell, dev, pro, BFL, open source, fast Natural language, weighted prompts, --guidance scale --guidance (strength), aspect ratio in prompt Fast generation, good quality, natural prompts, open weights Newer platform, fewer resources, limited community models Various via prompt Use natural descriptions; specify style directly; guidance scale 3.5 for balanced results
6 5 Nano Banana Pro Google nano banana, gemini, google, imagen, multimodal, text rendering Narrative paragraphs. 32K context. ALL CAPS emphasis. Hex colors #9F2B68. aspect_ratio (1:1 to 21:9), image_size (1K/2K/4K), responseModalities Best text rendering, multimodal input (14 images), search grounding, thinking mode Newer platform, learning curve, style consistency 1:1, 2:3, 3:2, 3:4, 4:3, 4:5, 5:4, 9:16, 16:9, 21:9 Narrative > keywords; ALL CAPS for critical; hex colors for precision; NEVER for negatives; photography terms anchor quality
7 6 Imagen 4 Google imagen, google, photorealistic, high quality, commercial Natural language, descriptive, aspect ratio in text Quality level, aspect ratio specified in prompt text Photorealistic quality, good text rendering, commercial use Limited style range, newer platform Various via prompt Be descriptive; specify aspect in prompt text; use photography terminology
8 7 Veo 3.1 Google veo, video, google, AI video, motion, cinematography Descriptive cinematography language, camera movements, scene transitions Duration, camera movements (pan, tilt, dolly), scene transitions (cut, fade) Video generation, cinematography understanding, smooth motion Video-only, newer, generation time 16:9, 9:16 Use cinematography keywords; describe camera movements explicitly; include scene transitions
9 8 Ideogram Commercial ideogram, text, typography, logo, creative, accurate text Natural language with emphasis on text content and styling Aspect ratio, magic prompt (on/off), style type Excellent typography, good for logos, creative designs Fewer style options, focused on text/design use cases 1:1, 16:9, 9:16, 4:3, 3:4 Describe text content precisely; specify font characteristics; great for logos and typography
10 9 Leonardo AI Commercial leonardo, AI, creative, finetune, custom models, game assets Natural language + negative prompts, model selection Models, Alchemy, PhotoReal, Fidelity, Contrast, seed Game assets, custom model training, good controls, consistent style Subscription tiers, model selection complexity 1:1, 16:9, 9:16, others Use Alchemy for enhanced results; PhotoReal for photography; explore different models for styles
11 10 Adobe Firefly Commercial firefly, adobe, creative cloud, commercial safe, enterprise Natural language, style references, structure references Style intensity, effects, structure reference Commercially safe, Adobe integration, reference images, good for design Limited to Adobe ecosystem, conservative outputs Various Use for commercial projects; leverage style references; integrates with Photoshop/Illustrator

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STT,Style Name,Category,Keywords,Description,Key Characteristics,Color Palette,Best For,Platforms,Prompt Keywords
1,Photorealistic,Photography,"photo, realistic, camera, natural, authentic, real, photography","Ultra-realistic images that mimic professional photography","Natural lighting, authentic textures, camera-specific artifacts, realistic proportions","Natural colors, realistic skin tones, environmental colors","Portraits, product shots, scenes","Nano Banana, Midjourney, SD","photorealistic, ultra realistic, 8K, RAW photo, natural lighting, professional photography"
2,Cinematic,Photography,"film, movie, cinematic, dramatic, theatrical, hollywood, widescreen","Film-like imagery with dramatic lighting and composition","Anamorphic lens effects, color grading, shallow DOF, dramatic lighting, widescreen","Teal-orange, desaturated, film stock colors","Movie scenes, dramatic portraits, storytelling","Midjourney, Nano Banana","cinematic, film still, anamorphic, color graded, shallow depth of field, dramatic lighting"
3,Anime Manga,Illustration,"anime, manga, Japanese, otaku, animated, cel-shaded","Japanese animation and comic style artwork","Large expressive eyes, stylized proportions, cel shading, dynamic poses, speed lines","Vibrant, saturated, anime-typical palettes","Characters, fan art, storytelling, avatars","Midjourney, SD, Nano Banana","anime style, manga, cel shaded, Japanese animation, vibrant colors, expressive eyes"
4,3D Render,Digital,"3D, render, CGI, Blender, Cinema4D, octane, dimensional","Computer-generated 3D imagery with realistic or stylized rendering","Material reflections, global illumination, subsurface scattering, hard/soft shadows","Scene-dependent, PBR materials","Products, characters, architecture, abstract","Midjourney, SD, Nano Banana","3D render, octane render, Cinema4D, Blender, CGI, ray tracing, PBR materials"
5,Illustration,Art,"illustrated, drawn, digital art, vector, graphic, artistic","Digital or traditional illustration styles","Clean lines, stylized forms, artistic interpretation, consistent style","Style-dependent, often bold or pastel","Editorial, children's books, branding","Midjourney, DALL-E, SD","illustration, digital art, illustrated, artistic, stylized, graphic design"
6,Pixel Art,Retro,"pixel, 8-bit, 16-bit, retro, game, sprite, nostalgic","Retro video game aesthetic with visible pixels","Grid-based, limited color palette, dithering, nostalgic feel, sprite-like","Limited palette, 8-bit/16-bit colors","Games, avatars, nostalgic content","Midjourney, SD","pixel art, 8-bit, 16-bit, retro gaming, sprite, pixelated"
7,Watercolor,Traditional,"watercolor, paint, artistic, soft, flowing, traditional, aquarelle","Traditional watercolor painting aesthetic","Soft edges, color bleeds, paper texture, transparent layers, organic flow","Soft, flowing, often pastel or earthy","Portraits, landscapes, artistic content","Midjourney, SD, DALL-E","watercolor painting, aquarelle, soft edges, color bleed, paper texture, artistic"
8,Oil Painting,Traditional,"oil, painting, classical, fine art, canvas, masterpiece, textured","Classical oil painting technique","Visible brushstrokes, rich textures, layered colors, impasto, chiaroscuro","Rich, deep, Old Master palette","Portraits, landscapes, fine art","Midjourney, SD, DALL-E","oil painting, impasto, brushstrokes, classical art, canvas texture, fine art"
9,Sketch Line Art,Drawing,"sketch, line art, drawing, pencil, ink, minimal, outlined","Hand-drawn sketch or line art style","Clean or rough lines, minimal shading, crosshatching, pen/pencil textures","Monochrome, limited color","Concepts, technical, artistic","Midjourney, SD, DALL-E","sketch, line art, pencil drawing, ink drawing, hand-drawn, crosshatching"
10,Ink Chinese Style,Traditional,"ink wash, Chinese, Japanese, sumi-e, brush, traditional, Eastern","East Asian ink wash painting technique","Brush strokes, ink gradients, negative space, calligraphic elements, minimalism","Black ink, subtle grays, minimal color accents","Nature, calligraphy, cultural art","Midjourney, SD","ink wash, sumi-e, Chinese painting, brush strokes, traditional Asian art"
11,Chibi Q-Style,Illustration,"chibi, kawaii, cute, SD, super deformed, adorable, tiny","Super-deformed cute character style","Oversized head, small body, simple features, kawaii expressions, round shapes","Bright, pastel, candy colors","Mascots, stickers, merchandise","Midjourney, SD","chibi, kawaii, super deformed, cute, big head, small body, adorable"
12,Isometric,Technical,"isometric, flat, geometric, technical, diagram, 30-degree","Isometric projection technical illustration","30-degree angles, no vanishing point, geometric precision, clean lines","Often bold, flat colors","Infographics, games, technical","Midjourney, SD, DALL-E","isometric, isometric view, 30 degree angle, flat design, geometric, technical illustration"
13,Cyberpunk Sci-Fi,Genre,"cyberpunk, neon, future, sci-fi, dystopian, tech noir, blade runner","Futuristic dystopian aesthetic","Neon lights, rain-slicked streets, high-tech low-life, holographics, chrome","Neon pink, cyan, purple on dark","Sci-fi, gaming, urban","Midjourney, SD, Nano Banana","cyberpunk, neon lights, dystopian future, sci-fi, blade runner, tech noir"
14,Retro Vintage,Nostalgic,"retro, vintage, old school, nostalgia, classic, throwback, period","Nostalgic imagery from past eras","Era-specific aesthetics, grain/texture, period-accurate colors, vintage wear","Muted, sepia, era-specific palettes","Period pieces, nostalgia marketing","Midjourney, DALL-E, SD","vintage, retro, 1950s/60s/70s/80s, nostalgic, old school, period accurate"
15,Minimalism,Modern,"minimal, clean, simple, modern, white space, essential, less","Clean, essential design with maximum white space","Simple forms, limited elements, high contrast, essential details only","Monochrome, limited accent colors","Modern branding, UI/UX, editorial","Midjourney, DALL-E","minimalist, minimal, clean design, simple, white space, essential"
16,Vaporwave,Aesthetic,"vaporwave, aesthetic, 90s, glitch, synthwave, retro-futuristic, nostalgic","90s-inspired surreal aesthetic","Glitch effects, Roman statues, gradient skies, grid patterns, Japanese text","Pink, purple, cyan, sunset gradients","Music, artistic, aesthetic content","Midjourney, SD","vaporwave, aesthetic, synthwave, 90s, glitch, roman statue, sunset gradient"
17,Glassmorphism,UI,"glass, frosted, transparent, blur, modern, UI, Apple","Frosted glass UI aesthetic","Transparency, backdrop blur, subtle borders, layered depth, vibrant backgrounds","Translucent white on vibrant BG","UI mockups, modern design","Nano Banana, Midjourney","glassmorphism, frosted glass, backdrop blur, translucent, modern UI"
18,Claymorphism,UI,"clay, soft, 3D, playful, rounded, bubbly, toy-like","Soft 3D clay-like UI aesthetic","Rounded forms, soft shadows, pastel colors, toy-like appearance, friendly","Soft pastels, warm tones","Friendly apps, children's content","Midjourney, SD","claymorphism, clay 3D, soft shadows, rounded, pastel, playful"
19,Portrait Photography,Photography,"portrait, headshot, face, professional, fashion, editorial, beauty","Professional portrait photography","Lighting setups (Rembrandt, butterfly), skin detail, eye focus, composition","Natural skin tones, background depends on style","Portraits, headshots, fashion","Nano Banana, Midjourney","portrait photography, professional headshot, studio lighting, 85mm lens, bokeh"
20,Fashion Editorial,Photography,"fashion, editorial, vogue, model, haute couture, magazine, runway","High fashion magazine photography","Dramatic poses, designer clothing, artistic lighting, editorial composition","High fashion palettes, often bold or muted","Fashion, luxury, editorial","Midjourney, Nano Banana","fashion editorial, vogue, haute couture, model photography, dramatic lighting"
21,Product Commercial,Photography,"product, commercial, advertising, studio, hero shot, professional","Professional product photography","Clean isolation, material accuracy, controlled lighting, hero angles","Product-accurate, often neutral BG","E-commerce, advertising","Nano Banana, Midjourney, SD","product photography, commercial, studio lighting, white background, hero shot"
22,Landscape Nature,Photography,"landscape, nature, outdoor, scenic, wilderness, vista, environment","Natural landscape photography","Wide vistas, natural lighting, composition rules, atmospheric effects","Natural greens, blues, earth tones","Travel, nature, wallpapers","Midjourney, SD, Nano Banana","landscape photography, nature, scenic, golden hour, wide angle, vista"
23,Street Documentary,Photography,"street, documentary, candid, urban, lifestyle, real, authentic","Candid street and documentary photography","Authentic moments, urban settings, available light, spontaneous composition","Natural, urban colors","Lifestyle, journalism, authentic","Midjourney, Nano Banana","street photography, documentary, candid, urban, authentic, lifestyle"
24,Macro Close-up,Photography,"macro, close-up, detail, micro, extreme detail, texture","Extreme close-up detail photography","Shallow DOF, extreme detail, texture visibility, scale distortion","Subject-dependent","Products, nature, textures","Midjourney, SD, Nano Banana","macro photography, close-up, extreme detail, shallow depth of field, texture"
25,Ukiyo-e,Traditional,"ukiyo-e, Japanese, woodblock, Hokusai, Hiroshige, Edo, waves","Traditional Japanese woodblock print style","Flat colors, bold outlines, wave patterns, woodgrain texture, calligraphy","Prussian blue, vermilion, muted ochre","Japanese themes, artistic","Midjourney, SD","ukiyo-e, Japanese woodblock print, Hokusai, flat colors, bold outlines"
1 STT Style Name Category Keywords Description Key Characteristics Color Palette Best For Platforms Prompt Keywords
2 1 Photorealistic Photography photo, realistic, camera, natural, authentic, real, photography Ultra-realistic images that mimic professional photography Natural lighting, authentic textures, camera-specific artifacts, realistic proportions Natural colors, realistic skin tones, environmental colors Portraits, product shots, scenes Nano Banana, Midjourney, SD photorealistic, ultra realistic, 8K, RAW photo, natural lighting, professional photography
3 2 Cinematic Photography film, movie, cinematic, dramatic, theatrical, hollywood, widescreen Film-like imagery with dramatic lighting and composition Anamorphic lens effects, color grading, shallow DOF, dramatic lighting, widescreen Teal-orange, desaturated, film stock colors Movie scenes, dramatic portraits, storytelling Midjourney, Nano Banana cinematic, film still, anamorphic, color graded, shallow depth of field, dramatic lighting
4 3 Anime Manga Illustration anime, manga, Japanese, otaku, animated, cel-shaded Japanese animation and comic style artwork Large expressive eyes, stylized proportions, cel shading, dynamic poses, speed lines Vibrant, saturated, anime-typical palettes Characters, fan art, storytelling, avatars Midjourney, SD, Nano Banana anime style, manga, cel shaded, Japanese animation, vibrant colors, expressive eyes
5 4 3D Render Digital 3D, render, CGI, Blender, Cinema4D, octane, dimensional Computer-generated 3D imagery with realistic or stylized rendering Material reflections, global illumination, subsurface scattering, hard/soft shadows Scene-dependent, PBR materials Products, characters, architecture, abstract Midjourney, SD, Nano Banana 3D render, octane render, Cinema4D, Blender, CGI, ray tracing, PBR materials
6 5 Illustration Art illustrated, drawn, digital art, vector, graphic, artistic Digital or traditional illustration styles Clean lines, stylized forms, artistic interpretation, consistent style Style-dependent, often bold or pastel Editorial, children's books, branding Midjourney, DALL-E, SD illustration, digital art, illustrated, artistic, stylized, graphic design
7 6 Pixel Art Retro pixel, 8-bit, 16-bit, retro, game, sprite, nostalgic Retro video game aesthetic with visible pixels Grid-based, limited color palette, dithering, nostalgic feel, sprite-like Limited palette, 8-bit/16-bit colors Games, avatars, nostalgic content Midjourney, SD pixel art, 8-bit, 16-bit, retro gaming, sprite, pixelated
8 7 Watercolor Traditional watercolor, paint, artistic, soft, flowing, traditional, aquarelle Traditional watercolor painting aesthetic Soft edges, color bleeds, paper texture, transparent layers, organic flow Soft, flowing, often pastel or earthy Portraits, landscapes, artistic content Midjourney, SD, DALL-E watercolor painting, aquarelle, soft edges, color bleed, paper texture, artistic
9 8 Oil Painting Traditional oil, painting, classical, fine art, canvas, masterpiece, textured Classical oil painting technique Visible brushstrokes, rich textures, layered colors, impasto, chiaroscuro Rich, deep, Old Master palette Portraits, landscapes, fine art Midjourney, SD, DALL-E oil painting, impasto, brushstrokes, classical art, canvas texture, fine art
10 9 Sketch Line Art Drawing sketch, line art, drawing, pencil, ink, minimal, outlined Hand-drawn sketch or line art style Clean or rough lines, minimal shading, crosshatching, pen/pencil textures Monochrome, limited color Concepts, technical, artistic Midjourney, SD, DALL-E sketch, line art, pencil drawing, ink drawing, hand-drawn, crosshatching
11 10 Ink Chinese Style Traditional ink wash, Chinese, Japanese, sumi-e, brush, traditional, Eastern East Asian ink wash painting technique Brush strokes, ink gradients, negative space, calligraphic elements, minimalism Black ink, subtle grays, minimal color accents Nature, calligraphy, cultural art Midjourney, SD ink wash, sumi-e, Chinese painting, brush strokes, traditional Asian art
12 11 Chibi Q-Style Illustration chibi, kawaii, cute, SD, super deformed, adorable, tiny Super-deformed cute character style Oversized head, small body, simple features, kawaii expressions, round shapes Bright, pastel, candy colors Mascots, stickers, merchandise Midjourney, SD chibi, kawaii, super deformed, cute, big head, small body, adorable
13 12 Isometric Technical isometric, flat, geometric, technical, diagram, 30-degree Isometric projection technical illustration 30-degree angles, no vanishing point, geometric precision, clean lines Often bold, flat colors Infographics, games, technical Midjourney, SD, DALL-E isometric, isometric view, 30 degree angle, flat design, geometric, technical illustration
14 13 Cyberpunk Sci-Fi Genre cyberpunk, neon, future, sci-fi, dystopian, tech noir, blade runner Futuristic dystopian aesthetic Neon lights, rain-slicked streets, high-tech low-life, holographics, chrome Neon pink, cyan, purple on dark Sci-fi, gaming, urban Midjourney, SD, Nano Banana cyberpunk, neon lights, dystopian future, sci-fi, blade runner, tech noir
15 14 Retro Vintage Nostalgic retro, vintage, old school, nostalgia, classic, throwback, period Nostalgic imagery from past eras Era-specific aesthetics, grain/texture, period-accurate colors, vintage wear Muted, sepia, era-specific palettes Period pieces, nostalgia marketing Midjourney, DALL-E, SD vintage, retro, 1950s/60s/70s/80s, nostalgic, old school, period accurate
16 15 Minimalism Modern minimal, clean, simple, modern, white space, essential, less Clean, essential design with maximum white space Simple forms, limited elements, high contrast, essential details only Monochrome, limited accent colors Modern branding, UI/UX, editorial Midjourney, DALL-E minimalist, minimal, clean design, simple, white space, essential
17 16 Vaporwave Aesthetic vaporwave, aesthetic, 90s, glitch, synthwave, retro-futuristic, nostalgic 90s-inspired surreal aesthetic Glitch effects, Roman statues, gradient skies, grid patterns, Japanese text Pink, purple, cyan, sunset gradients Music, artistic, aesthetic content Midjourney, SD vaporwave, aesthetic, synthwave, 90s, glitch, roman statue, sunset gradient
18 17 Glassmorphism UI glass, frosted, transparent, blur, modern, UI, Apple Frosted glass UI aesthetic Transparency, backdrop blur, subtle borders, layered depth, vibrant backgrounds Translucent white on vibrant BG UI mockups, modern design Nano Banana, Midjourney glassmorphism, frosted glass, backdrop blur, translucent, modern UI
19 18 Claymorphism UI clay, soft, 3D, playful, rounded, bubbly, toy-like Soft 3D clay-like UI aesthetic Rounded forms, soft shadows, pastel colors, toy-like appearance, friendly Soft pastels, warm tones Friendly apps, children's content Midjourney, SD claymorphism, clay 3D, soft shadows, rounded, pastel, playful
20 19 Portrait Photography Photography portrait, headshot, face, professional, fashion, editorial, beauty Professional portrait photography Lighting setups (Rembrandt, butterfly), skin detail, eye focus, composition Natural skin tones, background depends on style Portraits, headshots, fashion Nano Banana, Midjourney portrait photography, professional headshot, studio lighting, 85mm lens, bokeh
21 20 Fashion Editorial Photography fashion, editorial, vogue, model, haute couture, magazine, runway High fashion magazine photography Dramatic poses, designer clothing, artistic lighting, editorial composition High fashion palettes, often bold or muted Fashion, luxury, editorial Midjourney, Nano Banana fashion editorial, vogue, haute couture, model photography, dramatic lighting
22 21 Product Commercial Photography product, commercial, advertising, studio, hero shot, professional Professional product photography Clean isolation, material accuracy, controlled lighting, hero angles Product-accurate, often neutral BG E-commerce, advertising Nano Banana, Midjourney, SD product photography, commercial, studio lighting, white background, hero shot
23 22 Landscape Nature Photography landscape, nature, outdoor, scenic, wilderness, vista, environment Natural landscape photography Wide vistas, natural lighting, composition rules, atmospheric effects Natural greens, blues, earth tones Travel, nature, wallpapers Midjourney, SD, Nano Banana landscape photography, nature, scenic, golden hour, wide angle, vista
24 23 Street Documentary Photography street, documentary, candid, urban, lifestyle, real, authentic Candid street and documentary photography Authentic moments, urban settings, available light, spontaneous composition Natural, urban colors Lifestyle, journalism, authentic Midjourney, Nano Banana street photography, documentary, candid, urban, authentic, lifestyle
25 24 Macro Close-up Photography macro, close-up, detail, micro, extreme detail, texture Extreme close-up detail photography Shallow DOF, extreme detail, texture visibility, scale distortion Subject-dependent Products, nature, textures Midjourney, SD, Nano Banana macro photography, close-up, extreme detail, shallow depth of field, texture
26 25 Ukiyo-e Traditional ukiyo-e, Japanese, woodblock, Hokusai, Hiroshige, Edo, waves Traditional Japanese woodblock print style Flat colors, bold outlines, wave patterns, woodgrain texture, calligraphy Prussian blue, vermilion, muted ochre Japanese themes, artistic Midjourney, SD ukiyo-e, Japanese woodblock print, Hokusai, flat colors, bold outlines

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STT,Technique,Category,Keywords,Description,When to Use,Syntax Example,Platforms,Tips
1,Emphasis Capitalization,Formatting,"caps, emphasis, important, critical, priority, MUST","Use ALL CAPS for critical requirements that must not be ignored","When specific elements are non-negotiable","MUST include blue sky. NEVER add watermarks. DO NOT modify face.","Nano Banana, DALL-E","Use sparingly - 2-3 emphasis points max; overuse dilutes impact"
2,Weighted Prompting,Control,"weight, emphasis, priority, stronger, weaker, balance","Assign numerical weights to prompt terms for relative importance","When balancing multiple elements or emphasizing specific aspects","(important term:1.3), (less important:0.7) OR cat::2 dog::1","SD, Flux, Midjourney","1.0 is default; 1.2-1.5 for emphasis; 0.5-0.8 to reduce; Midjourney uses :: syntax"
3,Negative Prompts,Refinement,"negative, avoid, exclude, remove, no, without, ban","Specify what to exclude from the generated image","To prevent common artifacts or unwanted elements","Negative: ugly, blurry, deformed, watermark, extra limbs","SD, Flux, Leonardo","Essential for SD/Flux; organize by category (anatomy, quality, style); keep concise"
4,Multi-Image Reference,Identity,"reference, identity lock, face match, style transfer, consistency","Use multiple images to maintain subject identity or style","For consistent character generation or style matching","Upload 6 object + 5 human refs (Nano Banana up to 14 images)","Nano Banana, Midjourney, SD","Collage multiple refs into single image for efficiency; specify which image for what purpose"
5,JSON Structured Prompts,Organization,"JSON, structured, organized, layered, metadata, schema","Use JSON format for complex, multi-layer prompt organization","For detailed scene descriptions with many parameters","{ ""subject"": {}, ""environment"": {}, ""camera"": {}, ""lighting"": {} }","Nano Banana, any","Helps organize complex prompts; include meta_data, subject_layer, environment_layer, composition_and_tech"
6,Narrative Description,Natural,"narrative, paragraph, story, descriptive, natural language","Write prompts as flowing paragraphs like briefing a photographer","For models that understand natural language well (32K+ context)","A professional portrait of a woman in her 30s, standing in an urban setting at golden hour...","Nano Banana, DALL-E","More effective than keyword lists for Gemini; include context, mood, and intention"
7,Photography Anchoring,Quality,"photography, camera, lens, DSLR, professional, shot","Use photography terms to anchor quality and realism","For photorealistic results and specific camera aesthetics","Captured with Canon EOS 90D, 85mm lens, f/1.8, shallow DOF, natural lighting","All platforms","Include camera model, lens, aperture, lighting setup; triggers photorealistic training data"
8,Color Precision,Accuracy,"hex, color code, precise color, #, RGB, specific color","Use hex color codes instead of vague color names","When exact colors are critical","Background: #9F2B68 (dark magenta) instead of 'dark magenta'","Nano Banana, any","Hex codes are unambiguous; include color name for context; use for brand colors"
9,Aspect Ratio Control,Composition,"aspect ratio, ar, dimensions, ratio, format, orientation","Specify exact aspect ratio for output dimensions","When specific dimensions are required","--ar 16:9 (Midjourney) OR aspect_ratio='16:9' (Nano Banana)","All platforms","Match platform requirements; 1:1 social, 9:16 stories, 16:9 widescreen, 21:9 cinematic"
10,Iterative Refinement,Workflow,"iteration, refine, version, variation, A/B test, improve","Generate variations and refine based on results","For achieving optimal results through multiple generations","Generate 4 variations → Select best → Refine weights → Upscale","All platforms","Start broad, narrow down; save seeds for reproducibility; document successful prompts"
11,Scene Layering,Composition,"foreground, midground, background, layers, depth, z-index","Describe scene in distinct depth layers","For complex scenes with depth","Foreground: cherry blossoms. Midground: person walking. Background: Mount Fuji at sunset.","All platforms","Creates visual depth; helps AI understand spatial relationships"
12,Style Mixing,Creative,"blend, mix, fusion, combine, hybrid, mashup","Combine multiple artistic styles","For unique hybrid aesthetics","Art nouveau meets cyberpunk, or '80s synthwave crossed with ukiyo-e woodblock print","Midjourney, SD, Nano Banana","Use 'meets', 'crossed with', 'fusion of'; weight styles if needed"
13,Negative Constraints,Safety,"NEVER, avoid, exclude, prohibit, ban, NO","Explicit statements of what must not appear","To prevent unwanted content or artifacts","NEVER include text or watermarks. DO NOT add any UI elements. Avoid red tones.","Nano Banana, DALL-E","More effective than negative prompts for some models; be specific and explicit"
14,Camera Movement (Video),Motion,"pan, tilt, dolly, tracking, crane, zoom, motion","Specify camera movements for video generation","For AI video generation","Slow dolly forward, then gentle pan right revealing the landscape. Fade to next scene.","Veo, video platforms","Use cinematography terms; specify speed and direction; include transitions"
15,Identity Lock,Consistency,"identity, face lock, same person, consistent, preserve","Techniques to maintain subject identity across generations","For consistent character representation","Use reference as EXACT facial reference. STRICT identity lock. NO face modification.","Nano Banana, SD (LoRA)","Upload clear reference; explicitly state preservation requirements; use JSON locks"
16,Multi-Panel Composition,Layout,"panel, grid, collage, multi-image, split, diptych","Request images with multiple panels or sections","For comics, comparisons, before/after","2x2 grid showing: [top-left description], [top-right description], [bottom-left], [bottom-right]","Nano Banana, Midjourney","Describe each panel clearly; maintain consistency across panels; specify layout (2x2, 1x3, etc.)"
17,Search Grounding,Real-time,"search, real-time, current, live data, grounding, factual","Enable real-time data for accurate current information","For current events, accurate data visualization","tools=[{'google_search': {}}] - enables real-time weather, charts, events","Nano Banana only","Use for infographics with current data; weather-accurate scenes; current event imagery"
18,Thinking Mode,Complex,"thinking, reasoning, complex, planning, elaborate","Enable AI reasoning for complex compositions","For intricate scenes requiring planning","Enable thinking mode for complex multi-character scenes with specific interactions","Nano Banana Pro only","Response includes part.thought; use for complex logic like 'kittens MUST have eyes matching fur'"
1 STT Technique Category Keywords Description When to Use Syntax Example Platforms Tips
2 1 Emphasis Capitalization Formatting caps, emphasis, important, critical, priority, MUST Use ALL CAPS for critical requirements that must not be ignored When specific elements are non-negotiable MUST include blue sky. NEVER add watermarks. DO NOT modify face. Nano Banana, DALL-E Use sparingly - 2-3 emphasis points max; overuse dilutes impact
3 2 Weighted Prompting Control weight, emphasis, priority, stronger, weaker, balance Assign numerical weights to prompt terms for relative importance When balancing multiple elements or emphasizing specific aspects (important term:1.3), (less important:0.7) OR cat::2 dog::1 SD, Flux, Midjourney 1.0 is default; 1.2-1.5 for emphasis; 0.5-0.8 to reduce; Midjourney uses :: syntax
4 3 Negative Prompts Refinement negative, avoid, exclude, remove, no, without, ban Specify what to exclude from the generated image To prevent common artifacts or unwanted elements Negative: ugly, blurry, deformed, watermark, extra limbs SD, Flux, Leonardo Essential for SD/Flux; organize by category (anatomy, quality, style); keep concise
5 4 Multi-Image Reference Identity reference, identity lock, face match, style transfer, consistency Use multiple images to maintain subject identity or style For consistent character generation or style matching Upload 6 object + 5 human refs (Nano Banana up to 14 images) Nano Banana, Midjourney, SD Collage multiple refs into single image for efficiency; specify which image for what purpose
6 5 JSON Structured Prompts Organization JSON, structured, organized, layered, metadata, schema Use JSON format for complex, multi-layer prompt organization For detailed scene descriptions with many parameters { "subject": {}, "environment": {}, "camera": {}, "lighting": {} } Nano Banana, any Helps organize complex prompts; include meta_data, subject_layer, environment_layer, composition_and_tech
7 6 Narrative Description Natural narrative, paragraph, story, descriptive, natural language Write prompts as flowing paragraphs like briefing a photographer For models that understand natural language well (32K+ context) A professional portrait of a woman in her 30s, standing in an urban setting at golden hour... Nano Banana, DALL-E More effective than keyword lists for Gemini; include context, mood, and intention
8 7 Photography Anchoring Quality photography, camera, lens, DSLR, professional, shot Use photography terms to anchor quality and realism For photorealistic results and specific camera aesthetics Captured with Canon EOS 90D, 85mm lens, f/1.8, shallow DOF, natural lighting All platforms Include camera model, lens, aperture, lighting setup; triggers photorealistic training data
9 8 Color Precision Accuracy hex, color code, precise color, #, RGB, specific color Use hex color codes instead of vague color names When exact colors are critical Background: #9F2B68 (dark magenta) instead of 'dark magenta' Nano Banana, any Hex codes are unambiguous; include color name for context; use for brand colors
10 9 Aspect Ratio Control Composition aspect ratio, ar, dimensions, ratio, format, orientation Specify exact aspect ratio for output dimensions When specific dimensions are required --ar 16:9 (Midjourney) OR aspect_ratio='16:9' (Nano Banana) All platforms Match platform requirements; 1:1 social, 9:16 stories, 16:9 widescreen, 21:9 cinematic
11 10 Iterative Refinement Workflow iteration, refine, version, variation, A/B test, improve Generate variations and refine based on results For achieving optimal results through multiple generations Generate 4 variations → Select best → Refine weights → Upscale All platforms Start broad, narrow down; save seeds for reproducibility; document successful prompts
12 11 Scene Layering Composition foreground, midground, background, layers, depth, z-index Describe scene in distinct depth layers For complex scenes with depth Foreground: cherry blossoms. Midground: person walking. Background: Mount Fuji at sunset. All platforms Creates visual depth; helps AI understand spatial relationships
13 12 Style Mixing Creative blend, mix, fusion, combine, hybrid, mashup Combine multiple artistic styles For unique hybrid aesthetics Art nouveau meets cyberpunk, or '80s synthwave crossed with ukiyo-e woodblock print Midjourney, SD, Nano Banana Use 'meets', 'crossed with', 'fusion of'; weight styles if needed
14 13 Negative Constraints Safety NEVER, avoid, exclude, prohibit, ban, NO Explicit statements of what must not appear To prevent unwanted content or artifacts NEVER include text or watermarks. DO NOT add any UI elements. Avoid red tones. Nano Banana, DALL-E More effective than negative prompts for some models; be specific and explicit
15 14 Camera Movement (Video) Motion pan, tilt, dolly, tracking, crane, zoom, motion Specify camera movements for video generation For AI video generation Slow dolly forward, then gentle pan right revealing the landscape. Fade to next scene. Veo, video platforms Use cinematography terms; specify speed and direction; include transitions
16 15 Identity Lock Consistency identity, face lock, same person, consistent, preserve Techniques to maintain subject identity across generations For consistent character representation Use reference as EXACT facial reference. STRICT identity lock. NO face modification. Nano Banana, SD (LoRA) Upload clear reference; explicitly state preservation requirements; use JSON locks
17 16 Multi-Panel Composition Layout panel, grid, collage, multi-image, split, diptych Request images with multiple panels or sections For comics, comparisons, before/after 2x2 grid showing: [top-left description], [top-right description], [bottom-left], [bottom-right] Nano Banana, Midjourney Describe each panel clearly; maintain consistency across panels; specify layout (2x2, 1x3, etc.)
18 17 Search Grounding Real-time search, real-time, current, live data, grounding, factual Enable real-time data for accurate current information For current events, accurate data visualization tools=[{'google_search': {}}] - enables real-time weather, charts, events Nano Banana only Use for infographics with current data; weather-accurate scenes; current event imagery
19 18 Thinking Mode Complex thinking, reasoning, complex, planning, elaborate Enable AI reasoning for complex compositions For intricate scenes requiring planning Enable thinking mode for complex multi-character scenes with specific interactions Nano Banana Pro only Response includes part.thought; use for complex logic like 'kittens MUST have eyes matching fur'

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STT,Use Case,Category,Keywords,Prompt Template,Key Elements,Best Platforms,Aspect Ratios,Tips,Example
1,Profile Avatar,Portrait,"avatar, profile, headshot, professional, LinkedIn, social media, portrait","A professional {style} portrait of [subject], {background}, {lighting}. High-quality, sharp focus on eyes.","Subject appearance, background, lighting style, expression","Nano Banana, Midjourney, DALL-E","1:1, 4:5","Use reference image for identity lock; specify skin texture preference","Professional LinkedIn headshot with soft daylight, blurred office background"
2,Social Media Post,Marketing,"social, Instagram, Twitter, viral, engagement, post, story, reel","A {style} image for social media showing [concept]. {composition}. Vibrant colors, eye-catching, shareable.","Main subject, brand colors, call-to-action elements, mobile-first composition","DALL-E, Midjourney, Nano Banana","1:1, 9:16, 4:5","Design for mobile viewing; use bold colors; include negative space for text overlay","Minimalist product flat-lay for Instagram with pastel background"
3,YouTube Thumbnail,Marketing,"thumbnail, YouTube, clickbait, attention, video, preview, engaging","A {style} YouTube thumbnail showing [scene]. Bold text '{text}' in {font}. High contrast, {emotion} expression.","Subject with expressive face, bold readable text, contrasting colors, clear focal point","Nano Banana, Midjourney","16:9","Use surprised/excited expressions; limit text to 3-5 words; ensure 1080p quality","Shocked reaction face with glowing background and 'YOU WON'T BELIEVE THIS' text"
4,Product Marketing,Commercial,"product, commercial, advertising, e-commerce, hero, marketing, lifestyle","A {style} product shot of [product] on {surface}. {lighting} creating {mood}. {camera_angle} view.","Product as hero, clean background, professional lighting, brand consistency","Nano Banana, DALL-E, SD","1:1, 4:3, 3:2","Use studio lighting terms; specify material reflections; include lifestyle context","Premium cosmetic bottle on marble surface with soft rim lighting"
5,E-commerce Main Image,Commercial,"e-commerce, Amazon, Shopify, product, main image, white background, listing","A clean {style} product image of [product] on pure white background. Studio lighting, multiple angles available.","Product isolation, pure white (#FFFFFF) background, consistent lighting, accurate colors","Nano Banana, SD, Midjourney","1:1, 4:3","Match platform requirements; ensure color accuracy; remove all shadows or use soft drop shadow","Wireless earbuds case on pure white background with soft shadows"
6,Infographic Visual,Educational,"infographic, educational, diagram, chart, visual, data, explainer","A {style} infographic about [topic]. Bento grid layout, {color_scheme} palette, icons for each section.","Clear hierarchy, data visualization, iconography, readable text, logical flow","Nano Banana, DALL-E","16:9, 4:3, 1:1","Use Bento grid for modules; limit to 8 sections max; ensure text legibility","Glass-style infographic about nutrition with 8 data modules"
7,Comic Storyboard,Narrative,"comic, manga, storyboard, panel, sequence, narrative, story","A {panels}-panel {style} comic showing [story]. Consistent character design, speech bubbles, {mood} atmosphere.","Panel layout, character consistency, speech bubbles, visual flow, action lines","Midjourney, SD, Nano Banana","2:3, 3:4, 16:9","Maintain character identity across panels; use manga techniques for action; clear panel boundaries","4-panel manga sequence showing character discovering a secret message"
8,Game Asset,Gaming,"game, asset, sprite, character, icon, item, UI, gaming","A {style} game asset: [item/character]. Transparent background ready, {view} view, consistent with {art_style} aesthetic.","Isolation-ready design, consistent art style, multiple states/angles, scalable","SD, Midjourney","1:1, varies","Design for transparency; create sprite sheets; maintain style consistency across assets","Pixel art treasure chest with open/closed states"
9,Poster Flyer,Print,"poster, flyer, print, event, promotional, announcement, advertising","A {style} poster for [event/product]. Headline: '{headline}', {layout} composition, {color_scheme} colors.","Typography hierarchy, visual hook, brand elements, print-ready composition","DALL-E, Midjourney, Nano Banana","3:4, 2:3, A4","Use CMYK-safe colors; ensure 300dpi concept; include bleed area concept","Vintage music festival poster with psychedelic typography and sunset gradient"
10,App Web Design,UI/UX,"app, web, UI, UX, mockup, interface, screen, dashboard","A {style} {device} mockup showing [app/website]. {color_scheme} palette, {layout} layout, modern UI elements.","Device frame, UI components, realistic content, responsive hints","Nano Banana, Midjourney, DALL-E","varies by device","Show realistic content; use design system patterns; include status bar details","iPhone mockup showing a meditation app with glassmorphism cards"
11,Quote Card,Social,"quote, inspiration, motivational, card, typography, wisdom","A {style} quote card with text: '{quote}' — {author}. {background} background, {font_style} typography.","Quote text, author attribution, decorative elements, readable font","Nano Banana, DALL-E","1:1, 4:5, 16:9","Use large quotation marks; ensure text contrast; add subtle decorative elements","Brown gradient quote card with Steve Jobs quote and portrait silhouette"
12,Header Banner,Marketing,"header, banner, hero, website, blog, article, cover","A {style} header image for [topic]. {composition}, {mood} atmosphere, horizontal format ready for text overlay.","Wide aspect ratio, focal point consideration, text-safe zones, brand alignment","DALL-E, Midjourney, Nano Banana","16:9, 21:9, 3:1","Leave negative space for text; ensure horizontal composition; consider responsive cropping","Hand-drawn style header for tech blog with blue-green gradient"
13,Character Design,Creative,"character, OC, original, design, concept, persona, avatar","A {style} character design of [description]. {pose} pose, {outfit} outfit, {personality} expression.","Full body or bust, consistent proportions, outfit details, personality expression","Midjourney, SD, Nano Banana","2:3, 3:4, 1:1","Include turnaround views; specify body proportions; describe personality through visual cues","Anime-style female character with cyberpunk outfit and neon accessories"
14,Architecture Interior,Visualization,"architecture, interior, room, space, design, rendering, visualization","A {style} {view} of [space type]. {materials} materials, {lighting} lighting, {atmosphere} atmosphere.","Spatial composition, material textures, lighting quality, furnishing details","Midjourney, SD","16:9, 4:3, 3:2","Use architectural photography terms; specify time of day; describe material finishes","Modern minimalist living room with floor-to-ceiling windows and warm afternoon light"
15,Food Photography,Commercial,"food, culinary, recipe, dish, restaurant, cooking, delicious","A {style} food photo of [dish]. {plating} presentation, {lighting} lighting, {props} styling.","Hero dish focus, complementary props, appetizing lighting, styled setting","Nano Banana, Midjourney","1:1, 4:5, 4:3","Use overhead or 45-degree angles; include human elements for scale; describe steam/freshness","Overhead shot of artisan pizza with stretchy cheese pull and rustic wooden board"
1 STT Use Case Category Keywords Prompt Template Key Elements Best Platforms Aspect Ratios Tips Example
2 1 Profile Avatar Portrait avatar, profile, headshot, professional, LinkedIn, social media, portrait A professional {style} portrait of [subject], {background}, {lighting}. High-quality, sharp focus on eyes. Subject appearance, background, lighting style, expression Nano Banana, Midjourney, DALL-E 1:1, 4:5 Use reference image for identity lock; specify skin texture preference Professional LinkedIn headshot with soft daylight, blurred office background
3 2 Social Media Post Marketing social, Instagram, Twitter, viral, engagement, post, story, reel A {style} image for social media showing [concept]. {composition}. Vibrant colors, eye-catching, shareable. Main subject, brand colors, call-to-action elements, mobile-first composition DALL-E, Midjourney, Nano Banana 1:1, 9:16, 4:5 Design for mobile viewing; use bold colors; include negative space for text overlay Minimalist product flat-lay for Instagram with pastel background
4 3 YouTube Thumbnail Marketing thumbnail, YouTube, clickbait, attention, video, preview, engaging A {style} YouTube thumbnail showing [scene]. Bold text '{text}' in {font}. High contrast, {emotion} expression. Subject with expressive face, bold readable text, contrasting colors, clear focal point Nano Banana, Midjourney 16:9 Use surprised/excited expressions; limit text to 3-5 words; ensure 1080p quality Shocked reaction face with glowing background and 'YOU WON'T BELIEVE THIS' text
5 4 Product Marketing Commercial product, commercial, advertising, e-commerce, hero, marketing, lifestyle A {style} product shot of [product] on {surface}. {lighting} creating {mood}. {camera_angle} view. Product as hero, clean background, professional lighting, brand consistency Nano Banana, DALL-E, SD 1:1, 4:3, 3:2 Use studio lighting terms; specify material reflections; include lifestyle context Premium cosmetic bottle on marble surface with soft rim lighting
6 5 E-commerce Main Image Commercial e-commerce, Amazon, Shopify, product, main image, white background, listing A clean {style} product image of [product] on pure white background. Studio lighting, multiple angles available. Product isolation, pure white (#FFFFFF) background, consistent lighting, accurate colors Nano Banana, SD, Midjourney 1:1, 4:3 Match platform requirements; ensure color accuracy; remove all shadows or use soft drop shadow Wireless earbuds case on pure white background with soft shadows
7 6 Infographic Visual Educational infographic, educational, diagram, chart, visual, data, explainer A {style} infographic about [topic]. Bento grid layout, {color_scheme} palette, icons for each section. Clear hierarchy, data visualization, iconography, readable text, logical flow Nano Banana, DALL-E 16:9, 4:3, 1:1 Use Bento grid for modules; limit to 8 sections max; ensure text legibility Glass-style infographic about nutrition with 8 data modules
8 7 Comic Storyboard Narrative comic, manga, storyboard, panel, sequence, narrative, story A {panels}-panel {style} comic showing [story]. Consistent character design, speech bubbles, {mood} atmosphere. Panel layout, character consistency, speech bubbles, visual flow, action lines Midjourney, SD, Nano Banana 2:3, 3:4, 16:9 Maintain character identity across panels; use manga techniques for action; clear panel boundaries 4-panel manga sequence showing character discovering a secret message
9 8 Game Asset Gaming game, asset, sprite, character, icon, item, UI, gaming A {style} game asset: [item/character]. Transparent background ready, {view} view, consistent with {art_style} aesthetic. Isolation-ready design, consistent art style, multiple states/angles, scalable SD, Midjourney 1:1, varies Design for transparency; create sprite sheets; maintain style consistency across assets Pixel art treasure chest with open/closed states
10 9 Poster Flyer Print poster, flyer, print, event, promotional, announcement, advertising A {style} poster for [event/product]. Headline: '{headline}', {layout} composition, {color_scheme} colors. Typography hierarchy, visual hook, brand elements, print-ready composition DALL-E, Midjourney, Nano Banana 3:4, 2:3, A4 Use CMYK-safe colors; ensure 300dpi concept; include bleed area concept Vintage music festival poster with psychedelic typography and sunset gradient
11 10 App Web Design UI/UX app, web, UI, UX, mockup, interface, screen, dashboard A {style} {device} mockup showing [app/website]. {color_scheme} palette, {layout} layout, modern UI elements. Device frame, UI components, realistic content, responsive hints Nano Banana, Midjourney, DALL-E varies by device Show realistic content; use design system patterns; include status bar details iPhone mockup showing a meditation app with glassmorphism cards
12 11 Quote Card Social quote, inspiration, motivational, card, typography, wisdom A {style} quote card with text: '{quote}' — {author}. {background} background, {font_style} typography. Quote text, author attribution, decorative elements, readable font Nano Banana, DALL-E 1:1, 4:5, 16:9 Use large quotation marks; ensure text contrast; add subtle decorative elements Brown gradient quote card with Steve Jobs quote and portrait silhouette
13 12 Header Banner Marketing header, banner, hero, website, blog, article, cover A {style} header image for [topic]. {composition}, {mood} atmosphere, horizontal format ready for text overlay. Wide aspect ratio, focal point consideration, text-safe zones, brand alignment DALL-E, Midjourney, Nano Banana 16:9, 21:9, 3:1 Leave negative space for text; ensure horizontal composition; consider responsive cropping Hand-drawn style header for tech blog with blue-green gradient
14 13 Character Design Creative character, OC, original, design, concept, persona, avatar A {style} character design of [description]. {pose} pose, {outfit} outfit, {personality} expression. Full body or bust, consistent proportions, outfit details, personality expression Midjourney, SD, Nano Banana 2:3, 3:4, 1:1 Include turnaround views; specify body proportions; describe personality through visual cues Anime-style female character with cyberpunk outfit and neon accessories
15 14 Architecture Interior Visualization architecture, interior, room, space, design, rendering, visualization A {style} {view} of [space type]. {materials} materials, {lighting} lighting, {atmosphere} atmosphere. Spatial composition, material textures, lighting quality, furnishing details Midjourney, SD 16:9, 4:3, 3:2 Use architectural photography terms; specify time of day; describe material finishes Modern minimalist living room with floor-to-ceiling windows and warm afternoon light
16 15 Food Photography Commercial food, culinary, recipe, dish, restaurant, cooking, delicious A {style} food photo of [dish]. {plating} presentation, {lighting} lighting, {props} styling. Hero dish focus, complementary props, appetizing lighting, styled setting Nano Banana, Midjourney 1:1, 4:5, 4:3 Use overhead or 45-degree angles; include human elements for scale; describe steam/freshness Overhead shot of artisan pizza with stretchy cheese pull and rustic wooden board

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# Advanced Prompt Engineering
## Prompt Optimization
### DSPy Framework
Automatic prompt optimization through:
1. Define task with input/output signatures
2. Compile with optimizer (BootstrapFewShot, MIPRO)
3. Model learns optimal prompting strategy
4. Export optimized prompts for production
### Meta-Prompting
```
You are a prompt engineer. Create 5 variations for [task]:
1. Direct instruction approach
2. Role-based approach
3. Few-shot example approach
4. Chain of thought approach
5. Constraint-focused approach
Evaluate each, select best.
```
### Self-Refinement Loop
```
Generate: [Initial response]
Critique: "What's wrong? Score 1-10."
Refine: "Fix issues, improve score."
Repeat until score ≥ 8.
```
## Prompt Chaining
### Sequential Chain
```
Chain 1: [Input] → Extract key points
Chain 2: Key points → Create outline
Chain 3: Outline → Write draft
Chain 4: Draft → Edit and polish
```
### Parallel Chain
Run independent subtasks simultaneously, merge results.
### Conditional Chain
```
If [condition A]: Execute prompt variant 1
If [condition B]: Execute prompt variant 2
Else: Execute default prompt
```
### Loop Pattern
```
While not [success condition]:
Generate attempt
Evaluate against criteria
If pass: break
Else: refine with feedback
```
## Evaluation Methods
### LLM-as-Judge
```
Rate this [output] on:
1. Accuracy (1-10)
2. Completeness (1-10)
3. Clarity (1-10)
4. Relevance (1-10)
Provide reasoning for each score.
Final: Pass/Fail threshold = 7 average.
```
### A/B Testing Protocol
1. Single variable per test
2. 20+ samples minimum
3. Score on defined criteria
4. Statistical significance check (p < 0.05)
5. Document winner, roll out
### Regression Testing
- Maintain test set of critical examples
- Run before deploying prompt changes
- Compare scores to baseline
- Block deployment if regression detected
## Agent Prompting
### Tool Use Design
```
You have access to these tools:
- search(query): Search the web
- calculate(expression): Math operations
- code(language, code): Execute code
To use: <tool_name>arguments</tool_name>
Wait for result before continuing.
```
### Planning Prompt
```
Task: [Complex goal]
Before acting:
1. Break into subtasks
2. Identify dependencies
3. Plan execution order
4. Note potential blockers
Then execute step by step.
```
### Reflection Pattern
```
After each step:
- What worked?
- What didn't?
- Adjust approach for next step.
```
## Parameter Tuning
| Parameter | Low | High | Use Case |
|-----------|-----|------|----------|
| Temperature | 0.0-0.3 | 0.7-1.0 | Factual vs Creative |
| Top-P | 0.8 | 0.95 | Focused vs Diverse |
| Top-K | 10 | 100 | Conservative vs Exploratory |
**Rule**: Tune temperature first. Only adjust top-p if needed. Never both at once.
## Safety Patterns
### Output Filtering
```
Before responding, check:
- No PII exposure
- No harmful content
- No policy violations
- Aligned with guidelines
If any fail: "I can't help with that."
```
### Jailbreak Prevention
- Clear system boundaries upfront
- Repeat constraints at end
- "Ignore previous" pattern detection
- Role-lock: "You are ONLY [role], never anything else"
### Confidence Calibration
```
For each claim, provide:
- Confidence: High/Medium/Low
- Source: [citation if available]
- Caveat: [limitations]
```
## Production Patterns
### Version Control
- Git for prompt files
- Semantic versioning (1.0.0, 1.1.0)
- Changelog per version
- Rollback capability
### Caching
- Cache common queries
- TTL based on content freshness
- Invalidate on prompt update
### Fallbacks
```
Try: Primary prompt
If fail: Simplified fallback prompt
If still fail: Human escalation
Log all failures for analysis.
```
### Cost Optimization
- Shorter prompts = fewer tokens
- Remove redundant examples
- Use smaller model for simple tasks
- Batch similar requests

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# Code Generation Patterns
## Function Implementation
```
Write a [language] function:
- Input: [params with types]
- Output: [return type]
- Behavior: [logic]
Requirements:
- Edge cases: [list]
- Error handling: [approach]
- Performance: O([complexity])
```
## Code Review
```
Review for:
1. Bugs/logic errors
2. Security vulnerabilities
3. Performance issues
4. Style violations
5. Missing edge cases
Format: Issue, line number, severity, fix.
```
## Refactoring
```
Refactor to:
- [Improvement goal]
- Maintain backward compatibility
- Keep public API
- Add comments for complex logic
Show before/after.
```
## Debugging
```
<error>[Error message/behavior]</error>
<code>[Relevant code]</code>
<context>[When it occurs]</context>
Analyze:
1. Root cause
2. Why it happens
3. Fix with explanation
4. Prevention strategy
```
## Test Generation
```
Generate tests for [function/class]:
- Framework: [jest/pytest/etc]
- Coverage: happy path, edge cases, errors
- Include: setup, assertion, cleanup
- Mock: [external dependencies]
```
## Documentation
```
Document this [function/class/API]:
- Format: [JSDoc/docstring/OpenAPI]
- Include: description, params, returns, examples
- Note: edge cases, errors, deprecations
```

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# Data & Analysis Patterns
## Structured Extraction
```
Extract from text:
<text>[content]</text>
Return JSON:
{
"field1": "value or null",
"field2": ["array"]
}
Rules:
- Exact matches only
- Confidence score if uncertain
- null for missing
```
## Document Analysis
```
Analyze [document type]:
1. Summary (2-3 sentences)
2. Key entities (people, orgs, dates)
3. Main topics (ranked)
4. Sentiment: positive/neutral/negative
5. Action items
```
## Comparison
```
Compare [A] and [B]:
| Criterion | A | B |
|-----------|---|---|
| [Factor 1] | | |
| [Factor 2] | | |
Recommendation: [choice] for [use case]
```
## Problem Solving
```
Problem: [description]
Analyze:
1. Root cause (5 whys)
2. Contributing factors
3. Options (pros/cons)
4. Recommendation
5. Implementation steps
6. Risk mitigation
```
## Data Transformation
```
Transform data:
- Input format: [CSV/JSON/etc]
- Output format: [target]
- Rules: [mapping logic]
- Validation: [constraints]
Handle: missing values, type mismatches.
```
## Summarization
```
Summarize [content]:
- Length: [sentences/words]
- Focus: [key themes]
- Audience: [technical/general]
- Preserve: [critical details]
```

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# Marketing Copy Patterns
## Headlines
```
Write 5 headline variations for [product].
Frameworks:
1. How to [benefit]
2. [Number] ways to [solve problem]
3. The secret to [outcome]
4. Why [audience] love [product]
5. [Timeframe] to [transformation]
```
## Product Descriptions
```
<product>[Name, features]</product>
<audience>[Demographics, pain points]</audience>
Write description that:
- Opens with benefit (not feature)
- Addresses [main objection]
- Social proof placeholder
- Clear CTA
- Tone: [brand voice]
- Length: [word count]
```
## Email Subject Lines
```
Generate 10 subject lines for [campaign].
Mix approaches:
- Curiosity gap
- Urgency/scarcity
- Personalization
- Question format
- Number/list
Under 50 chars. Test 2-3 with emojis.
```
## Ad Copy
```
Platform: [Google/Meta/LinkedIn]
Objective: [awareness/conversion]
Character limit: [limit]
Create [N] variations with:
- Hook (first 5 words critical)
- Value proposition
- Social proof element
- CTA matching platform norms
```
## Landing Pages
```
<offer>[Product/service]</offer>
<goal>[signup/purchase/download]</goal>
Write sections:
1. Hero headline + subhead
2. Problem agitation
3. Solution introduction
4. 3-5 benefit bullets
5. Social proof
6. CTA with urgency
7. FAQ (3 objections)
```

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# Domain-Specific Prompt Patterns
Quick reference index. Load specific domain file for detailed patterns.
## Domains
| Domain | File | Use Cases |
|--------|------|-----------|
| Marketing | `domain-marketing.md` | Headlines, product copy, emails, ads |
| Code | `domain-code.md` | Functions, review, refactoring, debugging |
| Writing | `domain-writing.md` | Stories, characters, dialogue, editing |
| Data | `domain-data.md` | Extraction, analysis, comparison, reasoning |
## Universal Pattern
All domain prompts follow:
```
<context>
[Domain-specific background]
</context>
<task>
[Specific action]
</task>
<constraints>
[Quality criteria, format, length, tone]
</constraints>
<output>
[Expected structure]
</output>
```

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# Creative Writing Patterns
## Story Outline
```
Create [length] story outline:
- Genre: [genre]
- Protagonist: [brief]
- Conflict: [type]
- Setting: [time/place]
Structure:
1. Hook/Opening
2. Inciting incident
3. Rising action (3 beats)
4. Climax
5. Resolution
```
## Character Voice
```
Write as [character]:
- Background: [history]
- Speech: [patterns, vocab]
- Emotion: [current state]
- Goal: [scene objective]
Maintain voice consistency.
```
## Dialogue
```
Write dialogue between [A] and [B]:
- Scene: [context]
- Tension: [conflict source]
- Subtext: [what's unsaid]
Each character distinct voice. Show don't tell.
```
## Scene Description
```
Describe [scene]:
- POV: [character/omniscient]
- Focus: [sensory details]
- Mood: [atmosphere]
- Pacing: [fast/slow/measured]
Use active verbs, concrete details.
```
## Editing Pass
```
Edit this [content type]:
Focus: [clarity/flow/voice/grammar]
Preserve: [author's style]
Flag: [major issues only]
Provide tracked changes with rationale.
```
## Genre Adaptation
```
Rewrite [content] as [genre]:
- Keep: core plot/message
- Add: genre conventions
- Tone: [genre-appropriate]
- Tropes: [use/subvert specific tropes]
```

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# Image Generation Prompting
## Universal Structure
```
[Subject + Details] [Action/Pose] [Setting/Environment]
[Style/Medium] [Artist/Movement Reference]
[Lighting] [Camera/Lens] [Composition]
[Quality Modifiers] [Aspect Ratio]
```
## Platform Reference
### Midjourney v6.1
```
[prompt] --ar 16:9 --style raw --v 6.1
```
| Parameter | Values | Effect |
|-----------|--------|--------|
| `--ar` | 1:1, 16:9, 9:16, 4:3, 3:2, 21:9 | Aspect ratio |
| `--style` | raw, default | raw=photorealistic |
| `--stylize` | 0-1000 | Artistic interpretation (0=literal) |
| `--chaos` | 0-100 | Variation between outputs |
| `--weird` | 0-3000 | Unusual/experimental elements |
| `--quality` | .25, .5, 1, 2 | Detail level (cost) |
| `--seed` | number | Reproducibility |
| `--no` | [term] | Negative prompt inline |
| `--tile` | - | Seamless patterns |
**Multi-prompt weighting**: `cat::2 dog::1` (cat 2x stronger)
**Describe**: Upload image → get prompt suggestions
**Blend**: `/blend` to merge 2-5 images
### DALL-E 3
- Natural language only, no parameters
- Be descriptive, not keyword-heavy
- Specify: "HD quality" or "vivid style" in prompt
- Text rendering: Describe font, placement, content explicitly
- Avoid: Lists of keywords, technical jargon
### Stable Diffusion / SDXL / Flux
```
(important term:1.3), normal term, (less important:0.8)
Negative prompt: ugly, blurry, deformed, watermark
```
| Feature | Syntax |
|---------|--------|
| Weight up | `(word:1.2)` to `(word:1.5)` |
| Weight down | `(word:0.5)` to `(word:0.8)` |
| LoRA | `<lora:model_name:0.8>` |
| Embedding | `embedding:name` |
| Blend | `[cat|dog]` alternating |
**CFG Scale**: 7-12 typical (higher=more prompt adherence)
**Samplers**: DPM++ 2M Karras (quality), Euler a (speed)
### Nano Banana (Gemini)
```
[Narrative description, not keywords]
Captured with 85mm lens, soft bokeh, natural lighting
```
**Key features**:
- 32K token context (complex prompts OK)
- Narrative paragraphs > keyword lists
- Hex colors for precision: `#9F2B68`
- Text rendering: Describe font, placement explicitly
- Multi-image: Up to 14 reference images
- Search grounding: Real-time data (weather, events)
- Thinking mode: Complex composition reasoning
**Aspect ratios**: 1:1, 2:3, 3:2, 3:4, 4:3, 4:5, 5:4, 9:16, 16:9, 21:9
**Resolution**: 1K, 2K, 4K (use uppercase K)
**Best practices**:
- ALL CAPS for critical requirements
- Markdown lists for multiple rules
- "NEVER include..." for negative constraints
- Photography terms anchor quality
### Imagen 4 / Veo 3.1
- Natural language, descriptive
- Aspect ratio in text: "16:9 landscape format"
- Veo: Cinematography keywords most powerful
- Camera movements: pan, tilt, dolly, crane, tracking
- Scene transitions: cut, fade, dissolve
## Style Keywords
### Art Movements
photorealistic, hyperrealistic, impressionist, expressionist,
surrealist, art nouveau, art deco, pop art, cyberpunk, steampunk,
solarpunk, vaporwave, synthwave, brutalist, minimalist
### Media Types
oil painting, watercolor, digital art, 3D render, vector art,
pencil sketch, ink drawing, pastel, charcoal, gouache, fresco
### Photography Styles
portrait, landscape, macro, street, documentary, fashion,
editorial, product, architectural, aerial, underwater
## Lighting Vocabulary
| Term | Effect |
|------|--------|
| Golden hour | Warm, soft, directional |
| Blue hour | Cool, moody, twilight |
| Rembrandt | Triangle on cheek, dramatic |
| Butterfly | Shadow under nose, glamorous |
| Split | Half face lit, mysterious |
| Rim/back | Edge highlight, separation |
| Volumetric | Light rays visible |
| Neon glow | Colorful, cyberpunk |
## Camera/Lens Terms
- 50mm (standard), 85mm (portrait), 35mm (wide)
- Telephoto (compressed), Macro (close-up), Fisheye (distorted)
- Shallow DOF, Deep DOF, Bokeh
- Low angle, High angle, Dutch angle, Bird's eye, Worm's eye
## Composition Keywords
rule of thirds, golden ratio, centered, symmetrical,
leading lines, framing, negative space, filling frame,
foreground interest, layered depth
## Negative Prompts (SD/Flux)
```
ugly, deformed, blurry, low quality, bad anatomy,
extra limbs, missing limbs, disfigured, watermark,
text, signature, cropped, out of frame, duplicate,
poorly drawn, bad proportions, gross proportions
```
## Iterative Workflow
1. Start: Subject + style + quality modifier
2. Add: Lighting + composition + camera
3. Test: Generate 4 variations
4. Refine: Adjust weights, add negatives
5. Upscale: Select winner, increase resolution

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# LLM Prompting Reference
## Prompt Architecture
### System Prompt Structure
```
You are [ROLE] with expertise in [DOMAIN].
## Context
[Background, constraints, tone]
## Instructions
[Step-by-step task breakdown]
## Output Format
[Exact structure with example]
## Constraints
- [Hard limits]
- [Guardrails]
```
### User Prompt Structure
```xml
<context>[Background information]</context>
<task>[Specific action required]</task>
<format>[Output structure]</format>
<constraints>[Additional limits]</constraints>
```
## Reasoning Techniques
### Chain of Thought (CoT)
| Variant | Trigger | Best For |
|---------|---------|----------|
| Zero-shot | "Think step by step" | Quick reasoning tasks |
| Few-shot | 2-3 reasoning examples | Complex multi-step |
| Auto-CoT | "Let's approach systematically" | General reasoning |
### Tree of Thoughts (ToT)
```
Explore 3 approaches to [problem]:
For each: 1) Method 2) Pros/cons 3) Success probability
Evaluate branches, select best path.
```
### Self-Consistency
Run same prompt 3-5x with temp=0.7, take majority answer. Best for: math, logic, factual.
### ReAct Pattern
```
Thought: [Current reasoning]
Action: [Tool/step to take]
Observation: [Result]
...repeat...
Final Answer: [Conclusion]
```
### Least-to-Most
```
Break [complex task] into subproblems.
Solve easiest first, build up.
```
## Instruction Optimization
### Self-Refine Pattern
```
1. Generate initial response
2. Critique: "What's wrong with this?"
3. Refine: "Fix identified issues"
4. Repeat until satisfactory
```
### Role Optimization
- **Expert persona**: "As a senior [role] with 20 years..."
- **Constraint persona**: "You only respond with..."
- **Teaching persona**: "Explain as if to a..."
### Task Decomposition
```
<subtasks>
1. [First step - output X]
2. [Second step - using X, output Y]
3. [Final step - using Y, output Z]
</subtasks>
```
## Output Control
### JSON Enforcement
```
Respond in valid JSON only:
{"field": "type", "required": true}
No markdown, no explanation, just JSON.
```
### Length Control
| Goal | Phrase |
|------|--------|
| Brief | "In 2-3 sentences" |
| Detailed | "Comprehensive analysis in 500 words" |
| Structured | "5 bullet points, max 20 words each" |
### Hallucination Reduction
- "Only use information from provided context"
- "If unsure, say 'I don't know'"
- "Cite sources for each claim"
- "Confidence: high/medium/low for each point"
## Model-Specific Tips
### Claude
- XML tags: `<thinking>`, `<answer>`, `<context>`
- Extended thinking: "Think deeply before responding"
- Prefill: Start assistant response to guide format
### GPT-4
- JSON mode: `response_format: {"type": "json_object"}`
- Function calling for structured output
- System message for persistent instructions
### Gemini
- Multimodal: Image + text in same prompt
- Grounding: Enable Google Search for facts
- Safety settings: Adjust thresholds
## Context Engineering
### RAG Prompt Pattern
```
<retrieved_context>
[Document chunks with sources]
</retrieved_context>
Answer based ONLY on context above.
If not in context, say "Not found in documents."
```
### Window Optimization
- Front-load critical info (primacy effect)
- Repeat key constraints at end (recency effect)
- Chunk long documents with summaries
## Few-Shot Examples
### Structure
```
Example 1:
Input: [representative input]
Output: [ideal output]
Example 2:
Input: [edge case]
Output: [handling]
Now apply to:
Input: [actual task]
```
### Selection Criteria
- Diverse examples > similar examples
- Include edge cases
- Match complexity of target task
- 2-5 examples optimal (diminishing returns beyond)

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# Nano Banana Pro (Gemini Image)
## Models
| Model ID | Type | Best For |
|----------|------|----------|
| `gemini-2.5-flash-image` | Flash | Speed, high-volume |
| `gemini-3-pro-image-preview` | Pro | Text rendering, complex prompts |
## Core Principle
**Narrative paragraphs > keyword lists** (32K context). Write like briefing a photographer.
## Parameters
```python
responseModalities=['TEXT', 'IMAGE']
aspect_ratio="16:9" # 1:1, 2:3, 3:2, 3:4, 4:3, 4:5, 5:4, 9:16, 16:9, 21:9
image_size="2K" # 1K, 2K, 4K - MUST be uppercase K
```
## Prompt Templates
**Photorealistic**: `A [subject] in [location], [lens] lens. [Lighting] creates [mood]. [Details]. [Camera angle]. Professional photography, natural lighting.`
**Illustration**: `[Art style] illustration of [subject]. [Color palette]. [Line style]. [Background]. [Mood].`
**Text in Image**: `Image with text "[EXACT]" in [font]. Font: [style]. Color: [hex/#FF5733]. Position: [top/center/bottom]. Background: [desc]. Context: [poster/sign].`
**Product**: `[Product] on [surface]. Materials: [finish]. Lighting: [setup]. Camera: [angle]. Background: [type]. Style: [commercial/lifestyle].`
**Infographic**: `Premium liquid glass Bento grid infographic with 8 modules. Product: [item]. Language: [lang]. Hero card: 28-30%. Background: [ethereal/macro/pattern/context].`
## Prompt Collection / Prompt Search
Read `references/awesome-prompts.csv` directly or search for relevant prompts using `python3 ../scripts/search.py "<query>"`.
## JSON Structured Prompts
For complex scenes, use JSON structure:
```json
{
"meta_data": { "prompt_version": "2.0", "use_case": "..." },
"subject_layer": {
"anatomy": { "demographics": {}, "face_detail": {}, "hair": {} },
"attire_layer": { "garment_main": {}, "accessories": {} },
"pose_dynamics": { "posture": "", "limb_placement": {} }
},
"environment_layer": { "setting_type": "", "spatial_layout": {} },
"composition_and_tech": {
"framing": { "type": "", "angle": "" },
"lighting": { "source": "", "direction": "" },
"aesthetic_style": { "visual_core": "", "vibe": "" }
}
}
```
## Techniques
| Technique | Example |
|-----------|---------|
| Emphasis | `ALL CAPS` for critical requirements |
| Precision colors | `#9F2B68` instead of "dark magenta" |
| Negative constraints | `NEVER include text/watermarks. DO NOT add labels.` |
| Realism trigger | `Natural lighting, DOF. Captured with Canon EOS 90D DSLR.` |
| Structured edits | `Make ALL edits: - [1] - [2] - [3]` |
| Complex logic | `Kittens MUST have heterochromatic eyes matching fur colors` |
| Identity lock | `Use reference as EXACT facial reference. STRICT identity lock.` |
## Advanced Features
**Multi-Image Input** (up to 14): 6 object + 5 human refs. Tip: collage refs into single image.
**Search Grounding**: `tools=[{"google_search": {}}]` — real-time data (weather, charts, events).
**Thinking Mode** (Pro only): `part.thought` in response for complex reasoning.
## Popular Use Case Templates
### Quote Card
```
A wide quote card with {background} background, {font_style} font.
Quote: "{quote_text}" — {author}
Large subtle quotation mark before text. Portrait on left, text right.
Text: 2/3 width, portrait: 1/3 width. Gradient transition on portrait.
```
### Infographic (Bento Grid)
```
Premium liquid glass Bento grid product infographic with 8 modules.
Product: [name]. Language: [lang].
1) Hero card (28-30%): Product photo/3D glass
2) Core Benefits: 4 benefits + icons
3) How to Use: 4 methods + icons
4) Key Metrics: 5 data points
5) Who It's For: 4 recommended + 3 caution groups
6) Important Notes: 4 precautions
7) Quick Reference: Specs/certifications
8) Did You Know: 3 facts
Background: Apple liquid glass cards (85-90% transparent).
```
### Mirror Selfie
```
Scene: Mirror selfie in [room type], [color] tone.
Subject: [demographics], [body type], [hairstyle].
Pose: [stance], holding smartphone.
Clothing: [detailed outfit description].
Environment: [room details, furnishings, lighting].
Camera: Smartphone rear camera via mirror, [focal length]mm.
Negative: [artifacts to avoid].
```
### Style Transformation
```
A Japanese Edo-period Ukiyo-e woodblock print reimagining [modern scene].
Characters: Edo-era kimono but modern actions.
Tech transformation: Smartphones → glowing scrolls, trains → wooden carriages.
Composition: Flattened perspective, bold ink outlines.
Texture: Wood grain, paper fibers, pigment bleeding.
Colors: Prussian blue, vermilion red, muted ochre.
Include vertical Japanese calligraphy and red artist seal.
```
## Workflow
1. Narrative description → 2. Photography terms → 3. ALL CAPS emphasis → 4. Multi-turn refine → 5. Negative constraints → 6. Set ratio/resolution
## Avoid
- Keyword spam ("4k, trending, masterpiece")
- Vague text ("add some text" → specify exact text, font, position)
- Lowercase resolution ("4k" rejected, use "4K")
- Over-smoothed skin requests (leads to plastic look)
- Generic prompts without specific details

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# Reasoning Techniques Deep Dive
## Chain of Thought (CoT) Variants
### Zero-Shot CoT
```
[Task description]
Think step by step before answering.
```
**Use when**: Quick reasoning, no examples available
**Effectiveness**: +40-60% on reasoning tasks
### Few-Shot CoT
```
Example 1:
Q: [Question]
A: Let me think through this...
Step 1: [Reasoning]
Step 2: [Reasoning]
Therefore: [Answer]
Example 2:
Q: [Question]
A: Breaking this down...
First: [Reasoning]
Next: [Reasoning]
So: [Answer]
Now solve:
Q: [Your question]
```
**Use when**: Complex reasoning, pattern demonstration needed
**Effectiveness**: +50-80% on complex tasks
### Auto-CoT
```
Let me approach this systematically:
1. Identify the key elements
2. Analyze relationships
3. Apply relevant principles
4. Draw conclusions
5. Verify my reasoning
```
**Use when**: General problem-solving, exploratory reasoning
## Tree of Thoughts (ToT)
### Implementation Pattern
```
Problem: [Complex problem]
Generate 3 different approaches:
Approach A:
- Method: [Description]
- Reasoning: [Why this might work]
- Potential issues: [Risks]
- Confidence: [1-10]
Approach B:
- Method: [Description]
- Reasoning: [Why this might work]
- Potential issues: [Risks]
- Confidence: [1-10]
Approach C:
- Method: [Description]
- Reasoning: [Why this might work]
- Potential issues: [Risks]
- Confidence: [1-10]
Evaluate branches:
- Which has highest success probability?
- Which has fewest risks?
- Which is most feasible?
Selected approach: [Best option with justification]
Execution: [Step-by-step implementation]
```
**Use when**: Strategic decisions, multiple valid paths, high-stakes problems
## Self-Consistency
### Process
1. Generate 5 responses at temp=0.7
2. Extract final answers from each
3. Take majority vote
4. Report confidence = agreement %
### Implementation
```
Run this prompt 5 times (or use n=5 parameter):
[Your reasoning task]
Think step by step and provide final answer.
Aggregate: If 4/5 agree = high confidence
If 3/5 agree = medium confidence
If split = low confidence, needs review
```
**Use when**: Math, logic, factual questions with verifiable answers
## ReAct (Reasoning + Acting)
### Full Pattern
```
Task: [Goal to achieve]
Thought 1: I need to understand the current situation.
Action 1: [Observation or tool use]
Observation 1: [Result from action]
Thought 2: Based on this, I should [next logical step].
Action 2: [Next action]
Observation 2: [Result]
Thought 3: Now I can see that [insight].
Action 3: [Verification or next step]
Observation 3: [Result]
Thought 4: I have enough information to conclude.
Final Answer: [Conclusion with reasoning]
```
**Use when**: Tool-augmented reasoning, research tasks, multi-step analysis
## Least-to-Most Prompting
### Structure
```
Complex problem: [Full problem statement]
Step 1: Decomposition
Break this into simpler subproblems, ordered from easiest to hardest:
1. [Simplest subproblem]
2. [Next subproblem, may depend on 1]
3. [Harder subproblem, may depend on 1,2]
4. [Final subproblem requiring all above]
Step 2: Sequential Solution
Subproblem 1: [Solution]
Using result from 1, Subproblem 2: [Solution]
Using results from 1,2, Subproblem 3: [Solution]
Using all results, Subproblem 4: [Solution]
Final integrated answer: [Complete solution]
```
**Use when**: Mathematical word problems, multi-step procedures, compositional tasks
## Decomposed Prompting (DECOMP)
### Pattern
```
Task: [Complex task]
Required capabilities:
- [Capability 1]: Use [specialized prompt/tool]
- [Capability 2]: Use [specialized prompt/tool]
- [Capability 3]: Use [specialized prompt/tool]
Orchestration:
1. Call [Capability 1] with [input] → get [output1]
2. Call [Capability 2] with [output1] → get [output2]
3. Call [Capability 3] with [output2] → get [final output]
Integrate results: [Final response]
```
**Use when**: Tasks requiring diverse expertise, specialized sub-tasks
## Constitutional AI Reasoning
### Self-Critique Pattern
```
Initial response: [Generated content]
Critique against principles:
- Is it helpful? [Yes/No + reasoning]
- Is it harmless? [Yes/No + reasoning]
- Is it honest? [Yes/No + reasoning]
If any No:
Revised response that addresses [specific issues]:
[Improved content]
```
## Choosing the Right Technique
| Task Type | Best Technique |
|-----------|---------------|
| Simple reasoning | Zero-shot CoT |
| Complex multi-step | Few-shot CoT |
| Strategic decisions | Tree of Thoughts |
| Factual verification | Self-Consistency |
| Tool-using tasks | ReAct |
| Word problems | Least-to-Most |
| Specialized sub-tasks | DECOMP |
| Safety-critical | Constitutional AI |

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# AI Artist Validation Workflow
Agent instructions for mandatory validation interview before image generation.
## Step 1: Parse Arguments
Extract from user input:
- **concept**: The subject/description (required)
- **--mode**: search (default), creative, or wild
- **--skip**: If present, use defaults and skip to Step 4
**Defaults for --skip mode:** Style=Photorealistic, Mood=Professional, Colors=Auto, Aspect=16:9
## Step 2: Interview User
Use `AskUserQuestion` with these 4 questions in a single call:
```json
{"questions": [
{"question": "Visual style?", "header": "Style", "multiSelect": false, "options": [
{"label": "Photorealistic (Recommended)", "description": "Professional photography, 8K"},
{"label": "Cinematic", "description": "Film-like, dramatic lighting"},
{"label": "Illustration", "description": "Digital art, stylized"},
{"label": "Minimalist", "description": "Clean, white space"}
]},
{"question": "Mood?", "header": "Mood", "multiSelect": false, "options": [
{"label": "Professional", "description": "Corporate, trustworthy"},
{"label": "Energetic", "description": "Dynamic, bold"},
{"label": "Calm", "description": "Peaceful, serene"},
{"label": "Dramatic", "description": "High contrast, intense"}
]},
{"question": "Colors?", "header": "Colors", "multiSelect": false, "options": [
{"label": "Auto-select (Recommended)", "description": "AI chooses"},
{"label": "Warm tones", "description": "Oranges, reds"},
{"label": "Cool tones", "description": "Blues, greens"},
{"label": "High contrast", "description": "Blacks, neons"}
]},
{"question": "Aspect ratio?", "header": "Ratio", "multiSelect": false, "options": [
{"label": "16:9 (Recommended)", "description": "Widescreen"},
{"label": "1:1", "description": "Square"},
{"label": "9:16", "description": "Vertical"},
{"label": "4:3", "description": "Standard"}
]}
]}
```
**Dynamic questions** (ask separately if concept matches):
- "banner/poster/thumbnail" → Ask about text space
- "product/showcase" → Ask about background preference
## Step 3: Build Prompt
Map answers to keywords:
| Style | Keywords |
|-------|----------|
| Photorealistic | photorealistic, professional photography, 8K, RAW |
| Cinematic | cinematic, film still, anamorphic, dramatic lighting |
| Illustration | digital illustration, artistic, stylized |
| Minimalist | minimalist, clean design, white space |
| Mood | Keywords |
|------|----------|
| Professional | professional, clean, corporate, polished |
| Energetic | dynamic, bold, vibrant, high energy |
| Calm | serene, peaceful, soft, tranquil |
| Dramatic | dramatic, high contrast, intense, moody |
| Colors | Keywords |
|--------|----------|
| Auto-select | (none) |
| Warm tones | warm palette, golden tones, amber |
| Cool tones | cool palette, blue tones, teal |
| High contrast | high contrast, bold blacks, neon |
**Template:** `[concept], [style], [mood], [colors]. Professional quality. NEVER add watermarks.`
## Step 4: Confirm & Generate
Show preview, then ask confirmation:
```json
{"questions": [{"question": "Generate?", "header": "Confirm", "multiSelect": false, "options": [
{"label": "Yes, generate (Recommended)", "description": "Proceed"},
{"label": "Edit prompt", "description": "Modify first"},
{"label": "Start over", "description": "Re-answer"}
]}]}
```
**If "Edit prompt":** Ask user for edited text, use that instead.
**If "Start over":** Return to Step 2.
Run generation:
```bash
cd .opencode/skills/ai-artist && .venv/bin/python3 scripts/generate.py "[concept]" \
-o ./generated-$(date +%Y%m%d-%H%M%S).png \
--mode [mode] \
-ar [ratio] \
-v
```
## Error Handling
| Error | Action |
|-------|--------|
| API key missing | Tell user to set GEMINI_API_KEY |
| Model error | Suggest `--model flash` |
| No concept | Ask user for concept |
## Output
```
[OK] Image generated: [path]
Style: [style] | Mood: [mood] | Aspect: [ratio]
Tip: Use --skip to bypass interview next time.
```

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#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
AI Artist Core - BM25 search engine for prompt engineering resources
"""
import csv
import re
from pathlib import Path
from math import log
from collections import defaultdict
# ============ CONFIGURATION ============
DATA_DIR = Path(__file__).parent.parent / "data"
MAX_RESULTS = 3
CSV_CONFIG = {
"use-case": {
"file": "use-cases.csv",
"search_cols": ["Use Case", "Category", "Keywords", "Best Platforms"],
"output_cols": ["Use Case", "Category", "Keywords", "Prompt Template", "Key Elements", "Best Platforms", "Aspect Ratios", "Tips", "Example"]
},
"style": {
"file": "styles.csv",
"search_cols": ["Style Name", "Category", "Keywords", "Description", "Best For"],
"output_cols": ["Style Name", "Category", "Description", "Key Characteristics", "Color Palette", "Best For", "Platforms", "Prompt Keywords"]
},
"platform": {
"file": "platforms.csv",
"search_cols": ["Platform", "Type", "Keywords", "Strengths"],
"output_cols": ["Platform", "Type", "Prompt Style", "Key Parameters", "Strengths", "Limitations", "Aspect Ratios", "Best Practices"]
},
"technique": {
"file": "techniques.csv",
"search_cols": ["Technique", "Category", "Keywords", "Description", "When to Use"],
"output_cols": ["Technique", "Category", "Description", "When to Use", "Syntax Example", "Platforms", "Tips"]
},
"lighting": {
"file": "lighting.csv",
"search_cols": ["Lighting Type", "Category", "Keywords", "Description", "Mood", "Best For"],
"output_cols": ["Lighting Type", "Category", "Description", "Mood", "Best For", "Prompt Keywords", "Technical Notes"]
},
"template": {
"file": "nano-banana-templates.csv",
"search_cols": ["Category", "Template Name", "Keywords"],
"output_cols": ["Category", "Template Name", "Keywords", "Prompt Template", "Aspect Ratio", "Tips"]
},
"awesome": {
"file": "awesome-prompts.csv",
"search_cols": ["title", "description", "prompt"],
"output_cols": ["id", "title", "category", "description", "prompt", "author", "source"]
}
}
# ============ BM25 IMPLEMENTATION ============
class BM25:
"""BM25 ranking algorithm for text search"""
def __init__(self, k1=1.5, b=0.75):
self.k1 = k1
self.b = b
self.corpus = []
self.doc_lengths = []
self.avgdl = 0
self.idf = {}
self.doc_freqs = defaultdict(int)
self.N = 0
def tokenize(self, text):
"""Lowercase, split, remove punctuation, filter short words"""
text = re.sub(r'[^\w\s]', ' ', str(text).lower())
return [w for w in text.split() if len(w) > 2]
def fit(self, documents):
"""Build BM25 index from documents"""
self.corpus = [self.tokenize(doc) for doc in documents]
self.N = len(self.corpus)
if self.N == 0:
return
self.doc_lengths = [len(doc) for doc in self.corpus]
self.avgdl = sum(self.doc_lengths) / self.N
for doc in self.corpus:
seen = set()
for word in doc:
if word not in seen:
self.doc_freqs[word] += 1
seen.add(word)
for word, freq in self.doc_freqs.items():
self.idf[word] = log((self.N - freq + 0.5) / (freq + 0.5) + 1)
def score(self, query):
"""Score all documents against query"""
query_tokens = self.tokenize(query)
scores = []
for idx, doc in enumerate(self.corpus):
score = 0
doc_len = self.doc_lengths[idx]
term_freqs = defaultdict(int)
for word in doc:
term_freqs[word] += 1
for token in query_tokens:
if token in self.idf:
tf = term_freqs[token]
idf = self.idf[token]
numerator = tf * (self.k1 + 1)
denominator = tf + self.k1 * (1 - self.b + self.b * doc_len / self.avgdl)
score += idf * numerator / denominator
scores.append((idx, score))
return sorted(scores, key=lambda x: x[1], reverse=True)
# ============ SEARCH FUNCTIONS ============
def _load_csv(filepath):
"""Load CSV and return list of dicts"""
with open(filepath, 'r', encoding='utf-8') as f:
return list(csv.DictReader(f))
def _search_csv(filepath, search_cols, output_cols, query, max_results):
"""Core search function using BM25"""
if not filepath.exists():
return []
data = _load_csv(filepath)
# Build documents from search columns
documents = [" ".join(str(row.get(col, "")) for col in search_cols) for row in data]
# BM25 search
bm25 = BM25()
bm25.fit(documents)
ranked = bm25.score(query)
# Get top results with score > 0
results = []
for idx, score in ranked[:max_results]:
if score > 0:
row = data[idx]
results.append({col: row.get(col, "") for col in output_cols if col in row})
return results
def detect_domain(query):
"""Auto-detect the most relevant domain from query"""
query_lower = query.lower()
domain_keywords = {
"use-case": ["avatar", "profile", "thumbnail", "poster", "social", "youtube", "instagram", "marketing", "product", "e-commerce", "infographic", "comic", "game", "app", "web", "header", "banner"],
"style": ["style", "aesthetic", "photorealistic", "anime", "manga", "3d", "render", "illustration", "pixel", "watercolor", "oil", "cyberpunk", "vaporwave", "minimalist", "vintage", "retro"],
"platform": ["midjourney", "dalle", "dall-e", "stable diffusion", "flux", "nano banana", "gemini", "imagen", "ideogram", "leonardo", "firefly", "platform", "tool"],
"technique": ["prompt", "technique", "weight", "emphasis", "negative", "json", "structured", "iteration", "reference", "identity", "multi-panel", "search grounding"],
"lighting": ["lighting", "light", "shadow", "golden hour", "blue hour", "rembrandt", "butterfly", "neon", "volumetric", "softbox", "rim light", "studio"]
}
scores = {domain: sum(1 for kw in keywords if kw in query_lower) for domain, keywords in domain_keywords.items()}
best = max(scores, key=scores.get)
return best if scores[best] > 0 else "style"
def search(query, domain=None, max_results=MAX_RESULTS):
"""Main search function with auto-domain detection"""
if domain is None:
domain = detect_domain(query)
config = CSV_CONFIG.get(domain, CSV_CONFIG["style"])
filepath = DATA_DIR / config["file"]
if not filepath.exists():
return {"error": f"File not found: {filepath}", "domain": domain}
results = _search_csv(filepath, config["search_cols"], config["output_cols"], query, max_results)
return {
"domain": domain,
"query": query,
"file": config["file"],
"count": len(results),
"results": results
}
def search_all_domains(query, max_per_domain=2):
"""Search across all domains for comprehensive results"""
all_results = {}
for domain in CSV_CONFIG.keys():
result = search(query, domain, max_per_domain)
if result.get("count", 0) > 0:
all_results[domain] = result
return all_results

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#!/usr/bin/env python3
"""Extract all prompts from awesome-nano-banana-pro-prompts.md into CSV."""
import re
import csv
from pathlib import Path
def extract_prompts(md_content: str) -> list[dict]:
"""Extract all prompts with their metadata."""
prompts = []
# Split by prompt entries (### No. X:)
entries = re.split(r'### No\. \d+:', md_content)
for i, entry in enumerate(entries[1:], 1): # Skip content before first entry
prompt_data = {
"id": i,
"title": "",
"category": "",
"description": "",
"prompt": "",
"author": "",
"source": "",
}
# Extract title (first line after split)
title_match = re.search(r'^([^\n]+)', entry.strip())
if title_match:
prompt_data["title"] = title_match.group(1).strip()
# Extract category from badges
categories = re.findall(r'!\[([^\]]+)\]\([^)]+badge[^)]*\)', entry)
if categories:
# Filter out non-category badges
cats = [c for c in categories if c not in ["Featured", "Raycast", "Language-ZH", "Language-EN", "Language-JA"]]
prompt_data["category"] = ", ".join(cats[:3]) if cats else ""
# Extract description
desc_match = re.search(r'#### 📖 Description\s*\n\n([^\n#]+)', entry)
if desc_match:
prompt_data["description"] = desc_match.group(1).strip()
# Extract prompt (between ``` markers after "#### 📝 Prompt")
prompt_section = re.search(r'#### 📝 Prompt\s*\n\n```[^\n]*\n(.*?)```', entry, re.DOTALL)
if prompt_section:
prompt_data["prompt"] = prompt_section.group(1).strip()
# Extract author
author_match = re.search(r'\*\*Author:\*\*\s*\[([^\]]+)\]', entry)
if author_match:
prompt_data["author"] = author_match.group(1).strip()
# Extract source URL
source_match = re.search(r'\*\*Source:\*\*\s*\[([^\]]+)\]\(([^)]+)\)', entry)
if source_match:
prompt_data["source"] = source_match.group(2).strip()
if prompt_data["prompt"]: # Only add if we found a prompt
prompts.append(prompt_data)
return prompts
def save_to_csv(prompts: list[dict], output_path: Path):
"""Save prompts to CSV file."""
fieldnames = ["id", "title", "category", "description", "prompt", "author", "source"]
with open(output_path, 'w', newline='', encoding='utf-8') as f:
writer = csv.DictWriter(f, fieldnames=fieldnames, quoting=csv.QUOTE_ALL)
writer.writeheader()
for p in prompts:
writer.writerow(p)
print(f"Saved {len(prompts)} prompts to {output_path}")
def main():
script_dir = Path(__file__).parent
md_path = script_dir.parent / "references" / "awesome-nano-banana-pro-prompts.md"
csv_path = script_dir.parent / "data" / "awesome-prompts.csv"
print(f"Reading from: {md_path}")
with open(md_path, 'r', encoding='utf-8') as f:
content = f.read()
prompts = extract_prompts(content)
print(f"Extracted {len(prompts)} prompts")
# Print sample
if prompts:
print("\nSample prompts:")
for p in prompts[:3]:
print(f"\n[{p['id']}] {p['title'][:50]}...")
print(f" Category: {p['category']}")
print(f" Prompt: {p['prompt'][:100]}...")
save_to_csv(prompts, csv_path)
if __name__ == "__main__":
main()

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#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
AI Artist Generate - Nano Banana image generation with 3 creative modes
Uses 129 actual prompts from awesome-nano-banana-pro-prompts collection.
Usage:
python generate.py "<concept>" --output <path.png> [options]
Modes:
--mode search : Find best matching prompt (default)
--mode creative : Remix elements from multiple prompts
--mode wild : AI-enhanced out-of-the-box interpretation
--mode all : Generate all 3 variations
"""
import argparse
import sys
import os
import re
import random
from pathlib import Path
# Add parent for core imports
sys.path.insert(0, str(Path(__file__).parent))
from core import search
# Gemini API setup
CLAUDE_ROOT = Path.home() / '.claude'
sys.path.insert(0, str(CLAUDE_ROOT / 'scripts'))
PROJECT_CLAUDE = Path(__file__).parent.parent.parent.parent
sys.path.insert(0, str(PROJECT_CLAUDE / 'scripts'))
try:
from resolve_env import resolve_env
CENTRALIZED_RESOLVER = True
except ImportError:
CENTRALIZED_RESOLVER = False
try:
from dotenv import load_dotenv
load_dotenv(Path.home() / '.claude' / '.env')
load_dotenv(Path.home() / '.claude' / 'skills' / '.env')
except ImportError:
pass
try:
from google import genai
from google.genai import types
GENAI_AVAILABLE = True
except ImportError:
GENAI_AVAILABLE = False
# ============ CONFIGURATION ============
NANO_BANANA_MODELS = {
"flash2": "gemini-3.1-flash-image-preview", # Nano Banana 2 (new default)
"flash": "gemini-2.5-flash-image",
"pro": "gemini-3-pro-image-preview",
}
DEFAULT_MODEL = "flash2"
ASPECT_RATIOS = ["1:1", "2:3", "3:2", "3:4", "4:3", "4:5", "5:4", "9:16", "16:9", "21:9"]
def get_api_key() -> str:
"""Get Gemini API key from environment."""
if CENTRALIZED_RESOLVER:
return resolve_env('GEMINI_API_KEY', skill='ai-multimodal')
return os.getenv('GEMINI_API_KEY')
def adapt_prompt(template_prompt: str, concept: str, **kwargs) -> str:
"""Adapt a template prompt to the user's concept.
Intelligently replaces variables and adapts the prompt while keeping
the original structure and Nano Banana narrative style.
"""
prompt = template_prompt
# Replace common variable patterns
replacements = {
# Raycast-style arguments
r'\{argument name="[^"]*" default="[^"]*"\}': concept,
r'\{argument name=[^}]+\}': concept,
# Bracket variables
r'\[insert [^\]]+\]': concept,
r'\[subject\]': concept,
r'\[concept\]': concept,
r'\[topic\]': concept,
r'\[product\]': concept,
r'\[scene\]': concept,
r'\[description\]': concept,
# Generic placeholders
r'\{[^}]+\}': lambda m: kwargs.get(m.group(0)[1:-1], concept),
}
for pattern, replacement in replacements.items():
if callable(replacement):
prompt = re.sub(pattern, replacement, prompt, flags=re.IGNORECASE)
else:
prompt = re.sub(pattern, replacement, prompt, flags=re.IGNORECASE)
# Ensure negative constraints exist (Nano Banana style)
if "NEVER" not in prompt and "DO NOT" not in prompt:
prompt += " NEVER add watermarks or unwanted text. DO NOT include labels."
return prompt
def mode_search(concept: str, verbose: bool = False) -> tuple[str, dict]:
"""Mode 1: Find best matching prompt from awesome collection."""
result = search(concept, "awesome", 1)
if result.get("count", 0) > 0:
match = result["results"][0]
prompt = adapt_prompt(match["prompt"], concept)
if verbose:
print(f" [SEARCH] Matched: {match['title'][:60]}...")
print(f" Author: {match.get('author', 'Unknown')}")
return prompt, {"mode": "search", "match": match}
# Fallback to basic prompt
prompt = f"A professional image of {concept}. High quality, detailed. Professional photography. NEVER add watermarks."
return prompt, {"mode": "search", "match": None}
def mode_creative(concept: str, verbose: bool = False) -> tuple[str, dict]:
"""Mode 2: Creative remix - combine elements from multiple prompts."""
# Get top 3 matches
result = search(concept, "awesome", 3)
matches = result.get("results", [])
if len(matches) < 2:
return mode_search(concept, verbose)
# Extract key elements from each prompt
elements = []
for m in matches:
prompt = m.get("prompt", "")
# Extract style descriptions, lighting, composition hints
if "style" in prompt.lower() or "lighting" in prompt.lower():
elements.append(prompt[:200])
if verbose:
print(f" [CREATIVE] Remixing {len(matches)} prompts:")
for m in matches:
print(f" - {m['title'][:50]}...")
# Build creative remix
base = matches[0]["prompt"]
style_hints = []
# Extract style from second match
if len(matches) > 1:
m2 = matches[1]["prompt"]
style_match = re.search(r'(style[^.]+\.)', m2, re.IGNORECASE)
if style_match:
style_hints.append(style_match.group(1))
# Extract lighting/mood from third match
if len(matches) > 2:
m3 = matches[2]["prompt"]
light_match = re.search(r'(lighting[^.]+\.)', m3, re.IGNORECASE)
if light_match:
style_hints.append(light_match.group(1))
# Adapt and enhance
prompt = adapt_prompt(base, concept)
if style_hints:
prompt += " " + " ".join(style_hints)
return prompt, {"mode": "creative", "matches": [m["title"] for m in matches]}
def mode_wild(concept: str, verbose: bool = False) -> tuple[str, dict]:
"""Mode 3: Wild/Out-of-the-box - AI-enhanced creative interpretation."""
result = search(concept, "awesome", 5)
matches = result.get("results", [])
# Creative transformations
transformations = [
"reimagined as a Japanese Ukiyo-e woodblock print with Prussian blue and vermilion",
"transformed into a premium liquid glass Bento grid infographic",
"captured as a vintage 1800s patent document with technical drawings",
"rendered as a surreal dreamscape with volumetric god rays",
"depicted in cyberpunk neon aesthetic with holographic elements",
"illustrated as a hand-drawn chalkboard explanation",
"visualized as an isometric 3D diorama with miniature figures",
"presented as a cinematic movie poster with dramatic lighting",
"created as a vaporwave aesthetic with glitch effects and Roman statues",
"designed as a premium Apple-style product showcase",
]
# Pick random transformation
transform = random.choice(transformations)
if matches:
# Use structure from a random match but apply wild transformation
base = random.choice(matches)
prompt = f"{concept}, {transform}. "
# Extract any technical camera/quality settings from matched prompt
tech_match = re.search(r'(\d+mm lens|f/[\d.]+|Canon|Nikon|professional photography)', base["prompt"])
if tech_match:
prompt += f"Shot with {tech_match.group(1)}. "
if verbose:
print(f" [WILD] Transform: {transform}")
print(f" Based on: {base['title'][:50]}...")
else:
prompt = f"{concept}, {transform}. Professional quality."
prompt += " NEVER add watermarks. DO NOT include unwanted text."
return prompt, {"mode": "wild", "transformation": transform}
def generate_image(
prompt: str,
output_path: str,
model: str = DEFAULT_MODEL,
aspect_ratio: str = "1:1",
size: str = "2K",
verbose: bool = False
) -> dict:
"""Generate image using Nano Banana (Gemini image models)."""
if not GENAI_AVAILABLE:
return {"status": "error", "error": "google-genai not installed. Run: pip install google-genai"}
api_key = get_api_key()
if not api_key:
return {"status": "error", "error": "GEMINI_API_KEY not found"}
model_id = NANO_BANANA_MODELS.get(model, model)
if verbose:
print(f"\n[Nano Banana Generation]")
print(f" Model: {model_id}")
print(f" Aspect: {aspect_ratio}")
print(f" Prompt: {prompt[:100]}...")
try:
client = genai.Client(api_key=api_key)
# Build config
image_config_args = {'aspect_ratio': aspect_ratio}
if 'pro' in model_id.lower() and size:
image_config_args['image_size'] = size
config = types.GenerateContentConfig(
response_modalities=['IMAGE'],
image_config=types.ImageConfig(**image_config_args)
)
response = client.models.generate_content(
model=model_id,
contents=[prompt],
config=config
)
output_file = Path(output_path)
output_file.parent.mkdir(parents=True, exist_ok=True)
if hasattr(response, 'candidates') and response.candidates:
for part in response.candidates[0].content.parts:
if part.inline_data:
with open(output_file, 'wb') as f:
f.write(part.inline_data.data)
if verbose:
print(f" Generated: {output_file}")
return {"status": "success", "output": str(output_file), "model": model_id}
return {"status": "error", "error": "No image in response"}
except Exception as e:
return {"status": "error", "error": str(e)}
def main():
parser = argparse.ArgumentParser(
description="AI Artist Generate - Nano Banana with 3 creative modes",
formatter_class=argparse.RawDescriptionHelpFormatter,
epilog="""
Modes:
search : Find best matching prompt from 129 curated prompts (default)
creative : Remix elements from multiple matching prompts
wild : AI-enhanced out-of-the-box creative interpretation
all : Generate all 3 variations
Examples:
# Search mode (default)
python generate.py "tech conference banner" -o banner.png
# Creative remix
python generate.py "AI workshop" -o workshop.png --mode creative
# Wild/experimental
python generate.py "product showcase" -o product.png --mode wild
# Generate all 3 variations
python generate.py "futuristic city" -o city.png --mode all
"""
)
parser.add_argument("concept", help="Core concept/subject to generate")
parser.add_argument("--output", "-o", required=True, help="Output image path")
parser.add_argument("--mode", "-m", choices=["search", "creative", "wild", "all"],
default="search", help="Generation mode")
parser.add_argument("--model", choices=list(NANO_BANANA_MODELS.keys()),
default=DEFAULT_MODEL, help="Model: flash2 (default, Nano Banana 2), flash, or pro")
parser.add_argument("--aspect-ratio", "-ar", choices=ASPECT_RATIOS, default="1:1")
parser.add_argument("--size", choices=["1K", "2K", "4K"], default="2K")
parser.add_argument("--verbose", "-v", action="store_true")
parser.add_argument("--show-prompt", action="store_true", help="Print generated prompt")
parser.add_argument("--dry-run", action="store_true", help="Build prompt without generating")
args = parser.parse_args()
if args.verbose:
print(f"[Concept: {args.concept}]")
# Determine modes to run
modes = ["search", "creative", "wild"] if args.mode == "all" else [args.mode]
for mode in modes:
if args.verbose or len(modes) > 1:
print(f"\n{'='*50}")
print(f"[Mode: {mode.upper()}]")
# Build prompt based on mode
if mode == "search":
prompt, meta = mode_search(args.concept, args.verbose)
elif mode == "creative":
prompt, meta = mode_creative(args.concept, args.verbose)
elif mode == "wild":
prompt, meta = mode_wild(args.concept, args.verbose)
if args.show_prompt or args.verbose:
print(f"\n[Prompt]\n{prompt}\n")
if args.dry_run:
print("[Dry run - no generation]")
continue
# Generate output path for mode
output_path = args.output
if len(modes) > 1:
base = Path(args.output)
output_path = str(base.parent / f"{base.stem}-{mode}{base.suffix}")
result = generate_image(
prompt=prompt,
output_path=output_path,
model=args.model,
aspect_ratio=args.aspect_ratio,
size=args.size,
verbose=args.verbose
)
if result["status"] == "success":
print(f"✓ Generated: {result['output']}")
else:
print(f"✗ Error: {result['error']}")
if __name__ == "__main__":
main()

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#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
AI Artist Search - BM25 search engine for prompt engineering resources
Usage: python search.py "<query>" [--domain <domain>] [--max-results 3]
python search.py "<query>" --prompt-system [--platform <platform>]
Domains: use-case, style, platform, technique, lighting
Platforms: midjourney, dalle, sd, flux, nano-banana
"""
import argparse
import sys
from core import CSV_CONFIG, MAX_RESULTS, search, search_all_domains
# Fix Windows cp1252 encoding: hardcoded emojis can't encode on Windows.
# Reconfigure stdout to UTF-8 with replacement (Python 3.7+).
if sys.stdout.encoding and sys.stdout.encoding.lower() != "utf-8":
if hasattr(sys.stdout, 'reconfigure'):
sys.stdout.reconfigure(encoding="utf-8", errors="replace")
def format_output(result):
"""Format results for Claude consumption (token-optimized)"""
if "error" in result:
return f"Error: {result['error']}"
output = []
output.append(f"## AI Artist Search Results")
output.append(f"**Domain:** {result['domain']} | **Query:** {result['query']}")
output.append(f"**Source:** {result['file']} | **Found:** {result['count']} results\n")
for i, row in enumerate(result['results'], 1):
output.append(f"### Result {i}")
for key, value in row.items():
value_str = str(value)
if len(value_str) > 400:
value_str = value_str[:400] + "..."
output.append(f"- **{key}:** {value_str}")
output.append("")
return "\n".join(output)
def generate_prompt_system(query, platform=None):
"""Generate a comprehensive prompt system for a given concept"""
output = []
output.append(f"## 🎨 AI Artist Prompt System")
output.append(f"**Concept:** {query}")
if platform:
output.append(f"**Target Platform:** {platform}")
output.append("")
# Search relevant domains
use_case = search(query, "use-case", 1)
style = search(query, "style", 2)
lighting = search(query, "lighting", 1)
technique = search(query, "technique", 2)
# Use case / Template
if use_case.get("count", 0) > 0:
uc = use_case["results"][0]
output.append("### 📋 Use Case Match")
output.append(f"**{uc.get('Use Case', 'N/A')}** ({uc.get('Category', '')})")
if uc.get("Prompt Template"):
output.append(f"**Template:** `{uc.get('Prompt Template')}`")
if uc.get("Key Elements"):
output.append(f"**Key Elements:** {uc.get('Key Elements')}")
if uc.get("Tips"):
output.append(f"**Tips:** {uc.get('Tips')}")
output.append("")
# Styles
if style.get("count", 0) > 0:
output.append("### 🎭 Recommended Styles")
for s in style["results"]:
output.append(f"**{s.get('Style Name', 'N/A')}** - {s.get('Description', '')}")
if s.get("Prompt Keywords"):
output.append(f" Keywords: `{s.get('Prompt Keywords')}`")
output.append("")
# Lighting
if lighting.get("count", 0) > 0:
lt = lighting["results"][0]
output.append("### 💡 Lighting Suggestion")
output.append(f"**{lt.get('Lighting Type', 'N/A')}** - {lt.get('Description', '')}")
output.append(f" Mood: {lt.get('Mood', '')} | Keywords: `{lt.get('Prompt Keywords', '')}`")
output.append("")
# Techniques
if technique.get("count", 0) > 0:
output.append("### 🔧 Relevant Techniques")
for t in technique["results"]:
output.append(f"**{t.get('Technique', 'N/A')}**: {t.get('Description', '')}")
if t.get("Syntax Example"):
output.append(f" Example: `{t.get('Syntax Example')}`")
output.append("")
# Platform-specific tips
if platform:
plat = search(platform, "platform", 1)
if plat.get("count", 0) > 0:
p = plat["results"][0]
output.append(f"### 🖥️ {p.get('Platform', '')} Tips")
output.append(f"**Prompt Style:** {p.get('Prompt Style', '')}")
output.append(f"**Key Parameters:** {p.get('Key Parameters', '')}")
output.append(f"**Best Practices:** {p.get('Best Practices', '')}")
output.append("")
return "\n".join(output)
if __name__ == "__main__":
parser = argparse.ArgumentParser(description="AI Artist Search")
parser.add_argument("query", help="Search query")
parser.add_argument("--domain", "-d", choices=list(CSV_CONFIG.keys()), help="Search domain")
parser.add_argument("--max-results", "-n", type=int, default=MAX_RESULTS, help="Max results (default: 3)")
parser.add_argument("--json", action="store_true", help="Output as JSON")
# Prompt system generation
parser.add_argument("--prompt-system", "-ps", action="store_true", help="Generate comprehensive prompt system")
parser.add_argument("--platform", "-p", type=str, default=None, help="Target platform for prompt system")
parser.add_argument("--all", "-a", action="store_true", help="Search all domains")
args = parser.parse_args()
# Prompt system generation
if args.prompt_system:
result = generate_prompt_system(args.query, args.platform)
print(result)
# Search all domains
elif args.all:
results = search_all_domains(args.query, args.max_results)
if args.json:
import json
print(json.dumps(results, indent=2, ensure_ascii=False))
else:
for domain, result in results.items():
print(format_output(result))
print("---\n")
# Domain search
else:
result = search(args.query, args.domain, args.max_results)
if args.json:
import json
print(json.dumps(result, indent=2, ensure_ascii=False))
else:
print(format_output(result))