Image Style for AI: Complete Guide to Midjourney SREF, Nano Banana Modes & 100+ Styles

TL;DR
Mastering image style for AI requires understanding platform-specific tools like Midjourney’s SREF codes and Nano Banana’s effect modes. This guide covers 100+ art styles, advanced prompt engineering techniques, and practical workflows for creating stunning AI-generated artwork. Whether you’re a beginner or experienced creator, learn how to achieve consistent, professional results across any artistic aesthetic.
1. Understanding AI Style Systems
Different AI image generators approach style in unique ways. Understanding these systems is crucial for achieving your desired aesthetic.
1.1 How Major AI Tools Handle Style
| Platform | Style System | Key Feature | Best For |
|---|---|---|---|
| Midjourney | SREF codes + parameters | Precise style referencing | Complex artistic styles |
| Nano Banana | Effect modes | Four distinct rendering engines | Quick style selection |
| DALL-E | Natural language | Conversational style description | Beginner-friendly |
| Stable Diffusion | LoRA/Checkpoints | Custom model training | Advanced users |
1.2 Style Consistency Across Platforms
Achieving consistent style across different tools requires understanding:
- Style translation: Converting Midjourney’s SREF to Nano Banana’s mode selection
- Prompt adaptation: Adjusting language for each platform’s training
- Cross-platform workflows: Using outputs from one tool as style references for another
1.3 Style Evolution in 2026
Recent developments in AI art include:
- Real-time style adaptation based on feedback
- Community-driven SREF libraries
- AI-native aesthetic movements
- Improved style-subject separation
2. Midjourney Style Mastery: SREF & Parameters

2.1 Understanding Midjourney SREF (Style Reference)
SREF (Style Reference) is Midjourney’s powerful system for applying consistent aesthetics across generations.
How SREF Works:
- Upload or reference an image with desired style
- Midjourney extracts style characteristics
- Apply to new subjects while maintaining aesthetic consistency
Basic SREF Syntax:
/imagine prompt: your subject here --sref [IMAGE_URL_OR_CODE]
Example with Style Weight:
/imagine prompt: portrait of a musician --sref 3849201738 --sw 200
2.2 Key Midjourney Style Parameters
| Parameter | Range | Effect | When to Use |
|---|---|---|---|
--s / --stylize | 0-1000 | Aesthetic intensity | Higher for artistic, lower for literal |
--sref | URL/code | Style reference | Consistent style across images |
--sw | 0-1000 | Style weight strength | Control how much SREF influences output |
--niji | 6 | Anime-specific model | Japanese animation styles |
--style raw | - | Reduced Midjourney aesthetic | Photorealistic work |
Parameter Combinations:
For Photorealism:
--style raw --s 250 --sref [photo-reference]
For Artistic Styles:
--s 750 --sref [art-reference] --sw 300
For Anime:
--niji 6 --sref [anime-reference]
2.3 Midjourney Style Categories
Photographic Styles
Studio Photography:
professional studio portrait, dramatic lighting, 85mm lens,
f/1.8 aperture, softbox lighting, neutral background --style raw --s 250
Cinematic Styles:
cinematic composition, film grain, anamorphic lens flare,
Kodak Vision3 500T color grading, moody atmosphere --s 500
Street Photography:
documentary street photography, 35mm lens, natural lighting,
candid moment, urban environment --style raw
Artistic Styles
Oil Painting:
classical oil painting, visible brushstrokes, rich impasto texture,
Renaissance lighting, canvas texture --s 750 --sref [classical-painting]
Watercolor:
delicate watercolor painting, fluid washes, paper texture,
soft edges, luminous quality --s 500
Digital Art:
professional digital painting, concept art style, detailed rendering,
ArtStation trending, vibrant colors --s 750
2.4 Advanced Midjourney Style Techniques
Combining Multiple SREF Codes:
/imagine prompt: fantasy landscape --sref 1234567890 9876543210 --sw 150 200
Style + Subject Isolation:
/imagine prompt: [subject description] ::2 [style description] ::1
--sref [style-reference] --sw 250
Iterative Style Refinement:
- Generate initial image with basic style
- Use output as SREF for next generation
- Adjust
--swto fine-tune influence - Repeat until desired aesthetic achieved
3. Nano Banana Style System: Effect Modes Deep Dive

3.1 Understanding Nano Banana Effect Modes
Nano Banana organizes styles into four core effect modes, each optimized for specific artistic outcomes:
| Mode | Best For |
|---|---|
| Photorealistic | Portraits, products, lifestyle |
| Hand-drawn | Illustrations, artistic work |
| Scientific | Technical, educational content |
| Other | Experimental, hybrid styles |
3.2 Photorealistic Mode
Characteristics:
- Hyper-realistic rendering with accurate skin textures
- Natural lighting simulation
- Professional photography aesthetics
- Material and surface accuracy
Best Use Cases:
- Professional portraits and headshots
- Product photography
- Fashion and beauty imagery
- Lifestyle and editorial content
Prompt Techniques:
Mode: Photorealistic
Prompt: professional portrait, natural window lighting, 85mm lens,
subtle skin texture, shallow depth of field, lifestyle photography aesthetic
Optimization Tips:
- Specify lighting conditions for best results
- Include camera/lens information for photorealistic accuracy
- Use environment descriptors to control background
3.3 Hand-drawn Mode
Characteristics:
- Artistic illustration quality with visible brushwork
- Traditional media simulation (pencil, ink, watercolor)
- Expressive line quality
- Organic, hand-crafted aesthetics
Best Use Cases:
- Children’s book illustrations
- Editorial and magazine art
- Concept sketches and storyboards
- Artistic portraits and character art
Prompt Techniques:
Mode: Hand-drawn
Prompt: watercolor illustration, loose brushstrokes, paper texture,
soft color blending, children's book style, whimsical and charming
Medium Specifications:
- Pencil/Graphite: “sketch style, graphite texture, shading studies”
- Ink: “ink wash painting, bold line work, cross-hatching”
- Watercolor: “fluid washes, bleeding edges, transparent layers”
- Oil/Acrylic: “thick impasto, visible brushstrokes, rich texture”
3.4 Scientific Mode
Characteristics:
- Technical precision and clarity
- Diagram and infographic aesthetics
- Educational illustration conventions
- Data visualization styling
Best Use Cases:
- Educational materials and textbooks
- Technical documentation
- Scientific illustrations
- Medical and anatomical visualizations
Prompt Techniques:
Mode: Scientific
Prompt: technical diagram, cross-section view, labeled components,
clean vector style, educational illustration, precise linework
Specialized Applications:
- Anatomical: “medical illustration, anatomical accuracy, educational”
- Mechanical: “exploded view diagram, technical drawing, CAD style”
- Biological: “scientific illustration, botanical accuracy, naturalist style”
- Data Visualization: “infographic style, chart aesthetics, information design”
3.5 Other Mode
Characteristics:
- Experimental and hybrid aesthetics
- Niche artistic categories
- Custom effect combinations
- Style fusion capabilities
Best Use Cases:
- Unique artistic expressions
- Cross-genre experimentation
- Novel aesthetic development
- Personal style exploration
Prompt Techniques:
Mode: Other
Prompt: experimental mixed media, combining photography and painting,
unique artistic vision, unconventional composition, avant-garde aesthetic
3.6 Nano Banana Advanced Style Controls
Style Intensity Adjustment:
- Use descriptive adjectives to control strength
- “subtle watercolor effect” vs. “bold watercolor painting”
- “photorealistic” vs. “hyperrealistic”
Combining Effect Modes:
- Generate base in one mode
- Use output as reference for another mode
- Blend characteristics across modes
4. Universal Style Categories & Cross-Platform Application

4.1 Photorealistic Styles
Photography Genre Matrix:
| Style | Midjourney | Nano Banana | Best Mode |
|---|---|---|---|
| Portrait | --style raw --s 250 | Photorealistic | Photorealistic |
| Landscape | --s 500 | Photorealistic | Photorealistic |
| Street | --style raw | Photorealistic | Photorealistic |
| Macro | --s 750 | Scientific | Scientific |
| Fashion | --sref fashion-code | Photorealistic | Photorealistic |
| Product | --style raw --s 150 | Photorealistic | Photorealistic |
Cinematic Styles:
| Film Genre | Midjourney Approach | Nano Banana Approach |
|---|---|---|
| Film Noir | --s 750 noir lighting | Photorealistic + noir prompt |
| Sci-Fi | --sref sci-fi-code | Photorealistic + futuristic |
| Documentary | --style raw candid | Photorealistic + documentary |
| Music Video | --s 500 vibrant | Photorealistic + stylized |
4.2 Artistic & Traditional Styles
Classical Art Movements:
| Movement | Midjourney | Nano Banana | Key Characteristics |
|---|---|---|---|
| Renaissance | --sref classical-code | Hand-drawn + classical | Chiaroscuro, idealized forms |
| Impressionism | --s 750 impressionist | Hand-drawn + light focus | Visible brushstrokes, light effects |
| Art Nouveau | --sref art-nouveau-code | Hand-drawn + organic | Flowing lines, natural forms |
| Art Deco | --s 500 geometric | Hand-drawn + geometric | Bold geometry, luxury aesthetics |
| Baroque | --s 750 dramatic | Hand-drawn + dramatic | Movement, emotion, grandeur |
| Romanticism | --s 750 atmospheric | Hand-drawn + emotional | Nature, emotion, sublime |
Modern Art Styles:
| Style | Description | Best Platform |
|---|---|---|
| Abstract Expressionism | Gestural, emotional, non-representational | Midjourney |
| Pop Art | Bold colors, commercial imagery, repetition | Both |
| Minimalism | Reduced forms, essential elements | Midjourney |
| Cubism | Fragmented perspectives, geometric forms | Nano Banana Hand-drawn |
| Surrealism | Dreamlike, unexpected juxtapositions | Midjourney |
4.3 Digital & Contemporary Styles
Game Art Styles:
| Style | Characteristics | Recommended Tool |
|---|---|---|
| Pixel Art | Retro 8-bit/16-bit aesthetic | Specialized tools |
| Low Poly | Simplified 3D geometry | Midjourney |
| Hand-painted | Textured, artistic 3D look | Nano Banana Hand-drawn |
| Photorealistic | Real-time ray tracing quality | Midjourney —style raw |
| Stylized | Exaggerated, artistic 3D | Nano Banana Other |
Animation Styles:
| Style | Midjourney | Nano Banana |
|---|---|---|
| Disney 3D | --s 750 3D animation | Hand-drawn + 3D prompt |
| Anime | --niji 6 | Hand-drawn + anime keywords |
| Western Cartoon | --s 500 cartoon | Hand-drawn + cartoon style |
| Motion Graphics | --s 750 motion design | Scientific + motion keywords |
4.4 Genre-Specific Styles
Fantasy & Sci-Fi Matrix:
| Sub-genre | Key Visual Elements | Recommended Tool | Mode/Parameters |
|---|---|---|---|
| High Fantasy | Magic, medieval, epic landscapes | Midjourney | --s 750 fantasy |
| Cyberpunk | Neon, dystopian, high-tech | Both | Photorealistic/ --sref cyberpunk |
| Steampunk | Brass, gears, Victorian | Nano Banana | Hand-drawn + Victorian |
| Solarpunk | Green, optimistic, sustainable | Midjourney | --s 500 utopian |
| Biopunk | Organic tech, biological horror | Midjourney | --s 750 organic-tech |
| Space Opera | Epic scale, advanced civilizations | Midjourney | --s 750 space-opera |
5. Cultural & Regional Styles
5.1 Asian Art Traditions
Japanese Styles:
| Style | Characteristics | Platform Approach |
|---|---|---|
| Ukiyo-e | Woodblock print aesthetic, flat colors | Midjourney --sref ukiyo-e |
| Manga | Black and white, speed lines, expressive | --niji 6 or Nano Banana Hand-drawn |
| Anime | Colorful, cel-shaded, large eyes | --niji 6 |
| Sumi-e | Ink wash, minimal, Zen aesthetic | Nano Banana Hand-drawn + ink |
Chinese Styles:
| Style | Characteristics | Platform Approach |
|---|---|---|
| Ink Wash (Shuimo) | Graduated tones, bamboo, mountains | Nano Banana Hand-drawn |
| Gongbi | Detailed, fine brushwork, colorful | Midjourney --s 750 detailed |
| Manhua | Modern Chinese comics style | --niji 6 with Chinese prompts |
Other Asian Traditions:
- Korean Minhwa: Folk painting, symbolic imagery
- Indian Miniature: Intricate details, vibrant colors
- Thai Traditional: Golden elements, religious iconography
5.2 Western Traditions
| Tradition | Characteristics | Best Approach |
|---|---|---|
| Classical European | Oil painting, academic style | Midjourney --sref classical |
| American Western | Landscapes, frontier themes | --style raw landscape |
| Nordic/Viking | Runes, nature, mythology | --s 750 norse |
| Celtic | Knotwork, nature spirals | Nano Banana Hand-drawn |
5.3 Global Indigenous & Folk Art
| Tradition | Key Elements | Application |
|---|---|---|
| Native American | Geometric patterns, nature symbols | Respectful reference only |
| Aboriginal Australian | Dot painting, Dreamtime stories | Cultural consultation required |
| African Tribal | Masks, patterns, symbolism | Research and respect |
| Latin American | Bright colors, folk motifs | Dia de los Muertos, etc. |
Important Note: When using cultural styles, research appropriately, respect cultural significance, and consider consultation with cultural practitioners.
6. Medium-Specific Style Techniques
6.1 Traditional Media Simulation
| Medium | Midjourney Technique | Nano Banana Technique | Key Prompt Elements |
|---|---|---|---|
| Oil Painting | --s 750 oil painting | Hand-drawn + oil medium | ”visible brushstrokes, impasto, canvas texture” |
| Watercolor | --sref watercolor-code | Hand-drawn + watercolor | ”fluid washes, paper texture, bleeding edges” |
| Charcoal | --style raw charcoal | Hand-drawn + charcoal | ”soft shading, smudged lines, paper grain” |
| Pastel | --s 500 pastel | Hand-drawn + pastel | ”soft powdery texture, blended colors” |
| Ink Wash | --sref sumi-e-code | Hand-drawn + ink wash | ”graduated tones, minimal strokes, rice paper” |
| Pencil | --s 500 pencil sketch | Hand-drawn + graphite | ”fine lines, shading, sketch paper” |
| Acrylic | --s 750 acrylic | Hand-drawn + acrylic | ”bold colors, texture, modern feel” |
| Gouache | --s 500 gouache | Hand-drawn + gouache | ”flat color, matte finish, illustration” |
6.2 Print & Production Styles
| Technique | Visual Characteristics | Prompt Keywords |
|---|---|---|
| Screen Print | Bold colors, registration marks, texture | ”screen print aesthetic, layered colors, ink texture” |
| Risograph | Limited colors, grainy texture, misregistration | ”risograph print, duotone, grainy texture” |
| Letterpress | Debossed effect, ink squeeze, vintage | ”letterpress, inked texture, vintage print” |
| Linocut | Bold lines, high contrast, carved texture | ”linocut print, bold lines, carved texture” |
| Etching | Fine lines, cross-hatching, plate tone | ”etching, fine lines, intaglio texture” |
6.3 Digital-First Styles
| Style | Characteristics | Best Platform |
|---|---|---|
| 3D Render | Photorealistic CGI, perfect surfaces | Midjourney --s 750 3D render |
| Vector Art | Clean lines, flat colors, scalable | Nano Banana Scientific |
| Digital Painting | Tablet-based art, smooth blending | Nano Banana Hand-drawn |
| Pixel Art | Retro 8-bit, limited palette | Specialized pixel tools |
| Glitch Art | Digital errors, distortion, RGB shift | Midjourney experimental |
| Vaporwave | 80s/90s aesthetic, neon, classical statues | --sref vaporwave-code |
7. Style Fusion & Advanced Techniques

7.1 Cross-Style Hybridization
Successful Fusion Combinations:
| Fusion Style | Elements Combined | How to Achieve |
|---|---|---|
| Photorealistic Watercolor | Photography + Watercolor | Midjourney: --sref [photo] [watercolor] |
| Cyberpunk Art Nouveau | Tech + Organic flowing lines | Nano Banana Other + both keywords |
| Anime Oil Painting | Cel shading + Impasto texture | --niji 6 + oil painting prompt |
| Scientific Fantasy | Technical precision + Magic | Nano Banana Scientific + fantasy elements |
| Vintage Futurism | Retro aesthetic + Sci-fi | --s 500 retro-futuristic |
Fusion Techniques:
-
Weighted Blending (Midjourney):
--sref [style1-code] [style2-code] --sw 200 150 -
Mode Switching (Nano Banana):
- Generate base in Photorealistic mode
- Use output as style reference in Hand-drawn mode
- Blend characteristics
-
Prompt Layering:
[Subject] in the style of [Style A] meets [Style B], combining [element from A] with [element from B]
7.2 Platform-Specific Fusion Methods
Midjourney Multi-SREF:
/imagine prompt: futuristic cityscape --sref 1234567890 9876543210 5555555555 --sw 100 150 200
Nano Banana Hybrid Prompts:
Mode: Other
Prompt: fusion of photorealistic portrait with watercolor painting elements,
realistic face with flowing paint hair, hybrid aesthetic
7.3 Artist-Inspired Styles (Ethical Approach)
Best Practices:
- Reference art movements rather than specific artists when possible
- Use “in the style of [movement]” instead of copying individual artists
- Create original aesthetics inspired by rather than copying
- Always disclose AI involvement in final work
Movement-Based References:
# Instead of: "in the style of Van Gogh"
# Use: "Post-Impressionist style, expressive brushwork, vibrant color,
# emotional intensity, swirling compositions"
7.4 Era & Decade Aesthetics
| Decade | Visual Characteristics | Key Elements |
|---|---|---|
| 1920s | Art Deco, glamour, jazz age | Geometric patterns, gold, black |
| 1950s | Mid-century modern, optimism | Clean lines, pastel colors, atomic |
| 1970s | Psychedelic, earthy, disco | Warm tones, patterns, funk |
| 1980s | Neon, cyberpunk origins, bold | Bright colors, geometric, synth |
| 1990s | Grunge, minimalism, digital early | Muted colors, distressed, pixel |
| 2000s | Y2K, glossy, digital optimism | Chrome, gradients, futurism |
| 2010s | Flat design, Instagram aesthetic | Pastels, minimal, lifestyle |
| 2020s | Maximalism, nostalgia, AI-native | Mixed eras, hyper-personalized |
8. Prompt Engineering for Styles: Advanced Guide

8.1 Style Keyword Architecture
Placement Strategy:
| Position | Purpose | Example |
|---|---|---|
| Beginning | Establish overall aesthetic | ”Oil painting portrait of…” |
| Middle | Modify subject with style | ”…with impressionist brushstrokes…” |
| End | Quality and technical specs | ”…8k, highly detailed, masterpiece” |
Weighting Techniques:
Midjourney Syntax:
[Subject] ::2 [Style description] ::1 [Technical specs]
Universal Emphasis:
- Repetition: “oil painting style, painted in oils, oil on canvas”
- Capitalization: “OIL PAINTING style”
- Position: Place style terms early and late in prompt
8.2 Style Modifiers Library
Quality Boosters:
Masterwork, award-winning, professional, gallery-quality,
trending on ArtStation, featured on Behance, masterpiece,
best quality, highly detailed, intricate, exquisite
Technical Specifications:
# Photography
35mm lens, 50mm lens, 85mm lens, f/1.8, f/2.8, ISO 100,
shutter speed 1/125, golden hour lighting, studio lighting,
softbox, rim light, natural light
# Rendering
Octane render, Unreal Engine 5, V-Ray, 3D render, ray tracing,
global illumination, subsurface scattering, physically based rendering
# Resolution/Quality
8k resolution, 4k, ultra detailed, sharp focus, high fidelity,
crisp details, fine detail
Atmospheric Modifiers:
# Mood
moody, ethereal, atmospheric, dreamy, surreal, mysterious,
ominous, serene, tranquil, energetic, dynamic
# Color
vibrant, muted, monochromatic, complementary colors,
analogous colors, warm tones, cool tones, desaturated
# Style intensity
subtle, pronounced, dramatic, bold, understated, maximalist,
minimalist, balanced
8.3 Troubleshooting Style Issues
| Problem | Cause | Solution |
|---|---|---|
| Style not applying | Weak prompt weight | Increase style keywords, use SREF/mode |
| Style bleeding into subject | Overlapping concepts | Separate with :: weights, clarify subject |
| Inconsistent results | Random seed variation | Set --seed, increase style weight |
| Unwanted artifacts | Style-subject conflict | Use negative prompts, adjust parameters |
| Style too subtle | Low stylize value | Increase --s or style intensity words |
| Style overwhelming subject | High style weight | Reduce --sw, balance with subject weight |
| Wrong artistic interpretation | Ambiguous style terms | Use specific artist/movement names |
8.4 Style Consistency Workflows
Creating a Style Guide:
- Define core aesthetic characteristics
- Document successful prompts and parameters
- Create reference image library
- Establish quality benchmarks
Batch Generation with Consistency:
# Use same seed for variations
--seed 123456 --sref [your-style-code]
# Document successful combinations
Project: Album Cover Series
Style: Dark fantasy illustration
Midjourney: --s 750 --sref 3849201738 --sw 200
Nano Banana: Hand-drawn mode + "dark fantasy illustration"
9. Tool Selection: When to Use What

9.1 Decision Matrix
| Project Type | Recommended Tool | Mode/Parameters | Why This Choice |
|---|---|---|---|
| Professional Portrait | Nano Banana | Photorealistic | Superior skin rendering, natural look |
| Concept Art | Midjourney | --s 750 | Creative interpretation, variety |
| Technical Illustration | Nano Banana | Scientific | Precision, clarity, diagram quality |
| Anime Art | Midjourney | --niji 6 | Native anime optimization |
| Artistic Illustration | Nano Banana | Hand-drawn | Authentic brush stroke simulation |
| Photorealistic Product | Nano Banana | Photorealistic | Material accuracy, lighting |
| Experimental/Hybrid | Both | Varies | Cross-platform strengths |
| Quick Iteration | Nano Banana | Any | Faster generation speed |
| Fine Art Quality | Midjourney | --s 750+ | Superior detail and composition |
9.2 Budget Considerations
| Budget Level | Recommended Approach |
|---|---|
| Free | Nano Banana free tier + Midjourney limited generations |
| $10-30/month | Single platform subscription (choose based on primary need) |
| $30-60/month | Both platforms for complete coverage |
| $60+/month | Premium tiers + custom model training |
9.3 Workflow Integration
Cross-Platform Workflow Example:
-
Concept Phase (Midjourney):
Generate 20+ concepts with --s 750 Explore different directions -
Refinement Phase (Nano Banana):
Take selected concept to Photorealistic/Hand-drawn mode Refine for specific use case -
Final Polish:
Use output as SREF in Midjourney Or upscale in specialized tools
10. Style Trends in AI Art 2026
10.1 Emerging Aesthetics
AI-Native Art Movements:
- Promptism: Art that celebrates the AI generation process
- Latent Space Exploration: Visualizing the “in-between” of styles
- Hyper-Personalization: Styles trained on individual preferences
- Collaborative Evolution: Community-driven style development
Technical Trends:
- Real-time style morphing
- Voice-controlled style adjustments
- AI-suggested style combinations
- Automated style consistency checking
10.2 Platform-Specific Trends
Midjourney:
- Expanding SREF library with community contributions
- Style mixing becoming more sophisticated
- Personal style codes for consistent branding
Nano Banana:
- Custom mode training for enterprises
- Hybrid mode development
- Industry-specific style presets
10.3 Industry Adoption Patterns
| Industry | Trending Styles | Application |
|---|---|---|
| Gaming | Stylized 3D, hand-painted | Environment art, character design |
| Fashion | Photorealistic, editorial | Lookbooks, campaign imagery |
| Publishing | Illustration, atmospheric | Book covers, interior art |
| Marketing | Bold, attention-grabbing | Social media, advertisements |
| Film/TV | Cinematic, concept art | Previz, production design |
11. Practical Style Workflows
11.1 Album Cover Style Workflow

Step-by-Step Process:
-
Genre Analysis → Style Selection
- Identify musical genre and mood
- Research reference album artwork
- Select 2-3 potential style directions
-
Reference Collection → SREF/Mode Choice
- Gather visual references
- For Midjourney: Create/test SREF codes
- For Nano Banana: Select appropriate mode
-
Prompt Development → Platform Selection
- Write detailed style-inclusive prompts
- Choose primary platform based on style needs
- Prepare backup alternatives
-
Iteration → Refinement
- Generate 10-20 initial variations
- Select strongest 3-5 for refinement
- Adjust parameters for consistency
-
Final Output → Post-Processing
- Export at required resolution
- Add text/typography if needed
- Final color correction
11.2 Brand Visual Identity Workflow
-
Brand Personality Mapping
- Define brand attributes (luxury, playful, professional)
- Map to corresponding visual styles
- Create mood boards
-
Style Consistency Framework
- Document successful prompts
- Create SREF library for brand
- Establish parameter standards
-
Multi-Platform Adaptation
- Adjust style for different use cases
- Maintain core aesthetic across platforms
- Create platform-specific variations
-
Documentation and Guidelines
- Write style guide
- Train team members
- Update as brand evolves
11.3 Personal Style Development
Phase 1: Exploration (Weeks 1-4)
- Try every style that interests you
- Document what resonates
- Don’t judge, just explore
Phase 2: Preference Identification (Weeks 5-8)
- Review exploration results
- Identify common threads
- Define 3-5 signature elements
Phase 3: Signature Style Crafting (Weeks 9-12)
- Refine preferred combinations
- Develop consistent parameters
- Create personal SREF library
Phase 4: Portfolio Curation (Ongoing)
- Select best work in your style
- Document your process
- Share and gather feedback
12. Resources & Tools
12.1 Style Reference Libraries
Midjourney SREF Databases:
- Community SREF sharing platforms
- Style code aggregators
- Artist-curated collections
Nano Banana Resources:
- Official gallery and examples
- Community showcase
- Mode-specific prompt libraries
Cross-Platform:
- Art history digital archives
- Museum open access collections
- Contemporary art references
12.2 Style Analysis Tools
| Tool | Purpose | Best For |
|---|---|---|
| Color palette extractors | Identify dominant colors | Color scheme development |
| Composition analyzers | Study layout and balance | Learning composition |
| Style similarity checkers | Find similar aesthetics | Reference discovery |
| Prompt optimizers | Improve prompt effectiveness | Better results |
12.3 Learning Resources
Platform Documentation:
- Midjourney official docs
- Nano Banana guides
- Community wikis
Educational Content:
- YouTube tutorials
- Online courses
- Webinars and workshops
Practice Exercises:
- Daily style challenges
- Recreation exercises
- Fusion experiments
13. Quick Reference Tables
Midjourney Style Parameters Cheat Sheet
| Parameter | Range | Effect | Example |
|---|---|---|---|
--s / --stylize | 0-1000 | Aesthetic intensity | --s 750 |
--sref | URL/code | Style reference | --sref 1234567890 |
--sw | 0-1000 | Style weight | --sw 200 |
--niji | 6 | Anime mode | --niji 6 |
--style raw | - | Reduced MJ aesthetic | --style raw |
--seed | 0-4294967295 | Reproducibility | --seed 123456 |
Nano Banana Mode Selection Guide
| Mode | Best For | Key Strengths | Sample Keywords |
|---|---|---|---|
| Photorealistic | Portraits, products | Realism, skin detail, lighting | portrait, product, lifestyle, fashion |
| Hand-drawn | Illustration, art | Brush strokes, artistic expression | illustration, sketch, watercolor, painting |
| Scientific | Technical, educational | Clarity, precision, diagrams | diagram, infographic, technical, scientific |
| Other | Experimental, hybrid | Flexibility, unique combinations | experimental, fusion, mixed media, avant-garde |
Universal Style Keywords by Category
| Category | Keywords | Difficulty | Best Platform |
|---|---|---|---|
| Photorealistic | photorealistic, 8k, detailed, cinematic | Easy | Nano Banana Photorealistic |
| Painterly | oil painting, watercolor, impressionist | Medium | Nano Banana Hand-drawn |
| Digital | concept art, digital painting, rendered | Easy | Midjourney |
| Traditional | sketch, charcoal, pastel, ink | Medium | Nano Banana Hand-drawn |
| Abstract | abstract, geometric, minimalist | Hard | Midjourney |
| Cinematic | film still, cinematic lighting, movie | Easy | Midjourney |
| Anime | anime, manga, cel shaded | Easy | Midjourney —niji |
| Technical | diagram, technical, scientific | Medium | Nano Banana Scientific |
14. Conclusion
Mastering image style for AI is both an art and a science. By understanding platform-specific tools like Midjourney’s SREF system and Nano Banana’s effect modes, you gain unprecedented control over your creative output.
Key Takeaways:
- Midjourney SREF provides precise style referencing through codes and parameters
- Nano Banana’s four modes offer quick, effective style selection
- Cross-platform workflows let you combine the strengths of multiple tools
- Prompt engineering is essential for consistent, professional results
- Style fusion opens unlimited creative possibilities
The most successful AI artists don’t just use these tools—they develop a deep understanding of how different styles communicate visually and emotionally. They build personal libraries of successful approaches and continuously experiment with new combinations.
Your unique aesthetic voice is waiting to be discovered. Whether you’re creating album artwork, concept designs, or fine art pieces, the tools and techniques in this guide provide everything you need to bring your vision to life.

Ready to explore the full spectrum of AI art styles?
NeoSpark brings together the power of Midjourney, Nano Banana, and leading AI art generators in one seamless platform. Access SREF codes, effect modes, and advanced style controls—all optimized for your creative workflow.
Start Creating with Every Style on NeoSpark →
Related Resources
- AI Album Cover Maker Guide
- Midjourney V7 Complete Tutorial
- Nano Banana 2 Masterclass
- Prompt Engineering Masterclass
Last Updated: March 2, 2026 Author: Alex Zhang, Founder of Neospark Platform Social: Follow on X
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