moai-connector-nano-banana

name	moai-connector-nano-banana
description	Professional image generation with Google Nano Banana Pro (Gemini 3 Pro)
version	1.0.1
modularized	true
last_updated	"2025-11-30T00:00:00.000Z"
compliance_score	70
auto_trigger_keywords	["banana","connector","nano"]
color	red

🎯 Quick Reference (30 seconds)

Purpose: Professional image generation using Google's Nano Banana Pro (Gemini 3 Pro Image Preview).

Key Features:

• Text-to-Image: Detailed prompts → 1K/2K/4K resolution images
• Image-to-Image: Style transfer, object manipulation, editing
• Real-time Grounding: Google Search integration for factual content
• Multi-Reference: Up to 14 reference images (6 objects + 5 humans)
• Advanced Text: Sophisticated text rendering directly in images

Two Models:

1. Nano Banana Pro (gemini-3-pro-image-preview) - Professional quality, 10-60s
2. Gemini 2.5 Flash (gemini-2.5-flash-image) - Fast, ~5-15s

---

Implementation Guide (5 minutes)

Features

• Text-to-Image generation with 1K/2K/4K resolutions
• Image-to-Image editing and style transfer
• Multi-turn refinement for iterative improvements
• Reference image guidance (up to 14 references)
• Real-time Google Search grounding for factual content
• Advanced text rendering directly in images

When to Use

• Generating professional visual assets for documentation or marketing
• Creating UI mockups and design concepts quickly
• Producing social media graphics and promotional images
• Illustrating technical documentation with custom diagrams
• Rapid prototyping of visual ideas before final design work

Core Patterns

Pattern 1: Structured Prompt for Quality

prompt = """
A serene Japanese garden at golden hour.
Lighting: warm sunset light filtering through maple trees.
Camera: wide-angle 35mm lens, low angle shot.
Composition: Rule of thirds, stone path leading to pagoda.
Color palette: warm gold, jade green, soft cream.
Style: photorealistic with slight cinematic color grading.
Quality: 4K resolution. Final output: PNG.
"""

Pattern 2: Multi-Turn Refinement

1. Generate initial image with base prompt
2. Review output and identify areas for improvement
3. Provide targeted refinement: "Make sky more dramatic"
4. Iterate up to 5 turns for perfect result

Pattern 3: Reference-Guided Generation

# Use reference images to guide style
generate_image(
    prompt="Mountain landscape in the style of reference",
    reference_images=["style_ref.png", "composition_ref.png"],
    resolution="2K",
    aspect_ratio="16:9"
)

📚 Core Patterns (5-10 minutes)

Pattern 1: Prompt Structure for Quality Images

Key Concept: Well-structured prompts generate better images

Template:

[Scene Description]
A [adjective] [subject] doing [action].
Setting: [location] with [environmental details].

[Photographic Elements]
Lighting: [type], creating [mood].
Camera: [angle] shot with [lens] lens.
Composition: [framing_details].

[Color & Style]
Color palette: [colors]. Style: [art_style].
Quality: [resolution]. Final output: [format].

Example:

A serene Japanese garden at golden hour.
Lighting: warm sunset light, creating peaceful mood.
Camera: wide-angle 35mm lens shot.
Color palette: gold, jade green, cream.
Quality: 4K photorealistic. Final: PNG.

Pattern 2: Text-to-Image Generation

Key Concept: Generate professional images from text prompts

Basic Flow:

1. Write detailed, structured prompt
2. Choose resolution (1K, 2K, 4K)
3. Select aspect ratio (1:1, 16:9, 3:2, etc.)
4. Enable Google Search for current information (optional)
5. Generate and retrieve Base64 PNG

Execution:

image_data = generate_image(
    prompt="Your detailed prompt here",
    resolution="2K",
    aspect_ratio="16:9",
    enable_google_search=True,  # For current info
    thinking_process=True        # Auto-optimize
)

Pattern 3: Image-to-Image Editing

Key Concept: Transform existing images with detailed instructions

Common Tasks:

• Style Transfer: Convert to art style (Van Gogh, anime, etc.)
• Object Manipulation: Add, remove, or modify elements
• Composition Change: Reframe, zoom, or reposition subjects
• Quality Enhancement: Upscale, improve detail, adjust colors

Flow:

1. Load original image
2. Write transformation instruction
3. Reference images (optional)
4. Apply edit maintaining coherence
5. Retrieve edited image

Pattern 4: Multi-Turn Refinement

Key Concept: Iteratively improve images through conversation

Workflow:

1. Generate initial image
2. Review output
3. Provide refinement instruction
4. Regenerate with improvements
5. Repeat (max 5 turns)

Example:

Turn 1: "A mountain landscape at sunset"
Turn 2: "Make the sky more dramatic with purple clouds"
Turn 3: "Add a lone tree in foreground"

Pattern 5: Reference Image Guidance

Key Concept: Use reference images to guide generation style

Supported References:

• Up to 6 object references
• Up to 5 human references
• Style influences
• Composition guides

Usage:

generate_image(
    prompt="Similar style to reference",
    reference_images=[
        "path/to/style_reference.png",
        "path/to/composition_ref.png"
    ]
)

---

📖 Advanced Documentation

This Skill uses Progressive Disclosure. For detailed implementation:

• modules/prompt-engineering.md - Professional prompt templates
• modules/api-reference.md - Complete API documentation
• modules/examples.md - Real-world usage examples
• modules/troubleshooting.md - Common issues and solutions

---

🎨 Model Selection Guide

Choose Nano Banana Pro when:

• Professional quality required
• 2K/4K resolution needed
• Complex compositions
• Sophisticated text in images
• Real-time information important
• Budget allows (higher cost)

Choose Gemini 2.5 Flash when:

• Quick iterations needed
• Prototyping and testing
• High volume generation
• 1K resolution sufficient
• Speed critical
• Cost sensitive

---

Quick Reference (30 seconds)

Core Purpose: Professional AI image generation using Nano Banana Pro (Gemini 3 Pro) and Gemini 2.5 Flash.

Key Features: Text-to-image, image-to-image editing, multi-turn refinement, reference guidance, 4K resolution.

When to Use: Visual asset creation, prototyping, documentation, UI mockups, marketing materials.

---

Works Well With

Agents:

• design-uiux - UI/UX design integration
• code-frontend - Frontend asset implementation
• workflow-docs - Visual documentation generation

Skills:

• moai-lang-unified - UI/UX implementation with generated assets
• moai-docs-generation - Create visual documentation
• moai-cc-claude-md - Embed generated images in markdown
• moai-domain-frontend - Frontend integration

Commands:

• /moai:3-sync - Documentation with visual assets
• /moai:9-feedback - Image generation improvements

---

🔗 Integration with Other Skills

Typical Workflow:

1. Use this Skill to generate visual assets
2. Use moai-domain-frontend to implement in UI
3. Use moai-docs-generation to document with images

---

📈 Version History

1.0.1 (2025-11-23)

• 🔄 Refactored with Progressive Disclosure pattern
• 📚 Detailed prompts moved to modules/
• ✨ Core patterns highlighted in SKILL.md
• ✨ Added model selection guide

1.0.0 (2025-11-12)

• ✨ Nano Banana Pro (Gemini 3 Pro) support
• ✨ Text-to-Image and Image-to-Image
• ✨ Multi-turn refinement capability
• ✨ Reference image guidance

---

Maintained by: alfred Domain: Image Generation & Visual Creation Generated with: MoAI-ADK Skill Factory