Nano Banana Pro Creating Stylish Collage Boards: Complete Professional-Level Mood Boards in 3 Steps

Author's Note: A detailed guide on using Nano Banana Pro (Gemini 3 Pro Image) to create stylish collages, from prompt design to multi-image composition, quickly generating professional-grade Fashion Mood Boards

Want to quickly create professional-grade fashion collages (Fashion Mood Boards) but find manual assembly time-consuming and laborious? Nano Banana Pro (Gemini 3 Pro Image Preview)'s multi-image composition feature allows you to generate collage effects comparable to fashion magazines in just 3 steps.

Core Value: After reading this article, you'll learn how to use Nano Banana Pro's multi-image composition, text rendering, and Google Search Grounding capabilities to quickly create brand collages, product catalog pages, and fashion inspiration boards.

Nano Banana Pro Fashion Collage Core Capabilities

Nano Banana Pro is an image generation model launched by Google DeepMind based on Gemini 3 Pro, hailed as the "best model for generating images with correctly rendered and clearly readable text". Its core capabilities in fashion collage scenarios include:

What is a Fashion Mood Board?

A Fashion Mood Board is a tool used by designers in the early stages of creation for visual brainstorming. By assembling clothing items, color schemes, texture maps, brand identities, and other elements together, it quickly conveys design concepts and style directions.

Traditional creation methods require:

1. Manually collecting material images
2. Using software like Photoshop for assembly
3. Repeatedly adjusting layout and color balance
4. Adding text annotations and brand elements

Nano Banana Pro can automatically complete all the above steps through a single prompt, and supports fine editing of individual elements.

Nano Banana Pro Fashion Collage Creation Workflow

Step 1: Design Prompt Structure

According to the official Nano Banana Pro Prompting Guide from Google AI, an effective prompt for fashion collages should include the following elements:

[Style Positioning] + [Collage Medium] + [Core Elements] + [Text Content] + [Color Scheme]

Example Prompt:

Create a fashion product collage on a brown corkboard based on this winter street style outfit.

Include:
- A center photo of a model wearing tweed coat and black boots
- Surrounding product cards: burgundy beret, white turtleneck, brown skirt, black boots, red handbag
- Handwritten labels in English: "TWEED COAT x FUR COAT", "WHITE KNITTED TURTLENECK", "BLACK SUEDE BOOTS"
- Polaroid-style photo frames
- Warm color palette: burgundy, brown, black, cream

Style: Magazine editorial collage with realistic shadows and pins

Key Tips:

• Specify Medium: "corkboard" / "canvas" / "white background"
• Structural Hierarchy: Layout logic of center main image + surrounding product cards
• Text Content: Must explicitly write out the text to be rendered, leveraging Nano Banana Pro's powerful text rendering capability
• Realistic Details: "realistic shadows" / "pins and tacks" / "polaroid frames"

Step 2: Call API to Generate Collage Board

Below is a minimal Python example for calling the Nano Banana Pro API (via the API Yi platform):

import openai

client = openai.OpenAI(
    api_key="YOUR_APIYI_KEY",
    base_url="https://vip.apiyi.com/v1"
)

response = client.images.generate(
    model="gemini-3-pro-image-preview",
    prompt="Create a fashion product collage on a brown corkboard...",
    size="1024x1024",
    n=1
)

image_url = response.data[0].url
print(f"Collage board generated successfully: {image_url}")

import openai
from typing import Optional, List

def generate_fashion_collage(
    main_photo_path: str,
    product_images: List[str],
    labels: List[str],
    style: str = "corkboard",
    resolution: str = "2048x2048"
) -> str:
    """
    Generate fashion collage board

    Args:
        main_photo_path: Center model photo path
        product_images: List of product item image paths
        labels: List of text labels
        style: Collage style (corkboard/canvas/clean)
        resolution: Output resolution

    Returns:
        URL of the generated image
    """
    client = openai.OpenAI(
        api_key="YOUR_APIYI_KEY",
        base_url="https://vip.apiyi.com/v1"
    )

    # Build prompt
    prompt = f"""Create a fashion product collage on a brown {style}.

Center: A model photo showing the complete outfit
Surrounding elements:
"""

    for i, label in enumerate(labels, 1):
        prompt += f"- Product card {i}: {label}\n"

    prompt += """
Layout: Magazine editorial style with realistic shadows
Text rendering: Clear, handwritten-style labels in English
Color grading: Warm tones with high contrast
"""

    try:
        response = client.images.generate(
            model="gemini-3-pro-image-preview",
            prompt=prompt,
            size=resolution,
            quality="hd"
        )
        return response.data[0].url
    except Exception as e:
        return f"Generation failed: {str(e)}"

# Usage example
result = generate_fashion_collage(
    main_photo_path="outfit_main.jpg",
    product_images=["beret.jpg", "turtleneck.jpg", "skirt.jpg", "boots.jpg", "bag.jpg"],
    labels=["BURGUNDY BERET", "WHITE TURTLENECK", "BROWN SKIRT", "BLACK BOOTS", "RED HANDBAG"],
    style="corkboard",
    resolution="2048x2048"
)
print(result)

Quick Test: Get Nano Banana Pro test credits through API Yi at apiyi.com. The platform uniformly supports OpenAI SDK calling format, allowing you to switch models without modifying existing code. Visit imagen.apiyi.com to experience the image generation online.

Step 3: Fine-tuning and Iteration

Nano Banana Pro supports multi-turn conversational editing, allowing for localized adjustments to generated results:

Common Editing Needs:

1. Adjust Text Content

   Replace the "TWEED COAT" label with "OVERSIZED COAT" in the same handwritten style
   

2. Modify Product Position

   Move the red handbag card to the bottom right corner
   

3. Change Color Scheme

   Change the overall color grading to cool tones: navy blue, silver, white
   

4. Add Brand Elements

   Add a small brand logo "CHANEL" in the top left corner with elegant typography
   

Editing Tips:

• Use "Replace X with Y" to clearly specify replacement objects
• Keep "in the same style" to ensure style consistency
• Leverage Google Search Grounding feature to automatically retrieve brand visual guidelines

Nano Banana Pro vs Traditional Tools Comparison

Comparison Note: The time data above comes from actual testing in Fashion Moodboard with Gemini 3 & Nano Banana Pro. Can be verified on APIYi apiyi.com platform at $0.05/image pricing (79% savings compared to Google's official 4K pricing of $0.24/image).

Nano Banana Pro Fashion Collage Advanced Techniques

1. Leveraging Google Search Grounding for Real-time Trending Insights

Nano Banana Pro's unique Google Search Grounding feature can automatically search for current trending elements:

response = client.images.generate(
    model="gemini-3-pro-image-preview",
    prompt="""Create a fashion mood board for Spring 2026 Paris Fashion Week trends.

    Use Google Search to find:
    - Top 3 trending color palettes
    - Popular fabric textures (silk, linen, etc.)
    - Key silhouettes from recent runway shows

    Arrange in a modern collage layout with clear trend labels.""",
    extra_body={"use_search_grounding": True}
)

Application Value: Designers don't need to manually research fashion trends—AI automatically captures and visualizes the latest fashion information.

2. Character Consistency: Same Model Multiple Outfit Collage

Nano Banana Pro supports up to 5 characters maintaining consistency, ideal for creating "one model's weekly outfits" mood boards:

prompt = """Create a 7-day outfit collage featuring the same Asian female model.

Model characteristics: Long black hair, 170cm height, modern urban style

Outfits:
- Monday: Business casual (blazer + white shirt)
- Tuesday: Casual streetwear (oversized hoodie + jeans)
- Wednesday: Elegant dinner (little black dress)
- Thursday: Sporty (athleisure set)
- Friday: Weekend brunch (knit sweater + midi skirt)
- Saturday: Date night (silk blouse + trousers)
- Sunday: Relaxed home (cashmere loungewear)

Layout: Grid format with day labels, same model face across all photos
"""

Technical Points: Explicitly specify "same model face" and detailed appearance characteristics in the prompt.

3. Multilingual Text Rendering: Chinese-English Bilingual Brand Collage

According to the Nano Banana Pro official documentation, the model supports clear rendering of multiple languages including Chinese and English:

prompt = """Create a luxury brand product collage on white background.

Text elements (render clearly):
- English brand name: "MAISON LUMIÈRE" (elegant serif font)
- Chinese slogan: "光影美学 · 时尚新生" (modern sans-serif)
- Product labels: "Silk Scarf ¥2,980", "Leather Bag ¥15,800"

Products: Arrange 4 luxury items with clean spacing
Style: High-end magazine editorial with soft shadows
"""

Use Cases: Cross-border e-commerce brands, luxury marketing materials, bilingual product catalogs.

Practical Application Scenarios and Case Studies

Scenario 1: E-commerce Product Catalog Page Generation

Requirements: Quickly generate weekly new product collage pages for an online clothing store

Implementation Approach:

1. Prepare high-resolution individual product images (white background)
2. Use Nano Banana Pro to automatically compose collage layouts
3. Add price tags and promotional text
4. Output 4K high-definition images for website banners

Time Comparison:

• Traditional designer production: 4 hours/page
• Nano Banana Pro: 2 minutes/page (including fine-tuning)

Cost Savings: Based on designer hourly rate of ¥200, saves ¥800 in labor costs per page

Scenario 2: Fashion Blogger Content Production

Requirements: Publish one outfit inspiration collage daily to Instagram/Xiaohongshu

Workflow:

Capture street style photos → Input to Nano Banana Pro → Auto-generate collage board → Add captions and publish

Actual Data (from Gemini AI Vision Board Trend):

• In January 2026, fashion bloggers using Mixboard + Nano Banana Pro saw content output efficiency increase by 300%
• User engagement rates increased by 40% (due to more professional visual quality)

Scenario 3: Brand Mood Board Proposals

Requirements: Quickly create 3 different style versions of brand visual direction proposals for clients

Nano Banana Pro Advantages:

• Rapidly generate multiple versions for comparison (Vintage / Modern / Minimalist)
• Make instant detail adjustments based on client feedback
• Output 4K print-ready files after final selection

Industry Trend: According to 24 Mind-Blowing Nano Banana Pro Use Cases, the proportion of fashion industry designers using AI generation tools for early concept development has reached 67% (2025 data).

Nano Banana Pro API Pricing and Platform Selection

Official Pricing (Google Vertex AI)

APIYi Platform Pricing ⭐ Recommended

Base Pricing

• Unified Price: $0.05/image (resolution-independent, covering 1K/2K/4K)
• Discount Strength:
  • Compared to official 4K: Save 79% (approximately 20% of original price)
  • Compared to official 2K: Save 63% (approximately 37% of original price)

Enterprise Top-up Bonuses

Target Audience: E-commerce companies, design firms, MCN agencies with daily consumption > 5,000 images

Cost Calculation Example:

Assuming an e-commerce team generates 10,000 product collage images monthly:

Annual Savings: $24,000 (save 83%)

Performance Advantages

• Generation Speed:
  • 1K/2K: Approximately 30 seconds/image
  • 4K: Approximately 1 minute/image
• Stability: Based on Google Cloud T3 tier and above enterprise accounts
• Concurrency Control: Unlimited concurrency, supports large-scale batch calling
• Daily Capacity: Platform processes 100,000+ images daily on average (January 2026 data)

Payment Methods

• ✅ Alipay / WeChat Pay
• ✅ USDT (convenient for overseas customers, serving clients in Russia, Spain, North America)
• ✅ No overseas credit card required

Quick Start

• Developer Documentation: docs.apiyi.com
• Official Website: api.apiyi.com
• Online Testing: imagen.apiyi.com (free trial of Nano Banana Pro image generation)

FAQ

Summary

Core advantages of Nano Banana Pro fashion collages:

1. Multi-image Composition: Automatic layout with up to 14 images, eliminating manual stitching time
2. Text Rendering: Clear rendering of multilingual Chinese and English, automatic brand label generation
3. Efficient Iteration: Natural language editing, completing local adjustments in 30 seconds
4. Cost Advantage: Calling through the APIYI platform costs only 20% of Google's official pricing

For e-commerce designers, fashion bloggers, and brand planning teams, Nano Banana Pro reduces moodboard creation from "4 hours of professional work" to "1 minute of prompt input", achieving a qualitative leap in creative speed.

It's recommended to quickly verify results through APIYI apiyi.com, which provides free testing credits, unified OpenAI SDK calling format, and preferential pricing of $0.05/image covering 1K-4K resolutions. Visit imagen.apiyi.com to experience collage generation effects online.

Author: Technical Team
Technical Discussion: Feel free to share your collage works in the comments section. More AI image generation resources are available at the APIYI apiyi.com technical community

References:

• Nano Banana Pro Official Documentation
• Fashion Moodboard with Gemini 3 & Nano Banana Pro
• Nano Banana Pro Prompting Guide Strategies
• Gemini AI Vision Board Trend 2026