Nanobanana
Nanobanana

Virtual Try-On Tutorial

Master Google AI Studio's advanced virtual fitting technology

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Revolutionary Virtual Try-On Technology

Google AI Studio's Gemini 2.5 Flash Image model (Nanobanana) represents the cutting edge of virtual try on technology. Unlike traditional tools that simply overlay clothing, our AI understands fabric physics, body proportions, and realistic fitting.

What Makes It Special

  • **Realistic Fabric Simulation** - Clothes drape naturally on your body
  • **Accurate Size Fitting** - AI adjusts for your body proportions
  • **Lighting Consistency** - Maintains natural shadows and highlights
  • **Detail Preservation** - Keeps intricate patterns and textures

Based on Real User Testing

This tutorial incorporates feedback from thousands of users who tested virtual try on with Google's technology throughout 2025.

Step-by-Step Virtual Try-On Process

Phase 1: Photo Preparation

Optimal Photo Requirements:

  • Resolution: Minimum 1024x1024 pixels
  • Lighting: Even, natural lighting preferred
  • Pose: Standing straight, arms slightly away from body
  • Background: Clean, uncluttered background
  • Clothing: Fitted base outfit for accurate body mapping

Phase 2: Initial Outfit Request

Effective Prompt Structure:


"Make [person] wear [specific clothing item] in [color] for [occasion]"

Examples:

  • "Make this woman wear a black cocktail dress for a dinner party"
  • "Put this person in a navy blue business suit for work"
  • "Give him a casual denim jacket and jeans for weekend"

Phase 3: Refinement and Adjustment

Common Refinement Prompts:

  • **Size Adjustments**: "Make the dress more fitted" or "Loosen the jacket"
  • **Style Changes**: "Change to a V-neck style" or "Add long sleeves"
  • **Color Modifications**: "Change the color to emerald green"
  • **Detail Additions**: "Add a belt" or "Include jewelry"

Pro Tip for Complex Changes:

If the first attempt doesn't perfectly remove original clothing, use follow-up prompts like:

"Remove the original shirt completely before adding the new dress"

Advanced Techniques

Multi-Item Coordination

Generate complete outfit sets by specifying multiple items:

"Put her in a white blouse, black blazer, and matching pencil skirt with heels"

Seasonal Adaptation

Adapt outfits for different weather conditions:

"Add a wool coat and boots for winter weather"

"Change to light, breathable fabrics for summer"

Accessory Integration

Enhance outfits with accessories:

"Add a statement necklace and matching earrings"

"Include a designer handbag and sunglasses"

Best Results Tips

For optimal virtual try on results, start with simple clothing changes and gradually add complexity. The AI performs best with clear, specific instructions.

Why might face features change slightly after multiple edits?

This is a known limitation of current AI technology. After 3-4 major edits, facial features may shift slightly. For best results, plan your outfit changes in advance to minimize iterations.

How do I get better clothing removal results?

Be explicit about removing original items: 'Remove the blue shirt completely, then add the red dress' works better than 'Change the blue shirt to a red dress'.

Can I try on real products from stores?

Yes! Upload a product photo along with your photo, and describe how you want to wear it. This works great for online shopping decisions.

What clothing types work best?

Simple, solid-colored items with clear boundaries work best. Complex patterns, transparent fabrics, or heavily layered outfits may require multiple refinement attempts.