Virtual Try On

Convert clothing images into professional e-commerce photos by virtually dressing AI models with up to four garment images for online retail use.

Skills.md

Skill Name

virtual-try-on

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Description

Virtual Try-On — Transform clothing images into professional e-commerce product photos with AI models wearing the garments. Upload up to 4 clothing/garment images and receive a high-quality product photo ready for online retail platforms.

It leverages the Pixify engine to process your inputs through:

• Garment Analysis (image_to_text_gpt5)
• Model Try-On Generation (nano_banana_pro)

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Service Overview

• 🌐 Product Website / Console:
  https://ai.ngmob.com
  (For product access, workflow management, and obtaining your API Key)

• 🔗 API Base URL:
  https://api.ngmob.com
  (Used strictly for API requests and workflow execution)

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Use Cases

• Fashion E-Commerce: Generate product photos for online clothing stores
• Design Visualization: See how designs look on models before production
• Catalog Creation: Quickly create professional product catalogs
• Multi-Variant Display: Generate product photo variations
• Retail Preparation: Prepare images for marketplace listings

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Inputs

Name	Type	Required	Description
Clothing Image 1	string (URL)	✅	Top/Shirt — Clothing item image (shirt, blouse, jacket, etc.)
Clothing Image 2	string (URL)	❌	Bottom/Pants — Clothing item image (pants, skirt, shorts, etc.)
Clothing Image 3	string (URL)	❌	Accessories/Shoes — Accessory or footwear image (shoes, bag, hat, etc.)
Clothing Image 4	string (URL)	❌	Additional Item — Additional clothing or accessory image (optional)

⚠️ Important: Clothing Component Types

• Image 1 (Required): Top/shirt/jacket or any upper body garment
• Image 2 (Optional): Bottom/pants/skirt or any lower body garment
• Image 3 (Optional): Accessories/shoes or footwear
• Image 4 (Optional): Additional clothing items or accessories
• Upload order doesn't matter - workflow automatically identifies and combines components

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How to Use

When the user requests to execute this workflow, follow these steps:

1. Collect Input Parameters

Gather the required inputs from the user:

• At least 1 clothing/garment image (required)
• Up to 3 additional clothing images (optional)

2. Call the Workflow API

bash

curl -X POST https://api.ngmob.com/api/v1/workflows/2IIk3Z6NKuPZP7moonEI/run \
  -H "Authorization: Bearer $API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "inputs": {
      "Clothing Image 1": "https://example.com/shirt.png",
      "Clothing Image 2": "https://example.com/pants.png",
      "Clothing Image 3": "https://example.com/jacket.png",
      "Clothing Image 4": "https://example.com/accessories.png"
    }
  }'

3. Poll Task Status (Recommended: every 3–5 seconds)

Use the returned task_id to query task status:

bash

curl https://api.ngmob.com/api/v1/workflows/executions/{task_id} \
  -H "Authorization: Bearer $API_KEY"

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Preview

Input Clothing Images

Clothing 1	Clothing 2	Clothing 3	Clothing 4

Generated E-Commerce Product Photos

Product Photo 1	Product Photo 2	Product Photo 3

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Example (Recommended)

json

{
  "Clothing Image 1": "https://example.com/shirt.png",
  "Clothing Image 2": "https://example.com/pants.png",
  "Clothing Image 3": "https://example.com/jacket.png",
  "Clothing Image 4": "https://example.com/accessories.png"
}

What happens:

1. The workflow analyzes each clothing image's design and characteristics
2. AI models are dressed with your garments
3. A professional e-commerce product photo is generated
4. You receive an image ready for online retail platforms

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🤖 Generated with Pixify