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Overview

AI Clothes Changer lets you virtually try on different clothing items on a person in an image. The API uses advanced AI to realistically change outfits, styles, and clothing accessories while preserving the person’s pose, lighting, and background.

API Spec

See API details

Product Page

Learn more about AI Clothes Changer

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How It Works

  1. Provide a person image - Upload an image of the person you want to dress
  2. Provide a garment image - Upload an image of the clothing item you want to try on
  3. Specify garment type - Indicate whether it’s upper_body, lower_body, or full_body
  4. API generates the result - AI applies the garment to the person realistically
  5. Download the result - Retrieve your image with the new outfit

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Use Cases

  • E-commerce virtual try-on - Let customers preview outfits before buying
  • Fashion design - Prototype clothing designs on models
  • Social media content - Create outfit inspiration posts
  • Personal styling apps - Build virtual wardrobe features
  • Marketing campaigns - Generate product variations efficiently

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Best Practices

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Image Quality

Use clear, full-body or half-body shots - The AI works best when the person’s clothing is clearly visible.
  • Good lighting - Well-lit images produce more realistic results
  • Visible clothing area - Ensure the clothing you want to change is fully visible
  • Minimal obstructions - Avoid crossed arms or objects covering clothing
  • Simple backgrounds - Solid or simple backgrounds work best

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Garment Image Requirements

✅ Good garment images:
  • Clear, well-lit photos of the clothing item
  • Flat lay or on a mannequin works best
  • Minimal background distractions
  • Full view of the garment
Garment Types:
  • upper_body - Shirts, jackets, tops, blouses
  • lower_body - Pants, skirts, shorts
  • full_body - Dresses, jumpsuits, full outfits

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Code Examples

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Basic Clothes Change

from magic_hour import Client
import os

client = Client(token=os.getenv("MAGIC_HOUR_API_KEY"))

result = client.v1.ai_clothes_changer.generate(
    assets={
        "person_file_path": "https://raw.githubusercontent.com/runshouse/Sample_Assets/main/freedom.jpg",
        "garment_file_path": "https://raw.githubusercontent.com/runshouse/Sample_Assets/main/michael-jackson-red-jacket.png",
        "garment_type": "upper_body"
    },
    name="Clothes Changer image",
    wait_for_completion=True,
    download_outputs=True,
    download_directory="./outputs/"
)

if result.status == "complete":
    print(f"✅ Clothes change complete!")
    print(f"Downloaded to: {result.downloaded_paths}")
    print(f"Credits charged: {result.credits_charged}")
else:
    print(f"❌ Job failed with status: {result.status}")
    if hasattr(result, 'error_message'):
        print(f"Error: {result.error_message}")

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Different Garment

result = client.v1.ai_clothes_changer.generate(
    assets={
        "person_file_path": "https://raw.githubusercontent.com/runshouse/Sample_Assets/main/bullsjersey.webp",
        "garment_file_path": "https://raw.githubusercontent.com/runshouse/Sample_Assets/main/rookiesteph.jpg",
        "garment_type": "upper_body"
    },
    name="Clothes Changer image",
    wait_for_completion=True,
    download_outputs=True,
    download_directory="./outputs/"
)

if result.status == "complete":
    print(f"✅ Clothes change complete!")
    print(f"Downloaded to: {result.downloaded_paths}")
    print(f"Credits charged: {result.credits_charged}")
else:
    print(f"❌ Job failed with status: {result.status}")
    if hasattr(result, 'error_message'):
        print(f"Error: {result.error_message}")

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Pricing

OutputCredits
1 clothes change25 credits

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Resolution Limits

AI Clothes Changer has a maximum resolution of 1472px (either width or height).
Try this in our Google Colab Cookbook: Run this API with sample code. Just add your API key.

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API Reference

AI Clothes Changer API Reference

View full API specification

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