---

name: ai-clothing-try-on description: "Virtual clothing try-on using each::sense AI. Upload a photo of a person and a garment to see how the clothing looks on them. Supports dresses, tops, pants, jackets, and accessories with realistic draping and fit. Use for: online shopping preview, fashion retail, personal styling, e-commerce conversion, social media try-on. Triggers: virtual try on, clothing try on, try on clothes, ai fitting room, virtual fitting, dress try on, outfit try on, wear clothes virtually, digital fitting, ai wardrobe" allowed-tools: Bash(curl *), WebFetch

AI Clothing Try-On

Virtually try clothes on photos of real people using each::sense — the intelligent AI agent that automatically selects the best model for your request.

Quick Start

Requires an each::labs API key. Get one at eachlabs.ai.

Using curl

curl -X POST https://eachsense-agent.core.eachlabs.run/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -d '{
    "messages": [
      {
        "role": "user",
        "content": [
              {"type": "text", "text": "Put the clothing from the second image onto the person in the first image. Keep the person identity, pose, and background the same. Realistic fit and natural fabric draping."},
              {"type": "image_url", "image_url": {"url": "https://example.com/person-photo.jpg"}},
              {"type": "image_url", "image_url": {"url": "https://example.com/garment-photo.jpg"}}
            ]
          }
    ],
    "stream": false
  }'

Using Python (OpenAI SDK)

from openai import OpenAI

client = OpenAI(
    api_key="YOUR_EACHLABS_API_KEY",
    base_url="https://eachsense-agent.core.eachlabs.run/v1"
)

response = client.chat.completions.create(
    model="eachsense/beta",
    messages=[{
        "role": "user",
        "content": "Put the clothing from the second image onto the person in the first image. Keep the person identity, pose, and background the same. Realistic fit and natural fabric draping."
    }],
    # Images are included in the message content array above
)

print(response.choices[0].message.content)

With Reference Image

This skill is inherently image-driven. Always provide at least one image (the person), and optionally a second image (the garment):

curl -X POST https://eachsense-agent.core.eachlabs.run/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -d '{
    "messages": [
      {
        "role": "user",
        "content": [
              {"type": "text", "text": "Dress the person in the first image in a classic black leather biker jacket over a white t-shirt with slim dark jeans. Maintain the original pose and face. Photorealistic result."},
              {"type": "image_url", "image_url": {"url": "https://example.com/person-photo.jpg"}}
            ]
          }
    ],
    "stream": false
  }'

Images are sent inside messages using the OpenAI multimodal content format. Maximum 4 images per request.

Streaming

Set "stream": true for real-time SSE responses, or "stream": false for complete result in a single response. Streaming is useful for showing progress in UIs; non-streaming is simpler for scripts and automation.

Best Practices for Input Photos

Person Photo

• Clear, well-lit front-facing or three-quarter pose
• Full body or half body depending on garment type (full body for dresses/pants, half body for tops)
• Simple background improves results; busy backgrounds may interfere
• Neutral pose with arms at sides gives the cleanest try-on

Garment Photo

• Flat lay or mannequin shots work best
• Clean background (white preferred)
• Single garment per image, no styling accessories unless you want them included
• Good lighting showing fabric texture and color accurately

Examples

Dress Try-On with Two Images

curl -X POST https://eachsense-agent.core.eachlabs.run/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -d '{
    "messages": [
      {
        "role": "user",
        "content": [
              {"type": "text", "text": "Put this red silk midi dress from the second image onto the woman in the first image. Preserve her face, hairstyle, and the outdoor park background. Natural draping, realistic shadows."},
              {"type": "image_url", "image_url": {"url": "https://example.com/woman-standing-park.jpg"}},
              {"type": "image_url", "image_url": {"url": "https://example.com/red-silk-dress-flatlay.jpg"}}
            ]
          }
    ],
    "stream": false
  }'

Text-Described Outfit on Person

curl -X POST https://eachsense-agent.core.eachlabs.run/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -d '{
    "messages": [
      {
        "role": "user",
        "content": [
              {"type": "text", "text": "Change the outfit on the person in this image to a navy pinstripe three-piece suit with a crisp white shirt and burgundy silk tie. Keep the face, hair, and background identical. Professional photo quality."},
              {"type": "image_url", "image_url": {"url": "https://example.com/man-office.jpg"}}
            ]
          }
    ],
    "stream": false
  }'

Jacket Try-On

curl -X POST https://eachsense-agent.core.eachlabs.run/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -d '{
    "messages": [
      {
        "role": "user",
        "content": [
              {"type": "text", "text": "Put the denim jacket from the second image onto the person in the first image. Keep everything else the same: face, pose, pants, shoes, background. Only replace the upper body outerwear."},
              {"type": "image_url", "image_url": {"url": "https://example.com/person-casual.jpg"}},
              {"type": "image_url", "image_url": {"url": "https://example.com/denim-jacket.jpg"}}
            ]
          }
    ],
    "stream": false
  }'

E-commerce Integration Workflow

# Try multiple garments on the same person photo
PERSON="https://example.com/model-photo.jpg"
GARMENTS=(
  "https://example.com/product-001-blouse.jpg"
  "https://example.com/product-002-jacket.jpg"
  "https://example.com/product-003-dress.jpg"
)

for GARMENT in "${GARMENTS[@]}"; do
  curl -X POST https://eachsense-agent.core.eachlabs.run/v1/chat/completions \
    -H "Content-Type: application/json" \
    -H "X-API-Key: $EACHLABS_API_KEY" \
    -d "{
      \"messages\": [{\"role\": \"user\", \"content\": \"Put the garment from the second image onto the person in the first image. Preserve identity, pose, and background. Realistic fabric draping, e-commerce quality.\"}],
      \"image_urls\": [\"$PERSON\", \"$GARMENT\"],
      \"stream\": false
    }"
  echo "---"
done

Common Pitfalls

• Arms covering torso make it hard to place upper-body garments. Use photos with arms at the sides.
• Extreme poses (jumping, bending) produce less accurate results than standing poses.
• Multiple people in frame — the model may not know which person to dress. Crop to a single person.
• Accessory conflicts — if the person wears a scarf or bag, specify whether to keep or remove them.
• Resolution mismatch — a low-res person photo with a high-res garment (or vice versa) can look unnatural.

Related Skills

• AI Fashion Model — Generate virtual models from scratch
• AI Outfit Generator — Create complete outfit ideas
• AI Product Photo — Professional garment photography
• AI Lifestyle Photo — Products in real-world settings

Related Models

• flux-2-max — Highest quality image generation
• flux-kontext-pro — Best for image-guided edits
• nano-banana-pro — Fast iterations

Documentation

• each::sense Overview
• each::labs API