AI Hat Virtual Try-On

Overview

Step into the future of fashion with our Hyper-Realistic AR Try-On for Headwear, powered by cutting-edge AI technology. This innovative solution transforms online shopping into an immersive experience, allowing customers to virtually try on headwear with unmatched precision and realism. From instant style discovery to true-to-life visualization, our AR technology ensures every hat and headband looks and feels authentic. Helping shoppers find their perfect fit and style before they buy. Elevate engagement, boost confidence, and redefine the way customers interact with your products.

Integration Guide

This guide walks you through:

Endpoint: /s2s/v2.0/task/hat
Authentication: All requests require an Authorization: Bearer YOUR_API_KEY
Workflow:
1. Prepare a selfie image: Uploading an image or providing a valid image URL of yourself as the virtual try-on target.
2. Prepare a hat image: Upload a hat product image or a photo of a person wearing hat.
3. Select a style and a gender: Select a preferred style and the gender you wish to visualize.
4. Fire an AI task and Retrieve Task ID: Capture the task_id from the response.
5. Poll Status (GET): Use the task_id to check the status of the task. Continue polling until task_status is "success" or "error".

Authentication

Include your API key in the request header using Bearer Token:

Authorization: Bearer YOUR_API_KEY

You can find your API Key at https://yce.makeupar.com/api-console/en/api-keys/.

AI Hat API Usage Guide

This guide explains how to upload images, prepare reference hat, and create virtual try-on tasks using the AI Hat API.

Step 1. Prepare a Selfie Image

You can:

Upload a selfie image using the File API (/s2s/v2.0/file), or
Provide a valid image URL.
- Step 1.1 Upload a File Using the File API

Use the File API (/s2s/v2.0/file) to upload a target user image.

Image Requirements:

Upload a selfie photo.
Ensure the photo clearly shows the upper body.
Avoid backgrounds with multiple people or distracting objects.

Example Request:

curl --request POST \
  --url https://yce-api-01.makeupar.com/s2s/v2.0/file \
  --header 'Authorization: Bearer YOUR_API_KEY' \
  --header 'content-type: application/json' \
  --data '{
    "files": [
      {
        "content_type": "image/jpg",
        "file_name": "selfie_photo_01_3dbd1b6683.jpg",
        "file_size": 547541
      }
    ]
  }'

Step 1.2. Retrieve File API Response

The response includes:

file_id for creating an AI task.
requests.url for uploading the actual image file.

Sample Response:

{
  "status": 200,
  "data": {
    "files": [
      {
        "content_type": "image/jpg",
        "file_name": "selfie_photo_01_3dbd1b6683.jpg",
        "file_id": "SaGaqpDgKwFrVBgMpQMA3HY0LeqdT9/13W5TOD8/u/FfjK3xgCQ+hRt9MJXBFaud",
        "requests": [
          {
            "method": "PUT",
            "url": "https://yce-us.s3-accelerate.amazonaws.com/demo/ttl30/...signature...",
            "headers": {
              "Content-Length": "547541",
              "Content-Type": "image/jpg"
            }
          }
        ]
      }
    ]
  }
}

Step 1.3. Upload Image to Provided URL

Use the requests.url from the File API response to upload the image:

curl --location --request PUT 'https://yce-us.s3-accelerate.amazonaws.com/demo/ttl30/...signature...' \
  --header 'Content-Type: image/jpg' \
  --header 'Content-Length: 547541' \
  --data-binary @'./selfie_photo_01_3dbd1b6683.jpg'

Step 2. Prepare a Reference Hat Image

You can:

Upload a hat image using the File API (/s2s/v2.0/file), or
Provide a valid image URL.

Supported Hat Images:

A hat product image.
A photo of a person wearing hat.

Refer to File Specs and Errors for detailed specifications.

Step 3. Create an AI Task

Select a preferred style and the gender you wish to visualize. Use the AI Task API (/s2s/v2.0/task/hat) to create a virtual try-on task.

Parameters:

For the user image: src_file_id or src_file_url.
For the hat image: ref_file_id, or ref_file_url.

Example Request:

curl --request POST \
  --url https://yce-api-01.makeupar.com/s2s/v2.0/task/hat \
  --header 'Authorization: Bearer YOUR_API_KEY' \
  --header 'content-type: application/json' \
  --data '{
    "src_file_url": "https://example.com/selfie.jpg",
    "ref_file_url": "https://example.com/accessory.jpg",
    "gender": "female",
    "style": "random"
}'

Sample Response:

{
  "status": 200,
  "data": {
    "task_id": "SaGaqpDgKwFrVBgMpQMA3HY0LeqdT9_13W5TOD8_u_GPi6NqQ3dhlmN-6ntFwhzT"
  }
}

Step 4. Poll for Task Result

Use the task ID to check the status:

curl --request GET \
  --url https://yce-api-01.makeupar.com/s2s/v2.0/task/hat/SaGaqpDgKwFrVBgMpQMA3HY0LeqdT9_13W5TOD8_u_GPi6NqQ3dhlmN-6ntFwhzT \
  --header 'Authorization: Bearer YOUR_API_KEY' \
  --header 'content-type: application/json'

Step 5. Retrieve Result

A successful response includes a download URL for the result image:

{
  "status": 200,
  "data": {
    "error": null,
    "results": {
      "url": "https://yce-us.s3-accelerate.amazonaws.com/demo/ttl30/...signature..."
    },
    "task_status": "success"
  }
}

Invalid API Key error response:

{
  "status": 401,
  "error": "Unauthorized",
  "error_code": "InvalidAccessToken"
}

File Specs & Errors

AI Hat Virtual Try-On Specification
- Image Requirements

Type	Minimum Resolution	Notes
Selfie	512 × 512	Face visible, head-to-chest preferred
Hat	512 × 512 (product) 800 × 800 (worn)	Clear, unobstructed hat view

Supported Hat Image

Product Image Requirements
- Minimum resolution: 512 × 512 pixels
- Only one product per image
- The product should cover more than 25% of the image height

Worn Image Requirements
- Minimum resolution: 800 × 800 pixels
- Single Item Requirement: The model must wear exactly one item. Multiple items or accessories are not permitted.
- Coverage Ratio: The worn item must occupy more than 20% of the total image height. This ensures the item is clearly visible and prominent within the frame.

Supported Selfie View

Recommended image resolution: at least 512 × 512 pixels.
Recommended face coverage: more than 15% of the image height.
Single Subject Requirement: The image must contain exactly one human subject. No additional people or partial figures are allowed.
Face Visibility: The subject's face must be fully visible without obstruction. Hair, accessories, or objects should not cover key facial features.
Framing: The image must include at least a head shot, covering the area from the top of the head to the chest. A half-body shot (head to waist) is preferred for optimal analysis.

Try-on Styles

There are five predefined styles for generating the virtual try-on output: "style_sporty_casual" "style_urban_fashion" "style_vacation_casual" "style_warm_cozy" and "style_bohemian". You can specify this style parameter when creating an AI task or allow the system to select a style at random by default.

style_vacation_casual

Supported Formats & Dimensions

AI Feature	Supported Dimensions	Supported File Size	Supported Formats
AI Hat Virtual Try-On	Input: long side <= 4096 Output: 896 x 1152	< 10MB	jpg/jpeg/png/heic

Error Codes

Error Code	Description
error_download_image	Failed to download source or reference image
error_inference	Inference pipeline error
error_no_face	No face detected in source image
error_nsfw_content_detected	NSFW content detected in result
exceed_max_filesize	File size exceeds 10 MB
invalid_parameter	Invalid gender or style value
unknown_internal_error	Other internal errors

Environment & Dependency

Sample Code Language / Tool	Recommended Runtime Versions
cURL	- bash >= 3.2 - curl >= 7.58 (modern TLS/HTTP support) - jquery >= 1.6 (robust JSON parsing)
Node.js (JavaScript)	Node >= 18 (for global fetch)
JavaScript	- Chrome / Edge >= 80 - Firefox >= 74 - Safari >= 13.1
PHP	PHP >= 7.4 (for modern TLS/compat), ext-curl (recommended) or allow_url_fopen=On + ext-openssl, ext-json
Python	Python >= 3.10 (for f-strings), requests >= 2.20.0
Java	Java 11+ (for HttpClient), Jackson Databind >= 2.12.0

Unit Consumption

AI Feature	Unit Consumed
AI Hat Virtual Try-On V2.0	2

Download OpenAPI description

ai_hat.json

ai_hat.yaml

Overview

E-mail

YouCamOnlineEditor_API@perfectcorp.com

License

Languages

Servers

https://yce-api-01.makeupar.com