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AILabTools API - Lips Color Changer - API

Request

  • URL: https://www.ailabapi.com/api/portrait/effects/lips-color-changer
  • Method: POST
  • Content-Type: multipart/form-data

Image requirements

  • Image format: JPEG JPG PNG BMP
  • Image size: No more than 5 MB.
  • Image resolution: Less than 4096x4096px.
FieldRequiredTypeDescription
ailabapi-api-keyYESstringApplication API KEY. Get API KEY

Body

FieldRequiredTypeDescription
imageYESfile
lip_color_infosYESjson stringLip Color Info. You can enter up to 3 lip_color_info to enable changing the lip color for up to 3 faces in a graph. Description

lip_color_infos

FieldRequiredTypeScopeDescription
rgbaYESobjectLip color.
+rYESinteger[0, 255]R channel values.
+gYESinteger[0, 255]G channel values.
+bYESinteger[0, 255]B channel values.
+aYESinteger[0, 100]A channel values. Transparency, the smaller the value, the more transparent.
face_rectNOobjectFace box position. If not entered the face with the largest area in the image is selected. You can use the Face Analyzer API or Facial Landmarks API to get face frame position information.
+xYESintegerHorizontal coordinate of the upper left corner of the face box.
+yYESintegerThe vertical coordinate of the upper left corner of the face box.
+widthYESintegerFace frame width.
+heightYESintegerFace frame height.
Example
{
"lip_color_infos": '[{"rgba":{"r":246,"g":27,"b":91,"a":100}}]'
}
{
"lip_color_infos": '[{"rgba":{"r":246,"g":27,"b":91,"a":100},"face_rect":{"x":0,"y":0,"width":0,"height":0}}]'
}

Response

Processing Flow
  1. Handle Public Parameters:

    First, parse and validate the Public Parameters, checking the status code or response message to ensure the request is successful and no errors are present.

  2. Handle Business Parameters:

    If the public parameters are valid and no exceptions are found, proceed to process the business logic in the Business Parameters.

Public Parameters

Viewing Public Parameters and Error Codes

Business Parameters

FieldTypeDescription
result_imagestringReturns the base64 data of the processed image.

Example

{
"request_id": "",
"log_id": "",
"error_code": 0,
"error_code_str": "",
"error_msg": "",
"error_detail": {
"status_code": 200,
"code": "",
"code_message": "",
"message": ""
},
"result_image": ""
}

Code example

If you'd like to see the actual effects, please visit the experience page for a trial.