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AILabTools API - Intelligent Composition - API

Request

  • URL: https://www.ailabapi.com/api/image/editing/intelligent-composition
  • Method: POST
  • Content-Type: multipart/form-data

Image requirements

  • Image format: JPEG JPG PNG BMP WEBP
  • Image size: No more than 3 MB.
  • Image resolution: Larger than 32x32px, smaller than 4096x4096px.
FieldRequiredTypeDescription
ailabapi-api-keyYESstringApplication API KEY. Get API KEY

Body

FieldRequiredTypeScopeDefaultsDescription
imageYESfile
num_boxesNOinteger
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  • 5The number of output boxes.

    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
    error_codeintegerStatus Code.
    error_code_strstringError Code.
    error_msgstringError Message.
    request_idstringRequest ID.
    log_idstringLog ID.
    dataobjectThe content of the result data returned.
    +elementsarrayIntelligent composition results.
    ++min_xintegerThe horizontal coordinate of the upper-left corner of the output box.
    ++max_xintegerThe horizontal coordinate of the lower-right corner of the output box.
    ++min_yintegerThe vertical coordinate of the upper-left corner of the output box.
    ++max_yintegerThe lower-right vertical coordinate of the output box.
    ++scorefloatThe higher the score, the better the composition. 3.8 or above is recommended as a better composition score.

    Example

    {
    "request_id": "",
    "log_id": "",
    "error_code": 0,
    "error_code_str": "",
    "error_msg": "",
    "error_detail": {
    "status_code": 200,
    "code": "",
    "code_message": "",
    "message": ""
    },
    "data": {
    "elements": [
    {
    "min_x": 0,
    "max_x": 0,
    "min_y": 0,
    "max_y": 0,
    "score": 0
    }
    ]
    }
    }

    Code example