AILabTools API - Remove Objects Advanced - API

Request

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

Image requirements

• Image format: JPEG JPG PNG
• Image size: No more than 5 MB.
• Image resolution: Larger than 64x64px, smaller than 4096x4096px.

Mask image requirements:

1. Single-channel grayscale image (0-255).
2. Three-channel image, with equal RGB values.
3. RGBA four-channel image, with equal RGB values and the A channel all set to 255.
4. File format: 8-bit PNG encoding, do not embed "ICC Profile".

Header

Field	Required	Type	Description
ailabapi-api-key	YES	string	Application API KEY. Get API KEY

Body

Field	Required	Type	Scope	Default	Description
image	YES	file			Original image.
mask	YES	file			Mask image.
steps	NO	integer	[1, +]	30	Sampling steps determine the level of detail in the generated image. A higher value may result in better quality, but it will significantly increase the processing time.
strength	NO	float	[0.1, 1.0]	0.8	The smaller the value, the closer it is to the original image.
scale	NO	float	[1, 20]	7	The degree to which the text description influences the output.
seed	NO	integer	[-1, +]	0	Random seed, used as the basis for determining the initial state of the diffusion process. It must be a non-negative number (-1 represents a random seed). If the random seed is the same positive integer and all other parameters are identical, the generated image will most likely be consistent.

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

Field	Type	Description
data	object	The content of the result data returned.
+binary_data_base64	array of string	Output the processed image as a Base64 array (single image).

Example

{
  "request_id":     "",
  "log_id":         "",
  "error_code":     0,
  "error_code_str": "",
  "error_msg":      "",
  "error_detail":   {
    "status_code":  200,
    "code":         "",
    "code_message": "",
    "message":      ""
  },
  "data":           {
    "binary_data_base64": []
  }
}

Code example

• Introduction
• Code example