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".

Headers

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.
dilate_size	NO	integer	[1, +]	15	Mask Dilation Radius. The mask used for object removal should fully encompass the target object. When users manually draw the mask, it often extends beyond the object's boundary. However, if the mask is generated by a segmentation algorithm, it typically adheres closely to the object's edges, which might leave parts of the object uncovered. This can lead to incomplete removal or unexpected artifacts during generation. To avoid such issues, it's recommended to appropriately increase the dilate_size parameter to ensure the mask fully covers the object.
quality	NO	string	H M L	M	Quality Parameter. H: High quality — best output quality, but slightly slower processing. M: Medium quality — balanced in both quality and speed. L: Low quality — fastest processing, suitable for scenarios where speed is prioritized.

Response

Response Field Handling Flow

1. Handle Public Response Fields

   Parse and validate the Public Response Fields, checking the status code or response message to ensure the request is successful and error-free.

2. Handle Business Response Fields

   If the Public Response Fields are valid and error-free, proceed with processing the business logic in the Business Response Fields.

Public Response Fields

Viewing Public Response Fields and Error Codes

Business Response Fields

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).

Response Example

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

Sample Code

• Introduction to Get Sample Code
• Sample Code