lightweight-ai/lwjay4 | API reference

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Run lightweight-ai/lwjay4 with an API

Use one of our client libraries to get started quickly. Clicking on a library will take you to the Playground tab where you can tweak different inputs, see the results, and copy the corresponding code to use in your own project.

Input schema

The fields you can use to run this model with an API. If you don't give a value for a field its default value will be used.

Field	Type	Default value	Description
image	string		Input image path or URL for background removal
weights	None	General	Model variant to use
resolution	string	1024x1024	Output resolution as WxH divisible by 32, e.g., '1024x1024'
version	number	0	API version number. Different versions may produce different results.

{
  "type": "object",
  "title": "Input",
  "required": [
    "image"
  ],
  "properties": {
    "image": {
      "type": "string",
      "title": "Image",
      "x-order": 0,
      "description": "Input image path or URL for background removal"
    },
    "version": {
      "type": "number",
      "title": "Version",
      "default": 0,
      "x-order": 3,
      "description": "API version number. Different versions may produce different results."
    },
    "weights": {
      "enum": [
        "General",
        "General-HR",
        "Matting-HR",
        "Matting",
        "Portrait",
        "General-reso_512",
        "General-Lite",
        "General-Lite-2K",
        "Anime-Lite",
        "DIS",
        "HRSOD",
        "COD",
        "DIS-TR_TEs",
        "General-legacy",
        "General-dynamic"
      ],
      "type": "string",
      "title": "weights",
      "description": "Model variant to use",
      "default": "General",
      "x-order": 1
    },
    "resolution": {
      "type": "string",
      "title": "Resolution",
      "default": "1024x1024",
      "x-order": 2,
      "description": "Output resolution as WxH divisible by 32, e.g., '1024x1024'"
    }
  }
}

Output schema

The shape of the response you’ll get when you run this model with an API.

Schema

{
  "type": "string",
  "title": "Output",
  "format": "uri"
}