Paid API service

Liquify Face Face And Body Analysis

Use this visual AI API when the task needs the visual analysis task described by action 对图片中的人脸进行瘦脸处理。. Send the schema keys exactly as listed (ImageURL, SlimDegree); required parameters: ImageURL.

Invocation

Service ID: face-slimming
Method: POST
Endpoint: /api/tools/face-slimming
Legacy Endpoint: /api/tools/aliyun-facebody-liquify-face
MCP Tool: face_slimming
Price: XIAO 0.2

Payment

Call the endpoint without payment to receive HTTP 402 metadata. If payment is required, open xiaopay.top to obtain XIAO, create the guarantee, then retry with X-Payment-Token, an XIAO guarantee header, or MCP paymentToken.

Call POST /api/tools/face-slimming once to receive HTTP 402 with accepts[] requirements. Open https://xiaopay.top to obtain XIAO, create an AI wallet guarantee for merchant_id=aivps.lat and merchant_order_id=payment.paymentId, then retry with X402-Guarantee. If you need the legacy reusable token flow, create a payment with POST /api/payments using serviceId="face-slimming".

Schema And Examples

{
  "exampleRequest": {
    "ImageURL": "https://example.com/image.jpg"
  },
  "exampleResponse": {
    "code": "200",
    "content": "",
    "data": {
      "Action": "LiquifyFace",
      "Result": "example result from Alibaba Cloud facebody"
    },
    "message": "success",
    "requestId": "example-request-id"
  },
  "inputSchema": {
    "description": "Use Alibaba Cloud RPC parameter names exactly, for example ImageURL, ImageUrl, Url, URL, JobId, or Tasks depending on the service.",
    "properties": {
      "ImageURL": {
        "description": "Public http or https image URL accepted by the Alibaba Cloud API.",
        "format": "uri",
        "type": "string"
      },
      "SlimDegree": {
        "description": "Alibaba Cloud RPC parameter SlimDegree.",
        "type": "number"
      }
    },
    "required": [
      "ImageURL"
    ],
    "type": "object"
  },
  "outputSchema": {
    "properties": {
      "code": {
        "type": "string"
      },
      "content": {
        "type": "string"
      },
      "data": {
        "type": "object"
      },
      "message": {
        "type": "string"
      },
      "requestId": {
        "type": "string"
      }
    },
    "required": [
      "requestId",
      "data"
    ],
    "type": "object"
  }
}