POST images/virtual-try-on

Virtual Try-On

April 18, 2025 (October 1, 2025)

Request Headers
Request Body
Responses
Model
Examples
Try It

This endpoint allows you to create virtual try-on images with Kling AI by providing a human image and clothing items.

https://api.useapi.net/v1/kling/images/virtual-try-on

Request Headers

Authorization: Bearer {API token}
Content-Type: application/json
# Alternatively you can use multipart/form-data
# Content-Type: multipart/form-data

API token is required, see Setup useapi.net for details.

Request Body

{
  "email": "[email protected]",
  "humanImage": "https://example.com/person.jpg",
  "dressInput": "https://example.com/dress.jpg",
  "imageCount": 2,
  "replyUrl": "https://your-callback-url.com/webhook",
  "replyRef": "your-reference-id"
}

email is optional when only one account configured.
However, if you have multiple accounts configured, this parameter becomes required.
humanImage is required, URL to the image of a person.
Must be a valid http/https URL. Images can be uploaded using POST /assets and the returned URLs can be used here.
dressInput URL to a full-dress image to try on.
Incompatible with upperInput and lowerInput. Images can be uploaded using POST /assets.
upperInput URL to an upper garment image.
Incompatible with dressInput. Images can be uploaded using POST /assets.
lowerInput URL to a lower garment image.
Incompatible with dressInput. Images can be uploaded using POST /assets.
imageCount is optional, range from 1 to 4.
Default is 1.
maxJobs is optional, range from 1 to 50.
Specifies the maximum number of concurrent jobs.
replyUrl is optional, a callback URL to receive generation progress and result.
See GET /tasks/task_id for response model.
replyRef is optional, a reference identifier for the callback.

Note: You must provide at least one of: dressInput, upperInput, or lowerInput.

Responses

200 OK

{
  "task": {
    "id": 123456789,
    "userId": 12345,
    "type": "mmu_img2img_aitryon",
    "scene": "NORMAL_CREATION",
    "status": 5,
    "status_name": "submitted",
    "status_final": false,
    "taskInfo": {
      "type": "mmu_img2img_aitryon",
      "inputs": [
        {
          "name": "humanImage",
          "inputType": "URL",
          "token": null,
          "blobStorage": null,
          "url": "https://example.com/person.jpg",
          "cover": null,
          "fromWorkId": null
        },
        {
          "name": "dressInput",
          "inputType": "URL",
          "token": null,
          "blobStorage": null,
          "url": "https://example.com/dress.jpg",
          "cover": null,
          "fromWorkId": null
        }
      ],
      "arguments": [
        {
          "name": "personType",
          "value": "Female"
        },
        {
          "name": "imageCount",
          "value": "2"
        }
      ],
      "extraArgs": {},
      "callbackPayloads": [],
      "scene": "NORMAL_CREATION"
    },
    "favored": false,
    "deleted": false,
    "viewed": false,
    "createTime": 1745376611075,
    "updateTime": 1745376611075
  },
  "works": [],
  "status": 5,
  "status_name": "submitted",
  "status_final": false,
  "message": "",
  "limitation": {
    "type": "mmu_img2img_aitryon",
    "remaining": 10000,
    "limit": 10000
  },
  "userPoints": {
    "points": [],
    "total": 0
  },
  "userTickets": {
    "ticket": []
  },
  "editProject": null
}

400 Bad Request

{
  "error": "At least one of dressInput, upperInput or lowerInput must be provided"
}

401 Unauthorized

{
  "error": "Unauthorized",
  "code": 401
}

404 Not Found

Kling was unable to locate one of the referenced assets. Make sure to use POST /assets to upload assets.

{
    "error": "Sorry, the requested resource was not found (VALID.ResourceNotFound)",
    "message": "Not Found"
}

500 Internal Server Error

Kling uses a 500 response to indicate moderation and other issues with the input. It may be hard to separate actual 500 errors from moderation errors, so use the error field text and your best judgement to tell them apart, since the message field most often has very generic and perhaps misleading text.
```
{
  "error": "The content you uploaded appears to violate the community guidelines. (CM_EXT.POther)",
  "message": "Service busy (CM_EXT.POther)"
}
```

When successful, the response includes a task ID which can be used to check the status using GET /tasks/task_id.

Model

{ // TypeScript, all fields are optional
    task: {
        id: number
        userId: number
        type: string
        scene: string
        status: number
        status_name: 'submitted' | 'failed' | 'processing' | 'succeed'
        status_final: boolean
        taskInfo: {
            type: string
            inputs: Array<{
                name: string
                inputType: string
                token: string | null
                blobStorage: any | null
                url: string
                cover: string | null
                fromWorkId: number | null
            }>
            arguments: Array<{
                name: string
                value: string
            }>
            extraArgs: Record<string, any>
            callbackPayloads: any[]
            scene: string
        }
        favored: boolean
        deleted: boolean
        viewed: boolean
        createTime: number
        updateTime: number
        viewTime: number
    }
    works: Array<any>
    status: number
    status_name: 'submitted' | 'failed' | 'processing' | 'succeed'
    status_final: boolean
    message: string
    error: string
    limitation: {
        type: string
        remaining: number
        limit: number
    }
    userPoints: {
        points: Array<{
            orderId: string
            type: string
            amount: number
            balance: number
            startTime: number
            endTime: number
        }>
        total: number
    }
    userTickets: {
        ticket: Array<{
            orderId: string
            type: string
            packageType: string
            amount: number
            balance: number
            startTime: number
            endTime: number
        }>
    }
    editProject: any | null
}

Examples

curl -X POST "https://api.useapi.net/v1/kling/images/virtual-try-on" \
   -H "Content-Type: application/json" \
   -H "Authorization: Bearer …" \
   -d '{
     "email": "[email protected]",
     "humanImage": "https://example.com/person.jpg",
     "dressInput": "https://example.com/dress.jpg",
     "imageCount": 2
   }'

const token = "API token";
const email = "Previously configured account email";
const apiUrl = "https://api.useapi.net/v1/kling/images/virtual-try-on"; 
const response = await fetch(apiUrl, {
  method: "POST",
  headers: {
    "Content-Type": "application/json",
    "Authorization": `Bearer ${token}`,
  },
  body: JSON.stringify({
    email: email,
    humanImage: "https://example.com/person.jpg",
    dressInput: "https://example.com/dress.jpg",
    imageCount: 2
  })
});
const result = await response.json();
console.log("response", {response, result});

import requests
token = "API token"
email = "Previously configured account email"
apiUrl = "https://api.useapi.net/v1/kling/images/virtual-try-on"
headers = {
    "Content-Type": "application/json", 
    "Authorization" : f"Bearer {token}"
}
data = {
    "email": email,
    "humanImage": "https://example.com/person.jpg",
    "dressInput": "https://example.com/dress.jpg",
    "imageCount": 2
}
response = requests.post(apiUrl, headers=headers, json=data)
print(response, response.json())