Virtual Try-On
April 18, 2025 (October 20, 2026)
Table of contents
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 tokenis 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"
}
-
emailis optional. Leave it out and the job goes to one of your accounts that has a free job slot, picked at random. Each account runs at most itsmaxJobsjobs at once, and GET scheduler/available shows the free slots. If no account has a free slot, the response is429.
Passemailto run the job on that account (429if it is busy). Uploaded files, elements, voices, avatars and earlier tasks belong to one account, so pass theemailof the account they came from.
With more than one account, reading the task with GET tasks/task_idneeds its account’semail. The response’stask.userIdis that account’ssession.userIdin GET accounts, and GET scheduler lists each running task with itsemail. -
humanImageis required, URL to a real photo of a person. Kling refuses AI-generated illustrations and images without a person.
Must be a valid http/https URL. Images can be uploaded using POST /assets and the returned URLs can be used here. -
dressInputURL to a full-dress image to try on.
Incompatible with upperInput and lowerInput. Images can be uploaded using POST /assets. -
upperInputURL to an upper garment image.
Incompatible with dressInput. Images can be uploaded using POST /assets. -
lowerInputURL to a lower garment image.
Incompatible with dressInput. Images can be uploaded using POST /assets. -
imageCountis optional, range from1to4.
Default is1. -
maxJobsis optional, range from1to50.
Specifies the maximum number of concurrent jobs. -
replyUrlis optional, a callback URL to receive generation progress and result.
See GET /tasks/task_idfor response model. -
replyRefis optional, a reference identifier for the callback.
Note: You must provide at least one of: dressInput, upperInput, or lowerInput.
Responses
-
{ "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 } -
The parameters are invalid, or Kling refused one of the images. When Kling refuses the submitted parameters,
errorcarries Kling’s own message.{ "error": "At least one of dressInput, upperInput or lowerInput must be provided" }{ "error": "Kling refused humanImage (https://s15-kling.klingai.com/kimg/…). Use a real photo of a person (BASE.BadRequest)." } -
{ "error": "Unauthorized", "code": 401 } -
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" } -
Kling uses a
500response to indicate moderation and other issues with the input. It may be hard to separate actual 500 errors from moderation errors, so use theerrorfield text and your best judgement to tell them apart, since themessagefield 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())