Virtual Try-on Submit API Reference

Virtual Try-On Submit API

POST /ai/virtual/tryon

Description

Supports uploading individual clothing item image URLs and clothing types. Generates real-time virtual try-on images based on the selected model type.

Request Parameters

The request parameter is requestParams, which is of type Object[]. The internal structure is as follows:

clothesList		Object[]	Yes	A list of images for virtual try-on. Currently, only single garment try-on is supported.
	imageUrl	String	Yes	URL of the clothing image. The resolution should be greater than 500x500 pixels and up to a maximum of 3000x3000 pixels.
	type	String	No	The types of clothing. "tops": Upper body clothing such as T-shirts, shirts, sweatshirts, pullovers, etc. "dresses": Single-piece garments such as dresses, long coats, jumpsuits, etc. Default automatic recognition of clothing types is available, but manual input is more effective.
modelImage		String[]	No	A list of URLs for user-uploaded model images. If provided, these images will be prioritized for generating results. The number of generated images will depend on the number of model images you upload. If no model images are provided, you can use the model parameter to select a model from the model library. A maximum of 8 model images can be processed in a single request. Example: ["URL1", "URL2"] Default is empty.
model		Object	No	Users can select the type of model or a specific model from the model base.
	base	String	No	Specifies the model library to be used. If a customized model library is available for your business, you can call the customized model library by providing the specific scene code if exists. "General": General model library. Default is "General".
	name	String	No	The name of the model. You can specify a particular model from the model library by providing the model's name. Refer to the model library documentation for the list of available model names. Once a model name is specified, the other model parameters will become ineffective. Example: "Ariel" Default is empty.
	gender	String	No	The gender of the model for virtual try-on: "male": Male model "female": Female model Default is "female".
	style	String	No	The style of the model for virtual try-on "universal_1"：example1 "universal_2"：example2 "universal_3"：example3 If using a customized model for your business, please refer to the model base reference doc for specific style tags.
	body	String	No	The body type of the model for virtual try-on "slim": slim model "curvy": plus-size model Default is "slim".
viewType		String	No	The perspective for the generated images: "fullbody": Full body view "halfbody": Half body view "mixed": Mixed full body and half body views Default is "fullbody".
generateCount		Number	No	The number of images to be generated, supporting an input range of 1 to 8. Default is 4.
inputQualityDetect		Number	No	Whether to automatically filter out low-quality or incomplete flat-lay input images: "1": Yes, filter low-quality images "0": No, do not filter low-quality images Default is 0. It is recommended to enable this option in batch scenarios or when image quality is inconsistent.

Sample Request

Specify the model type for virtual try-on:

JSON

IopClient client = new IopClient(url, appkey, appSecret);
IopRequest request = new IopRequest();
request.setApiName("/ai/virtual/tryon");
request.addApiParameter("requestParams", "[{\"clothesList\":[{\"imageUrl\":\"https://ae-pic-a1.aliexpress-media.com/kf/H7588ee37b7674fea814b55f2f516fda1z.jpg\",\"type\":\"tops\"}],\"model\":{\"base\":\"General\",\"gender\":\"female\",\"style\":\"universal_1\",\"body\":\"slim\"},\"viewType\":\"mixed\",\"inputQualityDetect\":0,\"generateCount\":4}]");
IopResponse response = client.execute(request);
System.out.println(response.getBody());
Thread.sleep(10);

Specify the model for virtual try-on:

JSON

IopClient client = new IopClient(url, appkey, appSecret);
IopRequest request = new IopRequest();
request.setApiName("/ai/virtual/tryon");
String newRequestParams = "[{\"requestParams\":{\"clothesList\":[{\"imageUrl\":\"https://ae-pic-a1.aliexpress-media.com/kf/H7588ee37b7674fea814b55f2f516fda1z.jpg\",\"type\":\"tops\"}],\"model\":{\"base\":\"General\",\"name\":\"James\"},\"viewType\":\"mixed\",\"inputQualityDetect\":0,\"generateCount\":4}}]";
request.addApiParameter("requestParams", newRequestParams);
IopResponse response = client.execute(request);
System.out.println(response.getBody());
Thread.sleep(10);

Upload your own model image for virtual try-on:

JSON

IopClient client = new IopClient(url, appkey, appSecret);
IopRequest request = new IopRequest();
request.setApiName("/ai/virtual/tryon");
String newRequestParams = "[{\"requestParams\":{\"clothesList\":[{\"imageUrl\":\"https://ae-pic-a1.aliexpress-media.com/kf/H7588ee37b7674fea814b55f2f516fda1z.jpg\",\"type\":\"tops\"}],\"modelImage\":[\"http://ai-business-algo-pai.oss-ap-southeast-1.aliyuncs.com/pengxin.zpx%2Fdatasets%2Ftest_images%2F365b8862-71cb-11ef-a6f9-964d09221cfd.png?OSSAccessKeyId=LTAI5tAGoBnm5eYsnZ5E1zMr&Expires=1883910332&Signature=ebJZT4eoEN3kpsSiSpK4minOdRM%3D\"]}}]";
request.addApiParameter("requestParams", newRequestParams);
IopResponse response = client.execute(request);
System.out.println(response.getBody());
Thread.sleep(10);

Response Parameters

Parameter	Type	Description
resCode	Number	The returned result code, where 200 indicates success. For detailed error codes, please refer to the error code list.
data	Object	The returned JSON result data. the task id can be used to query the generation api to obtain results
requestId	String	A unique request ID used for troubleshooting.
success	Boolean	The status of the returned request, indicating whether the request was successful.
resMessage	String	The returned request information.

Sample Response

JSON

{
  "code": "0",
  "data": {
    "result": "{\"taskId\":\"1ce4fd33-b9d5-4e21-a24c-0c4027d2b105\"}"
  },
  "requestId": "212cd83017085872506144758e3fca",
  "success": "true",
  "resCode": "200",
  "resMessage": "success",
  "request_id": "0ba2887315178178017221014"
}

Error Code

code	msg	Description
500	system error	System error.
501	rate limit exceed	The current interface has reached the current limit. Please contact us via navigation bar or email us ([e-mail]) to increase the current limit value.
700	invalid input	The format of the input parameters does not meet the requirements, and resMessage will return detailed fields that do not meet the requirements.
701	Clothing image dowloading failed, please try another input	Clothing image dowloading failed, please try another image url.
703	Input clothes image resoulution low, please try other image	The resolution of the clothing image does not meet the requirements. Please try another image.
707	Input clothing image is not a complete flat lay. Please try another image.	The clothing image is not a complete flat lay and does not meet the quality requirements for virtual try-on. Please try another image.
1001	content control failed, please retry	Content risk failed, please try other input. If an error persists,please contact us via navigation bar or email us ([e-mail]) for troubleshooting.
1002	content risk filter failed, please contact us	Content risk failed, please ccontact us via navigation bar or email us ([e-mail]).