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POST
/
image_editing
/
fashion
Fashion try-on
curl --request POST \
  --url https://modelslab.com/api/v6/image_editing/fashion \
  --header 'Content-Type: application/json' \
  --data '
{
  "key": "<string>",
  "init_image": "<string>",
  "cloth_image": "<string>",
  "prompt": "<string>",
  "negative_prompt": "<string>",
  "temp": "no",
  "guidance_scale": 10,
  "webhook": "<string>",
  "track_id": 123
}
'
import requests

url = "https://modelslab.com/api/v6/image_editing/fashion"

payload = {
"key": "<string>",
"init_image": "<string>",
"cloth_image": "<string>",
"prompt": "<string>",
"negative_prompt": "<string>",
"temp": "no",
"guidance_scale": 10,
"webhook": "<string>",
"track_id": 123
}
headers = {"Content-Type": "application/json"}

response = requests.post(url, json=payload, headers=headers)

print(response.text)
const options = {
method: 'POST',
headers: {'Content-Type': 'application/json'},
body: JSON.stringify({
key: '<string>',
init_image: '<string>',
cloth_image: '<string>',
prompt: '<string>',
negative_prompt: '<string>',
temp: 'no',
guidance_scale: 10,
webhook: '<string>',
track_id: 123
})
};

fetch('https://modelslab.com/api/v6/image_editing/fashion', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));
<?php

$curl = curl_init();

curl_setopt_array($curl, [
CURLOPT_URL => "https://modelslab.com/api/v6/image_editing/fashion",
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => "",
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 30,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => "POST",
CURLOPT_POSTFIELDS => json_encode([
'key' => '<string>',
'init_image' => '<string>',
'cloth_image' => '<string>',
'prompt' => '<string>',
'negative_prompt' => '<string>',
'temp' => 'no',
'guidance_scale' => 10,
'webhook' => '<string>',
'track_id' => 123
]),
CURLOPT_HTTPHEADER => [
"Content-Type: application/json"
],
]);

$response = curl_exec($curl);
$err = curl_error($curl);

curl_close($curl);

if ($err) {
echo "cURL Error #:" . $err;
} else {
echo $response;
}
package main

import (
"fmt"
"strings"
"net/http"
"io"
)

func main() {

url := "https://modelslab.com/api/v6/image_editing/fashion"

payload := strings.NewReader("{\n \"key\": \"<string>\",\n \"init_image\": \"<string>\",\n \"cloth_image\": \"<string>\",\n \"prompt\": \"<string>\",\n \"negative_prompt\": \"<string>\",\n \"temp\": \"no\",\n \"guidance_scale\": 10,\n \"webhook\": \"<string>\",\n \"track_id\": 123\n}")

req, _ := http.NewRequest("POST", url, payload)

req.Header.Add("Content-Type", "application/json")

res, _ := http.DefaultClient.Do(req)

defer res.Body.Close()
body, _ := io.ReadAll(res.Body)

fmt.Println(string(body))

}
HttpResponse<String> response = Unirest.post("https://modelslab.com/api/v6/image_editing/fashion")
.header("Content-Type", "application/json")
.body("{\n \"key\": \"<string>\",\n \"init_image\": \"<string>\",\n \"cloth_image\": \"<string>\",\n \"prompt\": \"<string>\",\n \"negative_prompt\": \"<string>\",\n \"temp\": \"no\",\n \"guidance_scale\": 10,\n \"webhook\": \"<string>\",\n \"track_id\": 123\n}")
.asString();
require 'uri'
require 'net/http'

url = URI("https://modelslab.com/api/v6/image_editing/fashion")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Post.new(url)
request["Content-Type"] = 'application/json'
request.body = "{\n \"key\": \"<string>\",\n \"init_image\": \"<string>\",\n \"cloth_image\": \"<string>\",\n \"prompt\": \"<string>\",\n \"negative_prompt\": \"<string>\",\n \"temp\": \"no\",\n \"guidance_scale\": 10,\n \"webhook\": \"<string>\",\n \"track_id\": 123\n}"

response = http.request(request)
puts response.read_body
{
  "status": "success",
  "generationTime": 123,
  "id": 123,
  "output": [
    "<string>"
  ],
  "proxy_links": [
    "<string>"
  ],
  "meta": {}
}

Fashion

Fashion endpoint result

Request

Make a POST request to below endpoint and pass the required parameters as a request body to the endpoint.
curl
--request POST 'https://modelslab.com/api/v6/image_editing/fashion' \

Body

json
{   
       "key": "your_api_key",   
       "prompt": ":A realistic photo of a model wearing a beautiful t-shirt",   
       "negative_prompt": "Low quality, unrealistic, bad cloth, warped cloth",   
       "init_image": "https://assets.modelslab.ai/generations/9f8b17c2-5b41-42da-8bcb-290710eb53bd.png",   
       "cloth_image": "https://assets.modelslab.ai/generations/8e7ff52e-124b-4f6a-a04a-3340f41a1bc0.png",   
       "cloth_type": "upper_body",   
       "guidance_scale": 7.5,   
       "num_inference_steps": 21,   
       "seed": null,   
       "temp": "no",   
       "webhook": null,   
       "track_id": null 
}

Body

application/json
key
string
required

Your API Key used for request authorization

init_image
string<uri>
required

The URL of the image of the model to try the dress on

cloth_image
string<uri>
required

The URL of the cloth/dress to try on

cloth_type
enum<string>
required

Type of garment

Available options:
upper_body,
lower_body,
dresses
prompt
string

The text prompt describing the things you want in the image

negative_prompt
string

Items you do not want in the image

num_inference_steps
enum<integer>

The number of denoising steps

Available options:
21,
31,
41
temp
enum<string>
default:no

Set to yes for proxy links

Available options:
yes,
no
guidance_scale
integer

The scale for classifier-free guidance

Required range: 1 <= x <= 20
webhook
string<uri>

URL to receive POST API call when complete

track_id
integer

ID for webhook identification

Response

200 - application/json

Fashion try-on response

status
enum<string>
Available options:
success
generationTime
number

Time taken to generate the image in seconds

id
integer

Unique identifier for the generation request

output
string<uri>[]

Array of generated image URLs

Array of proxy image URLs

meta
object

Metadata about the generation process