curl --request POST \
  --url https://modelslab.com/api/v6/image_editing/outpaint \
  --header 'Content-Type: application/json' \
  --data '
{
  "key": "<string>",
  "image": "<string>",
  "prompt": "high quality",
  "negative_prompt": "low quality",
  "width": 1280,
  "height": 720,
  "overlap_width": 10,
  "num_inference_steps": 10,
  "guidance_scale": 8,
  "seed": 123,
  "temp": true,
  "base64": false,
  "webhook": "<string>",
  "track_id": 123
}
'

import requests

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

payload = {
    "key": "<string>",
    "image": "<string>",
    "prompt": "high quality",
    "negative_prompt": "low quality",
    "width": 1280,
    "height": 720,
    "overlap_width": 10,
    "num_inference_steps": 10,
    "guidance_scale": 8,
    "seed": 123,
    "temp": True,
    "base64": False,
    "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>',
    image: '<string>',
    prompt: 'high quality',
    negative_prompt: 'low quality',
    width: 1280,
    height: 720,
    overlap_width: 10,
    num_inference_steps: 10,
    guidance_scale: 8,
    seed: 123,
    temp: true,
    base64: false,
    webhook: '<string>',
    track_id: 123
  })
};

fetch('https://modelslab.com/api/v6/image_editing/outpaint', 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/outpaint",
  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>',
    'image' => '<string>',
    'prompt' => 'high quality',
    'negative_prompt' => 'low quality',
    'width' => 1280,
    'height' => 720,
    'overlap_width' => 10,
    'num_inference_steps' => 10,
    'guidance_scale' => 8,
    'seed' => 123,
    'temp' => true,
    'base64' => false,
    '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/outpaint"

	payload := strings.NewReader("{\n  \"key\": \"<string>\",\n  \"image\": \"<string>\",\n  \"prompt\": \"high quality\",\n  \"negative_prompt\": \"low quality\",\n  \"width\": 1280,\n  \"height\": 720,\n  \"overlap_width\": 10,\n  \"num_inference_steps\": 10,\n  \"guidance_scale\": 8,\n  \"seed\": 123,\n  \"temp\": true,\n  \"base64\": false,\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/outpaint")
  .header("Content-Type", "application/json")
  .body("{\n  \"key\": \"<string>\",\n  \"image\": \"<string>\",\n  \"prompt\": \"high quality\",\n  \"negative_prompt\": \"low quality\",\n  \"width\": 1280,\n  \"height\": 720,\n  \"overlap_width\": 10,\n  \"num_inference_steps\": 10,\n  \"guidance_scale\": 8,\n  \"seed\": 123,\n  \"temp\": true,\n  \"base64\": false,\n  \"webhook\": \"<string>\",\n  \"track_id\": 123\n}")
  .asString();

require 'uri'
require 'net/http'

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

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  \"image\": \"<string>\",\n  \"prompt\": \"high quality\",\n  \"negative_prompt\": \"low quality\",\n  \"width\": 1280,\n  \"height\": 720,\n  \"overlap_width\": 10,\n  \"num_inference_steps\": 10,\n  \"guidance_scale\": 8,\n  \"seed\": 123,\n  \"temp\": true,\n  \"base64\": false,\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": {}
}