curl --request POST \
  --url https://api.legnext.ai/api/v1/enhance-upscale \
  --header 'Content-Type: application/json' \
  --header 'x-api-key: <api-key>' \
  --data '
{
  "image_url": "https://example.com/photo.jpg",
  "jobId": "1868588555208310784",
  "imageNo": 0,
  "target_resolution": "4K",
  "content_type": "photo",
  "aspect_ratio": "keep",
  "crop_mode": "letterbox",
  "output_format": "jpeg",
  "face_enhancement_level": "moderate",
  "callback": "https://your-domain.com/webhook"
}
'

import requests

url = "https://api.legnext.ai/api/v1/enhance-upscale"

payload = {
    "image_url": "https://example.com/photo.jpg",
    "jobId": "1868588555208310784",
    "imageNo": 0,
    "target_resolution": "4K",
    "content_type": "photo",
    "aspect_ratio": "keep",
    "crop_mode": "letterbox",
    "output_format": "jpeg",
    "face_enhancement_level": "moderate",
    "callback": "https://your-domain.com/webhook"
}
headers = {
    "x-api-key": "<api-key>",
    "Content-Type": "application/json"
}

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

print(response.text)

const options = {
  method: 'POST',
  headers: {'x-api-key': '<api-key>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    image_url: 'https://example.com/photo.jpg',
    jobId: '1868588555208310784',
    imageNo: 0,
    target_resolution: '4K',
    content_type: 'photo',
    aspect_ratio: 'keep',
    crop_mode: 'letterbox',
    output_format: 'jpeg',
    face_enhancement_level: 'moderate',
    callback: 'https://your-domain.com/webhook'
  })
};

fetch('https://api.legnext.ai/api/v1/enhance-upscale', 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://api.legnext.ai/api/v1/enhance-upscale",
  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([
    'image_url' => 'https://example.com/photo.jpg',
    'jobId' => '1868588555208310784',
    'imageNo' => 0,
    'target_resolution' => '4K',
    'content_type' => 'photo',
    'aspect_ratio' => 'keep',
    'crop_mode' => 'letterbox',
    'output_format' => 'jpeg',
    'face_enhancement_level' => 'moderate',
    'callback' => 'https://your-domain.com/webhook'
  ]),
  CURLOPT_HTTPHEADER => [
    "Content-Type: application/json",
    "x-api-key: <api-key>"
  ],
]);

$response = curl_exec($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://api.legnext.ai/api/v1/enhance-upscale"

	payload := strings.NewReader("{\n  \"image_url\": \"https://example.com/photo.jpg\",\n  \"jobId\": \"1868588555208310784\",\n  \"imageNo\": 0,\n  \"target_resolution\": \"4K\",\n  \"content_type\": \"photo\",\n  \"aspect_ratio\": \"keep\",\n  \"crop_mode\": \"letterbox\",\n  \"output_format\": \"jpeg\",\n  \"face_enhancement_level\": \"moderate\",\n  \"callback\": \"https://your-domain.com/webhook\"\n}")

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

	req.Header.Add("x-api-key", "<api-key>")
	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://api.legnext.ai/api/v1/enhance-upscale")
  .header("x-api-key", "<api-key>")
  .header("Content-Type", "application/json")
  .body("{\n  \"image_url\": \"https://example.com/photo.jpg\",\n  \"jobId\": \"1868588555208310784\",\n  \"imageNo\": 0,\n  \"target_resolution\": \"4K\",\n  \"content_type\": \"photo\",\n  \"aspect_ratio\": \"keep\",\n  \"crop_mode\": \"letterbox\",\n  \"output_format\": \"jpeg\",\n  \"face_enhancement_level\": \"moderate\",\n  \"callback\": \"https://your-domain.com/webhook\"\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.legnext.ai/api/v1/enhance-upscale")

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

request = Net::HTTP::Post.new(url)
request["x-api-key"] = '<api-key>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"image_url\": \"https://example.com/photo.jpg\",\n  \"jobId\": \"1868588555208310784\",\n  \"imageNo\": 0,\n  \"target_resolution\": \"4K\",\n  \"content_type\": \"photo\",\n  \"aspect_ratio\": \"keep\",\n  \"crop_mode\": \"letterbox\",\n  \"output_format\": \"jpeg\",\n  \"face_enhancement_level\": \"moderate\",\n  \"callback\": \"https://your-domain.com/webhook\"\n}"

response = http.request(request)
puts response.read_body

{
  "code": 400,
  "message": "Invalid request, image_url must start with http:// or https://",
  "raw_message": "image_url must start with http:// or https://",
  "detail": null
}

{
  "code": 401,
  "message": "Failed to verify api key",
  "raw_message": "",
  "detail": null
}

{
  "code": 402,
  "message": "insufficient quota",
  "raw_message": "insufficient quota",
  "detail": null
}

{
  "code": 403,
  "message": "Forbidden - Sensitive content detected",
  "raw_message": "Forbidden - Sensitive content detected",
  "detail": null
}

{
  "code": 413,
  "message": "File size exceeds maximum limit (100MB)",
  "raw_message": "file too large: exceeded 100MB",
  "detail": null
}

{
  "code": 422,
  "message": "Invalid parameter values",
  "raw_message": "target_resolution must be one of HD, FHD, 2K, 4K, 6K, 8K, 12K",
  "detail": null
}

{
  "code": 429,
  "message": "rate limit exceeded, please retry later",
  "raw_message": "rate limit exceeded, please retry later",
  "detail": null
}

{
  "code": 500,
  "message": "Internal server error",
  "raw_message": "Internal server error",
  "detail": null
}