curl --request POST \
  --url https://api.magnific.com/v1/ai/image-upscaler-precision-v2 \
  --header 'Content-Type: application/json' \
  --header 'x-magnific-api-key: <api-key>' \
  --data '
{
  "image": "<string>",
  "webhook_url": "<string>",
  "sharpen": 7,
  "smart_grain": 7,
  "ultra_detail": 30,
  "scale_factor": 9,
  "filter_nsfw": false
}
'

import requests

url = "https://api.magnific.com/v1/ai/image-upscaler-precision-v2"

payload = {
    "image": "<string>",
    "webhook_url": "<string>",
    "sharpen": 7,
    "smart_grain": 7,
    "ultra_detail": 30,
    "scale_factor": 9,
    "filter_nsfw": False
}
headers = {
    "x-magnific-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-magnific-api-key': '<api-key>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    image: '<string>',
    webhook_url: '<string>',
    sharpen: 7,
    smart_grain: 7,
    ultra_detail: 30,
    scale_factor: 9,
    filter_nsfw: false
  })
};

fetch('https://api.magnific.com/v1/ai/image-upscaler-precision-v2', 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.magnific.com/v1/ai/image-upscaler-precision-v2",
  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' => '<string>',
    'webhook_url' => '<string>',
    'sharpen' => 7,
    'smart_grain' => 7,
    'ultra_detail' => 30,
    'scale_factor' => 9,
    'filter_nsfw' => false
  ]),
  CURLOPT_HTTPHEADER => [
    "Content-Type: application/json",
    "x-magnific-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.magnific.com/v1/ai/image-upscaler-precision-v2"

	payload := strings.NewReader("{\n  \"image\": \"<string>\",\n  \"webhook_url\": \"<string>\",\n  \"sharpen\": 7,\n  \"smart_grain\": 7,\n  \"ultra_detail\": 30,\n  \"scale_factor\": 9,\n  \"filter_nsfw\": false\n}")

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

	req.Header.Add("x-magnific-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.magnific.com/v1/ai/image-upscaler-precision-v2")
  .header("x-magnific-api-key", "<api-key>")
  .header("Content-Type", "application/json")
  .body("{\n  \"image\": \"<string>\",\n  \"webhook_url\": \"<string>\",\n  \"sharpen\": 7,\n  \"smart_grain\": 7,\n  \"ultra_detail\": 30,\n  \"scale_factor\": 9,\n  \"filter_nsfw\": false\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.magnific.com/v1/ai/image-upscaler-precision-v2")

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

request = Net::HTTP::Post.new(url)
request["x-magnific-api-key"] = '<api-key>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"image\": \"<string>\",\n  \"webhook_url\": \"<string>\",\n  \"sharpen\": 7,\n  \"smart_grain\": 7,\n  \"ultra_detail\": 30,\n  \"scale_factor\": 9,\n  \"filter_nsfw\": false\n}"

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