curl --request POST \
  --url https://api.gravitex.ai/v1/images/generations \
  --header 'Authorization: <authorization>' \
  --header 'Content-Type: <content-type>' \
  --data '
{
  "model": "<string>",
  "prompt": "<string>",
  "image": [
    "<string>"
  ],
  "n": 123,
  "size": "<string>",
  "quality": "<string>",
  "background": "<string>",
  "output_format": "<string>",
  "output_compression": 123,
  "moderation": "<string>",
  "user": "<string>"
}
'

import requests

url = "https://api.gravitex.ai/v1/images/generations"

payload = {
    "model": "<string>",
    "prompt": "<string>",
    "image": ["<string>"],
    "n": 123,
    "size": "<string>",
    "quality": "<string>",
    "background": "<string>",
    "output_format": "<string>",
    "output_compression": 123,
    "moderation": "<string>",
    "user": "<string>"
}
headers = {
    "Authorization": "<authorization>",
    "Content-Type": "<content-type>"
}

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

print(response.text)

const options = {
  method: 'POST',
  headers: {Authorization: '<authorization>', 'Content-Type': '<content-type>'},
  body: JSON.stringify({
    model: '<string>',
    prompt: '<string>',
    image: ['<string>'],
    n: 123,
    size: '<string>',
    quality: '<string>',
    background: '<string>',
    output_format: '<string>',
    output_compression: 123,
    moderation: '<string>',
    user: '<string>'
  })
};

fetch('https://api.gravitex.ai/v1/images/generations', 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.gravitex.ai/v1/images/generations",
  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([
    'model' => '<string>',
    'prompt' => '<string>',
    'image' => [
        '<string>'
    ],
    'n' => 123,
    'size' => '<string>',
    'quality' => '<string>',
    'background' => '<string>',
    'output_format' => '<string>',
    'output_compression' => 123,
    'moderation' => '<string>',
    'user' => '<string>'
  ]),
  CURLOPT_HTTPHEADER => [
    "Authorization: <authorization>",
    "Content-Type: <content-type>"
  ],
]);

$response = curl_exec($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.gravitex.ai/v1/images/generations"

	payload := strings.NewReader("{\n  \"model\": \"<string>\",\n  \"prompt\": \"<string>\",\n  \"image\": [\n    \"<string>\"\n  ],\n  \"n\": 123,\n  \"size\": \"<string>\",\n  \"quality\": \"<string>\",\n  \"background\": \"<string>\",\n  \"output_format\": \"<string>\",\n  \"output_compression\": 123,\n  \"moderation\": \"<string>\",\n  \"user\": \"<string>\"\n}")

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

	req.Header.Add("Authorization", "<authorization>")
	req.Header.Add("Content-Type", "<content-type>")

	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.gravitex.ai/v1/images/generations")
  .header("Authorization", "<authorization>")
  .header("Content-Type", "<content-type>")
  .body("{\n  \"model\": \"<string>\",\n  \"prompt\": \"<string>\",\n  \"image\": [\n    \"<string>\"\n  ],\n  \"n\": 123,\n  \"size\": \"<string>\",\n  \"quality\": \"<string>\",\n  \"background\": \"<string>\",\n  \"output_format\": \"<string>\",\n  \"output_compression\": 123,\n  \"moderation\": \"<string>\",\n  \"user\": \"<string>\"\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.gravitex.ai/v1/images/generations")

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

request = Net::HTTP::Post.new(url)
request["Authorization"] = '<authorization>'
request["Content-Type"] = '<content-type>'
request.body = "{\n  \"model\": \"<string>\",\n  \"prompt\": \"<string>\",\n  \"image\": [\n    \"<string>\"\n  ],\n  \"n\": 123,\n  \"size\": \"<string>\",\n  \"quality\": \"<string>\",\n  \"background\": \"<string>\",\n  \"output_format\": \"<string>\",\n  \"output_compression\": 123,\n  \"moderation\": \"<string>\",\n  \"user\": \"<string>\"\n}"

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