curl --request POST \
  --url https://api.budgetpixel.com/v1/images/gpt-image-2.6-flare \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "prompt": "<string>",
  "aspect_ratio": "1:1",
  "background": "auto",
  "complexity": "high",
  "num_images": 1,
  "output_format": "png",
  "quality": "medium",
  "reference_images": [
    "<string>"
  ],
  "resolution": "1K"
}
'

import requests

url = "https://api.budgetpixel.com/v1/images/gpt-image-2.6-flare"

payload = {
    "prompt": "<string>",
    "aspect_ratio": "1:1",
    "background": "auto",
    "complexity": "high",
    "num_images": 1,
    "output_format": "png",
    "quality": "medium",
    "reference_images": ["<string>"],
    "resolution": "1K"
}
headers = {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
}

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

print(response.text)

const options = {
  method: 'POST',
  headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    prompt: '<string>',
    aspect_ratio: '1:1',
    background: 'auto',
    complexity: 'high',
    num_images: 1,
    output_format: 'png',
    quality: 'medium',
    reference_images: ['<string>'],
    resolution: '1K'
  })
};

fetch('https://api.budgetpixel.com/v1/images/gpt-image-2.6-flare', 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.budgetpixel.com/v1/images/gpt-image-2.6-flare",
  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([
    'prompt' => '<string>',
    'aspect_ratio' => '1:1',
    'background' => 'auto',
    'complexity' => 'high',
    'num_images' => 1,
    'output_format' => 'png',
    'quality' => 'medium',
    'reference_images' => [
        '<string>'
    ],
    'resolution' => '1K'
  ]),
  CURLOPT_HTTPHEADER => [
    "Authorization: Bearer <token>",
    "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://api.budgetpixel.com/v1/images/gpt-image-2.6-flare"

	payload := strings.NewReader("{\n  \"prompt\": \"<string>\",\n  \"aspect_ratio\": \"1:1\",\n  \"background\": \"auto\",\n  \"complexity\": \"high\",\n  \"num_images\": 1,\n  \"output_format\": \"png\",\n  \"quality\": \"medium\",\n  \"reference_images\": [\n    \"<string>\"\n  ],\n  \"resolution\": \"1K\"\n}")

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

	req.Header.Add("Authorization", "Bearer <token>")
	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.budgetpixel.com/v1/images/gpt-image-2.6-flare")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"prompt\": \"<string>\",\n  \"aspect_ratio\": \"1:1\",\n  \"background\": \"auto\",\n  \"complexity\": \"high\",\n  \"num_images\": 1,\n  \"output_format\": \"png\",\n  \"quality\": \"medium\",\n  \"reference_images\": [\n    \"<string>\"\n  ],\n  \"resolution\": \"1K\"\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.budgetpixel.com/v1/images/gpt-image-2.6-flare")

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

request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"prompt\": \"<string>\",\n  \"aspect_ratio\": \"1:1\",\n  \"background\": \"auto\",\n  \"complexity\": \"high\",\n  \"num_images\": 1,\n  \"output_format\": \"png\",\n  \"quality\": \"medium\",\n  \"reference_images\": [\n    \"<string>\"\n  ],\n  \"resolution\": \"1K\"\n}"

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

{
  "characters": [
    {
      "handle": "barry",
      "name": "Barry",
      "official": true,
      "page_url": "<string>"
    }
  ],
  "id": "img_a1b2c3d4e5f6",
  "message": "<string>",
  "model": "<string>",
  "status": "pending"
}

{
  "error": {
    "code": "model_not_available",
    "message": "<string>",
    "type": "invalid_request_error"
  }
}

{
  "error": {
    "code": "model_not_available",
    "message": "<string>",
    "type": "invalid_request_error"
  }
}

{
  "error": {
    "code": "model_not_available",
    "message": "<string>",
    "type": "invalid_request_error"
  }
}

{
  "error": {
    "code": "model_not_available",
    "message": "<string>",
    "type": "invalid_request_error"
  }
}