curl --request POST \
  --url https://api.mixroute.ai/v1/images/generations \
  --header 'Authorization: Bearer sk-xxxxxxxxxx' \
  --header 'Content-Type: application/json' \
  --data '{
    "model": "gpt-image-2",
    "prompt": "A cute orange kitten sitting in a garden",
    "size": "1024x1024",
    "quality": "low",
    "n": 1
  }'

from openai import OpenAI

client = OpenAI(
    api_key="sk-xxxxxxxxxx",
    base_url="https://api.mixroute.ai/v1"
)

response = client.images.generate(
    model="gpt-image-2",
    prompt="A cute orange kitten sitting in a garden",
    size="1024x1024",
    quality="low",
    n=1
)
print(response.data[0].b64_json)

const response = await fetch('https://api.mixroute.ai/v1/images/generations', {
  method: 'POST',
  headers: {
    'Authorization': 'Bearer sk-xxxxxxxxxx',
    'Content-Type': 'application/json'
  },
  body: JSON.stringify({
    model: 'gpt-image-2',
    prompt: 'A cute orange kitten sitting in a garden',
    size: '1024x1024',
    quality: 'low',
    n: 1
  })
});
const data = await response.json();
console.log(data.data[0].b64_json);

<?php
$client = new GuzzleHttp\Client();
$response = $client->post('https://api.mixroute.ai/v1/images/generations', [
    'headers' => [
        'Authorization' => 'Bearer sk-xxxxxxxxxx',
        'Content-Type' => 'application/json',
    ],
    'json' => [
        'model' => 'gpt-image-2',
        'prompt' => 'A cute orange kitten sitting in a garden',
        'size' => '1024x1024',
        'quality' => 'low',
        'n' => 1
    ]
]);
echo $response->getBody();

package main

import (
    "bytes"
    "encoding/json"
    "net/http"
)

func main() {
    payload := map[string]interface{}{
        "model": "gpt-image-2",
        "prompt": "A cute orange kitten sitting in a garden",
        "size": "1024x1024",
        "quality": "low",
        "n": 1,
    }
    body, _ := json.Marshal(payload)
    req, _ := http.NewRequest("POST", "https://api.mixroute.ai/v1/images/generations", bytes.NewBuffer(body))
    req.Header.Set("Authorization", "Bearer sk-xxxxxxxxxx")
    req.Header.Set("Content-Type", "application/json")
    http.DefaultClient.Do(req)
}

import java.net.http.*;
import java.net.URI;

HttpClient client = HttpClient.newHttpClient();
String json = """
    {
        "model": "gpt-image-2",
        "prompt": "A cute orange kitten sitting in a garden",
        "size": "1024x1024",
        "quality": "low",
        "n": 1
    }
    """;
HttpRequest request = HttpRequest.newBuilder()
    .uri(URI.create("https://api.mixroute.ai/v1/images/generations"))
    .header("Authorization", "Bearer sk-xxxxxxxxxx")
    .header("Content-Type", "application/json")
    .POST(HttpRequest.BodyPublishers.ofString(json))
    .build();
HttpResponse<String> response = client.send(request, HttpResponse.BodyHandlers.ofString());
System.out.println(response.body());

require 'net/http'
require 'json'

uri = URI('https://api.mixroute.ai/v1/images/generations')
http = Net::HTTP.new(uri.host, uri.port)
http.use_ssl = true

request = Net::HTTP::Post.new(uri)
request['Authorization'] = 'Bearer sk-xxxxxxxxxx'
request['Content-Type'] = 'application/json'
request.body = {
  model: 'gpt-image-2',
  prompt: 'A cute orange kitten sitting in a garden',
  size: '1024x1024',
  quality: 'low',
  n: 1
}.to_json

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

{
  "created": 1790480000,
  "data": [
    {
      "b64_json": "iVBORw0KGgoAAAANSUhEUgAABAAAAAQA..."
    }
  ]
}