curl -X POST 'https://ai.xbrod.com/v1/images/generations' \
  -H 'Authorization: Bearer <token>' \
  -H 'Content-Type: application/json' \
  -d '{"model":"gpt-image-2.5-flare","prompt":"一张简洁的绿色植物海报，干净背景","size":"1:1","resolution":"1k","quality":"low"}'

import json
import requests

response = requests.post('https://ai.xbrod.com/v1/images/generations',
    headers={'Authorization': 'Bearer <token>'},
    json=json.loads("{\"model\":\"gpt-image-2.5-flare\",\"prompt\":\"一张简洁的绿色植物海报，干净背景\",\"size\":\"1:1\",\"resolution\":\"1k\",\"quality\":\"low\"}"))
print(response.json())

const response = await fetch('https://ai.xbrod.com/v1/images/generations', {
  method: 'POST',
  headers: { Authorization: 'Bearer <token>', 'Content-Type': 'application/json' },
  body: JSON.stringify({
    "model": "gpt-image-2.5-flare",
    "prompt": "一张简洁的绿色植物海报，干净背景",
    "size": "1:1",
    "resolution": "1k",
    "quality": "low"
  }),
});
console.log(await response.json());

package main

import (
    "bytes"
    "fmt"
    "io"
    "net/http"
)

func main() {
    req, err := http.NewRequest("POST", "https://ai.xbrod.com/v1/images/generations", bytes.NewBufferString(`{"model":"gpt-image-2.5-flare","prompt":"一张简洁的绿色植物海报，干净背景","size":"1:1","resolution":"1k","quality":"low"}`))
    if err != nil { panic(err) }
    req.Header.Set("Authorization", "Bearer <token>")
    req.Header.Set("Content-Type", "application/json")
    resp, err := http.DefaultClient.Do(req)
    if err != nil { panic(err) }
    defer resp.Body.Close()
    body, err := io.ReadAll(resp.Body)
    if err != nil { panic(err) }
    fmt.Println(string(body))
}

import java.net.URI;
import java.net.http.HttpClient;
import java.net.http.HttpRequest;
import java.net.http.HttpResponse;

public class Example {
    public static void main(String[] args) throws Exception {
        var request = HttpRequest.newBuilder(URI.create("https://ai.xbrod.com/v1/images/generations"))
            .header("Authorization", "Bearer <token>")
            .header("Content-Type", "application/json")
            .POST(HttpRequest.BodyPublishers.ofString("{\"model\":\"gpt-image-2.5-flare\",\"prompt\":\"一张简洁的绿色植物海报，干净背景\",\"size\":\"1:1\",\"resolution\":\"1k\",\"quality\":\"low\"}"))
            .build();
        var response = HttpClient.newHttpClient().send(request, HttpResponse.BodyHandlers.ofString());
        System.out.println(response.body());
    }
}

<?php
$ch = curl_init('https://ai.xbrod.com/v1/images/generations');
curl_setopt_array($ch, [
    CURLOPT_POST => true,
    CURLOPT_HTTPHEADER => ['Authorization: Bearer <token>', 'Content-Type: application/json'],
    CURLOPT_POSTFIELDS => '{"model":"gpt-image-2.5-flare","prompt":"一张简洁的绿色植物海报，干净背景","size":"1:1","resolution":"1k","quality":"low"}',
    CURLOPT_RETURNTRANSFER => true,
]);
$result = curl_exec($ch);
if ($result === false) { throw new RuntimeException(curl_error($ch)); }
curl_close($ch);
echo $result;

require 'net/http'

uri = URI('https://ai.xbrod.com/v1/images/generations')
request = Net::HTTP::Post.new(uri)
request['Authorization'] = 'Bearer <token>'
request['Content-Type'] = 'application/json'
request.body = '{"model":"gpt-image-2.5-flare","prompt":"一张简洁的绿色植物海报，干净背景","size":"1:1","resolution":"1k","quality":"low"}'
response = Net::HTTP.start(uri.hostname, uri.port, use_ssl: uri.scheme == 'https') { |http| http.request(request) }
puts response.body