Text to Image

curl --location 'https://aiandgpu.com/v1/images/generations' \
  --header 'Authorization: Bearer <YOUR_API_KEY>' \
  --header 'Content-Type: application/json' \
  --data '{
    "model": "gpt-image-2",
    "prompt": "Draw a watercolor illustration of a red panda reading under a maple tree.",
    "n": 1,
    "size": "1024x1024",
    "quality": "medium",
    "output_format": "png"
  }'

import base64
import requests

response = requests.post(
    "https://aiandgpu.com/v1/images/generations",
    headers={"Authorization": "Bearer <YOUR_API_KEY>"},
    json={
        "model": "gpt-image-2",
        "prompt": "Draw a watercolor illustration of a red panda reading under a maple tree.",
        "n": 1,
        "size": "1024x1024",
        "quality": "medium",
        "output_format": "png",
    },
    timeout=600,
)
response.raise_for_status()
data = response.json()
with open("generated.png", "wb") as image_file:
    image_file.write(base64.b64decode(data["data"][0]["b64_json"]))

// Node.js 18+; save as an .mjs file.
import { writeFile } from "node:fs/promises";

const response = await fetch("https://aiandgpu.com/v1/images/generations", {
  method: "POST",
  headers: {
    Authorization: "Bearer <YOUR_API_KEY>",
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    model: "gpt-image-2",
    prompt: "Draw a watercolor illustration of a red panda reading under a maple tree.",
    n: 1,
    size: "1024x1024",
    quality: "medium",
    output_format: "png",
  }),
});
if (!response.ok) throw new Error(await response.text());
const data = await response.json();
await writeFile("generated.png", Buffer.from(data.data[0].b64_json, "base64"));

package main

import (
    "bytes"
    "encoding/json"
    "fmt"
    "io"
    "net/http"
    "time"
)

func main() {
    body, err := json.Marshal(map[string]any{
        "model": "gpt-image-2",
        "prompt": "Draw a watercolor illustration of a red panda reading under a maple tree.",
        "n": 1,
        "size": "1024x1024",
        "quality": "medium",
        "output_format": "png",
    })
    if err != nil { panic(err) }
    req, err := http.NewRequest("POST", "https://aiandgpu.com/v1/images/generations", bytes.NewReader(body))
    if err != nil { panic(err) }
    req.Header.Set("Authorization", "Bearer <YOUR_API_KEY>")
    req.Header.Set("Content-Type", "application/json")
    client := &http.Client{Timeout: 10 * time.Minute}
    res, err := client.Do(req)
    if err != nil { panic(err) }
    defer res.Body.Close()
    result, err := io.ReadAll(res.Body)
    if err != nil { panic(err) }
    if res.StatusCode >= 400 { panic(string(result)) }
    fmt.Println(string(result))
}

// Java 11+; save as GenerateImage.java.
import java.net.URI;
import java.net.http.HttpClient;
import java.net.http.HttpRequest;
import java.net.http.HttpResponse;
import java.time.Duration;

public class GenerateImage {
    public static void main(String[] args) throws Exception {
        String body = "{\"model\":\"gpt-image-2\","
            + "\"prompt\":\"Draw a watercolor illustration of a red panda reading under a maple tree.\","
            + "\"n\":1,\"size\":\"1024x1024\",\"quality\":\"medium\",\"output_format\":\"png\"}";
        HttpRequest request = HttpRequest.newBuilder()
            .uri(URI.create("https://aiandgpu.com/v1/images/generations"))
            .timeout(Duration.ofMinutes(10))
            .header("Authorization", "Bearer <YOUR_API_KEY>")
            .header("Content-Type", "application/json")
            .POST(HttpRequest.BodyPublishers.ofString(body))
            .build();
        HttpResponse<String> response = HttpClient.newHttpClient()
            .send(request, HttpResponse.BodyHandlers.ofString());
        if (response.statusCode() >= 400) throw new RuntimeException(response.body());
        System.out.println(response.body());
    }
}

<?php

$curl = curl_init("https://aiandgpu.com/v1/images/generations");
curl_setopt_array($curl, [
    CURLOPT_RETURNTRANSFER => true,
    CURLOPT_POST => true,
    CURLOPT_TIMEOUT => 600,
    CURLOPT_HTTPHEADER => [
        "Authorization: Bearer <YOUR_API_KEY>",
        "Content-Type: application/json",
    ],
    CURLOPT_POSTFIELDS => json_encode([
        "model" => "gpt-image-2",
        "prompt" => "Draw a watercolor illustration of a red panda reading under a maple tree.",
        "n" => 1,
        "size" => "1024x1024",
        "quality" => "medium",
        "output_format" => "png",
    ]),
]);
$response = curl_exec($curl);
if ($response === false) throw new RuntimeException(curl_error($curl));
$status = curl_getinfo($curl, CURLINFO_HTTP_CODE);
curl_close($curl);
if ($status >= 400) throw new RuntimeException($response);
echo $response;

// .NET 6+
using System;
using System.Net.Http;
using System.Net.Http.Json;

using var client = new HttpClient { Timeout = TimeSpan.FromMinutes(10) };
client.DefaultRequestHeaders.Add("Authorization", "Bearer <YOUR_API_KEY>");
using var response = await client.PostAsJsonAsync(
    "https://aiandgpu.com/v1/images/generations",
    new {
        model = "gpt-image-2",
        prompt = "Draw a watercolor illustration of a red panda reading under a maple tree.",
        n = 1,
        size = "1024x1024",
        quality = "medium",
        output_format = "png"
    }
);
response.EnsureSuccessStatusCode();
Console.WriteLine(await response.Content.ReadAsStringAsync());