GPT-Image-2 图像生成

• 异步处理模式，返回任务ID用于后续查询
• 基于 OpenAI Images 兼容协议，支持文生图 / 图生图
• 支持 15 种图片比例，通过 size 字段传入
• 通过 resolution（1k / 2k / 4k）控制实际输出像素档位
• 参考图最多 16 张，支持 URL 与 base64 混填
• 按分辨率档位（1K / 2K / 4K）计费

请求示例

bash # model 可填 "gpt-image-2"，也兼容别名 "gpt-image-2-ext" curl --request POST \ --url https://api.openveer.com/v1/images/generations \ --header 'Authorization: Bearer <token>' \ --header 'Content-Type: application/json' \ --data '{ "model": "gpt-image-2", "prompt": "一只橘猫坐在窗台上看夕阳，水彩画风格", "n": 1, "size": "16:9", "resolution": "2k" }'

```python
import requests

url = "https://api.openveer.com/v1/images/generations"

payload = {
"model": "gpt-image-2",
"prompt": "一只橘猫坐在窗台上看夕阳，水彩画风格",
"n": 1,
"size": "16:9",
"resolution": "2k"
}

headers = {
"Authorization": "Bearer ",
"Content-Type": "application/json"
}

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

print(response.json())
```

```javascript
const url = "https://api.openveer.com/v1/images/generations";

const payload = {
model: "gpt-image-2",
prompt: "一只橘猫坐在窗台上看夕阳，水彩画风格",
n: 1,
size: "16:9",
resolution: "2k"
};

const headers = {
"Authorization": "Bearer ",
"Content-Type": "application/json"
};

fetch(url, {
method: "POST",
headers: headers,
body: JSON.stringify(payload)
})
.then(response => response.json())
.then(data => console.log(data))
.catch(error => console.error('Error:', error));
```

```go
package main

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

func main() {
url := "https://api.openveer.com/v1/images/generations"

  payload := map[string]interface{}{
      "model":      "gpt-image-2",
      "prompt":     "一只橘猫坐在窗台上看夕阳，水彩画风格",
      "n":          1,
      "size":       "16:9",
      "resolution": "2k",
  }

  jsonData, _ := json.Marshal(payload)

  req, _ := http.NewRequest("POST", url, bytes.NewBuffer(jsonData))
  req.Header.Set("Authorization", "Bearer <token>")
  req.Header.Set("Content-Type", "application/json")

  client := &http.Client{}
  resp, err := client.Do(req)
  if err != nil {
      panic(err)
  }
  defer resp.Body.Close()

  body, _ := ioutil.ReadAll(resp.Body)
  fmt.Println(string(body))

}
```

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

public class Main {
public static void main(String[] args) throws Exception {
String url = "https://api.openveer.com/v1/images/generations";

      String payload = """
      {
        "model": "gpt-image-2",
        "prompt": "一只橘猫坐在窗台上看夕阳，水彩画风格",
        "n": 1,
        "size": "16:9",
        "resolution": "2k"
      }
      """;

      HttpClient client = HttpClient.newHttpClient();
      HttpRequest request = HttpRequest.newBuilder()
          .uri(URI.create(url))
          .header("Authorization", "Bearer <token>")
          .header("Content-Type", "application/json")
          .POST(HttpRequest.BodyPublishers.ofString(payload))
          .build();

      HttpResponse<String> response = client.send(request,
          HttpResponse.BodyHandlers.ofString());

      System.out.println(response.body());
  }

}
```

```php
"gpt-image-2", "prompt" => "一只橘猫坐在窗台上看夕阳，水彩画风格", "n" => 1, "size" => "16:9", "resolution" => "2k" ]; $ch = curl_init($url); curl_setopt($ch, CURLOPT_RETURNTRANSFER, true); curl_setopt($ch, CURLOPT_POST, true); curl_setopt($ch, CURLOPT_POSTFIELDS, json_encode($payload)); curl_setopt($ch, CURLOPT_HTTPHEADER, [ "Authorization: Bearer ", "Content-Type: application/json" ]); $response = curl_exec($ch); curl_close($ch); echo $response; ?>

```

```ruby
require 'net/http'
require 'json'
require 'uri'

url = URI("https://api.openveer.com/v1/images/generations")

payload = {
model: "gpt-image-2",
prompt: "一只橘猫坐在窗台上看夕阳，水彩画风格",
n: 1,
size: "16:9",
resolution: "2k"
}

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

request = Net::HTTP::Post.new(url)
request["Authorization"] = "Bearer "
request["Content-Type"] = "application/json"
request.body = payload.to_json

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

```swift
import Foundation

let url = URL(string: "https://api.openveer.com/v1/images/generations")!

let payload: [String: Any] = [
"model": "gpt-image-2",
"prompt": "一只橘猫坐在窗台上看夕阳，水彩画风格",
"n": 1,
"size": "16:9",
"resolution": "2k"
]

var request = URLRequest(url: url)
request.httpMethod = "POST"
request.setValue("Bearer ", forHTTPHeaderField: "Authorization")
request.setValue("application/json", forHTTPHeaderField: "Content-Type")
request.httpBody = try? JSONSerialization.data(withJSONObject: payload)

let task = URLSession.shared.dataTask(with: request) { data, response, error in
if let error = error {
print("Error: (error)")
return
}

  if let data = data, let responseString = String(data: data, encoding: .utf8) {
      print(responseString)
  }

}

task.resume()
```

```csharp
using System;
using System.Net.Http;
using System.Text;
using System.Threading.Tasks;

class Program
{
static async Task Main(string[] args)
{
var url = "https://api.openveer.com/v1/images/generations";

      var payload = @"{
          ""model"": ""gpt-image-2"",
          ""prompt"": ""一只橘猫坐在窗台上看夕阳，水彩画风格"",
          ""n"": 1,
          ""size"": ""16:9"",
          ""resolution"": ""2k""
      }";

      using var client = new HttpClient();
      client.DefaultRequestHeaders.Add("Authorization", "Bearer <token>");

      var content = new StringContent(payload, Encoding.UTF8, "application/json");
      var response = await client.PostAsync(url, content);
      var result = await response.Content.ReadAsStringAsync();

      Console.WriteLine(result);
  }

}
```

```dart
import 'dart:convert';
import 'package:http/http.dart' as http;

void main() async {
final url = Uri.parse('https://api.openveer.com/v1/images/generations');

final payload = {
  'model': 'gpt-image-2',
  'prompt': '一只橘猫坐在窗台上看夕阳，水彩画风格',
  'n': 1,
  'size': '16:9',
  'resolution': '2k'
};

final response = await http.post(
  url,
  headers: {
    'Authorization': 'Bearer <token>',
    'Content-Type': 'application/json'
  },
  body: jsonEncode(payload),
);

print(response.body);

}
```

```r
library(httr)
library(jsonlite)

url <- "https://api.openveer.com/v1/images/generations"

payload <- list(
model = "gpt-image-2",
prompt = "一只橘猫坐在窗台上看夕阳，水彩画风格",
n = 1,
size = "16:9",
resolution = "2k"
)

response <- POST(
url,
add_headers(
Authorization = "Bearer ",
Content-Type = "application/json"
),
body = toJSON(payload, auto_unbox = TRUE),
encode = "raw"
)

cat(content(response, "text"))
```

响应示例

json { "code": 200, "data": [ { "status": "submitted", "task_id": "task_01KPQ7J7DWB7QZ3WCEK3YVPBRA" } ] }

json { "error": { "code": 400, "message": "参数错误：size 不合法 / resolution 不支持 / 像素违规等", "type": "invalid_request_error" } }

json { "error": { "code": 401, "message": "身份验证失败，请检查您的API密钥", "type": "authentication_error" } }

json { "error": { "code": 402, "message": "账户余额不足，请充值后再试", "type": "payment_required" } }

json { "error": { "code": 429, "message": "请求过于频繁，请稍后再试", "type": "rate_limit_error" } }

json { "error": { "code": 500, "message": "服务器错误", "type": "server_error" } }

json { "error": { "code": 503, "message": "上游暂时不可用，请稍后再试", "type": "service_unavailable" } }

Authorizations

Body

使用场景示例

文生图（最简请求）

{
  "model": "gpt-image-2",
  "prompt": "一只橘猫坐在窗台上看夕阳，水彩画风格"
}

文生图（指定比例 + 2K）

{
  "model": "gpt-image-2",
  "prompt": "a corgi astronaut on the moon, cinematic, 8k",
  "size": "16:9",
  "resolution": "2k"
}

文生图（4K 输出）

{
  "model": "gpt-image-2",
  "prompt": "星空下的古老城堡",
  "size": "16:9",
  "resolution": "4k"
}

文生图（多张）

{
  "model": "gpt-image-2",
  "prompt": "星空下的古老城堡",
  "size": "16:9",
  "resolution": "4k",
  "n": 2
}

图生图（参考图 = URL）

{
  "model": "gpt-image-2",
  "prompt": "把这张照片变成水彩画风格",
  "image_urls": [
    "https://example.com/photo.jpg"
  ]
}

图生图（参考图 = base64）

{
  "model": "gpt-image-2",
  "prompt": "把这张照片变成水彩画风格",
  "image_urls": [
    "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAA..."
  ]
}

图生图（多参考图融合，URL + base64 混填）

{
  "model": "gpt-image-2",
  "prompt": "把这两张照片融合成一张海报",
  "size": "4:3",
  "resolution": "2k",
  "image_urls": [
    "https://example.com/photo-a.jpg",
    "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAA..."
  ]
}

Response

查询任务结果

提交成功后返回 task_id，通过 GET /v1/tasks/{task_id} 轮询任务状态，详见 任务查询接口。

成功响应示例

{
  "code": 200,
  "data": {
    "id": "task_01KPQ7J7DWB7QZ3WCEK3YVPBRA",
    "status": "completed",
    "progress": 100,
    "created": 1776748674,
    "completed": 1776748726,
    "actual_time": 52,
    "cost": 0.05279,
    "credits_cost": 0.5279,
    "estimated_time": 100,
    "result": {
      "images": [
        {
          "url": [
            "https://upload.apimart.ai/f/image/xxxxxxxx-gpt_image_2_task_xxx_0.png"
          ],
          "expires_at": 1776835126
        }
      ]
    }
  }
}

取图方式：data.result.images[0].url[0]

任务状态说明