GPT-Image-2 官方渠道 图像生成

• OpenAI 官方 gpt-image-2 模型，基于 /v1/images/generations 兼容协议
• 异步处理模式，返回 task_id 用于后续查询
• 文生图 / 图生图 / 局部重绘（mask）三合一
• 新增 resolution 档位字段，支持 1K / 2K / 4K 分辨率选择
• 支持 15 种比例，1K / 2K / 4K 档均可用
• 单次最多生成 4 张图片，参考图最多 16 张
• 与 gpt-image-1.5-official 接口 95% 对齐，迁移只需改模型名

请求示例

bash 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-official", "prompt": "星空下的古老城堡", "size": "16:9", "resolution": "2k", "quality": "high", "n": 1 }'

```python
import requests

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

payload = {
"model": "gpt-image-2-official",
"prompt": "星空下的古老城堡",
"size": "16:9",
"resolution": "2k",
"quality": "high",
"n": 1
}

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-official",
prompt: "星空下的古老城堡",
size: "16:9",
resolution: "2k",
quality: "high",
n: 1,
};

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-official",
      "prompt":     "星空下的古老城堡",
      "size":       "16:9",
      "resolution": "2k",
      "quality":    "high",
      "n":          1,
  }

  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-official",
        "prompt": "星空下的古老城堡",
        "size": "16:9",
        "resolution": "2k",
        "quality": "high",
        "n": 1
      }
      """;

      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-official", "prompt" => "星空下的古老城堡", "size" => "16:9", "resolution" => "2k", "quality" => "high", "n" => 1 ]; $ch = curl_init($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-official",
prompt: "星空下的古老城堡",
size: "16:9",
resolution: "2k",
quality: "high",
n: 1
}

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-official",
"prompt": "星空下的古老城堡",
"size": "16:9",
"resolution": "2k",
"quality": "high",
"n": 1
]

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-official"",
          ""prompt"": ""星空下的古老城堡"",
          ""size"": ""16:9"",
          ""resolution"": ""2k"",
          ""quality"": ""high"",
          ""n"": 1
      }";

      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-official',
  'prompt': '星空下的古老城堡',
  'size': '16:9',
  'resolution': '2k',
  'quality': 'high',
  'n': 1,
};

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-official",
prompt = "星空下的古老城堡",
size = "16:9",
resolution = "2k",
quality = "high",
n = 1
)

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_01KPTXXXXXXXXXXXXXXX" } ] }

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": 403, "message": "访问被禁止，您没有权限访问此资源", "type": "permission_error" } }

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": "服务器内部错误，请稍后重试", "type": "server_error" } }

json { "error": { "code": 502, "message": "网关错误，服务器暂时不可用", "type": "bad_gateway" } }

Authorizations

Body

尺寸 × 分辨率映射表

size × resolution → OpenAI 实际像素（15 比例 × 3 档位）：

说明：部分尺寸会按 16 倍数和像素上限做近似映射，例如 3:2 / 2:3 @ 2K 实际是 2048×1360，21:9 @ 4K 是 3840×1648；请以表格中的实际像素为准。

使用场景示例

文生图（最简请求）

{
  "model": "gpt-image-2-official",
  "prompt": "星空下的古老城堡"
}

2K 高清海报

{
  "model": "gpt-image-2-official",
  "prompt": "赛博朋克夜景",
  "size": "16:9",
  "resolution": "2k",
  "quality": "high",
  "output_format": "jpeg",
  "output_compression": 90
}

4K 壁纸

{
  "model": "gpt-image-2-official",
  "prompt": "雪山日出全景",
  "size": "16:9",
  "resolution": "4k",
  "quality": "high",
  "n": 1
}

图生图（多参考图融合）

{
  "model": "gpt-image-2-official",
  "prompt": "将两张参考图融合成一张插画海报，保留主体轮廓",
  "size": "1:1",
  "quality": "high",
  "image_urls": [
    "https://your-cdn.com/input-a.png",
    "https://your-cdn.com/input-b.png"
  ]
}

局部重绘（mask）

{
  "model": "gpt-image-2-official",
  "prompt": "把背景换成沙漠日落",
  "size": "1:1",
  "quality": "medium",
  "image_urls": ["https://your-cdn.com/photo.png"],
  "mask_url": "https://your-cdn.com/mask.png"
}

多张生成（n > 1）

{
  "model": "gpt-image-2-official",
  "prompt": "Four minimalist poster variations of a red fox",
  "size": "1:1",
  "quality": "low",
  "n": 4
}

直接传像素串（高级用法）

{
  "model": "gpt-image-2-official",
  "prompt": "wide cinematic shot",
  "size": "3840x2160",
  "quality": "high"
}

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": {
    "actual_time": 14,
    "completed": 1784607890,
    "cost": 0.004792,
    "created": 1784607876,
    "credits_cost": 0.047920000000000004,
    "estimated_time": 60,
    "id": "task_01KPTXXXXXXXXXXXXXXX",
    "progress": 100,
    "result": {
      "images": [
        {
          "expires_at": 1784694290,
          "url": [
            "https://upload.apimart.ai/f/image/xxxxxxxx-gpt_image_2_official_task_xxx_0.png"
          ]
        }
      ]
    },
    "status": "completed",
    "usage": {
      "input_tokens": 22,
      "input_tokens_details": {
        "cached_tokens": 0,
        "image_tokens": 0,
        "text_tokens": 22
      },
      "output_tokens": 196,
      "output_tokens_details": {
        "image_tokens": 196,
        "text_tokens": 0
      },
      "total_tokens": 218
    }
  }
}

usage 字段说明本次请求的 token 计费用量：

图像生成任务的输出以图片 token 为主，因此 output_tokens_details.image_tokens 通常等于 output_tokens。上例中 total_tokens = 22 + 196 = 218。

任务状态流转：submitted → in_progress → completed / failed。

取图方式：data.result.images[0].url[0]。