GPT-Image(1/1.5) 图像生成

异步处理模式，返回任务ID用于后续查询

支持文生图、图生图、局部重绘等多种生成模式

支持透明背景、多种输出格式、多质量档位

单次最多生成 4 张图片，参考图最多 15 张

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-1-official", "prompt": "星空下的古老城堡", "size": "1:1", "quality": "auto", "n": 1 }'

```python
import requests

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

payload = {
"model": "gpt-image-1-official",
"prompt": "星空下的古老城堡",
"size": "1:1",
"quality": "auto",
"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-1-official",
prompt: "星空下的古老城堡",
size: "1:1",
quality: "auto",
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-1-official",
      "prompt":  "星空下的古老城堡",
      "size":    "1:1",
      "quality": "auto",
      "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-1-official",
        "prompt": "星空下的古老城堡",
        "size": "1:1",
        "quality": "auto",
        "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-1-official", "prompt" => "星空下的古老城堡", "size" => "1:1", "quality" => "auto", "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-1-official",
prompt: "星空下的古老城堡",
size: "1:1",
quality: "auto",
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-1-official",
"prompt": "星空下的古老城堡",
"size": "1:1",
"quality": "auto",
"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-1-official"",
          ""prompt"": ""星空下的古老城堡"",
          ""size"": ""1:1"",
          ""quality"": ""auto"",
          ""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-1-official',
  'prompt': '星空下的古老城堡',
  'size': '1:1',
  'quality': 'auto',
  '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-1-official",
prompt = "星空下的古老城堡",
size = "1:1",
quality = "auto",
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_01KXXXXXXXXXXXXXXX" } ] }

json { "error": { "code": 400, "message": "请求参数无效", "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" } }

支持的模型

模型名	说明	模式	图生图	最大张数	计费方式
`gpt-image-1-official`	稳定优先，适合通用图片生成	文生图 / 图生图	支持	4 张	尺寸×质量
`gpt-image-1.5-official`	新版本，适合更高质量和更复杂编辑场景	文生图 / 图生图	支持	4 张	尺寸×质量

Authorizations

Authorization string

所有接口均需要使用Bearer Token进行认证获取 API Key：访问 [API Key 管理页面](https://openveer.com) 获取您的 API Key 使用时在请求头中添加： ``` Authorization: Bearer YOUR_API_KEY ```

Body

model string

模型名称 * `gpt-image-1-official` - 稳定优先，适合通用图片生成 * `gpt-image-1.5-official` - 新版本，适合更高质量和更复杂编辑场景

prompt string

图像生成的文本描述，支持中英文

size string

画面比例支持的比例： * `1:1` - 正方形构图（默认） * `3:2` - 横构图 * `2:3` - 竖构图

n integer

生成图片张数取值范围：1-4 * 传入值 ≤ 0 时，系统按 `1` 处理 * 传入值 > 4 时，系统按 `4` 处理 **⚠️ 注意：** 必须输入纯数字（如 `1`），不要加引号，否则会报错

quality string

图片质量 * `auto` - 自动选择质量（默认） * `low` - 更快、更省 * `medium` - 质量与消耗折中 * `high` - 质量更高，消耗更高

background string

背景模式 * `auto` - 自动背景（默认） * `opaque` - 不透明背景 * `transparent` - 透明背景，推荐搭配 `png` 输出格式

警告

`background: transparent` 不能和 `output_format: jpeg` 同时使用

moderation string

审核强度 * `auto` - 默认审核强度 * `low` - 更宽松的审核强度

output_format string

输出格式 * `png` - 默认格式，适合透明背景 * `jpeg` - 文件更小，适合普通图片输出

警告

`background: transparent` 不能和 `output_format: jpeg` 同时使用

output_compression integer

输出压缩强度，范围 0-100 * 建议仅在 `jpeg` 下使用 * `png` 场景建议不传

image_urls array

参考图像的 URL 数组，传入后自动按图生图处理 * 传 1 张为单参考图编辑 * 传 2-15 张为多参考图融合编辑 * 超过 15 张服务端会拒绝处理 * 必须是公网可访问的稳定图片 URL **限制：** 最多 15 张参考图

mask_url string

遮罩图 URL，用于局部重绘（inpainting） * 需搭配 `image_urls` 一起使用 * 传入后会按官方编辑接口一并提交

警告

1、上传遮罩图前，请先确认图片 Alpha 通道为「是」。 2、遮罩图尺寸需与首张参考图一致。

尺寸对照表

对外统一使用比例值，系统内部自动映射到官方实际尺寸并完成计费。

比例	实际尺寸	说明
`1:1`	1024×1024	正方形构图
`2:3`	1024×1536	竖构图
`3:2`	1536×1024	横构图

使用场景示例

文生图（最简请求）

{
  "model": "gpt-image-1-official",
  "prompt": "星空下的古老城堡"
}

文生图（完整参数）

{
  "model": "gpt-image-1-official",
  "prompt": "A flat icon of a glass bottle with no background",
  "size": "2:3",
  "quality": "high",
  "background": "transparent",
  "moderation": "low",
  "output_format": "png",
  "n": 1
}

图生图（单参考图）

{
  "model": "gpt-image-1.5-official",
  "prompt": "将参考图改成插画风格，保留主体轮廓",
  "size": "1:1",
  "quality": "auto",
  "image_urls": [
    "https://your-cdn.com/input.png"
  ],
  "n": 1
}

图生图（多参考图融合）

{
  "model": "gpt-image-1.5-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": "auto",
  "background": "transparent",
  "image_urls": [
    "https://your-cdn.com/input-a.png",
    "https://your-cdn.com/input-b.png"
  ],
  "moderation": "low",
  "output_format": "png",
  "n": 1
}

多张生成（n > 1）

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

Response

code integer

响应状态码

data array

返回数据数组任务状态 * `submitted` - 已提交

task_id string

任务唯一标识符

注意事项

异步处理：提交后返回 task_id，需轮询 /v1/tasks/{task_id} 获取结果
模型选择：通用图片生成优先使用 gpt-image-1-official，高质量编辑和复杂图生图建议使用 gpt-image-1.5-official
图片 URL 要求：图生图推荐使用公网可直接访问的稳定图片 URL
计费规则：按成功生成的图片张数计费，失败不扣费