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Nano banana 图像生成

- 异步处理模式,返回任务ID用于后续查询

  • 异步处理模式,返回任务ID用于后续查询
  • 快速生成速度,针对快速图像创建进行优化
  • 生成的图像链接,有效期为24小时,请尽快保存
信息
**模型名兼容提示**:本接口同时兼容别名 `nano-banana-ext`,它等价于 `gemini-2.5-flash-image-preview`,两者可互换使用、效果一致。

请求示例

bash # model 可填 "gemini-2.5-flash-image-preview",也兼容别名 "nano-banana-ext" curl --request POST \ --url https://api.openveer.com/v1/images/generations \ --header 'Authorization: Bearer <token>' \ --header 'Content-Type: application/json' \ --data '{ "model": "gemini-2.5-flash-image-preview", "prompt": "月光下的竹林小径", "size": "1:1", "n": 1, "image_urls": [ "https://openai-documentation.vercel.app/images/cat_and_otter.png" ] }'

```python
import requests

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

payload = {
"model": "gemini-2.5-flash-image-preview",
"prompt": "月光下的竹林小径",
"size": "1:1",
"n": 1,
"image_urls": [
"https://openai-documentation.vercel.app/images/cat_and_otter.png"
]
}

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: "gemini-2.5-flash-image-preview",
prompt: "月光下的竹林小径",
size: "1:1",
n: 1,
image_urls: [
"https://openai-documentation.vercel.app/images/cat_and_otter.png"
]
};

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":  "gemini-2.5-flash-image-preview",
      "prompt": "月光下的竹林小径",
      "size":   "1:1",
      "n":      1,
      "image_urls": []string{
          "https://openai-documentation.vercel.app/images/cat_and_otter.png",
      },
  }

  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": "gemini-2.5-flash-image-preview",
        "prompt": "月光下的竹林小径",
        "size": "1:1",
        "n": 1,
        "image_urls": [
          "https://openai-documentation.vercel.app/images/cat_and_otter.png"
        ]
      }
      """;

      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
"gemini-2.5-flash-image-preview", "prompt" => "月光下的竹林小径", "size" => "1:1", "n" => 1, "image_urls" => [ "https://openai-documentation.vercel.app/images/cat_and_otter.png" ] ]; $ch = curl_init($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: "gemini-2.5-flash-image-preview",
prompt: "月光下的竹林小径",
size: "1:1",
n: 1,
image_urls: [
"https://openai-documentation.vercel.app/images/cat_and_otter.png"
]
}

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": "gemini-2.5-flash-image-preview",
"prompt": "月光下的竹林小径",
"size": "1:1",
"n": 1,
"image_urls": [
"https://openai-documentation.vercel.app/images/cat_and_otter.png"
]
]

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"": ""gemini-2.5-flash-image-preview"",
          ""prompt"": ""月光下的竹林小径"",
          ""size"": ""1:1"",
          ""n"": 1,
          ""image_urls"": [
              ""https://openai-documentation.vercel.app/images/cat_and_otter.png""
          ]
      }";

      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);
  }

}
```

```c
#include
#include

int main(void) {
CURL *curl;
CURLcode res;

  curl_global_init(CURL_GLOBAL_DEFAULT);
  curl = curl_easy_init();

  if(curl) {
      const char *url = "https://api.openveer.com/v1/images/generations";
      const char *payload = "{"
          "\"model\":\"gemini-2.5-flash-image-preview\","
          "\"prompt\":\"月光下的竹林小径\","
          "\"size\":\"1:1\","
          "\"n\":1,"
          "\"image_urls\":[\"https://openai-documentation.vercel.app/images/cat_and_otter.png\"]"
      "}";

      struct curl_slist *headers = NULL;
      headers = curl_slist_append(headers, "Authorization: Bearer <token>");
      headers = curl_slist_append(headers, "Content-Type: application/json");

      curl_easy_setopt(curl, CURLOPT_URL, url);
      curl_easy_setopt(curl, CURLOPT_POSTFIELDS, payload);
      curl_easy_setopt(curl, CURLOPT_HTTPHEADER, headers);

      res = curl_easy_perform(curl);

      if(res != CURLE_OK) {
          fprintf(stderr, "curl_easy_perform() failed: %s\n",
                  curl_easy_strerror(res));
      }

      curl_slist_free_all(headers);
      curl_easy_cleanup(curl);
  }

  curl_global_cleanup();
  return 0;

}
```

```objectivec
#import

int main(int argc, const char * argv[]) {
@autoreleasepool {
NSURL *url = [NSURL URLWithString:@"https://api.openveer.com/v1/images/generations"];

      NSDictionary *payload = @{
          @"model": @"gemini-2.5-flash-image-preview",
          @"prompt": @"月光下的竹林小径",
          @"size": @"1:1",
          @"n": @1,
          @"image_urls": @[
              @"https://openai-documentation.vercel.app/images/cat_and_otter.png"
          ]
      };

      NSError *error;
      NSData *jsonData = [NSJSONSerialization dataWithJSONObject:payload
                                                        options:0
                                                          error:&error];

      NSMutableURLRequest *request = [NSMutableURLRequest requestWithURL:url];
      [request setHTTPMethod:@"POST"];
      [request setValue:@"Bearer <token>" forHTTPHeaderField:@"Authorization"];
      [request setValue:@"application/json" forHTTPHeaderField:@"Content-Type"];
      [request setHTTPBody:jsonData];

      NSURLSessionDataTask *task = [[NSURLSession sharedSession] 
          dataTaskWithRequest:request
          completionHandler:^(NSData *data, NSURLResponse *response, NSError *error) {
              if (error) {
                  NSLog(@"Error: %@", error);
                  return;
              }
              NSString *result = [[NSString alloc] initWithData:data 
                                                      encoding:NSUTF8StringEncoding];
              NSLog(@"%@", result);
          }];

      [task resume];
      [[NSRunLoop mainRunLoop] run];
  }
  return 0;

}
```

```ocaml
( Requires cohttp and yojson libraries )
open Lwt
open Cohttp
open Cohttp_lwt_unix

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

let payload = {|{
"model": "gemini-2.5-flash-image-preview",
"prompt": "月光下的竹林小径",
"size": "1:1",
"n": 1,
"image_urls": [
"https://openai-documentation.vercel.app/images/cat_and_otter.png"
]
}|}

let () =
let headers = Header.init ()
|> fun h -> Header.add h "Authorization" "Bearer "
|> fun h -> Header.add h "Content-Type" "application/json"
in
let body = Cohttp_lwt.Body.of_string payload in

let response = Client.post ~headers ~body (Uri.of_string url) >>= fun (resp, body) ->
  body |> Cohttp_lwt.Body.to_string >|= fun body_str ->
  print_endline body_str
in
Lwt_main.run response

```

```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': 'gemini-2.5-flash-image-preview',
  'prompt': '月光下的竹林小径',
  'size': '1:1',
  'n': 1,
  'image_urls': [
    'https://openai-documentation.vercel.app/images/cat_and_otter.png'
  ]
};

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 = "gemini-2.5-flash-image-preview",
prompt = "月光下的竹林小径",
size = "1:1",
n = 1,
image_urls = list(
"https://openai-documentation.vercel.app/images/cat_and_otter.png"
)
)

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_01K8SGYNNNVBQTXNR4MM964S7K" } ] }

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" } }

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
图像生成模型名称 支持的模型: * `gemini-2.5-flash-image-preview` - 标准版本(兼容别名 `nano-banana-ext`) * `gemini-2.5-flash-image-preview-official` - 官方版本(兼容别名 `nano-banana`) 示例:`"gemini-2.5-flash-image-preview"` 或 `"gemini-2.5-flash-image-preview-official"`
注意
为兼容旧版调用,别名 `nano-banana-ext`(对应 `gemini-2.5-flash-image-preview`)、`nano-banana`(对应 `gemini-2.5-flash-image-preview-official`)仍可正常使用。
prompt string
图像生成的文本描述 最长 1000 个字符
size string
图像生成的尺寸 支持的格式: * 比例:`auto`、`1:1`、`2:3`、`3:2`、`3:4`、`4:3`、`4:5`、`5:4`、`9:16`、`16:9`、`21:9`
警告
文生图 `size` 为 `auto` 时默认 `1:1` 或 `16:9`;图生图按上游返回比例为准。(建议指定比例)
resolution string
输出图像分辨率 支持的值: * `1K` - 1K 分辨率(默认)
n integer
生成图像的数量 取值范围:1 默认值:1 **⚠️ 注意:** 必须输入纯数字(如 `1`),不要加引号,否则会报错
official_fallback boolean
是否使用官方渠道兜底 * `false`:不使用(默认) * `true`:使用官方渠道
警告
当使用官方渠道(`gemini-2.5-flash-image-preview-official`)时,不能使用此参数。
image_urls array
参考图像的 URL 列表,用于图生图或图像编辑 **💡 快速填写(Try it 区域):** 1. 点击 "+ Add an item" 添加一个图像URL 2. 输入图像的完整 URL 地址或base64数据 数组中的每个元素为字符串,支持两种格式: **1. 完整的图像URL地址** * 公开可访问的图像URL(http\:// 或 https\://) * 示例:`"https://example.com/image.jpg"` **2. Base64 编码格式** * **必须使用完整的 Data URI 格式** * 格式:`data:image/{格式};base64,{base64数据}` * 支持的图片格式:jpeg、png、webp 等 * 示例:`"data:image/jpeg;base64,/9j/4AAQSkZJRgABAQEAYABg..."` * ⚠️ 注意:必须包含 `data:image/jpeg;base64,` 前缀部分 **限制:** * 单张图片不超过 10MB * 支持格式:.jpeg、.jpg、.png、.webp **限制:** 最多 14 张图片

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