Gemini-3.1-Flash 图像生成

curl --request POST \
  --url https://toapis.com/v1/images/generations \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '{
    "model": "gemini-3.1-flash-image-preview",
    "prompt": "赛博朋克风格的城市夜景，霓虹灯闪烁",
    "size": "16:9",
    "n": 1,
    "metadata": {
      "resolution": "2K"
    }
  }'

curl --request POST \
  --url https://toapis.com/v1/images/generations \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '{
    "model": "gemini-3.1-flash-image-preview",
    "prompt": "将这张照片改为水彩画风格",
    "size": "1:1",
    "n": 1,
    "image_urls": ["https://example.com/photo.jpg"],
    "metadata": {
      "resolution": "2K"
    }
  }'

curl --request POST \
  --url https://toapis.com/v1/images/generations \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '{
    "model": "gemini-3.1-flash-image-preview",
    "prompt": "2024年最新款 iPhone 产品宣传图",
    "size": "16:9",
    "n": 1,
    "metadata": {
      "resolution": "2K",
      "google_search": true,
      "google_image_search": true
    }
  }'

import requests

response = requests.post(
    "https://toapis.com/v1/images/generations",
    headers={
        "Authorization": "Bearer your-ToAPIs-key",
        "Content-Type": "application/json"
    },
    json={
        "model": "gemini-3.1-flash-image-preview",
        "prompt": "赛博朋克风格的城市夜景，霓虹灯闪烁",
        "size": "16:9",
        "n": 1,
        "metadata": {
            "resolution": "2K"
        }
    }
)

task = response.json()
print(f"任务 ID: {task['id']}")
print(f"状态: {task['status']}")

import requests

response = requests.post(
    "https://toapis.com/v1/images/generations",
    headers={
        "Authorization": "Bearer your-ToAPIs-key",
        "Content-Type": "application/json"
    },
    json={
        "model": "gemini-3.1-flash-image-preview",
        "prompt": "将这张照片改为水彩画风格",
        "size": "1:1",
        "n": 1,
        "image_urls": ["https://example.com/photo.jpg"],
        "metadata": {
            "resolution": "2K"
        }
    }
)

task = response.json()
print(f"任务 ID: {task['id']}")
print(f"状态: {task['status']}")

const response = await fetch('https://toapis.com/v1/images/generations', {
  method: 'POST',
  headers: {
    'Authorization': 'Bearer your-ToAPIs-key',
    'Content-Type': 'application/json'
  },
  body: JSON.stringify({
    model: 'gemini-3.1-flash-image-preview',
    prompt: '赛博朋克风格的城市夜景，霓虹灯闪烁',
    size: '16:9',
    n: 1,
    metadata: {
      resolution: '2K'
    }
  })
});

const task = await response.json();
console.log(`任务 ID: ${task.id}`);
console.log(`状态: ${task.status}`);

const response = await fetch('https://toapis.com/v1/images/generations', {
  method: 'POST',
  headers: {
    'Authorization': 'Bearer your-ToAPIs-key',
    'Content-Type': 'application/json'
  },
  body: JSON.stringify({
    model: 'gemini-3.1-flash-image-preview',
    prompt: '将这张照片改为水彩画风格',
    size: '1:1',
    n: 1,
    image_urls: ['https://example.com/photo.jpg'],
    metadata: {
      resolution: '2K'
    }
  })
});

const task = await response.json();
console.log(`任务 ID: ${task.id}`);
console.log(`状态: ${task.status}`);

{
  "id": "task_img_abc123def456",
  "object": "generation.task",
  "model": "gemini-3.1-flash-image-preview",
  "status": "queued",
  "progress": 0,
  "created_at": 1703884800,
  "metadata": {}
}

POST

images

generations

curl --request POST \
  --url https://toapis.com/v1/images/generations \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '{
    "model": "gemini-3.1-flash-image-preview",
    "prompt": "赛博朋克风格的城市夜景，霓虹灯闪烁",
    "size": "16:9",
    "n": 1,
    "metadata": {
      "resolution": "2K"
    }
  }'

curl --request POST \
  --url https://toapis.com/v1/images/generations \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '{
    "model": "gemini-3.1-flash-image-preview",
    "prompt": "将这张照片改为水彩画风格",
    "size": "1:1",
    "n": 1,
    "image_urls": ["https://example.com/photo.jpg"],
    "metadata": {
      "resolution": "2K"
    }
  }'

curl --request POST \
  --url https://toapis.com/v1/images/generations \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '{
    "model": "gemini-3.1-flash-image-preview",
    "prompt": "2024年最新款 iPhone 产品宣传图",
    "size": "16:9",
    "n": 1,
    "metadata": {
      "resolution": "2K",
      "google_search": true,
      "google_image_search": true
    }
  }'

import requests

response = requests.post(
    "https://toapis.com/v1/images/generations",
    headers={
        "Authorization": "Bearer your-ToAPIs-key",
        "Content-Type": "application/json"
    },
    json={
        "model": "gemini-3.1-flash-image-preview",
        "prompt": "赛博朋克风格的城市夜景，霓虹灯闪烁",
        "size": "16:9",
        "n": 1,
        "metadata": {
            "resolution": "2K"
        }
    }
)

task = response.json()
print(f"任务 ID: {task['id']}")
print(f"状态: {task['status']}")

import requests

response = requests.post(
    "https://toapis.com/v1/images/generations",
    headers={
        "Authorization": "Bearer your-ToAPIs-key",
        "Content-Type": "application/json"
    },
    json={
        "model": "gemini-3.1-flash-image-preview",
        "prompt": "将这张照片改为水彩画风格",
        "size": "1:1",
        "n": 1,
        "image_urls": ["https://example.com/photo.jpg"],
        "metadata": {
            "resolution": "2K"
        }
    }
)

task = response.json()
print(f"任务 ID: {task['id']}")
print(f"状态: {task['status']}")

const response = await fetch('https://toapis.com/v1/images/generations', {
  method: 'POST',
  headers: {
    'Authorization': 'Bearer your-ToAPIs-key',
    'Content-Type': 'application/json'
  },
  body: JSON.stringify({
    model: 'gemini-3.1-flash-image-preview',
    prompt: '赛博朋克风格的城市夜景，霓虹灯闪烁',
    size: '16:9',
    n: 1,
    metadata: {
      resolution: '2K'
    }
  })
});

const task = await response.json();
console.log(`任务 ID: ${task.id}`);
console.log(`状态: ${task.status}`);

const response = await fetch('https://toapis.com/v1/images/generations', {
  method: 'POST',
  headers: {
    'Authorization': 'Bearer your-ToAPIs-key',
    'Content-Type': 'application/json'
  },
  body: JSON.stringify({
    model: 'gemini-3.1-flash-image-preview',
    prompt: '将这张照片改为水彩画风格',
    size: '1:1',
    n: 1,
    image_urls: ['https://example.com/photo.jpg'],
    metadata: {
      resolution: '2K'
    }
  })
});

const task = await response.json();
console.log(`任务 ID: ${task.id}`);
console.log(`状态: ${task.status}`);

{
  "id": "task_img_abc123def456",
  "object": "generation.task",
  "model": "gemini-3.1-flash-image-preview",
  "status": "queued",
  "progress": 0,
  "created_at": 1703884800,
  "metadata": {}
}

Google Gemini 3.1 Flash 图像生成模型（Nano banana2）
通过 model 参数选择 gemini-3.1-flash-image-preview 模型
支持文生图、图生图，最高 4K 分辨率输出
最多 14 张参考图，保持风格/角色一致性
支持极端宽高比（1:4、4:1、1:8、8:1）
集成 Google Search 搜索增强，生成更贴合真实世界的图片
异步任务管理，通过任务 ID 查询结果

重要变更：为了更好的性能和成本控制，我们不再支持在 image_urls 中直接传入 base64 图片数据。请先使用上传图片接口上传图片，获取 URL 后再调用本接口。

Authorizations

string

必填

所有接口均需要使用 Bearer Token 进行认证获取 API Key：访问 API Key 管理页面获取您的 API Key使用时在请求头中添加：

Authorization: Bearer YOUR_API_KEY

Body

string

默认值:"gemini-3.1-flash-image-preview"

必填

图像生成模型名称示例："gemini-3.1-flash-image-preview"

string

必填

图像生成的文本描述

string

图像生成的宽高比支持的比例：

值	适用场景
`1:1`	方形图、头像、社交媒体
`3:2` / `2:3`	标准照片
`4:3` / `3:4`	传统显示器比例
`16:9` / `9:16`	宽屏/竖屏视频封面
`5:4` / `4:5`	Instagram 图片
`21:9`	超宽屏 Banner
`1:4` / `4:1`	长条海报/横幅
`1:8` / `8:1`	极端长图/横幅广告

integer

默认值:1

生成图像的数量⚠️ 注意： 必须是纯数字（如 1），不要加引号，否则会报错

object[]

参考图像 URL 列表，用于图生图或图像编辑

显示详细字段说明

string

必填

图像 URL 地址⚠️ 仅支持 URL 格式（不再支持 base64）

公开可访问的图片 URL（http:// 或 https://）
示例：https://example.com/image.jpg
可使用上传图片接口上传本地图片获取 URL

限制：

单张图片不得超过 10MB
支持格式：.jpeg, .jpg, .png, .webp

限制： 最多 14 张图片（建议：最多 10 张物体参考 + 4 张角色参考）

object

元数据参数，用于传递额外的配置选项

显示支持的元数据字段

string

默认值:"1K"

输出图像分辨率支持的值：

0.5K - 约 512px，低分辨率预览
1K - 约 1024px，标准分辨率（默认）
2K - 约 2048px，高分辨率
4K - 约 4096px，超高分辨率

注意： 不同分辨率计费不同，4K 价格高于 1K

boolean

默认值:"false"

启用 Google 文字搜索增强

true：模型会先搜索网络文字信息来辅助生成图片，适合需要真实信息的场景
false：不启用（默认）

boolean

默认值:"false"

启用 Google 图片搜索增强

true：除了文字搜索，还会搜索参考图片来辅助生成，适合需要视觉参考的场景
false：不启用（默认）

注意： 需要配合 google_search: true 一起使用

Response

string

任务唯一标识符，用于查询任务状态

string

对象类型，固定为 generation.task

string

使用的模型名称

string

任务状态

queued - 排队等待处理
in_progress - 处理中
completed - 成功完成
failed - 失败

integer

任务进度百分比（0-100）

integer

任务创建时间戳（Unix 时间戳）

object

任务元数据

curl --request POST \
  --url https://toapis.com/v1/images/generations \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '{
    "model": "gemini-3.1-flash-image-preview",
    "prompt": "赛博朋克风格的城市夜景，霓虹灯闪烁",
    "size": "16:9",
    "n": 1,
    "metadata": {
      "resolution": "2K"
    }
  }'

curl --request POST \
  --url https://toapis.com/v1/images/generations \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '{
    "model": "gemini-3.1-flash-image-preview",
    "prompt": "将这张照片改为水彩画风格",
    "size": "1:1",
    "n": 1,
    "image_urls": ["https://example.com/photo.jpg"],
    "metadata": {
      "resolution": "2K"
    }
  }'

curl --request POST \
  --url https://toapis.com/v1/images/generations \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '{
    "model": "gemini-3.1-flash-image-preview",
    "prompt": "2024年最新款 iPhone 产品宣传图",
    "size": "16:9",
    "n": 1,
    "metadata": {
      "resolution": "2K",
      "google_search": true,
      "google_image_search": true
    }
  }'

import requests

response = requests.post(
    "https://toapis.com/v1/images/generations",
    headers={
        "Authorization": "Bearer your-ToAPIs-key",
        "Content-Type": "application/json"
    },
    json={
        "model": "gemini-3.1-flash-image-preview",
        "prompt": "赛博朋克风格的城市夜景，霓虹灯闪烁",
        "size": "16:9",
        "n": 1,
        "metadata": {
            "resolution": "2K"
        }
    }
)

task = response.json()
print(f"任务 ID: {task['id']}")
print(f"状态: {task['status']}")

import requests

response = requests.post(
    "https://toapis.com/v1/images/generations",
    headers={
        "Authorization": "Bearer your-ToAPIs-key",
        "Content-Type": "application/json"
    },
    json={
        "model": "gemini-3.1-flash-image-preview",
        "prompt": "将这张照片改为水彩画风格",
        "size": "1:1",
        "n": 1,
        "image_urls": ["https://example.com/photo.jpg"],
        "metadata": {
            "resolution": "2K"
        }
    }
)

task = response.json()
print(f"任务 ID: {task['id']}")
print(f"状态: {task['status']}")

const response = await fetch('https://toapis.com/v1/images/generations', {
  method: 'POST',
  headers: {
    'Authorization': 'Bearer your-ToAPIs-key',
    'Content-Type': 'application/json'
  },
  body: JSON.stringify({
    model: 'gemini-3.1-flash-image-preview',
    prompt: '赛博朋克风格的城市夜景，霓虹灯闪烁',
    size: '16:9',
    n: 1,
    metadata: {
      resolution: '2K'
    }
  })
});

const task = await response.json();
console.log(`任务 ID: ${task.id}`);
console.log(`状态: ${task.status}`);

const response = await fetch('https://toapis.com/v1/images/generations', {
  method: 'POST',
  headers: {
    'Authorization': 'Bearer your-ToAPIs-key',
    'Content-Type': 'application/json'
  },
  body: JSON.stringify({
    model: 'gemini-3.1-flash-image-preview',
    prompt: '将这张照片改为水彩画风格',
    size: '1:1',
    n: 1,
    image_urls: ['https://example.com/photo.jpg'],
    metadata: {
      resolution: '2K'
    }
  })
});

const task = await response.json();
console.log(`任务 ID: ${task.id}`);
console.log(`状态: ${task.status}`);

{
  "id": "task_img_abc123def456",
  "object": "generation.task",
  "model": "gemini-3.1-flash-image-preview",
  "status": "queued",
  "progress": 0,
  "created_at": 1703884800,
  "metadata": {}
}

Gemini-3-Pro-Image Gemini-2.5-Flash-Image

概览

快速上手

文本对话系列

图像系列

视频系列

任务管理

文件上传

账户

常见问题

Authorizations

Body

Response

​Authorizations

​Body

​Response

Authorizations

Body

Response