Gemini-3-Pro 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-pro-image-preview",
    "prompt": "未来城市的天际线，霓虹灯光",
    "size": "16:9",
    "n": 1,
    "metadata": {
      "resolution": "1K",
      "orientation": "landscape"
    }
  }'

curl --request POST \
  --url https://toapis.com/v1/images/generations \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '{
    "model": "gemini-3-pro-image-preview",
    "prompt": "增强这张城市照片的色彩和细节",
    "size": "16:9",
    "n": 1,
    "metadata": {
      "resolution": "2K"
    },
    "image_urls": ["https://example.com/city.jpg"]
  }'

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-pro-image-preview",
        "prompt": "未来城市的天际线，霓虹灯光",
        "size": "16:9",
        "n": 1,
        "metadata": {
            "resolution": "1K",
            "orientation": "landscape"
        }
    }
)

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-pro-image-preview",
        "prompt": "增强这张城市照片的色彩和细节",
        "size": "16:9",
        "n": 1,
        "metadata": {
            "resolution": "2K"
        },
        "image_urls": ["https://example.com/city.jpg"]
    }
)

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-pro-image-preview',
    prompt: '未来城市的天际线，霓虹灯光',
    size: '16:9',
    n: 1,
    metadata: {
      resolution: '1K',
      orientation: 'landscape'
    }
  })
});

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-pro-image-preview',
    prompt: '增强这张城市照片的色彩和细节',
    size: '16:9',
    n: 1,
    metadata: {
      resolution: '2K'
    },
    image_urls: ['https://example.com/city.jpg']
  })
});

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-pro-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-pro-image-preview",
    "prompt": "未来城市的天际线，霓虹灯光",
    "size": "16:9",
    "n": 1,
    "metadata": {
      "resolution": "1K",
      "orientation": "landscape"
    }
  }'

curl --request POST \
  --url https://toapis.com/v1/images/generations \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '{
    "model": "gemini-3-pro-image-preview",
    "prompt": "增强这张城市照片的色彩和细节",
    "size": "16:9",
    "n": 1,
    "metadata": {
      "resolution": "2K"
    },
    "image_urls": ["https://example.com/city.jpg"]
  }'

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-pro-image-preview",
        "prompt": "未来城市的天际线，霓虹灯光",
        "size": "16:9",
        "n": 1,
        "metadata": {
            "resolution": "1K",
            "orientation": "landscape"
        }
    }
)

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-pro-image-preview",
        "prompt": "增强这张城市照片的色彩和细节",
        "size": "16:9",
        "n": 1,
        "metadata": {
            "resolution": "2K"
        },
        "image_urls": ["https://example.com/city.jpg"]
    }
)

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-pro-image-preview',
    prompt: '未来城市的天际线，霓虹灯光',
    size: '16:9',
    n: 1,
    metadata: {
      resolution: '1K',
      orientation: 'landscape'
    }
  })
});

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-pro-image-preview',
    prompt: '增强这张城市照片的色彩和细节',
    size: '16:9',
    n: 1,
    metadata: {
      resolution: '2K'
    },
    image_urls: ['https://example.com/city.jpg']
  })
});

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-pro-image-preview",
  "status": "queued",
  "progress": 0,
  "created_at": 1703884800,
  "metadata": {}
}

Google Gemini 3 Pro 强大图像生成模型 (Nano banana2)
通过 model 参数选择 gemini-3-pro-image-preview 模型
支持文本到图像生成
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-pro-image-preview"

必填

图像生成模型名称可用模型别名：nano-banana-pro示例："gemini-3-pro-image-preview"

string

必填

图像生成的文本描述上游模型输入上限为 65,536 tokens。ToAPIs 不额外设置 1000 字符限制。

string

图像生成的尺寸比例支持的格式：

比例：1:1, 2:3, 3:2, 3:4, 4:3, 4:5, 5:4, 9:16, 16:9, 21:9

integer

默认值:1

生成图像的数量固定为 1⚠️ 注意：必须是纯数字（如 1），不要加引号，否则会报错

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：

1K - 1K 分辨率（默认）
2K - 2K 分辨率
4K - 4K 分辨率

string

图像方向支持的值：

landscape - 横向
portrait - 竖向

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

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-pro-image-preview",
    "prompt": "未来城市的天际线，霓虹灯光",
    "size": "16:9",
    "n": 1,
    "metadata": {
      "resolution": "1K",
      "orientation": "landscape"
    }
  }'

curl --request POST \
  --url https://toapis.com/v1/images/generations \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '{
    "model": "gemini-3-pro-image-preview",
    "prompt": "增强这张城市照片的色彩和细节",
    "size": "16:9",
    "n": 1,
    "metadata": {
      "resolution": "2K"
    },
    "image_urls": ["https://example.com/city.jpg"]
  }'

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-pro-image-preview",
        "prompt": "未来城市的天际线，霓虹灯光",
        "size": "16:9",
        "n": 1,
        "metadata": {
            "resolution": "1K",
            "orientation": "landscape"
        }
    }
)

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-pro-image-preview",
        "prompt": "增强这张城市照片的色彩和细节",
        "size": "16:9",
        "n": 1,
        "metadata": {
            "resolution": "2K"
        },
        "image_urls": ["https://example.com/city.jpg"]
    }
)

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-pro-image-preview',
    prompt: '未来城市的天际线，霓虹灯光',
    size: '16:9',
    n: 1,
    metadata: {
      resolution: '1K',
      orientation: 'landscape'
    }
  })
});

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-pro-image-preview',
    prompt: '增强这张城市照片的色彩和细节',
    size: '16:9',
    n: 1,
    metadata: {
      resolution: '2K'
    },
    image_urls: ['https://example.com/city.jpg']
  })
});

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-pro-image-preview",
  "status": "queued",
  "progress": 0,
  "created_at": 1703884800,
  "metadata": {}
}

Responses API Gemini-3.1-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