Gemini-3-Pro 画像生成

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": "Futuristic city skyline with neon lights",
    "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": "Enhance the colors and details of this city photo",
    "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": "Futuristic city skyline with neon lights",
        "size": "16:9",
        "n": 1,
        "metadata": {
            "resolution": "1K",
            "orientation": "landscape"
        }
    }
)

task = response.json()
print(f"Task ID: {task['id']}")
print(f"Status: {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": "Enhance the colors and details of this city photo",
        "size": "16:9",
        "n": 1,
        "metadata": {
            "resolution": "2K"
        },
        "image_urls": ["https://example.com/city.jpg"]
    }
)

task = response.json()
print(f"Task ID: {task['id']}")
print(f"Status: {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: 'Futuristic city skyline with neon lights',
    size: '16:9',
    n: 1,
    metadata: {
      resolution: '1K',
      orientation: 'landscape'
    }
  })
});

const task = await response.json();
console.log(`Task ID: ${task.id}`);
console.log(`Status: ${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: 'Enhance the colors and details of this city photo',
    size: '16:9',
    n: 1,
    metadata: {
      resolution: '2K'
    },
    image_urls: ['https://example.com/city.jpg']
  })
});

const task = await response.json();
console.log(`Task ID: ${task.id}`);
console.log(`Status: ${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": "Futuristic city skyline with neon lights",
    "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": "Enhance the colors and details of this city photo",
    "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": "Futuristic city skyline with neon lights",
        "size": "16:9",
        "n": 1,
        "metadata": {
            "resolution": "1K",
            "orientation": "landscape"
        }
    }
)

task = response.json()
print(f"Task ID: {task['id']}")
print(f"Status: {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": "Enhance the colors and details of this city photo",
        "size": "16:9",
        "n": 1,
        "metadata": {
            "resolution": "2K"
        },
        "image_urls": ["https://example.com/city.jpg"]
    }
)

task = response.json()
print(f"Task ID: {task['id']}")
print(f"Status: {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: 'Futuristic city skyline with neon lights',
    size: '16:9',
    n: 1,
    metadata: {
      resolution: '1K',
      orientation: 'landscape'
    }
  })
});

const task = await response.json();
console.log(`Task ID: ${task.id}`);
console.log(`Status: ${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: 'Enhance the colors and details of this city photo',
    size: '16:9',
    n: 1,
    metadata: {
      resolution: '2K'
    },
    image_urls: ['https://example.com/city.jpg']
  })
});

const task = await response.json();
console.log(`Task ID: ${task.id}`);
console.log(`Status: ${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 powerful image generation model (Nano banana2)
Use model parameter to select gemini-3-pro-image-preview model
Supports text-to-image generation
Async task management, query results by task ID

Important Change: For better performance and cost control, we no longer support passing base64 image data directly in image_urls. Please use the Upload 画像API first to upload images and get URLs, then call this endpoint.

Authorizations

string

必須

All endpoints require Bearer Token authenticationGet your API Key from the API Key Management PageAdd to request header:

Authorization: Bearer YOUR_API_KEY

Body

string

デフォルト:"gemini-3-pro-image-preview"

必須

Image generation model nameモデル alias: nano-banana-proExample: "gemini-3-pro-image-preview"

string

必須

Text description for image generationThe upstream model input limit is 65,536 tokens. ToAPIs does not add a 1000-character cap.

string

Image generation aspect ratioSupported formats:

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

integer

デフォルト:1

Number of images to generateFixed at 1⚠️ Note: Must be a pure number (e.g. 1), do not add quotes, otherwise it will error

object

Metadata parameters for passing additional configuration options

表示 Supported metadata fields

string

デフォルト:"1K"

Output image resolutionSupported values:

1K - 1K resolution (default)
2K - 2K resolution
4K - 4K resolution

string

Image orientationSupported values:

landscape - Landscape
portrait - Portrait

object[]

List of reference image URLs for image-to-image or image editing

表示 Detailed field description

string

必須

Image URL address⚠️ URL format only (base64 no longer supported)

Publicly accessible image URL (http:// or https://)
Example: https://example.com/image.jpg
You can use the Upload 画像API to upload local images and get URLs

Limitations:

Single image must not exceed 10MB
Supported formats: .jpeg, .jpg, .png, .webp

Limit: Maximum 14 images

レスポンス

string

Unique task identifier for status queries

string

Object type, always generation.task

string

モデル name used

string

Task status

queued - Queued for processing
in_progress - Processing
completed - Successfully completed
failed - Failed

integer

Task progress percentage (0-100)

integer

Task creation timestamp (Unix timestamp)

object

Task metadata

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": "Futuristic city skyline with neon lights",
    "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": "Enhance the colors and details of this city photo",
    "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": "Futuristic city skyline with neon lights",
        "size": "16:9",
        "n": 1,
        "metadata": {
            "resolution": "1K",
            "orientation": "landscape"
        }
    }
)

task = response.json()
print(f"Task ID: {task['id']}")
print(f"Status: {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": "Enhance the colors and details of this city photo",
        "size": "16:9",
        "n": 1,
        "metadata": {
            "resolution": "2K"
        },
        "image_urls": ["https://example.com/city.jpg"]
    }
)

task = response.json()
print(f"Task ID: {task['id']}")
print(f"Status: {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: 'Futuristic city skyline with neon lights',
    size: '16:9',
    n: 1,
    metadata: {
      resolution: '1K',
      orientation: 'landscape'
    }
  })
});

const task = await response.json();
console.log(`Task ID: ${task.id}`);
console.log(`Status: ${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: 'Enhance the colors and details of this city photo',
    size: '16:9',
    n: 1,
    metadata: {
      resolution: '2K'
    },
    image_urls: ['https://example.com/city.jpg']
  })
});

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

{
  "id": "task_img_abc123def456",
  "object": "generation.task",
  "model": "gemini-3-pro-image-preview",
  "status": "queued",
  "progress": 0,
  "created_at": 1703884800,
  "metadata": {}
}

概要

クイックスタート

チャットAPI

画像API

動画API

タスク管理

ファイルアップロード

アカウント

よくある質問

Authorizations

Body

レスポンス

​Authorizations

​Body

​レスポンス

Authorizations

Body

レスポンス