🍌 Google Nanobanana Image Generation

3 ICper request (Nanobanana)|6 ICper request (Nanobanana Pro)

v1.0 Active

Generate stunning, high-quality images from text descriptions using Google's latest Gemini AI models. Perfect for creating marketing materials, infographics, charts, product visualizations, and artistic content.

Available Models

Model	Endpoint	Cost	Best For
Nanobanana (gemini-2.5-flash-image)	`/v3/image/generation/google/nanobanana/generate`	3 IC	Fast generation, simple graphics, quick prototypes
Nanobanana Pro (gemini-3-pro-image-preview)	`/v3/image/generation/google/nanobananapro/generate`	8 IC	High-quality output, complex scenes, detailed artwork, 4K resolution, correct Thai text in images

Try Demo

试用 AI 演示

登录或创建免费账户来使用此 AI 服务演示并探索我们强大的 API。

注册即可获得 100 积分 (IC) 免费赠送！

优惠截止至 2025 年 12 月 31 日

免费创建账户登录

Select Model

Example Prompts (Click to try)

API Key

Endpoint URL

Reference Images (Optional, max 10)

Aspect Ratio

Resolution

Temperature1.0

Google Search Grounding

cURL Command

Image Generation Prompt

Key Features

Text-to-Image Generation

Transform your text descriptions into stunning visuals. Simply describe what you want, and the AI will generate it.

High-Fidelity Text Rendering

Accurately generates legible text within images - perfect for infographics, charts, and marketing materials.

Iteratively adjust and refine generated images through conversation - ask for changes and the AI will update accordingly.

Thai Context Optimization

Optimized for Thai-specific content including temples, food, festivals, and cultural elements.

Use Cases

Marketing & Advertising

Social media graphics
Banner ads and promotional materials
Product visualizations
Campaign imagery

Business & Data Visualization

Infographics and data charts
Presentation slides
Report illustrations
Process diagrams

E-Commerce

Product mockups
Lifestyle photography
Category banners
Promotional graphics

Content Creation

Blog post illustrations
YouTube thumbnails
Podcast covers
Article headers

Getting Started

Prerequisites
- An API key from iApp Technology
- Text prompt describing the image you want to generate
Quick Start
- Choose between Nanobanana (fast, 3 IC) or Nanobanana Pro (high-quality, 8 IC)
- Send a POST request with your prompt
- Receive base64-encoded image in response
Best Practices
- Be descriptive: "A Thai temple at sunset with golden spires" works better than "temple"
- Specify style: "minimalist", "photorealistic", "watercolor", etc.
- Include context: colors, lighting, composition, mood

How to get API Key?

Please visit API Key Management page to view your existing API key or request a new one.

API Endpoints

Endpoint	Method	Description	Cost
`/v3/image/generation/google/nanobanana/generate`	POST	Fast image generation (gemini-2.5-flash-image)	3 IC per request
`/v3/image/generation/google/nanobananapro/generate`	POST	High-quality image generation (gemini-3-pro-image-preview)	8 IC per request

Request Format

Headers

Name	Type	Description
apikey	String	Your iApp API Key
Content-Type	String	`application/json`

Request Body

{
  "contents": [
    {
      "parts": [
        {
          "text": "Your image description prompt here"
        }
      ]
    }
  ],
  "generationConfig": {
    "responseModalities": ["TEXT", "IMAGE"]
  }
}

Response Format

{
  "candidates": [
    {
      "content": {
        "parts": [
          {
            "inlineData": {
              "mimeType": "image/png",
              "data": "base64_encoded_image_data..."
            }
          }
        ]
      }
    }
  ]
}

Code Examples

curl -X POST 'https://api.iapp.co.th/v3/image/generation/google/nanobanana/generate' \
  -H 'apikey: YOUR_API_KEY' \
  -H 'Content-Type: application/json' \
  -d '{
    "contents": [
      {
        "parts": [
          {
            "text": "Create a beautiful Thai temple at sunset with golden spires"
          }
        ]
      }
    ],
    "generationConfig": {
      "responseModalities": ["TEXT", "IMAGE"]
    }
  }'

import requests
import base64

url = "https://api.iapp.co.th/v3/image/generation/google/nanobanana/generate"

headers = {
    "apikey": "YOUR_API_KEY",
    "Content-Type": "application/json"
}

payload = {
    "contents": [
        {
            "parts": [
                {
                    "text": "Create a beautiful Thai temple at sunset with golden spires"
                }
            ]
        }
    ],
    "generationConfig": {
        "responseModalities": ["TEXT", "IMAGE"]
    }
}

response = requests.post(url, headers=headers, json=payload)
result = response.json()

# Extract and save the image
if result.get("candidates"):
    for part in result["candidates"][0]["content"]["parts"]:
        if "inlineData" in part:
            image_data = base64.b64decode(part["inlineData"]["data"])
            with open("generated_image.png", "wb") as f:
                f.write(image_data)
            print("Image saved as generated_image.png")

const axios = require('axios');
const fs = require('fs');

const url = 'https://api.iapp.co.th/v3/image/generation/google/nanobanana/generate';

const payload = {
  contents: [
    {
      parts: [
        {
          text: 'Create a beautiful Thai temple at sunset with golden spires'
        }
      ]
    }
  ],
  generationConfig: {
    responseModalities: ['TEXT', 'IMAGE']
  }
};

axios.post(url, payload, {
  headers: {
    'apikey': 'YOUR_API_KEY',
    'Content-Type': 'application/json'
  }
})
.then(response => {
  const candidates = response.data.candidates;
  if (candidates && candidates[0]) {
    for (const part of candidates[0].content.parts) {
      if (part.inlineData) {
        const imageBuffer = Buffer.from(part.inlineData.data, 'base64');
        fs.writeFileSync('generated_image.png', imageBuffer);
        console.log('Image saved as generated_image.png');
      }
    }
  }
})
.catch(error => console.error(error));

<?php

$url = 'https://api.iapp.co.th/v3/image/generation/google/nanobanana/generate';

$payload = json_encode([
    'contents' => [
        [
            'parts' => [
                [
                    'text' => 'Create a beautiful Thai temple at sunset with golden spires'
                ]
            ]
        ]
    ],
    'generationConfig' => [
        'responseModalities' => ['TEXT', 'IMAGE']
    ]
]);

$curl = curl_init();

curl_setopt_array($curl, [
    CURLOPT_URL => $url,
    CURLOPT_RETURNTRANSFER => true,
    CURLOPT_POST => true,
    CURLOPT_POSTFIELDS => $payload,
    CURLOPT_HTTPHEADER => [
        'apikey: YOUR_API_KEY',
        'Content-Type: application/json'
    ],
]);

$response = curl_exec($curl);
curl_close($curl);

$result = json_decode($response, true);

if (isset($result['candidates'][0]['content']['parts'])) {
    foreach ($result['candidates'][0]['content']['parts'] as $part) {
        if (isset($part['inlineData'])) {
            $imageData = base64_decode($part['inlineData']['data']);
            file_put_contents('generated_image.png', $imageData);
            echo "Image saved as generated_image.png\n";
        }
    }
}
?>

import Foundation

let url = URL(string: "https://api.iapp.co.th/v3/image/generation/google/nanobanana/generate")!

var request = URLRequest(url: url)
request.httpMethod = "POST"
request.addValue("YOUR_API_KEY", forHTTPHeaderField: "apikey")
request.addValue("application/json", forHTTPHeaderField: "Content-Type")

let payload: [String: Any] = [
    "contents": [
        [
            "parts": [
                ["text": "Create a beautiful Thai temple at sunset with golden spires"]
            ]
        ]
    ],
    "generationConfig": [
        "responseModalities": ["TEXT", "IMAGE"]
    ]
]

request.httpBody = try? JSONSerialization.data(withJSONObject: payload)

let task = URLSession.shared.dataTask(with: request) { data, response, error in
    guard let data = data else { return }

    if let json = try? JSONSerialization.jsonObject(with: data) as? [String: Any],
       let candidates = json["candidates"] as? [[String: Any]],
       let content = candidates.first?["content"] as? [String: Any],
       let parts = content["parts"] as? [[String: Any]] {

        for part in parts {
            if let inlineData = part["inlineData"] as? [String: Any],
               let base64String = inlineData["data"] as? String,
               let imageData = Data(base64Encoded: base64String) {

                // Save or use the image data
                print("Image data received: \(imageData.count) bytes")
            }
        }
    }
}

task.resume()

import okhttp3.*
import okhttp3.MediaType.Companion.toMediaType
import okhttp3.RequestBody.Companion.toRequestBody
import org.json.JSONObject
import java.io.File
import java.util.Base64

val client = OkHttpClient()

val payload = JSONObject().apply {
    put("contents", org.json.JSONArray().apply {
        put(JSONObject().apply {
            put("parts", org.json.JSONArray().apply {
                put(JSONObject().apply {
                    put("text", "Create a beautiful Thai temple at sunset with golden spires")
                })
            })
        })
    })
    put("generationConfig", JSONObject().apply {
        put("responseModalities", org.json.JSONArray().apply {
            put("TEXT")
            put("IMAGE")
        })
    })
}

val request = Request.Builder()
    .url("https://api.iapp.co.th/v3/image/generation/google/nanobanana/generate")
    .addHeader("apikey", "YOUR_API_KEY")
    .addHeader("Content-Type", "application/json")
    .post(payload.toString().toRequestBody("application/json".toMediaType()))
    .build()

client.newCall(request).execute().use { response ->
    val json = JSONObject(response.body?.string() ?: "")
    val candidates = json.getJSONArray("candidates")
    if (candidates.length() > 0) {
        val parts = candidates.getJSONObject(0)
            .getJSONObject("content")
            .getJSONArray("parts")

        for (i in 0 until parts.length()) {
            val part = parts.getJSONObject(i)
            if (part.has("inlineData")) {
                val base64Data = part.getJSONObject("inlineData").getString("data")
                val imageBytes = Base64.getDecoder().decode(base64Data)
                File("generated_image.png").writeBytes(imageBytes)
                println("Image saved as generated_image.png")
            }
        }
    }
}

Prompt Tips

Be Descriptive

Instead of: "a cat" Try: "A fluffy orange tabby cat sitting on a windowsill, warm afternoon sunlight, cozy home interior"

Specify Style

"photorealistic" - for photo-like images
"watercolor painting" - for artistic styles
"minimalist flat design" - for clean graphics
"3D rendered" - for dimensional look
"vintage poster style" - for retro aesthetics

Include Context

Lighting: "golden hour", "studio lighting", "neon glow"
Composition: "close-up", "wide angle", "bird's eye view"
Mood: "peaceful", "energetic", "dramatic"
Colors: "blue and gold color scheme", "pastel colors", "high contrast"

Thai-Specific Prompts

Reference Thai landmarks: Wat Arun, Grand Palace, Phi Phi Islands
Include Thai elements: lotus flowers, elephants, Thai patterns
Mention Thai festivals: Loy Krathong, Songkran, Thai New Year
Use Thai food: Tom Yum, Pad Thai, Mango Sticky Rice

Pricing

Model	Cost	Best For
Nanobanana	3 IC per request	Quick prototypes, simple graphics, high volume
Nanobanana Pro	8 IC per request	High-quality output, complex scenes, professional use, correct Thai text in images

Limitations

Maximum prompt length: 32,000 characters
Response time: 5-30 seconds depending on complexity
Output format: PNG or JPEG (base64 encoded)
Content policy: No adult content, violence, or copyrighted material

Security & Compliance

GDPR and PDPA compliant
No data retention after processing
SynthID watermarking on all generated images
Content filtering for inappropriate requests

Remove Background - Remove backgrounds from photos
Face Detection - Detect faces in images
Thai Document OCR - Extract text from images

🍌 Google Nanobanana Image Generation

Available Models

Try Demo

试用 AI 演示

Example Prompts (Click to try)

Key Features

Text-to-Image Generation

High-Fidelity Text Rendering

Multi-Turn Refinement

Thai Context Optimization

Use Cases

Marketing & Advertising

Business & Data Visualization

E-Commerce

Content Creation

Getting Started

API Endpoints

Request Format

Headers

Request Body

Response Format

Code Examples

Prompt Tips

Be Descriptive

Specify Style

Include Context

Thai-Specific Prompts

Pricing

Limitations

Security & Compliance

ChindaX

Speechflow

Available Models​

Try Demo​

试用 AI 演示

Example Prompts (Click to try)

Key Features​

Text-to-Image Generation​

High-Fidelity Text Rendering​

Multi-Turn Refinement​

Thai Context Optimization​

Use Cases​

Marketing & Advertising​

Business & Data Visualization​

E-Commerce​

Content Creation​

Getting Started​

API Endpoints​

Request Format​

Headers​

Request Body​

Response Format​

Code Examples​

Prompt Tips​

Be Descriptive​

Specify Style​

Include Context​

Thai-Specific Prompts​

Pricing​

Limitations​

Security & Compliance​

Related APIs​

Available Models

Try Demo

Key Features

Text-to-Image Generation

High-Fidelity Text Rendering

Multi-Turn Refinement

Thai Context Optimization

Use Cases

Marketing & Advertising

Business & Data Visualization

E-Commerce

Content Creation

Getting Started

API Endpoints

Request Format

Headers

Request Body

Response Format

Code Examples

Prompt Tips

Be Descriptive

Specify Style

Include Context

Thai-Specific Prompts

Pricing

Limitations

Security & Compliance

Related APIs