Text to Image
Create AI images from text prompts
Google/nano-banana-2
nano-banana-2
Ultra-fast image generation via Gemini 3.1 Flash API built for high-concurrency and stable response times. Lowest cost-per-image for high-traffic applications. Built for free testing and stable API workflows.
Text to Image
Related Nano Banana 2 Models
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Nano Banana 2 Pricing
| Parameters | Price | Original Price | Discount |
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Examples
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Fast & Affordable Nano Banana 2 API (Gemini 3.1 Flash Image Generation)
Nano Banana 2 API (powered by Gemini 3.1 Flash Image) is Google's fastest and most cost-effective solution for AI image generation. This lightning-fast Gemini image API delivers near-Pro quality at 3-5x faster speeds and up to 40% lower cost, making it ideal for high-volume text-to-image generation. Built on Google's Gemini 3.1 Flash architecture, it provides developers with an ultra-responsive, affordable API integration for rapid creative iteration and production workflows.
Key Features of Nano Banana 2 API
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Lightning-Fast Image Generation: Generate high-quality images 3-5x faster than Nano Banana Pro through optimized Gemini 3.1 Flash architecture. Perfect for rapid prototyping and high-volume production workflows.
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Cost-Effective API Pricing: Save up to 50% compared to Pro-tier models while maintaining 95% of the quality. Starting per 1K image, this affordable Gemini image API maximizes ROI for developers.
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Near-Pro Quality Output: Achieve professional-grade results with advanced semantic understanding, realistic textures, and accurate composition through cost-effective Gemini API integration.
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Rapid Iteration Support: Flash-speed generation enables quick creative exploration, A/B testing, and iterative refinement—ideal for agile development and content creation workflows.
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Flexible Aspect Ratio Support: Generate images in 11 different aspect ratios (1:1, 4:3, 3:4, 16:9, 9:16, 3:2, 2:3, 4:5, 5:4, 21:9, 9:21) optimized for any platform or use case.
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Advanced Prompt Understanding: Leverage Gemini 3.1's improved instruction-following capabilities for precise control over composition, lighting, style, and subject placement through natural language prompts.
How to Use Nano Banana 2 API for Fast Image Generation on Flaq AI
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Input: Natural language text prompts with detailed descriptions, composition guidance, and style direction.
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Output: High-resolution generated images delivered via secure CDN URLs through our fast and affordable Gemini image API.
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Aspect Ratios: 11 supported formats including square (1:1), landscape (16:9, 21:9, 4:3, 3:2), portrait (9:16, 9:21, 3:4, 2:3), and social media optimized (4:5, 5:4).
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Capabilities: Lightning-fast text-to-image generation, multi-object composition, character consistency, and multilingual text rendering through cost-effective Gemini 3.1 Flash API integration.
Best Use Cases for Nano Banana 2 API Integration
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High-Volume Content Creation: Generate thousands of images daily for social media, blogs, and digital marketing campaigns using this fast and affordable Gemini image API—perfect for content agencies and publishers.
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Rapid Prototyping & Iteration: Quickly explore creative concepts, test multiple variations, and iterate on designs with lightning-fast generation speeds ideal for agile workflows.
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Social Media Marketing: Produce platform-optimized visuals for Instagram, TikTok, YouTube thumbnails, and Facebook ads at scale with appropriate aspect ratios and fast turnaround times.
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E-commerce Product Mockups: Create product lifestyle shots, contextual placements, and promotional visuals rapidly through cost-effective API integration—ideal for online retailers.
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Real-Time Applications: Power chatbots, interactive experiences, and on-demand image generation features with sub-10-second response times through our ultra-fast Gemini 3.1 Flash API.
Note: Please ensure prompts adhere to Google's safety guidelines. If an error occurs, refine your prompt to remove restricted content and try again.
Nano Banana 2 vs Competitors: Comparative Analysis
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Nano Banana 2 vs. Nano Banana Pro
Nano Banana Pro delivers maximum quality with advanced reasoning and 4K output, ideal for premium commercial work. Nano Banana 2 prioritizes speed and cost-efficiency, generating images 3-5x faster at roughly half the cost while maintaining 95% of Pro's quality—perfect for high-volume workflows and rapid iteration. -
Nano Banana 2 vs. DALL-E 3 (OpenAI)
DALL-E 3 offers strong creative versatility and broad style range. Nano Banana 2 differentiates through superior generation speed (3-5x faster), lower API costs (up to 40% savings), and better prompt adherence powered by Gemini 3.1 Flash—making it the preferred choice for cost-sensitive, high-throughput applications. -
Nano Banana 2 vs. Stable Diffusion XL
Stable Diffusion XL provides open-source flexibility and customization options. Nano Banana 2 offers hassle-free API integration, faster generation speeds, better out-of-the-box quality, and no infrastructure management—ideal for developers seeking affordable, production-ready Gemini image generation without operational overhead. -
Nano Banana 2 vs. Midjourney v6
Midjourney v6 excels at artistic excellence and community-driven aesthetics. Nano Banana 2 provides programmatic API access, predictable pricing, 3-5x faster generation, and seamless integration into production workflows—making it superior for developers requiring scalable, fast, and affordable image generation. -
Nano Banana 2 vs. Seedream 4.5
Seedream 4.5 specializes in stylized anime and illustration generation. Nano Banana 2 offers broader versatility across photorealistic and artistic styles, faster generation speeds, better multilingual text support, and more cost-effective API pricing through Gemini 3.1 Flash integration.
Use the Nano Banana 2 Model Directly in Powerful AI Tools
Explore several AI creation tools for quick image and video workflows in your browser, then scale successful ideas with Flaq AI's production-ready model APIs. Flaq AI provides a unified API layer for all models, making it easy to use and scale your workflows.
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API Examples
Submit Example
// Step 1: Submit generation request
const response = await fetch('https://api.flaq.ai/api/v1/image/task', {
method: 'POST',
headers: {
'Content-Type': 'application/json',
'Authorization': 'Bearer YOUR_API_KEY'
},
body: JSON.stringify({
model_name: 'nano-banana-2',
prompt: 'A beautiful sunset over mountains',
width: 16,
height: 9,
resolution: '2k'
})
});
const { data } = await response.json();
const taskId = data.task_id;
Polling Example
// Step 2: Poll for results
const taskId = data.task_id;
const pollResult = async (taskId) => {
const res = await fetch(`https://api.flaq.ai/api/v1/image/${taskId}`, {
headers: { 'Authorization': 'Bearer YOUR_API_KEY' }
});
return res.json();
};
while (true) {
const pollResultData = await pollResult(taskId);
const status = pollResultData.data.task_status;
if (status === 'succeed') {
console.log(pollResultData.data.task_result.images[0].url);
break;
}
if (status === 'failed') {
console.error(pollResultData.data.task_status_msg);
break;
}
await new Promise(resolve => setTimeout(resolve, 10000));
}
Submit Example
# Step 1: Submit generation request
import requests
response = requests.post(
'https://api.flaq.ai/api/v1/image/task',
headers={
'Content-Type': 'application/json',
'Authorization': 'Bearer YOUR_API_KEY'
},
json={
'model_name': 'nano-banana-2',
'prompt': 'A beautiful sunset over mountains',
'width': 16,
'height': 9,
'resolution': '2k'
}
)
result = response.json()
task_id = result['data']['task_id']
Polling Example
# Step 2: Poll for results
task_id = response.json()['data']['task_id']
poll_url = f"https://api.flaq.ai/api/v1/image/{task_id}"
while True:
poll_result = requests.get(poll_url, headers={'Authorization': 'Bearer YOUR_API_KEY'}).json()
status = poll_result['data']['task_status']
if status == 'succeed':
print(poll_result['data']['task_result']['images'][0]['url'])
break
if status == 'failed':
print(poll_result['data']['task_status_msg'])
break
time.sleep(10)
Submit Example
# Step 1: Submit generation request
curl -X POST https://api.flaq.ai/api/v1/image/task \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_API_KEY" \
-d '{
"model_name": "nano-banana-2",
"prompt": "A beautiful sunset over mountains",
"width": 16,
"height": 9,
"resolution": "2k"
}'
Polling Example
# Step 2: Poll for results
# Replace {task_id} with the task_id returned from the submit response
curl -X GET "https://api.flaq.ai/api/v1/image/{task_id}" \
-H "Authorization: Bearer YOUR_API_KEY"