Tutorials

Free, Unlimited Nano Banana (Gemini 2.5 Flash Image) API

This tutorial will show you how to use Puter.js to access Nano Banana (Gemini 2.5 Flash Image) for free image generation, without needing a Google API key. Puter.js is completely free and open-source, allowing you to provide your users with Google's latest image generation capabilities without any API keys or usage restrictions. Using Puter.js, you can access Nano Banana directly from your frontend code without any server-side setup.

Nano Banana (Gemini 2.5 Flash Image) is Google's newest image generation model that creates high-quality images from text descriptions. Puter is the pioneer of the "User Pays" model, which allows developers to incorporate AI capabilities into their applications while each user covers their own usage costs. This model enables developers to offer advanced image generation capabilities to users at no cost to themselves, without any API keys or server-side setup.

Getting Started

You can use Puter.js without any API keys or sign-ups. To start using Puter.js, include the following script tag in your HTML file, either in the <head> or <body> section:

<script src="https://js.puter.com/v2/"></script>

Nothing else is required to start using Puter.js for free access to Nano Banana image generation capabilities.

Example 1Generate a simple image with Nano Banana

To generate an image using Nano Banana, use the puter.ai.txt2img() function with the gemini-2.5-flash-image-preview model:

puter.ai.txt2img("A serene Japanese garden with cherry blossoms", { 
    model: "gemini-2.5-flash-image-preview" 
})
.then(imageElement => {
    document.body.appendChild(imageElement);
});

Full code example:

<html>
<body>
    <h1>Nano Banana Image Generation</h1>
    <script src="https://js.puter.com/v2/"></script>
    <script>
        puter.ai.txt2img("A serene Japanese garden with cherry blossoms", { 
            model: "gemini-2.5-flash-image-preview" 
        })
        .then(imageElement => {
            document.body.appendChild(imageElement);
        });
    </script>
</body>
</html>

Example 2Compare Nano Banana with other models

You can compare Nano Banana's output with other available image generation models:

<html>
<body>
    <h2>Model Comparison</h2>
    <div id="images"></div>
    
    <script src="https://js.puter.com/v2/"></script>
    <script>
        const prompt = "A cyberpunk street scene with neon lights";
        const container = document.getElementById('images');
        
        // Nano Banana (Gemini 2.5 Flash Image Preview)
        puter.ai.txt2img(prompt, { model: "gemini-2.5-flash-image-preview" })
            .then(img => {
                const div = document.createElement('div');
                div.innerHTML = '<h3>Nano Banana (Gemini 2.5 Flash Image Preview)</h3>';
                div.appendChild(img);
                container.appendChild(div);
            });

        // GPT Image for comparison
        puter.ai.txt2img(prompt, { model: "gpt-image-1" })
            .then(img => {
                const div = document.createElement('div');
                div.innerHTML = '<h3>GPT Image</h3>';
                div.appendChild(img);
                container.appendChild(div);
            });
    </script>
</body>
</html>

Example 3Text and Image-to-Image generation

The following example shows how to generate an image from a text prompt and an image by providing input_image and input_image_mime_type parameters:

<html>
<body>
    <script src="https://js.puter.com/v2/"></script>
    <script>
        puter.ai.txt2img("Turn this image into a watercolor painting", { 
            model: "gemini-2.5-flash-image-preview",
            input_image: "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",
            input_image_mime_type: "image/png"
        }).then((image)=>{
            document.body.appendChild(image);
        });
    </script>
</body>
</html>

Other image generation models

Nano Banana is not the only image generation model supported by Puter.js. You can also use the following models with the puter.ai.txt2img() function:

gemini-2.5-flash-image-preview
gpt-image-1
dall-e-3
dall-e-2


That's it! You now have free access to Google's powerful Nano Banana image generation model using Puter.js. This allows you to create applications with cutting-edge AI-powered image generation capabilities without needing Google API keys, backend infrastructure, or managing costs. True serverless image generation with Google's latest technology!


Related

Free, Serverless AI and Cloud

Start creating powerful web applications with Puter.js in seconds!

Get Started Now

Read the Docs • Try the Playground