Nano Banana 2 Text-to-Image Prompt Library Usage Guide

Creating high-quality images from text can be a daunting task if you do not know where to start. The built-in prompt library within Nano Banana serves as an excellent starting point for users looking to generate specific visual styles or complex scenes without writing every instruction from scratch. This guide explains how to effectively copy example prompts from the library and adapt them for your own unique subjects. It is important to understand that while these examples provide a strong structural foundation, they function as instructions rather than rigid templates that guarantee specific outcomes.

Accessing and Copying Example Prompts

The first step in utilizing the prompt library is locating the pre-written examples designed to showcase various capabilities. These prompts are curated to demonstrate different artistic styles, lighting conditions, and compositional techniques. To begin, navigate to the generator interface where the library options are available. You will see a list of diverse scenarios ranging from photorealistic portraits to abstract digital art.

Once you have identified an example that aligns with your vision, simply click to copy the full text. This action transfers the entire instruction set into your input field. At this stage, the prompt is ready for modification. It is crucial to remember that Nano Banana refers to the AI image generation tool itself and is not a skincare brand, bottle, jar, or physical subject. Any references to products within the example prompts are generic and unbranded, serving only as placeholders for visual concepts.

Adapting Instructions for New Subjects

After copying a prompt, the real work begins: adaptation. The core philosophy of using the library is to treat the text as a set of guidelines rather than a fixed command. You should replace generic nouns with your specific subjects while maintaining the descriptive adjectives and stylistic modifiers. For instance, if an example describes a "vintage camera on a wooden table," you might change it to a "modern smartphone on a marble countertop" to fit your needs.

When modifying the text, focus on the intent of the instruction. If the original prompt emphasizes dramatic lighting, ensure your new version retains those lighting descriptors even if the object changes. However, users must be aware of a critical limitation: prompt instructions describe desired outcomes but do not guarantee identity, label, object, or typography preservation. If your goal is to create an image with specific text or a recognizable logo, the AI may interpret the request differently or omit the details entirely. Therefore, when adapting prompts, prioritize the mood, style, and composition over specific textual elements unless you are prepared to iterate multiple times.

Understanding Model Capabilities and Limitations

Different versions of the tool operate on distinct underlying models, which affects how they process your adapted prompts. Google documents Nano Banana 2 as Gemini 3.1 Flash Image (gemini-3.1-flash-image), while Nano Banana Pro utilizes Gemini 3 Pro Image (gemini-3-pro-image). There is also a Nano Banana 2 Lite version based on Gemini 3.1 Flash Lite Image (gemini-3.1-flash-lite-image).

It is vital to choose the right model for your workflow. Google describes Nano Banana 2 Lite as focused on speed and cost efficiency. Consequently, it is not optimized for multiple reference inputs or multi-turn sequential editing. Do not recommend or expect this specific version to handle complex workflows involving several iterations or heavy reference usage without acknowledging these limitations. Always verify which version you are using before attempting advanced edits, as the Lite version may produce different results compared to the standard or Pro variants.

A Usable Prompt Strategy

To illustrate how to apply these principles, consider the following example strategy. Start with a library prompt like: "A sleek glass bottle filled with glowing liquid, cinematic lighting, macro photography, 8k resolution." Adapt this by changing the object and color: "A matte ceramic mug filled with steaming coffee, soft morning light, close-up shot, detailed texture."

This approach maintains the technical quality descriptors (cinematic lighting, macro photography) while shifting the subject matter. Remember that this is an example of how to structure your thoughts; actual results will vary based on the model's interpretation. The goal is to guide the AI toward a similar aesthetic without assuming it will replicate the exact layout or specific branding elements of the original example.

How to Judge Results and Apply Fixes

Evaluating the output requires a critical eye. Compare the generated image against your modified prompt. Did the lighting match? Is the composition balanced? If the result lacks detail, try adding more descriptive adjectives regarding texture or atmosphere. If the object looks incorrect, re-evaluate whether the prompt was too vague or if the model struggled with the specific concept.

If the image contains unexpected text or distorted labels, recognize this as a known behavior where typography is not guaranteed. In such cases, the fix often involves simplifying the prompt to remove requests for specific text or focusing purely on the visual form. Iteration is key; small adjustments to wording can lead to significant improvements in the final output. By treating the prompt library as a dynamic resource rather than a static solution, you can harness the full potential of the tool.

For those ready to experiment with these techniques immediately, Try Nano Banana to access the generator and explore the library firsthand.

Prerequisites and Final Thoughts

Before diving into the library, ensure you have a clear idea of the visual style you wish to achieve. While the library offers inspiration, your success depends on how well you translate those ideas into text. Familiarize yourself with the differences between the available models to select the one best suited for your project's complexity. Whether you are creating simple graphics or complex scenes, the ability to adapt prompts effectively is the most valuable skill you can develop. By understanding the strengths and limitations of the system, you can consistently produce high-quality images that meet your creative goals.