Can Nano Banana 2 search the web?
Yes. After you enable Prompt Enhancement, NB2 supports two kinds of search enhancement: text search for live information such as weather, scores, and trending topics, plus NB2-exclusive image search. The model can reference real Google images during generation. For example, when drawing a rare animal, it can search real images first so the details stay more accurate.
Can it keep the same character consistent across images? Can it make multi-panel comics?
Yes, and this is one of its strongest use cases. You can use up to 14 reference images at once. If you specify that the face shape, hairstyle, and clothing stay the same and only change the scene, pose, or camera, it is much more stable than relying on text alone. You can also build multi-panel comics and storyboards around the same character.
Is it good for product visuals and local edits?
Yes. Upload a product image, keep the shape, logo, and colors unchanged, and only swap the background, surface, lighting, or props. It works well for commercial-looking product visuals. Local follow-up edits are usually more stable than redrawing the whole image from scratch.
Can I generate a few directions first and then keep refining one?
Yes. Quickly generate 3 to 5 composition or style directions first, then pick one and keep refining the headline, materials, or lighting. This works especially well for posters, covers, and event visuals.
What resolutions, reference image limits, and aspect ratios are supported?
You can choose from four resolution tiers: 0.5K is the fastest and 4K is the sharpest. You can upload up to 14 reference images at the same time. There are 14 aspect ratios, from 1:1 squares to ultra-tall 1:8 posters.
How fast is Nano Banana 2?
Nano Banana 2 is built on Gemini 3.1 Flash Image. It is the faster edition of Nano Banana Pro, optimized for faster generation and lower cost, which makes it a strong fit for daily iterative editing and quickly exploring multiple directions.
Can it generate images with text in them?
Yes. Text rendering is quite accurate. Poster headlines, annotations, menu text, and data labels can be generated directly inside the image, which makes it great for infographics, posters, and cards with integrated text.
Do generated images contain watermarks?
Images generated by Google include a SynthID digital watermark. It is an invisible marker embedded at the pixel level and does not affect the visual result. If you need to remove other types of visible watermarks, you can use Pilio's image watermark remover.
What is the pricing for Nano Banana 2 (NB2)?
After you sign up, you get a free quota that lets you try Nano Banana 2's generation and editing features right away. For detailed pricing and plans, check the account page.
What is the relationship between Nano Banana 2 and Google's original model?
Nano Banana 2 is built on Google Gemini 3.1 Flash Image (`gemini-3.1-flash-image-preview`). On top of that, Pilio adds productized features such as multi-image reference, continuous editing, Google Search enhancement, and prompt optimization, so you can use it directly in the browser without configuring any API.
How should I choose between Nano Banana 2 and Nano Banana Pro?
NB2 is built on Gemini 3.1 Flash Image and serves as the more efficient edition of Pro. It generates faster, costs less, and uniquely offers image search enhancement plus adjustable thinking depth, which makes it ideal for everyday iterative editing and quickly exploring multiple directions. Pro is built on Gemini 3 Pro Image, with stronger complex instruction following and higher-fidelity text rendering, making it better for final-stage professional assets. Choose NB2 for daily creation and Pro when you want the absolute best single-image quality.
Can I adjust the thinking mode?
Yes. NB2 uses minimal thinking depth by default for the fastest generation speed. For more complex compositions, you can switch to high mode for finer reasoning and better image quality. In both modes the AI thinks before it renders, but high spends more time working through composition details.
Can it translate text inside an image?
Yes. Upload an image containing foreign-language text and tell the model to translate it into the target language. It keeps the original layout and design style while replacing the text content. That makes it useful for posters, menus, manuals, and social media graphics.