Loading...
Nano Banana 2 Lite is one of Google's Nano Banana image models. It is suited to turning text prompts into 1K images and can use up to 10 reference images to guide visual direction. Use it to explore ad variations, product scenes, app prototypes, thumbnails, and storyboard sketches; actual generation time varies with the queue, prompt, and service status.
Key Features of the Nano Banana 2 Lite Image Model
This page uses five public examples to illustrate common creative directions: rapid iteration, 1K output, real-world scenes, in-image text, and reference-image guidance. Results depend on the prompt and reference materials, so validate them with small batches first.
When a marketing campaign needs multiple image variations, start with short prompts to test composition, subject, and visual direction, then keep effective prompts to expand further. The model does not promise a fixed generation time; actual duration depends on the queue, prompt, and service status.

The project's Nano Banana 2 Lite configuration provides 1K output and supports 15 ratios, including auto, square, landscape, portrait, ultrawide, and extreme formats. It is suitable for websites, social media, advertising, app prototypes, and thumbnails; choose another appropriate model when a higher-resolution final asset is needed.

Details such as locations, architectural styles, cultural context, and relationships between objects can all be included in a prompt to help the model establish a clearer visual target. For travel imagery, historical scenes, cultural themes, and concept sketches, start by testing specific descriptions of the location, lighting, and composition; creators should still verify the results.

State the target text for a billboard, poster, or package directly in the prompt, then create creative versions in different languages. Text, numbers, and complex layouts in generated images may still vary; proofread every character before a formal launch and, when necessary, refine the typesetting in a design tool.

Upload up to 10 JPEG, PNG, or WebP reference images to provide visual constraints for a subject, product, clothing, or composition. Identity, details, and composition are not guaranteed to remain fully consistent across multiple generations; for sequential content, keep using clear reference images and manually select the results from each round.

It is suited to teams that use 1K images to explore directions, validate prompts, and create multiple asset variations.
Create multiple creative directions for ads, banners, and landing pages, then select and refine them according to conversion goals.
Create placeholder visuals that match the page context for app prototypes, website mockups, and product demonstrations.
Create assets in different aspect ratios for article hero images, video thumbnails, and social-media posts.
Use product reference images to explore backgrounds, lifestyle scenes, and different ad compositions, then verify product details before publishing.
Explore narrative sequences, character scenes, sketches, and different camera directions during pre-production.
Choose the model, describe the image, and add reference images when needed to submit a 1K image-generation task.
Go to the Nano Banana model page and select Nano Banana 2 Lite from the family model selector.
Describe the scene, subject, lighting, and any text requirements. You can upload up to 10 JPEG, PNG, or WebP images as visual references and choose a suitable aspect ratio.
After you click Generate, review the result and download the 1K image. Generation time varies with the service queue and task content.
Learn about the project's available parameters, billing, in-image text, and the limits of reference-image use.
Nano Banana 2 Lite is a Google image model currently integrated into this project through KIE. It supports generating 1K images from text and using up to 10 reference images to guide the result; each generation in the interface uses 4 credits.
Choose it when you want to explore advertising directions, product scenes, prototypes, or social content and 1K output meets the delivery need. When you need higher resolution, absolute consistency, or complex layouts, test small batches first or choose a more suitable model.
AnyAIHub uses a credit-based system, and each generation in the interface currently uses 4 credits. Refer to the latest price displayed in the generation interface and the credits available in your account.
You can specify in-image text for billboards, posters, marketing copy, and more in the prompt. Complex layouts, numbers, and multilingual content may still vary, so proofread every character before formal use.
You can upload up to 10 JPEG, PNG, or WebP reference images, each up to 30 MB, and combine them with a text prompt to guide a subject, product, scene, or composition. Reference images provide guidance; they do not mean the result will reproduce the original pixel by pixel.
It supports auto, 1:1, 1:4, 1:8, 2:3, 3:2, 3:4, 4:1, 4:3, 4:5, 5:4, 8:1, 9:16, 16:9, and 21:9.
Use 1K text-to-image and reference-image creation to explore ad variations, product visuals, prototypes, and social content. Visual materials are sourced from public Pollo AI examples and used only to illustrate capability directions.