nano-banana-2

Web search grounding for text-to-image generation ensures visuals are contextually accurate by using real-world factual context during the generation process. This grounds the output in current, verifiable information rather than relying solely on the model's training data.

To generate brand-aligned images for social media graphics, submit a text prompt to the grounded image generation model. The process applies configurable aspect ratios and post-processing to deliver a final JPG with a watermark.

Yes, you need Gemini API access to generate images with the Nano Banana 2 model. This access enables the default web search grounding feature and allows you to configure aspect ratios and image sizes.

Yes, you can configure aspect ratios and image sizes when generating standalone artwork. The model processes your text prompt to create visuals tailored to your specific dimensional requirements.

Yes, the image generation process includes post-processing to apply a SAS watermark. This step ensures the final delivered JPG is properly branded before use in presentations or infographics.

The best way to create contextually accurate visuals for presentations is using a text-to-image model with web search grounding. This approach ensures the generated graphics reflect real-world factual context and can be seamlessly integrated.