generate-image-nb

You can generate images with Gemini by providing a text prompt to direct the visual creation, such as a modern blog header with a specific background. The skill uses the Gemini Nano Banana API to translate your text descriptions into generated visuals.

Yes, image editing is supported by accepting optional input images alongside your text prompt. This allows you to modify existing pictures and apply iterative refinements directly through the Gemini Nano Banana API workflow.

Yes, the image generation skill supports both Python and Node environments for development. It relies on Google GenAI dependencies to function properly within your preferred coding setup.

You can control aspect ratio and image size by using the configurable options exposed during image generation. These adjustable parameters allow you to tailor the output dimensions for specific use cases like thumbnails or infographics.

Google Search grounding in the Gemini pro model enhances image generation by anchoring prompts with real-time web search results. This optional feature helps produce more accurate and contextually relevant visuals.

You can create various visuals such as blog headers, thumbnails, logos, and infographics using text-to-image generation. The skill streamlines creating these visual assets by leveraging the Gemini Nano Banana models.