This is a simplified guide to an AI model called Nano-Banana maintained by Google. If you like these kinds of analysis, you should join AImodels.fyi or follow us on Twitter.
Model overview
nano-banana represents Google's latest image editing model integrated into Gemini 2.5, offering advanced capabilities for transforming and enhancing images through natural language prompts. This model builds on Google's extensive work in computer vision, following in the footsteps of their imagen-3 and imagen-4-ultra models. Unlike text-to-image generators like imagen-3-fast, this model focuses on editing existing images rather than creating new ones from scratch. The model accepts multiple input images and transforms them based on text instructions, making it distinct from faster generation models like sdxl-lightning-4step which prioritize speed over editing functionality.
Model inputs and outputs
The model operates through a straightforward interface that takes text prompts and image inputs to produce edited results. Users can submit multiple reference images along with descriptive text instructions to guide the transformation process. The system outputs processed images in common web formats, making integration into existing workflows seamless.
Inputs
- prompt: Text description specifying the desired image transformation or editing instructions
- image_input: Array of input images to transform or use as reference (supports multiple images)
- output_format: Choice between JPG or PNG format for the final output
Outputs
- Output: Single URI pointing to the edited image file
Capabilities
The model excels at understanding comp...
Top comments (0)