Google's fast image generation and editing model with fal.ai web search grounding, reference images, and resolution controls.
Model Overview
Nano Banana 2 generates and edits images from natural language prompts. It can use optional reference images and web search grounding when the prompt needs current information.
Best At
- Prompt-driven image generation and image editing.
- Using reference images for product, character, or style guidance.
- Producing context-aware images when web search grounding is enabled.
- Fast visual iteration with explicit aspect ratio, resolution, and output format controls.
Limitations / Not Good At
- Web search adds cost and should be used only when current information is needed.
- Highly constrained layouts, exact typography, and brand-perfect edits may need iteration.
- Reference image quality and prompt specificity strongly affect edit quality.
Ideal Use Cases
- Current-event visuals, editorial images, and topical creative assets.
- Product or character variations from one or more reference images.
- Social, marketing, and concept imagery that needs fast iteration.
- Image edits described in natural language.
Input & Output Format
- Input: Required prompt text, optional image references, aspect ratio, resolution, output format, safety tolerance, web search, and seed.
- Output: Generated or edited image assets returned on
response.
Performance Notes
- 1K is the default resolution. 2K and 4K increase cost. Web search adds a separate surcharge.