Nanobanana Prompt Engineering Workflow

A user describes their workflow for creating high-quality Nanobanana prompts using a custom tool. The process involves defining the subject (e.g., polar bear and panda on skates), generating the initial image, performing detailed annotation (labeling parts like pose, background, face, clothing) based on file names, and finally adding compositional and color information for the final generation. This highlights the importance of detailed language specification for effective prompting.

Prompt

① Create a "Polar Bear" and a "Panda" wearing ice skates, and the background location. Normal chat-based input is also OK. Whether you generate it all at once or separately, the process is the same.

② Perform annotation on the image.
This is the most troublesome part, so I made it a tool.
Based on the file name, I create a prompt that organizes "which part of which image to reference."
(Pose / BG / Face / Clothing, etc.)

③ Add supplementary information such as composition and color scheme for the final generation.

How to use this prompt

Copy the prompt above and paste it into an AI image generator such as Google Gemini (Nano Banana) or a similar tool. Replace any bracketed placeholders with your own details, then generate and refine the result.

Prompt collection credit: YouMind Awesome Nano Banana Pro Prompts (CC BY 4.0). Credit to the original prompt creators. To request removal of a prompt or image, please contact us.