Generating Consistent Imagery with Gemini

A practical guide demonstrates how to use the Gemini 2.5 Flash Image model to create a pipeline for generating consistent imagery. The process begins by taking an existing archive image of a felt robot and using a descriptive prompt to extract the character. Gemini's spatial understanding is then leveraged to generate a complete character sheet, including front and back views and adding new elements like a backpack. This method allows for the creation of new visual assets that maintain the character's features, style, and texture from the original source image. The tutorial provides Python code examples using the Google Gen AI SDK to perform these image generation and manipulation tasks.