gemini-imagegen

You can edit existing images using Gemini by providing natural language instructions for iterative refinements. The skill handles image editing by processing your commands through the Gemini API, allowing multi-turn refinement to converge on the desired visual design.

Yes, you can compose multiple reference images into a single output with Gemini. The skill supports image composition by combining multiple visual references through the Gemini API to create complex, unified designs based on your inputs.

Before using Gemini for image generation and editing, you need a valid GEMINI_API_KEY and the google-genai client installed. You also need the Pillow library for image I/O to handle saving and loading visual files during your workflow.

Gemini image generation supports interactive multi-turn chat for design workflows. This allows you to iteratively refine prompts and edit images through conversational commands, converging on the desired design output through successive chat interactions.

When using natural language prompts for image editing with Gemini, limitations depend on the Gemini API Pro model's interpretation accuracy. Complex compositions may require multiple iterative refinement cycles to achieve precise visual results through the text-to-image workflow.