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To generate AI images with Gemini 3 Pro, you use a prompt-driven workflow that creates mockups and marketing assets. You need to set up a local environment, provide a Gemini API key, and run the generator to produce visuals from your text prompts.

Yes, you can use reference images to maintain a cohesive aesthetic across AI-generated visuals. The system includes a style library and supports reference image inputs, allowing you to enforce brand consistency across multiple generated assets.

The best way to explore multiple visual concepts is by using grid generation and variants workflows. This approach allows you to rapidly iterate through different design options within a session-based pipeline to track and refine your outputs.

Yes, a local environment setup is required to run this Gemini 3 Pro image generation pipeline. You must configure a .env file with your Gemini API key, install Python dependencies via pip, and execute the generator script locally.

Session-based output management tracks your progress and refines designs across multiple iterations. By managing prompts and outputs within specific sessions, you can systematically review and adjust generated visuals until they meet your project requirements.

A structured prompt pipeline ensures repeatable, brand-consistent results for mockups and illustrations. It prevents unstructured outputs by managing prompts, style libraries, and reference images systematically, saving time and maintaining visual cohesion.