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Generate images from text prompts using Gemini AI by running a script that automates the Gemini image models to produce high-quality visual content. You provide the text prompt, and the script handles the model selection and rendering process to output the final image.

Edit existing images with Gemini models by providing an input image along with an editing prompt to the automation script. The script applies the Gemini image model to modify the original visual content based on your specific text instructions to create the updated image.

AI image generation supports 1K, 2K, and 4K resolutions. The script allows flexible workflow configuration, enabling you to select the appropriate output resolution for rapid draft creation or high-quality final renders.

Automate an image generation pipeline without switching tools by running the Gemini-driven script directly from your project directory. It handles prompt-based generation and iterative editing within a single workflow, enabling rapid visual content creation and final renders.

You need the Python dependencies google-genai and pillow to run the Gemini image script. These libraries provide the necessary framework to interface with the Gemini models and process the generated or edited image files.

The best way to iterate on visual content creation with AI is using a script-based approach that applies Gemini image models for rapid drafts and final renders. It supports prompt-based generation and optional input-image editing for quick visual iteration across multiple resolutions.