image-generation

You can generate and edit raster images by interfacing with multiple AI image provider APIs including OpenAI, Nano Banana, and Seedream. This provides a unified, scriptable interface for creating visual assets directly within your workflow.

Masked edits and image-to-image composition are supported workflows. The process requires local file access to manage input references for composition and local storage for saving the generated output image assets.

Configured API keys are required for text-to-image generation. The skill automatically handles API key management using python-dotenv to interface with provider APIs like OpenAI, Nano Banana, and Seedream.

The best way to manage file saving and URL resolution is through this skill's workflow integration. It automatically handles URL resolution and saves generated visual assets to local file storage after API generation.

This image generation skill works with OpenAI GPT Image models. It supports multi-provider API integration, allowing you to seamlessly switch between OpenAI, Nano Banana, and Seedream APIs for visual asset creation.

The main limitation of scriptable AI art creation is the dependency on external provider APIs and configured keys. Users must manage local file access for input references and output storage, limiting fully offline or browserless execution.