gemini-image-simple

You can generate images with the Gemini API using pure Python stdlib by sending HTTP requests via urllib.request, eliminating the need for external dependencies like pip packages. This skill handles base64 image payloads and model selection directly.

Yes, you can edit existing images with Gemini without additional Python packages by passing base64 image payloads through urllib.request. The skill supports optional input images for AI-driven editing alongside text prompts.

No, you do not need pip or external dependencies because this skill relies entirely on Python's standard library. It uses urllib.request for HTTP requests, enabling zero-install execution in environments where package management is restricted.

Configure the API key and base URL for Gemini image generation using environment variables ZXM_GEMINI_API_KEY and ZXM_GEMINI_API_BASE_URL. This environment-based setup allows secure configuration without hardcoding credentials in scripts.

The best way to run prompt-based image generation is executing the generator script with your prompt and output path, such as: python generate.py 'A cat wearing a hat' cat.png. This directly triggers the Gemini API to save the visual output.

When using Python stdlib for Gemini API image generation, limitations include manual handling of base64 encoding and robust error handling without third-party libraries. Network errors and API rate limits must be managed within urllib.request constraints.