gemini-imagegen

To generate images from text using Gemini, you use the google-genai dependency to send textual descriptions to Google's native image generation models, requiring a valid GEMINI_API_KEY to authenticate the API requests and return custom illustrations.

Yes, you can edit existing photos with Gemini image generation models by providing a reference image alongside a text prompt, allowing the AI to modify the existing visual content programmatically based on your instructions.

Yes, you need a GEMINI_API_KEY to use Gemini for AI art generation, as this Skill relies on the google-genai dependency to authenticate requests to Google's native image generation models for text-to-image and editing tasks.

The best way to maintain character consistency across multiple AI illustrations is using Gemini's multi-image composition and reference image editing features, which preserve visual identity across generated outputs for series like presentation slides.

Yes, Gemini image generation supports multi-image composition, allowing you to combine multiple images programmatically through the Google API to create unified visual outputs from several distinct reference images.