gemini-imagegen

To generate images from text prompts using the Gemini API, you provide a descriptive string and the API returns the corresponding generated image. This allows you to programmatically create visuals like futuristic cityscapes without manual design work.

You can edit existing images with the Gemini API to add elements, change styles, or modify attributes. This involves submitting the original image and specific edit instructions to achieve the desired modifications programmatically.

Yes, you need the Pillow library to handle images generated by the Gemini API. It is a required dependency for image processing tasks, ensuring you can properly save, load, and manipulate the image files returned by the API.

Multi-turn refinement for image composition is a process that allows you to iteratively adjust and combine multiple reference images. This technique helps achieve complex visual results by progressively updating the image based on sequential instructions.

Yes, the google-genai library supports creating logos from text. By using text-to-image generation capabilities, you can input descriptive text prompts to programmatically generate custom logo designs and save them as image files.

The best way to programmatically modify attributes in product photos is using an image editing API like Gemini. You can submit the existing product photo with specific instructions to add features or change styles, efficiently generating the modified image.