Google Gemini has learned to edit both AI-generated images and those uploaded from a smartphone or computer. In the coming weeks, the new functionality will be available to users in most countries where Gemini is available, with support for more than 45 languages.
Native image editing in the Gemini AI chatbot represents an evolutionary step in the development of user interaction with artificial intelligence. This feature follows Google’s earlier launch of its AI-powered image editing model, piloted in March via the AI Studio platform. That earlier version gained attention for its controversial ability to remove watermarks from any image.
Like the recently updated image editing tool in ChatGPT, Gemini’s built-in editor is designed to achieve high-quality results that go beyond what standalone AI image generators typically offer.
A Multi-Step Approach to Visual Content Creation
Gemini now offers an innovative “multi-step” editing process, which, according to the company, provides “richer and more contextual” responses by combining text and images. This editor enables users to change backgrounds, replace objects, add elements, and more — all within the Gemini interface. It streamlines the creation and editing of visual content by removing the need for separate specialized applications.
“For example, you can upload a personal photo and ask Gemini to generate an image of what you would look like with different hair colors. Or you can ask Gemini to create an early draft of a bedtime story about dragons and generate illustrations for the story,” Google explains in its blog post. These use cases show the tool’s versatility, supporting both practical and creative tasks.
Addressing Risks and Future Updates
As with any advanced visual AI tool, the technology raises concerns, particularly around the potential misuse in creating deepfakes, notes NIXSOLUTIONS. In response, Google is applying invisible watermark technology to all images created or edited using Gemini’s native image generator. Additionally, the company is exploring visible watermarks as part of its experimental research.
While some ethical questions remain open, the feature rollout represents a major step forward in integrated AI content creation. Yet we’ll keep you updated as more integrations become available.