Google Debuts ‘Nano Banana’ AI Image Editor in Gemini App, Elevates Precision Photo Editing
Google launches Nano Banana (Gemini 2.5 Flash Image) in its Gemini app—allowing seamless image edits with consistent likenesses, multi-image fusion, and natural prompt control.
Google quietly released a big update to its Gemini app that adds a powerful AI model for editing photos that they call Nano Banana. This DeepMind-powered update, which used to be called Gemini 2.5 Flash Image, is now available to both free and paid users right away. It makes editing photos more realistic and gives you more control.
Better editing: where consistency meets creativity
Nano Banana fills in a long-standing hole in AI picture editors by making sure that people, pets, and objects look the same after multiple edits. Whether you're trying out retro hairstyles, outfit changes, or going on a silly adventure with your pet, the model makes sure that your unique features stay the same. Early reviews from users have called it the best picture editor in the world.
Smart features for creating things on the fly
The tool lets you change in a variety of ways:
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Multi-turn Edits: Paint walls, add furniture, and then style the whole thing to perfection while keeping the rest of the picture the same.
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Design mixing: It's easy to add textures or patterns from one image (like butterfly wings) to another item (like rain boots).
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Image Fusion: Combine photos into scenes that make sense together. For example, you could put yourself and your pet in the same picture or make creative collages.
Available on All Platforms
Nano Banana is built into the Gemini app, which can be used on both phones and the web. Developers can also use the Gemini API, Google AI Studio, or Vertex AI to add it to their workflows. This makes it useful for both casual users and creative pros.
Built-in safety: Use of AI That Is Clear
Every Nano Banana-generated or edited picture has both a visible watermark and Google's SynthID digital watermark. This makes sure that the images are real and lowers the risk of deepfake misuse.