Nana Banana Image Editor

You describe the edit in ordinary sentences, and the tool interprets the intent rather than requiring exact technical terms. It handles complex, multi-part prompts the way a chat model handles instructions. That lowers the skill floor substantially compared to layer-based editors. Big difference if you're new to image editing.

This is the core selling point. When you edit the same subject across multiple images, Nana Banana holds onto facial features, clothing, and pose details so the person or character stays recognizable. No drift. The company markets this for AI influencers and UGC content, where a drifting face ruins a whole campaign.

Rather than cutting your subject out and dropping it into a new background, the editor merges the change with the original surroundings. Lighting and background stay intact, so the edit looks like it was always part of the photo. That matters for realism. It's aimed at people who've dealt with fake-looking composites.

You can upload up to 14 images in one job. The model reads across them, which helps when you want a result that borrows from several references instead of a single source. Useful for mood boards and guided styles.

The editor tries to get the result right on the first generation. Fewer rerolls means fewer credits burned and less waiting. When a pass does miss, the site suggests switching models for a different interpretation. Simple enough.

You set resolution, aspect ratio, and output format before generating, so you know exactly what dimensions and file type you're going to get back at the end of the run. There's also an option to enable web search, which gives the model extra context for prompts that depend on real-world details. Supported uploads cover JPEG, PNG, and WebP.