Popular Lesson
Change clothing colors on people in photos for fast visual variations
Remove objects or accessories from images without leaving visible traces
Add new accessories or items to a subject in a scene
Adjust variations using simple follow-up instructions for precise results
Create multiple product color options for catalogs or online stores
Manage single and multiple edits in an effective chat workflow
This lesson explores how to modify photos by changing clothing, swapping objects, or adding accessories using Google Nano Banana. The tool’s abilities make it easy for anyone to experiment with new looks or product designs, all from a single uploaded photo. There’s no need to reshoot or rely on complicated editing software—just describe your desired change, and Nano Banana updates the image while keeping everything else intact.
You might want to see the same shirt in various colors, remove unwanted items like hats, or try out new accessories—these are all common tasks in personal, business, and creative projects. If you sell products online, this feature is especially helpful for creating images of different colors or finishes without extra photography. Every change blends naturally, as lighting and shadows update automatically. This level of control is handy for portfolio updates, content creation, or quick visual experiments.
Learning this process early in the course helps build confidence with Nano Banana’s conversational editing. Whether you need to make a single change or create many variations quickly, the skills you gain here are widely useful in digital projects.
This lesson supports anyone looking to update or experiment with photo content without professional editing tools. It is relevant for:
Changing objects and outfits fits best just after your initial image selection and before finalizing visuals for sharing, publication, or marketing. If you want to test how something would look before committing to a re-shoot, or need to quickly remove, add, or swap an item, you’ll use these techniques at the design or preparation stage.
For example, an online retailer could photograph a single product, then use this method to create various color options for a catalog. Or, a personal user might update profile photos by swapping out clothing for a new color without rescheduling a shoot. This step streamlines editing and makes digital content much more flexible, supporting faster production and more creative freedom.
Traditional editing requires multiple photoshoots or complicated photo manipulation skills to change clothing colors, add accessories, or remove objects. With Nano Banana, you only need a single photo and a straightforward instruction. It keeps the person’s pose, lighting, and setting intact, offering quick and natural-looking updates.
In a business use case, this means you could prepare dozens of catalog images from a single product photo, maintaining consistency and saving both time and cost. For content creators, it allows rapid experimentation—try out different outfit colors, remove background distractions, or personalize images for multiple platforms within minutes. Edits are repeatable and easy to refine, so you can adjust colors, items, or accessories until you get the exact look you want. High-quality, updated visuals can now be produced in minutes rather than hours.
To practice, select a high-quality image of a person or product—ideally, the subject should be in clear focus and well-lit.
Reflect: How quickly did you get a usable variation compared to editing manually or reshooting? What did you notice about how natural the changes looked?
This lesson builds on your first experience with uploading and editing images in Nano Banana by adding practical, powerful ways to change, remove, or add items. Next, you’ll see more techniques for advanced visual editing and automation. Continue through the course to become confident at producing a series of professional, customized visuals in just a few steps. If you want to broaden your skills, explore all the lessons in this series for more creative options and time-saving methods.