Popular Lesson
Maintain a character’s core features when generating new images or scenes
Upload a reference image and instruct Nano Banana to retain identity across changes
Direct the tool to place the same character in new settings or poses
Test character consistency from different angles and viewpoints
Adjust emotions or facial expressions without losing uniqueness
Refine output using prompts for clothing, size, or other details
Keeping a character visually consistent when making multiple related images is a valuable skill for creators working on comics, storyboards, branded content, and more. Consistency ensures that viewers instantly recognize a recurring person or mascot, even as their surroundings, poses, or moods change from scene to scene. This lesson shows you how to achieve this with Google Nano Banana by starting from a base or reference image and guiding the tool to preserve the core identity of the character, even as you change background, position, or expression.
You’ll see how dragging and dropping your chosen image into the chat becomes the anchor for all subsequent edits. This feature is especially useful for projects needing unified storytelling, such as visual narratives, educational materials, or campaign assets featuring a single figure. By testing consistency—for example, by shifting camera angles or asking for different emotions—users can build a versatile image library. The lesson is designed for anyone who wants to tell stories visually or ensure their branded characters feel recognizable wherever they appear.
This lesson helps a range of users who want stability in character visuals across projects.
Maintaining character consistency is key whenever you’re producing multi-image projects with recurring subjects. Start by creating or choosing a base image, then apply this lesson’s workflow as you generate alternate scenes, poses, or moods with the same character. For example, a comic artist can design every panel with the hero retaining the same look, or a brand can produce varied campaign assets—all starring the company mascot in contextually different settings. This method is most effective during the content planning or concept art phase and allows for rapid iteration and fine-tuning without the need to redraw or manually edit each version.
Traditionally, achieving character consistency across scenes meant redrawing from scratch or laboriously copying details between images—a process that was slow, error-prone, and often led to slight mismatches in appearance. With Nano Banana’s image-guided workflow, you can now upload a reference portrait and use clear prompts to propagate that identity into new scenarios, saving considerable time and effort. The tool maintains recognizable facial features and core attributes even as it adjusts background, posture, or expression, which means you can quickly produce series of images that look and feel cohesive. This is especially useful for visual storytellers, marketers, and designers who need quality and speed—leading to faster creative cycles and more reliable results.
Use a photo or drawing of a character you want to feature in multiple scenes.
Reflect: How well did the character’s appearance stay consistent? What prompt adjustments were most effective in refining details? Compare your images—do they convincingly look like the same person?
This lesson is part of the broader “Google Nano Banana: Create & Edit Stunning Visuals in Minutes” course, building on earlier skills around basic edits and environment changes. Previously, you practiced altering settings and adding variety to visuals. Now, you’re ensuring that your characters remain instantly recognizable scene to scene. Up next, you’ll learn techniques for batch creation and managing multiple characters, so continue with the course to expand your creative toolkit and produce polished, story-driven visuals.