Nano Banana Workflow: Swapping Generic Props for Handmade Tools

Defining the Scene and Input Requirements

The goal of this specific workflow is to transform a generic image containing standard plastic tools into a scene featuring unique, handmade wooden carving implements. This process relies on the inpainting capabilities within Nano Banana 2, which supports text-to-image and image-to-image workflows. To begin, you must prepare your input assets carefully. The primary input is an existing image where the main subject, such as a clay pot or container, remains untouched. The secondary input is a detailed textual description that defines the new objects you wish to introduce.

When preparing your prompt, it is crucial to distinguish between the tool being generated and the surrounding environment. The prompt instructions describe desired outcomes but do not guarantee identity, label, object, or typography preservation. Therefore, your input should explicitly state that the focus is on the texture and form of the new tools while maintaining the original lighting and composition of the pot. You might start by uploading an image showing a workspace with generic tools and then instructing the model to replace only those specific items. Remember that Nano Banana refers to the AI image generation and editing tool; it is not a skincare brand, bottle, jar, or physical subject. This distinction ensures that the generated output focuses on the digital manipulation of the scene rather than any real-world product branding.

Constructing the Inpainting Prompt Strategy

Creating an effective prompt is the core of swapping props successfully. For this workflow, you need a prompt that clearly delineates the area to be changed and the nature of the replacement. An example prompt structure would be: "Replace the generic plastic trowel and spatula in the foreground with rustic, hand-carved wooden tools. The wood should show grain and texture, fitting a traditional crafting aesthetic. Keep the central clay pot exactly as it is, with no changes to its shape or color."

It is important to note that these are examples of how to phrase requests; they do not guarantee specific visual results. The model will interpret the request based on its training data, which includes various styles of woodworking. If you are using Nano Banana 2 Lite, be aware that it is focused on speed and cost and is not optimized for multiple reference inputs or multi-turn sequential editing. Consequently, for complex prop swaps requiring high precision, Nano Banana 2 or Nano Banana Pro (identified as Gemini 3.1 Flash Image and Gemini 3 Pro Image respectively) may offer better control over the details. Google documents these models as distinct entities with different capabilities, so selecting the right version matters for achieving the handmade look without artifacts.

Execution Checkpoints and Refinement Steps

Once the prompt is entered and the generation begins, you must monitor the output against specific checkpoints to ensure the swap was successful. First, verify that the main pot remains unaltered. Any distortion in the primary subject indicates the mask or prompt was too broad. Second, examine the newly introduced wooden tools for consistency. Do they blend naturally with the lighting of the scene? Are the shadows cast by the new tools consistent with the existing light source? Third, check for any residual traces of the original plastic tools. If parts of the old props remain visible, you may need to refine the selection area and re-run the inpainting process.

If the initial result is unsatisfactory, you can iterate by adjusting the prompt's specificity. Instead of just saying "wooden tools," try adding descriptors like "weathered oak" or "smooth birch" to guide the texture. However, avoid assuming the tool will perfectly replicate a specific real-world item unless the prompt is extremely detailed, as the AI generates interpretations rather than exact copies. Throughout this process, keep in mind that the website supports these workflows via the Nano Banana 2 product page at /nanobanana2. Try Nano Banana to access the interface where you can upload your base image and apply these prompts directly.

Finalizing and Exporting Your Custom Scene

After achieving a satisfactory result where the generic props have been seamlessly replaced by the handmade wooden implements, the final step involves exporting the image for your intended use. Since the workflow is designed to integrate new tools without altering the main pot, the final image should present a cohesive scene ready for presentation or further editing. Ensure that the resolution meets your requirements before saving. If you encounter issues with the quality of the wood texture, consider switching from Nano Banana 2 Lite to a higher-tier model if available, as the Lite version prioritizes speed over the nuanced detail required for realistic material simulation.

This workflow demonstrates how to leverage AI image editing to customize scenes efficiently. By focusing on precise inpainting and clear descriptive prompts, you can transform generic stock imagery into unique compositions featuring artisanal elements. Always remember that while the tool offers powerful capabilities, the outcome depends on the clarity of your input and the iterative refinement of your prompts. With practice, you can master the art of swapping props to create visually rich and authentic-looking scenes.