Nano Banana 2 Image-to-Image Inpainting for Text Replacement Workflow

Nano Banana Editorialon a day ago

Replacing text within an existing image can be a tricky task, often resulting in distorted backgrounds or mismatched fonts. However, by leveraging the image-to-image inpainting capabilities of Nano Banana 2, you can achieve clean results that blend seamlessly with the original composition. This workflow focuses on minimizing artifacts around newly generated text areas, ensuring your edits look professional and intentional.

Before beginning, it is important to clarify that Nano Banana refers to the AI image generation and editing tool described here. It is not a skincare brand, bottle, jar, or physical subject. The examples provided are generic and unbranded to demonstrate the technical process without implying endorsement of any specific commercial product.

Preparing Your Inputs and Selecting the Right Model

The success of a text replacement workflow begins with selecting the correct model and preparing your source materials. Nano Banana 2 supports distinct Google image models, including Gemini 3.1 Flash Image (Nano Banana 2), Gemini 3 Pro Image (Nano Banana Pro), and Gemini 3.1 Flash Lite Image (Nano Banana 2 Lite). For this specific task involving precise text replacement and potential multi-turn editing, Nano Banana 2 or Nano Banana Pro are generally preferred over Nano Banana 2 Lite.

Google documents Nano Banana 2 Lite as focused on speed and cost. It is not optimized for multiple reference inputs or multi-turn sequential editing. Therefore, recommending Nano Banana 2 Lite for complex text replacement workflows without explaining these limitations would be inaccurate. If you require high fidelity and the ability to refine the edit through several iterations, stick to the standard Nano Banana 2 or Pro versions.

Your primary input will be the original image containing the text you wish to replace. You must also prepare a mask or selection area that isolates the text region. While the interface allows for various inputs, ensure the selected area covers only the text and a small margin of the surrounding background to give the AI context for blending. Avoid selecting large portions of the image unless necessary, as this increases the risk of unintended changes to the rest of the scene.

Crafting the Prompt and Executing the Inpainting

Once your image and mask are ready, the next critical step is writing the prompt. Prompt instructions describe desired outcomes; they do not guarantee identity, label, object, or typography preservation. This means you cannot assume the AI will perfectly replicate a specific font style or logo design unless explicitly detailed in your prompt.

For this workflow, your prompt should clearly state the new text content and describe the visual style required. An example prompt might read: "Replace the text 'SALE' with 'NEW ARRIVAL' in a bold sans-serif font matching the surrounding typography." Note that this is an example of how to structure your request and does not guarantee the exact output.

To execute the inpainting, upload your image to the generator at Try Nano Banana. Apply your mask to the text area and enter your refined prompt. The system will then generate a new version of the masked region. During this process, pay attention to the lighting and texture of the generated text. If the result looks flat or disconnected from the background, you may need to adjust the prompt to include more details about the surface texture or lighting conditions of the original image.

If the first attempt contains artifacts, such as smudged edges or incorrect letter spacing, do not discard the result immediately. Instead, use the multi-turn capability to refine the edit. You can upload the previous result as a new reference image, re-mask the problematic area, and provide a follow-up prompt like "Fix the jagged edges of the word 'NEW' and match the shadow depth." This iterative approach is where Nano Banana 2 shines compared to single-pass generators.

Checkpoints and Exporting Your Final Image

Throughout the process, you should perform specific checkpoints to ensure quality. First, verify that the new text is legible and correctly spelled. Second, check the boundaries between the edited text and the original background for any visible seams or color mismatches. Third, ensure that the overall composition remains balanced and that no other parts of the image were unintentionally altered.

If you encounter issues where the text appears too sharp or too blurry compared to the rest of the image, try adjusting the prompt to specify the level of detail or the medium (e.g., "print," "digital screen," "handwritten note"). Remember that prompt instructions are guidelines, not guarantees. If the result still falls short, consider breaking the task into smaller steps, perhaps generating the text separately and compositing it if the direct inpainting proves too difficult.

Once you are satisfied with the final result, proceed to the export steps. Download the image in your preferred format, typically PNG or JPEG, depending on your needs for transparency or file size. Ensure the resolution matches your intended use case, whether for web display or print media. By following this structured workflow, you can effectively use Nano Banana 2 to replace text elements while maintaining the integrity and aesthetic of your original image.

For more information on the underlying technology and model specifications, refer to the official documentation at https://ai.google.dev/gemini-api/docs/image-generation.