Fix Ghosting on Transparent Text in Nano Banana 2
Users working with Nano Banana 2 often encounter a specific visual defect when generating images containing semi-transparent text overlays. The symptom manifests as faint, double-image shadows or halo-like artifacts surrounding the letterforms. Instead of crisp edges where the text meets the background, users see a blurred duplication of the characters, creating a "ghosting" effect. This issue significantly degrades the professionalism of layered designs, making typography appear unstable or incorrectly rendered. It is particularly noticeable when the text is intended to float over complex backgrounds or when high contrast is required for readability.
This artifact is not a physical flaw but a rendering error within the image generation process. It typically occurs when the AI model struggles to distinguish between the foreground text layer and the underlying background pixels during the diffusion process. The result is a bleed of background colors into the text shape or a misinterpretation of the transparency mask, leading to the visible shadowing described above.
Separating Plausible Causes from Known Facts
When troubleshooting this issue, it is crucial to separate user-perceived causes from verified technical facts provided by the system documentation. A common assumption is that the ghosting is caused by insufficient prompt clarity regarding font style or color. While vague prompts can lead to illegible text, they do not inherently cause the specific mechanical failure of double-image shadows associated with transparency.
Another plausible theory suggests that the issue stems from the specific version of the model being used. However, known facts indicate that Google documents Nano Banana 2 as Gemini 3.1 Flash Image (gemini-3.1-flash-image). This model supports text-to-image and image-to-image workflows. The documentation does not explicitly state that this specific model has a bug regarding transparency masks; rather, it notes that prompt instructions describe desired outcomes without guaranteeing identity, label, object, or typography preservation.
It is also important to clarify what is not the cause. The presence of ghosting is not necessarily an indication that the user is using Nano Banana 2 Lite. Google describes Nano Banana 2 Lite as focused on speed and cost, noting it is not optimized for multiple reference inputs or multi-turn sequential editing. While Lite is less capable for complex editing tasks, the ghosting artifact on static transparent text is a rendering challenge that can occur across different configurations if the prompt does not explicitly define the blending behavior.
Furthermore, the website hosts pages for Nano Banana Pro and Nano Banana Lite, but these page names alone do not establish identical feature support or availability for all Google model capabilities. Users must rely on the specific model documentation rather than assuming feature parity based on product naming conventions.
Diagnosing and Fixing the Issue
To diagnose the root of the ghosting, examine the prompt structure. Since prompt instructions do not guarantee typography preservation, the AI may be interpreting the request for "transparent text" as a visual instruction to blend the text into the scene rather than placing it as a distinct overlay. The diagnosis often reveals that the prompt lacks specific directives on how the text should interact with the background layers.
The primary fix involves refining the prompt to explicitly describe the blending mode and edge quality. Instead of simply asking for "text on a background," users should instruct the model to render the text with sharp edges and no blending artifacts. For example, phrasing the request to ensure the text sits "on top" of the background with "crisp, non-blurred edges" can help the model prioritize the integrity of the text layer. Additionally, specifying the exact color and opacity values in the prompt can reduce ambiguity.
If the issue persists after prompt refinement, consider the workflow. If you are attempting to edit an existing image with text overlays, ensure you are using the appropriate model for the task. Nano Banana 2 Lite is not optimized for multi-turn sequential editing, so attempting to refine text layers through multiple iterations might introduce more artifacts rather than fixing them. In such cases, switching to the standard Nano Banana 2 workflow or Nano Banana Pro might yield better results, as these models are designed for more robust handling of complex image compositions.
For users looking to experiment with different approaches, the prompt library offers example prompts that can be copied or adapted. These examples serve as starting points but should be treated as untested suggestions until applied to your specific design context. You can explore these resources to find phrasing that aligns with your needs.
Verifying the Solution
Once the prompt has been adjusted to emphasize sharp edges and clear layer separation, verify the output by inspecting the generated image at full resolution. Look specifically at the boundaries between the text and the background. The ghosting artifacts should be absent, replaced by clean transitions. If the text remains blurry or shows halos, the prompt may still be too ambiguous regarding the transparency requirements.
It is important to remember that while these adjustments target the most common causes of rendering errors, the system does not guarantee perfect identity or typography preservation in every instance. The goal is to minimize artifacts through precise language. If the ghosting persists despite optimal prompting and correct model selection, the issue may lie in the inherent limitations of the current generation parameters for that specific style of overlay. In such scenarios, simplifying the background complexity behind the text can sometimes force a cleaner render, as fewer competing visual elements allow the model to focus on the text definition.
By understanding the distinction between prompt intent and model capability, and by carefully crafting instructions that define the visual relationship between text and background, users can effectively resolve ghosting artifacts and achieve professional-grade results in their Nano Banana 2 projects.