Fixing Distorted Text on Curved Digital Signage Mockups in Nano Banana

When creating digital signage mockups, particularly those designed to simulate curved screens or wrap-around displays, users often encounter a specific visual artifact where text appears warped, illegible, or geometrically incorrect. Instead of crisp, readable lettering that follows the intended perspective, the characters may stretch unnaturally, blur into abstract shapes, or fail to align with the simulated curve of the display surface. This issue is most prevalent when the AI attempts to render complex typography on non-planar surfaces.

This symptom is not a reflection of the physical hardware but rather an output limitation of the image generation process. The AI interprets the request for a "curved screen" by altering the pixel arrangement of the entire scene, which frequently includes the text elements. While the overall shape of the sign might look convincing, the internal details, specifically the letters, often suffer from loss of structural integrity. This results in a mockup that looks visually interesting but fails its primary purpose: communicating a clear message.

Separating Plausible Causes from Known Facts

It is crucial to distinguish between what is happening technically and what users might assume is occurring. A common misconception is that the tool cannot handle curved surfaces at all. However, the reality is more nuanced regarding how prompt instructions interact with the model's rendering engine.

Known Facts:

• Prompt instructions describe desired outcomes but do not guarantee identity, label, object, or typography preservation. The AI prioritizes the overall aesthetic composition over strict character accuracy unless explicitly guided otherwise.
• Nano Banana refers to the AI image generation/editing tool. It is not a skincare brand, bottle, jar, or physical subject. Any confusion regarding physical products should be disregarded.
• Google documents Nano Banana 2 as Gemini 3.1 Flash Image, Nano Banana Pro as Gemini 3 Pro Image, and Nano Banana 2 Lite as Gemini 3.1 Flash Lite Image. These are distinct models with different capabilities.
• Nano Banana 2 Lite is focused on speed and cost. It is not optimized for multiple reference inputs or multi-turn sequential editing. Using this specific version for complex text-on-curve tasks without understanding its limitations may exacerbate distortion issues.

Plausible but Unverified Assumptions:

• Some users assume that simply adding the word "readable" to the prompt will force the AI to maintain perfect geometry. While helpful, this does not override the fundamental behavior of the model regarding typography on complex planes.
• There is no evidence that the distortion is caused by a bug in the underlying code or a lack of download functionality. The issue stems from the generative nature of the workflow.

Diagnosing the Root Cause

The diagnosis for distorted text usually points to a conflict between the geometric complexity of the request and the model's default handling of typography. When a user requests a "curved digital signage mockup," the model allocates significant processing power to simulating the perspective distortion of the screen itself. In doing so, it treats the text as part of the background texture rather than a distinct foreground element requiring precise alignment.

Furthermore, the choice of model plays a role. If a user selects Nano Banana 2 Lite for a task requiring high-fidelity text retention on a complex surface, the result is likely to be poor. Since this version is optimized for speed and cost rather than multi-turn editing or complex reference adherence, it lacks the nuance required to keep text sharp while warping the surrounding environment.

To diagnose the issue, review the prompt structure. Does it emphasize the curve over the content? Are there conflicting instructions about the font style versus the screen shape? Often, the prompt asks for too much simultaneous transformation without specifying that the text must remain legible despite the curvature.

Fixing Distortion Through Refined Prompts

The most effective solution lies in refining the prompt instructions to explicitly prioritize text legibility alongside the visual effect. Since prompt instructions do not guarantee typography preservation, you must be more descriptive about the desired outcome.

Instead of a generic request like "curved digital sign with text," try a structured approach that separates the environmental context from the textual content. For example, specify the font weight, the color contrast, and the specific requirement for the text to follow the curve without losing clarity. You might instruct the AI to "render bold, high-contrast white text that adheres smoothly to the convex curve of the screen, ensuring individual characters remain distinct and unblurred."

If the initial result still shows distortion, consider the model selection. Switching from Nano Banana 2 Lite to Nano Banana 2 (Gemini 3.1 Flash Image) or Nano Banana Pro (Gemini 3 Pro Image) may yield better results, as these versions are generally more capable of handling complex spatial relationships and detailed text rendering. Avoid using Nano Banana 2 Lite for this specific workflow unless you accept the trade-off in quality for speed.

Remember that these are examples of prompt strategies. The AI generates images based on probability, so slight variations in wording can lead to different outcomes. Iteration is key. Try Nano Banana to experiment with these refined instructions and observe how the model responds to explicit constraints on text geometry.

Verifying the Solution

Once you have generated a new image, verify the fix by inspecting the text closely. Zoom in to check if the characters are recognizable and if they follow the intended curve without stretching or merging. Legibility is the ultimate metric; if a viewer cannot read the message within a second, the mockup has failed, regardless of how realistic the screen curve looks.

Compare the new output against previous attempts. Did the text retain its shape? Is the contrast sufficient to stand out against the background? If the distortion persists, revisit the prompt to add more negative constraints, such as "no blurring," "sharp edges," or "standard font geometry." By systematically adjusting the prompt and selecting the appropriate model tier, you can significantly reduce artifacts and produce professional-grade digital signage mockups that effectively communicate their message.