Nano Banana 2 Troubleshooting Guide for Blurry Hotel Lobby Textures

When generating architectural interiors, users often encounter a specific symptom: the generated image of a hotel lobby lacks crisp detail. Instead of distinct marble veins, clear wood grain, or sharp fabric weaves on upholstery, the textures appear soft, smeared, or indistinct. This issue is particularly noticeable in areas that should feature fine-grained material details. While the overall composition might be correct, the lack of texture clarity can make the scene look low-resolution or unfinished. This guide addresses how to resolve these quality issues within the Nano Banana 2 environment.

Separating Plausible Causes from Known Facts

Before attempting fixes, it is crucial to distinguish between user expectations and the technical reality of the tool. A common misconception is that the AI model automatically preserves every minute detail without explicit instruction. However, prompt instructions describe desired outcomes; they do not guarantee identity, label, object, or typography preservation. If a prompt simply requests a "luxury hotel lobby," the model may prioritize the general atmosphere over specific surface textures, leading to the observed blurriness.

Another factor to consider is the specific model variant being used. Google documents Nano Banana 2 as Gemini 3.1 Flash Image (gemini-3.1-flash-image). It is important to note that this is distinct from Nano Banana Pro (Gemini 3 Pro Image) or Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image). The Lite version is focused on speed and cost and is not optimized for multiple reference inputs or multi-turn sequential editing. Using the Lite version for complex texture generation without understanding its constraints could contribute to lower fidelity results. Furthermore, while the website hosts pages for different tiers, the presence of a page does not establish identical features across all versions. Users must ensure they are utilizing the standard Nano Banana 2 workflow for high-detail tasks rather than assuming all listed tools offer the same capabilities.

Optimizing Prompts for Material Specificity

The primary method to fix blurry textures lies in refining the prompt structure. Since the model does not inherently know you want sharp details, you must explicitly define the material properties. Generic terms like "nice floor" or "fancy chairs" are insufficient. Instead, use descriptive language that targets the physical characteristics of the materials. For example, specify "polished granite with visible crystalline structure" or "velvet upholstery with deep pile texture."

It is helpful to treat the prompt as a set of directives rather than a casual description. You can take inspiration from the prompt library available on the site, which offers example prompts that users can copy or take into the generator. These examples demonstrate how to articulate complex scenes. When adapting these for a hotel lobby, focus on lighting interactions with surfaces. Phrases like "high-contrast lighting highlighting dust motes and surface imperfections" can force the model to render finer details. Remember that these are untested prompt examples intended to illustrate the concept of specificity; actual results will vary based on the input.

If the initial generation remains soft, try breaking down the request. Instead of asking for the whole room at once, consider focusing the prompt on the foreground elements where texture is most critical. This approach helps the model allocate its attention to the specific areas requiring high fidelity. Avoid relying on assumptions about what the model knows; always state the desired visual outcome clearly.

Verifying Texture Quality After Generation

Once you have adjusted your prompt to include specific material descriptors, generate the image and perform a verification step. Zoom in on the generated textures to check for the presence of fine lines, edges, and surface variations. If the image still appears blurry, review the model selection. Ensure you are running the task on the standard Nano Banana 2 instance and not inadvertently switching to a version optimized for speed over quality.

If the issue persists despite detailed prompting, it may be a limitation of the current generation parameters rather than a user error. In such cases, revisiting the prompt to add more negative constraints (e.g., "no blur," "sharp focus") can sometimes help, though success is not guaranteed. For users needing advanced workflows involving multiple references, be aware that the Lite version is not designed for this. If high-fidelity texture work is critical, sticking to the core Nano Banana 2 capabilities is recommended.

For those ready to experiment with these techniques immediately, you can access the tool directly here: Try Nano Banana.

By understanding the distinction between general descriptions and specific material requirements, and by selecting the appropriate model tier, users can significantly improve the clarity of their generated hotel lobby textures. Always remember that while the tool is powerful, the output quality relies heavily on the precision of the input instructions.