Fixing Cropped Logos in Nano Banana 2 Square Ads

When creating square ad creatives using Nano Banana 2, many users encounter a frustrating issue where their brand logos or text elements are partially cropped at the edges. This symptom typically manifests as the logo appearing sliced, with critical parts of the design missing from the final output. The problem is most prevalent when the AI attempts to fill the entire canvas with high-detail imagery while adhering to the aspect ratio constraints of a square format.

It is important to distinguish between what is happening technically and what might be assumed. A common misconception is that the tool is malfunctioning or that the model has a specific bug regarding logos. However, known facts indicate that prompt instructions describe desired outcomes but do not guarantee identity, label, object, or typography preservation. The AI prioritizes compositional balance and aesthetic harmony over strict adherence to pre-defined boundaries for specific objects unless explicitly guided otherwise. Therefore, the cropping is often a result of the model's interpretation of space rather than a software error.

Separating Plausible Causes from Known Facts

To effectively troubleshoot this issue, we must separate plausible user assumptions from verified technical realities. One plausible cause is that the user believes the AI will automatically detect and protect a logo uploaded in an image-to-image workflow. While the tool supports image-to-image workflows, there is no guarantee that the system will preserve every element exactly as it appears in the reference input, especially if the prompt suggests a different composition.

Another plausible cause is the assumption that all versions of the tool handle complex layouts equally well. It is crucial to note that 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. If a user attempts to use Nano Banana 2 Lite for a complex task requiring precise logo placement alongside other elements, the limitations of the Lite version could contribute to framing errors. In contrast, Nano Banana 2 (Gemini 3.1 Flash Image) and Nano Banana Pro (Gemini 3 Pro Image) offer different capabilities, but none provide a magic button for perfect typography retention without specific guidance.

The known fact remains that the AI generates images based on the semantic meaning of the prompt. If the prompt describes a scene where a logo is central but does not explicitly define the safe zones or margins, the model may place the logo too close to the edge to maximize visual impact, resulting in the crop.

Diagnosing the Framing Issue

Diagnosing the root cause involves analyzing how the prompt interacts with the square canvas. The issue usually stems from a lack of spatial definition in the instruction. When the prompt asks for a "square ad creative" without specifying margins, the AI fills the frame completely. If the logo is mentioned as a key element, the model might position it near the border to create a dynamic look, inadvertently cutting it off during generation.

Furthermore, the nature of text and logos in AI generation is distinct from standard photography. Unlike a camera capturing a physical object, the AI synthesizes these elements. If the prompt relies on the AI to "include a logo" without describing its size relative to the frame, the resulting object may be scaled incorrectly or positioned poorly. This is particularly true if the user expects the tool to act like a graphic design editor that respects layer boundaries, which is not the primary function of a generative model.

Practical Fixes to Keep Logos Visible

To resolve the cropping issue, you must adjust your prompting strategy to explicitly define the spatial relationship between the logo and the frame edges. Instead of simply asking for a logo, instruct the AI to leave ample negative space around the branding. For example, you can modify your prompt to state: "Create a square ad with a large empty margin around the center where a logo will be placed later." This technique forces the AI to generate the background and surrounding elements first, leaving a clear zone.

Another effective method is to use descriptive language that emphasizes the logo's position relative to the borders. Phrases like "logo centered with significant padding on all sides" or "brand mark kept fully within the inner 80% of the frame" can guide the generation process. Since prompt instructions do not guarantee preservation, combining these spatial cues with a clear description of the logo's scale helps the model understand the priority of keeping the element intact.

If you are working with a reference image containing a logo, ensure you are using the appropriate model version. Avoid relying on Nano Banana 2 Lite for tasks requiring precise multi-element control, as it lacks optimization for such workflows. Stick to Nano Banana 2 or Nano Banana Pro for better handling of complex compositions. You can explore the prompt library for examples that demonstrate how to structure requests for layout-heavy designs, treating them as starting points for your own specific needs.

Verifying Your Results

After applying these fixes, verify the output by checking the full resolution of the generated image. Look specifically at the corners and edges to ensure no part of the logo is truncated. If the logo still appears cut off, try increasing the requested margin in your prompt or simplifying the scene to reduce the AI's tendency to crowd the frame. Remember that while these strategies significantly improve success rates, they do not guarantee a perfect outcome in every single generation due to the probabilistic nature of the technology.

By understanding the distinction between the tool's capabilities and user expectations, and by refining your prompts to prioritize spatial safety, you can consistently produce square ad creatives that showcase your brand logo clearly. For more information on how to utilize the generator effectively, Try Nano Banana.

Sources: Google Gemini image generation documentation.