Nano Banana 2 Shoe Catalogs: Mastering Size Reference Prompts

When generating product imagery for a shoe catalog, the most common challenge is conveying actual dimensions. A high-resolution image of a sneaker might look impressive, but without context, viewers cannot intuitively understand if it is a toddler size or an adult size. This is where prompt engineering becomes critical. By incorporating specific scale reference objects into your Nano Banana 2 prompts, you can ground the digital asset in reality, helping potential customers visualize the true proportions of the footwear.

Nano Banana refers to the AI image generation and editing tool used here, not a cosmetic brand or physical product. The platform supports both text-to-image and image-to-image workflows, allowing users to refine their visual output through precise instructions. However, it is important to remember that prompt instructions describe desired outcomes; they do not guarantee identity, label, object, or typography preservation. Therefore, when asking for size references, you must be explicit about the relationship between the shoe and the surrounding elements.

Why Scale References Matter for Footwear

In e-commerce, ambiguity leads to returns. If a customer orders a pair of shoes based on an image that lacks clear size cues, they may receive a product that feels too large or too small compared to their expectations. Visual scale is essential for building trust. By placing a familiar object next to the shoe—such as a standard coffee cup, a coin, or a human hand—you provide an immediate mental benchmark for the viewer.

This technique is particularly useful for new brands launching generic, unbranded products. Since the goal is to showcase the design and fit rather than a specific logo, the focus shifts entirely to form and proportion. Using these references ensures that the generated image serves its primary function: accurately representing the product for sale.

Five Prompt Strategies for Size Context

To help you implement this effectively, here are five materially different usable prompts designed for various scenarios. These examples illustrate how to adjust the scene to highlight size without cluttering the composition.

1. The Hand-Hold Comparison

Use Case: Best for showcasing casual sneakers or boots where a human element adds warmth and relatability. Prompt Example: "A side profile of a white leather sneaker resting gently in the palm of a person's hand, fingers slightly curled around the heel. Soft studio lighting, neutral gray background. The shoe should appear to be a standard adult size relative to the hand." Adjustments: If the shoe looks too small, specify "larger hand" or "child's hand" depending on the target demographic. Note that while this works well for single images, multi-turn sequential editing may yield inconsistent results across different model versions.

2. The Everyday Object Anchor

Use Case: Ideal for minimalist product shots where human presence is distracting. Prompt Example: "A sleek running shoe placed directly next to a standard 355ml aluminum soda can on a wooden table. The can acts as a height reference. Clean shadows, bright natural light, shallow depth of field focusing on the shoe texture." Adjustments: Change the object to a smartphone or a deck of cards if you need a different aspect ratio reference. Ensure the object is described as "standard" to avoid confusion with oversized novelty items.

3. The Step-by-Step Perspective

Use Case: Useful for demonstrating sole thickness and overall volume. Prompt Example: "A low-angle shot of a hiking boot stepping onto a paved surface. A standard brick is visible in the foreground for scale. The perspective emphasizes the height of the sole relative to the brick. Realistic textures, overcast sky lighting." Adjustments: For a more dramatic effect, place multiple bricks or use a ruler. Be aware that complex scenes with many objects can sometimes confuse the model regarding which element is the primary subject.

4. The Packaging Context

Use Case: Perfect for unboxing style visuals or retail display contexts. Prompt Example: "A pair of dress shoes sitting inside an open shoebox. A standard credit card is placed on top of the box lid for size comparison. Professional packaging aesthetic, soft diffused lighting, clean white background." Adjustments: Specify the orientation of the card (horizontal vs. vertical) to control the visual flow. This prompt works best when the focus remains on the shoe, not the box art.

5. The Floor Tile Grid

Use Case: Excellent for technical specifications or architectural settings. Prompt Example: "A formal loafer placed on a tiled floor with standard 12-inch square tiles. The shoe spans exactly two tiles in length. High contrast, sharp focus, overhead angle." Adjustments: If the tiles appear distorted, simplify the instruction to "standard floor tiles" without specifying exact measurements, as the model interprets visual patterns differently.

Model Selection and Limitations

It is crucial to select the right version of the tool for these tasks. Google documents Nano Banana 2 as Gemini 3.1 Flash Image, while Nano Banana Pro corresponds to Gemini 3 Pro Image. Nano Banana 2 Lite is identified as Gemini 3.1 Flash Lite Image and is focused on speed and cost. It is not optimized for multiple reference inputs or multi-turn sequential editing. Do not recommend Nano Banana 2 Lite for complex scaling workflows without explaining this limitation.

The website hosts a Nano Banana 2 product page at /nanobanana2 and supports text-to-image and image-to-image workflows. Its prompt library offers example prompts that users can copy or take into the generator. While these prompts are designed to improve scale perception, they are examples and do not guarantee specific outcomes. Always test variations to find the best balance between artistic style and factual accuracy.

For those looking to explore these capabilities further, Try Nano Banana.

By integrating these scale reference techniques, you transform generic AI-generated images into functional catalog assets. Whether you are using a hand, a soda can, or floor tiles, the key is consistency. As you refine your prompts, you will develop a workflow that consistently delivers clear, trustworthy product imagery for your audience.