Nano Banana 2 Shoe Catalog: Multi-View Generation Workflow for 360 Spin

Building a professional product catalog often requires showing an item from every angle. For e-commerce, a 360-degree spin view is the gold standard for customer confidence. While traditional photography demands a studio setup and multiple camera angles, AI tools like Nano Banana 2 offer a streamlined alternative. This guide outlines a step-by-step workflow to generate consistent front, back, left, and right views of a shoe using the Nano Banana 2 tool. This approach leverages the model's ability to interpret detailed prompts and maintain object consistency across sequential generations.

Preparing Your Inputs and Model Selection

Before generating any images, you must define your inputs clearly. The foundation of this workflow is a high-quality reference image of your shoe or a very specific text description if no photo exists. Since the goal is a multi-view generation, consistency is paramount. You will need to decide which version of the tool best suits your needs. Google documents Nano Banana 2 as Gemini 3.1 Flash Image (gemini-3.1-flash-image), while Nano Banana Pro corresponds to Gemini 3 Pro Image (gemini-3-pro-image).

For a workflow requiring multiple reference inputs or multi-turn sequential editing to ensure the shoe design remains identical across all four angles, it is crucial to select the appropriate model. Google describes Nano Banana 2 Lite as focused on speed and cost. It is not optimized for multiple reference inputs or multi-turn sequential editing. Therefore, do not recommend Nano Banana 2 Lite for this specific multi-view task without explaining that it may struggle to maintain the precise details required for a cohesive 360 spin. Instead, utilize the standard Nano Banana 2 interface found at Try Nano Banana to access the necessary capabilities for complex prompting.

Step-by-Step Sequential Generation Process

The core of this workflow involves a sequential process where each view builds upon the previous one or uses a consistent base prompt structure. Begin by uploading your reference shoe image into the Nano Banana 2 generator. If you are starting from scratch, use a highly descriptive text prompt detailing the material, color, sole type, and branding style.

Checkpoint 1: Front View Generation Start with the front view. Input your reference image and add a prompt specifying "front view, straight on, neutral background." Ensure the lighting description matches your desired final aesthetic. Once generated, review the image to confirm the shoe's identity is preserved. Label untested prompt examples as examples; for instance, a prompt like "white leather sneaker, side profile" should be treated as a template rather than a guaranteed output.

Checkpoint 2: Side Views (Left and Right) Next, generate the side profiles. In the Nano Banana 2 interface, you can use the image-to-image feature. Upload the generated front view or the original reference, but modify the prompt to specify "left side profile" or "right side profile." Be mindful that prompt instructions describe desired outcomes; they do not guarantee identity, label, object or typography preservation. If the logo appears distorted, refine the prompt to emphasize "exact logo placement" or re-upload the original reference image to anchor the design features. Repeat this process for both the left and right sides, ensuring the lighting direction remains consistent across all images to facilitate a smooth rotation later.

Checkpoint 3: Back View Generation The final step in the sequence is the rear view. Use the same methodology as the side views. Upload the reference or a previously generated side view and adjust the prompt to "back view, heel visible, straight on." Consistency in the background and lighting is critical here. If the background varies significantly between the front and back shots, the final 360 animation will look disjointed. Aim for a uniform white or gray backdrop across all four generated images.

Exporting and Assembling the 360 Spin

Once you have successfully generated the four distinct views (front, left, right, back), the next phase is assembly. Nano Banana 2 supports text-to-image and image-to-image workflows, but the actual stitching of these images into a video or GIF format typically happens outside the generator itself. Download each of the four high-resolution images to your local device.

You can now use standard video editing software or online 360 spin generators to sequence these images. Load them in order: front, right, back, left (or vice versa depending on the rotation direction). Set the frame duration so that the transition between images is seamless. Because the images were generated sequentially with consistent prompts and references, the transitions should appear natural, simulating a physical rotation of the shoe. Remember that Nano Banana refers to the AI image generation/editing tool in these articles. It is not a skincare brand, bottle, jar or physical subject, nor does it physically produce the shoes depicted.

This workflow provides a robust method for creating catalog assets without a physical photoshoot. By carefully managing your prompts and selecting the correct model tier, you can achieve professional-looking results. Always verify the output against your original design requirements before exporting. For more information on the models used, refer to the official documentation. To begin your own project, visit Try Nano Banana and start building your virtual catalog today.