Nano Banana 2 Tutorial: Blending Real Photos with AI Hotel Lobbies

Creating a photorealistic hotel lobby often requires more than just a single camera shot. Sometimes, you need to enhance the atmosphere, add specific architectural details, or adjust the lighting to match a brand's identity without losing the authenticity of the original space. This tutorial demonstrates how to use Nano Banana to blend real-world photography with AI-generated elements effectively. By leveraging image-to-image workflows, you can maintain your scene's composition while introducing sophisticated lighting effects and decorative features that feel entirely natural.

Prerequisites for Successful Blending

Before diving into the generation process, it is essential to understand the tools and models available within the ecosystem. Nano Banana refers to the AI image generation and editing tool used in this context; it is not a skincare brand, bottle, jar, or physical subject. The platform supports both text-to-image and image-to-image workflows, which are critical for this specific task.

For blending real photos with new elements, you will primarily rely on the image-to-image capabilities. Google documents Nano Banana 2 as utilizing the Gemini 3.1 Flash Image model (gemini-3.1-flash-image). It is important to distinguish this from Nano Banana Pro, which uses Gemini 3 Pro Image (gemini-3-pro-image), and Nano Banana 2 Lite, which corresponds to Gemini 3.1 Flash Lite Image (gemini-3.1-flash-lite-image).

When selecting a model for this workflow, consider the following facts:

• Nano Banana 2 (Gemini 3.1 Flash Image) offers a balance of quality and speed suitable for detailed edits.
• Nano Banana 2 Lite is focused on speed and cost efficiency. However, it is not optimized for multiple reference inputs or multi-turn sequential editing. If your project requires complex layering or iterative refinement of the lobby elements, Lite may not be the best choice without understanding these limitations.
• Prompt instructions describe desired outcomes but do not guarantee the preservation of specific identities, labels, objects, or typography found in the original photo.

Ensure you have a high-quality source image of your hotel lobby ready. The clearer the original photo, the better the AI can understand the perspective and lighting to generate compatible additions.

Step-by-Step Workflow for Blending Elements

To achieve a seamless blend, follow this structured approach using the Nano Banana interface. This process focuses on integrating AI-generated lighting and decor while respecting the original scene's geometry.

1. Upload Your Source Image: Navigate to the image-to-image section of the tool. Upload your photograph of the hotel lobby. Ensure the image is well-lit and free of excessive noise to help the model interpret the spatial layout accurately.
2. Craft Your Descriptive Prompt: Write a prompt that clearly defines what you want to add or change. For example, specify "warm ambient lighting," "modern chandelier," or "luxurious velvet seating." Remember that prompts describe desired outcomes rather than guaranteeing exact object placement. You might try an example like: "Add soft golden hour lighting and a large crystal chandelier to the center of this hotel lobby, maintaining the existing floor tiles and wall textures."
3. Adjust Generation Settings: Select the appropriate model. For this task, Nano Banana 2 is generally recommended over Lite due to its superior handling of complex scenes. Avoid using Lite if you plan to make multiple adjustments in sequence, as it lacks optimization for multi-turn editing.
4. Generate and Review: Click the generate button to produce the result. The AI will attempt to merge your request with the uploaded image. Review the output to see if the lighting direction matches the original shadows and if the added elements respect the perspective lines of the room.
5. Iterate if Necessary: If the first result feels disjointed, refine your prompt. Be specific about the style and lighting conditions. You can re-run the generation with slight variations until the blend looks convincing.

Judging Results and Troubleshooting Common Issues

Determining whether the blend is successful involves checking for visual consistency. The most common issue is a mismatch in lighting direction or shadow depth. If the AI-generated chandelier casts a shadow opposite to the window light in your photo, the result will look fake. To fix this, update your prompt to explicitly mention matching the existing light source direction.

Another potential issue is the distortion of architectural lines. If walls appear curved or floors look warped, it may indicate that the model struggled with the perspective constraints. In such cases, try reducing the complexity of the prompt or lowering the influence of the generative element so the original structure remains dominant.

It is also crucial to remember that prompt instructions do not guarantee the preservation of specific objects. If you need to keep a specific logo or sign visible, the AI might alter or remove it during the blending process. Always verify that key branding elements remain intact after generation.

For those looking to explore further capabilities or compare different tiers of service, you can visit the Try Nano Banana page to access the generator directly. Whether you are enhancing a marketing image or creating a concept design, mastering these blending techniques allows you to create hotel lobbies that feel both luxurious and authentically grounded.

By adhering to these steps and understanding the specific strengths of each model version, you can produce high-quality images that seamlessly integrate reality with imagination. Keep experimenting with lighting descriptions and structural cues to refine your results over time.