Nano Banana 2 Tutorial: Aligning Fabric Wrinkles with Reference Images
Prerequisites for Realistic Cloth Simulation
Before attempting to edit fabric in Nano Banana 2, it is essential to understand the specific capabilities of the tool. Nano Banana refers to the AI image generation and editing platform, distinct from any skincare brand or physical product. To achieve the goal of aligning fabric wrinkles to a subject's pose, you must utilize the text-to-image or image-to-image workflows available on the official product page at /nanobanana2.
The primary requirement for this tutorial is the selection of the correct model version. Google documents Nano Banana 2 as Gemini 3.1 Flash Image (gemini-3.1-flash-image). While there are other versions like Nano Banana Pro (Gemini 3 Pro Image) and Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image), the latter has specific limitations. Google describes Nano Banana 2 Lite as focused on speed and cost, noting that it is not optimized for multiple reference inputs or multi-turn sequential editing. Therefore, for complex tasks involving pose alignment and detailed texture manipulation, the standard Nano Banana 2 model is the recommended choice over the Lite version.
You will also need a source image containing the subject and a reference image showing the desired fabric behavior. The prompt library within the interface offers example prompts that users can copy or adapt. Remember that prompt instructions describe desired outcomes but do not guarantee identity, label, object, or typography preservation. These examples serve as starting points rather than guaranteed solutions.
Step-by-Step Editing Process for Pose Alignment
To force gravity and tension logic onto the generated cloth, follow this structured workflow. This process relies on the ability of the model to interpret visual cues from reference inputs to dictate how fabric should drape.
- Initialize the Workspace: Navigate to the Nano Banana 2 interface via /nanobanana2. Select the image-to-image mode to begin your editing session. Ensure you have selected the gemini-3.1-flash-image model, avoiding the Lite version which may struggle with the complexity of multiple reference inputs.
- Upload Source and Reference Images: Upload your base image featuring the subject whose pose you wish to maintain. Simultaneously, upload a reference image that clearly displays the type of fabric and the specific wrinkle pattern you want to emulate. The reference image acts as the visual guide for the AI to understand the desired tension and fold density.
- Construct the Prompt: In the text input field, describe the action of aligning the fabric. You might use an instruction such as "Align fabric wrinkles to match the pose in the reference image, applying realistic gravity and tension." Since these are untested prompt examples, treat them as templates to be refined based on your specific output. Do not assume the AI will perfectly preserve the original subject's identity without further iteration.
- Execute Generation: Submit the request. The system will attempt to merge the pose constraints from the source image with the texture logic from the reference image. If the initial result lacks the desired wrinkle depth, you may need to engage in multi-turn editing, provided you are not using the Lite version.
- Iterate for Precision: If the first pass does not fully capture the tension logic, refine your prompt to emphasize specific areas, such as "tighten folds around the elbow" or "relax fabric near the waist." Repeat the generation process until the fabric behaves naturally under the simulated gravity.
How to Judge Results and Apply Fixes
Evaluating the success of your edit requires looking for consistency between the subject's pose and the fabric's reaction. A successful result shows wrinkles following the natural lines of the body, indicating that the AI has correctly applied gravity and tension logic. If the fabric appears to float or ignore the underlying anatomy, the alignment has failed.
Common issues include the fabric appearing too stiff or the wrinkles being misaligned with the joint movements. If this occurs, check if you inadvertently used the Nano Banana 2 Lite model, which may lack the necessary processing power for these specific workflows. Additionally, ensure your reference image is high quality; low-resolution references can confuse the model regarding texture details.
If the prompt fails to produce the desired effect, try simplifying the instruction. Instead of asking for complex physics, focus on descriptive terms like "heavy cotton draping" or "silk flowing." It is important to note that prompt instructions do not guarantee specific outcomes. Always verify the generated image against your reference to ensure the pose remains intact while the fabric updates.
For those seeking advanced features or different model capabilities, you may explore the Nano Banana Pro page at /nanobananapro. However, always remember that website pages named Nano Banana Lite do not by themselves establish support for Google Nano Banana 2 Lite features. Model names and capabilities must be verified through official documentation.
By following these steps and understanding the limitations of each model variant, you can effectively manipulate fabric textures to match dynamic poses. This approach ensures that your edits remain grounded in realistic physics while leveraging the generative power of the tool.