
Outdoor Christmas Decoration from Input Image
Product Marketing
A structured prompt for the Lovart model (using Nano Banana Pro) designed to transform an input image into a large-scale, illuminated outdoor Christmas decoration scene. It analyzes the input image's
Prompt
[AI Instruction: Exterior Theme Expansion] Analyze the provided **[Input Image]**. Theme Extraction: Identify the main subject, color palette, and specific motifs (e.g., stars, candy canes, specific characters, elegant gold style, cute pop style, etc.) from the [Input Image]. Scale Up: Expand these elements into large-scale outdoor Christmas decorations and lighting installations. [Scene and Setting] A festive landscape photo taken at night with a wide-angle view of a house's front yard lavishly decorated for Christmas. The ground and roof are covered with fresh snow. [Main Features (Based on Input Image)] Large-Scale Installation: Convert the main subject of the [Input Image] into a large, illuminated outdoor decoration placed in the center of the yard (e.g., a giant glowing wireframe object, inflatable decoration, a large wooden cutout illuminated by spotlights, etc.). [Auxiliary Decorations (Matching Input Style)] Lighting: The color of the LED string lights covering trees, shrubs, and the exterior walls of the house is determined based on the main colors of the [Input Image]. Accents: Garlands on porch railings, door wreaths, and path markers use motifs and colors directly extracted from the [Input Image] (e.g., if the input image has a red ribbon, a giant weatherproof red ribbon is used outdoors). [Atmosphere] Magically glowing and impressive. The entire scene has a unified feel because all elements are based on the single style guide of the [Input Image].





