AMONIC’s AI Team Unlocks New Milestone in Furniture Material Training

Amonic’s AI team has made a significant leap in furniture material modeling by enhancing LoRA (Low-Rank Adaptation) training, now supporting precise simulation and replacement of matte-finish surfaces and walnut wood textures.

Thanks to our proprietary algorithms, we have enabled the automated conversion of furniture texture assets into LoRA training datasets. Designers can now submit clean material samples that are seamlessly transformed into model-ready data — eliminating the need for extensive manual preprocessing.

Compared to previous workflows, the new method reduces training time by approximately 70% while increasing texture fidelity and rendering stability. This transforms the long-standing vision of “what you see is what you get” into a practical, scalable solution for product visualization.

Inconsistent visuals between promotional images and final products have long plagued online furniture sales. AMONIC’s AI solution bridges this gap — enabling true-to-life previews that streamline the entire chain from concept to checkout, strengthening buyer confidence.From factory-level material switching to designer-led customization, AMONIC is redefining the future of furniture design with intelligent, efficient, and transparent AI capabilities.