Hi HN, I'm the creator of ClothMotion. We built a specialized interface for generating fashion and garment videos from static images. What it does: Instead of using general-purpose prompts on individual platforms, ClothMotion orchestrates multiple video generation models (integrating engines like Kling, Nanobanana 2, and others) to specifically handle cloth physics and virtual try-on scenarios. The Problem: While general video models are getting powerful, getting them to respect specific garment details or textures without hallucinating can be tricky. We try to solve this by optimizing the inputs specifically for fashion use cases. Under the hood: It acts as a unified gateway to these models. You upload a flat lay or a mannequin shot, and we process it through the selected model pipeline to generate the motion. I'm curious to hear your thoughts on the consistency of the cloth movement compared to raw model outputs. Thanks!