OmniLottie is a generative model designed to create Lottie JSON vector animations from natural language prompts and images. It uses vision-language model techniques to understand multi-modal inputs and produce parameterized vector graphics with embedded animations. The project includes model weights, inference code, a 2M-sample dataset (MMLottie-2M), and a benchmark suite (MMLottieBench) for evaluating vector animation generation.