Wan21 CausVid LoRA

Wan2.1-T2V-CausVid is an advanced text-to-video generation model built upon the Wan2.1-T2V foundation, enhanced with CausVid's causal diffusion approach. This integration enables the model to generate high-quality, temporally consistent videos from text prompts. By leveraging causal diffusion, our model excels at producing coherent long-form videos through an autoregressive generation process, addressing the temporal consistency limitations commonly found in traditional diffusion models. This approach also allows the model to generate videos with significantly fewer inference steps, substantially reducing video generation time while maintaining high quality outputs.