#consistency learning

AnimateLCM utilizes a decoupled learning paradigm for efficient animation generation, optimizing image and temporal creation separately. This approach improves training speed and quality with fewer steps. The platform supports a range of video generation types, including text-to-video and image-to-video. Its models, like AnimateLCM-T2V and AnimateLCM-SVD, integrate LoRA weights and motion modules, accommodating diverse tools such as ControlNet and IP-Adapter.