Overview
AnimateDiff is an open-source implementation designed to animate personalized text-to-image diffusion models. It functions as a plug-and-play module, enabling the transformation of existing text-to-image models (like Stable Diffusion) into animation generators without requiring additional training of the base model. The architecture involves learning transferable motion priors that can be applied across various Stable Diffusion family models. Key stages include alleviating negative effects through domain adaptation, learning motion priors, and optionally adapting to new patterns using MotionLoRA. The tool also supports SparseCtrl for adding sparse controls (RGB images or sketches) to text-to-video models. This approach offers flexibility and control over animation content. It provides several pre-trained models and MotionLoRAs. AnimateDiff has multiple versions, including SDXL-Beta, each having specific motion modules trained on high-resolution videos. It's also officially supported by Diffusers.