GitHub - guoyww/AnimateDiff: Official implementation of AnimateDiff.

🚀 Explore GitHub's #AnimateDiff: a cutting-edge module turning community models into animation generators without additional training! 💡Latest updates include Domain Adapter LoRA and SparseCtrl encoders for even better control. 🎨🤖 #AI #GitHub #Innovation

AnimateDiff is a plug-and-play module that transforms community models into animation generators without requiring additional training.
AnimateDiff v3 introduces Domain Adapter LoRA for image model finetuning and implements SparseCtrl encoders for controlling the generation process using condition maps.
SparseCtrl encoders allow for adjusting visual attributes at inference by using a full Domain Adapter in the pipeline.
AnimateDiff v2 enhances sample quality by training the motion module on larger resolution and batch size and introduces MotionLoRA for camera movement controls.
AnimateDiff v1 offers models like ToonYou and Realistic Vision V2.0, showcasing qualitative improvements in sample quality.
The project is released for academic use, emphasizing responsible and ethical utilization of the generative model.