DCM: Dual-Expert Consistency Model for Efficient and High-Quality Video Generation
This repository hosts the Dual-Expert Consistency Model (DCM) as presented in the paper Dual-Expert Consistency Model for Efficient and High-Quality Video Generation. DCM addresses the challenge of applying Consistency Models to video diffusion, which often leads to temporal inconsistency and loss of detail. By using a dual-expert approach, DCM achieves state-of-the-art visual quality with significantly reduced sampling steps.
For more information, please refer to the project's Github repository.
You can use this model with the `diffusers` library. Make sure you have `diffusers`, `transformers`, `torch`, `accelerate`, and `imageio` (with `imageio-ffmpeg` for MP4/GIF saving) installed.