EchoMimic - aniamte your portrait into video
Explore the innovative world of EchoMimic, transforming static images into dynamic, engaging video.
FAQs
Frequently questions about EchoMimic
What is EchoMimic?
EchoMimic is a project that focuses on creating lifelike audio-driven portrait animations using editable landmark conditioning. It involves various setups and pretrained models to achieve this effect.the github address is https://github.com/BadToBest/EchoMimic.
Who are the contributors to EchoMimic?
The project is contributed by Zhiyuan Chen, Jiajiong Cao, Zhiquan Chen, Yuming Li, and Chenguang Ma from the Terminal Technology Department, Alipay, Ant Group.
How can I set up and use EchoMimic?
To set up EchoMimic, you need to clone the repository, set up a Python environment, and download necessary packages and pretrained weights. Detailed instructions are provided in the README file of the repository.
What are the main checkpoints of the EchoMimic model?
The main checkpoints for the model include denoising_unet.pth, reference_unet.pth, motion_module.pth, and face_locator.pth.
What are the future release plans for EchoMimic?
The project includes milestones for releasing various components, including pretrained models and source code for different algorithms. Future releases will include better pose control, improved singing performance, and a large-scale high-resolution Chinese-based talking head dataset.