MuseVIt is an AI-based video generation system that is unique in that it can generate high-definition videos of any length.Virtual HumanPrevious AI video generation technologies were often limited to short videos, because the longer the generation time, the more likely the picture will be distorted and errors will accumulate.
MuseV breaks through this limitation by using a new method called "visual conditional parallel denoising". Simply put, the entire long video is divided into multiple short clips, which are generated in parallel and then spliced together. In this way, even "infinitely long" videos can maintain high quality.
MuseV not only supports generating videos from plain text, but also accepts pictures or videos as references for further generation. It is compatible with the Stable Diffusion ecosystem, including basic models, LoRA, ControlNet, etc. It also supports multi-reference image technologies such as IPAdapter, ReferenceOnly, ReferenceNet, and IPAdapterFaceID. Some pre-trained model weights are also provided, such as the motion model for text to video and the museev_referencenet model for image reference.
MuseV Features
Unlimited creativity, unlimited length: break the traditional video length limit and let creativity flow freely.
Multiple conversion modes, as you wish: Text2Video, Image2Video, Video2Video, various conversion modes meet different creative needs.
Ecosystem compatibility and unlimited expansion: Fully support the Stable Diffusion ecosystem and easily access various advanced models and technologies.
Rich references, outstanding effects: Multi-reference image technology helps creators achieve more detailed and personalized video effects.
Official website address:https://github.com/TMElyralab/MuseV