MuseV English 中文

MuseV: Infinite-length and High Fidelity Virtual Human Video Generation with Visual Conditioned Parallel Denoising
Zhiqiang Xia ^*, Zhaokang Chen^*, Bin Wu^†, Chao Li, Kwok-Wai Hung, Chao Zhan, Yingjie He, Wenjiang Zhou (^*co-first author, ^†Corresponding Author, benbinwu@tencent.com)

github huggingface HuggingfaceSpace [project](comming soon) Technical report (comming soon)

We have setup the world simulator vision since March 2023, believing diffusion models can simulate the world. MuseV was a milestone achieved around July 2023. Amazed by the progress of Sora, we decided to opensource MuseV, hopefully it will benefit the community. Next we will move on to the promising diffusion+transformer scheme.

We will soon release MuseTalk, a real-time high quality lip sync model, which can be applied with MuseV as a complete virtual human generation solution. Please stay tuned!

What is MuseV

MuseV is a diffusion-based virtual human video generation framework, which

1. supports infinite length generation using a novel Visual Conditioned Parallel Denoising scheme.
2. checkpoint available for virtual human video generation trained on human dataset.
3. supports Image2Video, Text2Image2Video, Video2Video.
4. compatible with the Stable Diffusion ecosystem, including base_model, lora, controlnet, etc.
5. supports multi reference image technology, including IPAdapter, ReferenceOnly, ReferenceNet, IPAdapterFaceID.
6. training codes (comming very soon).

News

• [03/27/2024] release MuseV project and trained model musev, muse_referencenet.
• [03/30/2024] add huggingface space gradio to generate video in gui