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@@ -13,7 +13,7 @@ Wenjiang Zhou
**[github](https://github.com/TMElyralab/MuseTalk)** **[huggingface](https://huggingface.co/TMElyralab/MuseTalk)** **Project(comming soon)** **Technical report (comming soon)** **[github](https://github.com/TMElyralab/MuseTalk)** **[huggingface](https://huggingface.co/TMElyralab/MuseTalk)** **Project(comming soon)** **Technical report (comming soon)**
We introduce `MuseTalk`, a **real-time high quality** lip-syncing model (30fps+ on an NVIDIA Tesla V100). MuseTalk can be applied with virtual human videos, e.g., generated by [MuseV](https://github.com/TMElyralab/MuseV), as a complete solution. We introduce `MuseTalk`, a **real-time high quality** lip-syncing model (30fps+ on an NVIDIA Tesla V100). MuseTalk can be applied with input videos, e.g., generated by [MuseV](https://github.com/TMElyralab/MuseV), as a complete virtual human solution.
# Overview # Overview
`MuseTalk` is a real-time high quality audio-driven lip-syncing model trained in the latent space of `ft-mse-vae`, which `MuseTalk` is a real-time high quality audio-driven lip-syncing model trained in the latent space of `ft-mse-vae`, which