LivePortrait vs MuseTalk

Portrait animation and audio-driven lip-sync compared

LivePortrait transfers motion from a driving video or template to a source portrait, while MuseTalk modifies a face to match supplied audio. Both offer Python workflows and Gradio interfaces, but LivePortrait focuses on portrait motion and editing, whereas MuseTalk focuses on audio-synced talking heads and includes training code.

LivePortraitMuseTalk
LanguagePythonPython
LicenseNOASSERTIONNOASSERTION
Stars19.2k6.7k
Forks2k968
Last analyzedOct 3, 2026Oct 3, 2026

Key differences

  • LivePortrait supports portrait animation, video-to-video editing, motion templates, and motion retargeting; MuseTalk generates lip-synced video from audio and a source image or video.
  • LivePortrait transfers motion from a driving video or template; MuseTalk uses audio features and single-step latent-space inpainting to alter mouth movement.
  • LivePortrait supports human and animal workflows, with animal mode requiring X-Pose; MuseTalk supports audio in languages including Chinese, English, and Japanese.
  • Both provide command-line or script-based inference and a Gradio interface, while MuseTalk also provides dataset preprocessing and staged training scripts.
  • LivePortrait lists 19.2k stars and 2k forks, compared with MuseTalk's 6.7k stars and 968 forks; both are unarchived and list Python and NOASSERTION metadata.
  • Both document GPU-related setup considerations. LivePortrait gives CUDA and PyTorch setup guidance and notes Apple Silicon support for human mode; MuseTalk requires a CUDA-capable GPU and reports 30fps+ on a Tesla V100, depending on configuration.

Choose LivePortrait if you…

  • need portrait motion transfer from a driving video or reusable motion template.
  • want to edit portrait videos or adjust motion with stitching and retargeting controls.
  • need human and animal animation workflows and can meet the animal-mode setup requirements.
Read the LivePortrait analysis →

Choose MuseTalk if you…

  • need to match a face's mouth movements to supplied audio for dubbing or virtual-human workflows.
  • want scripts for real-time inference, dataset preprocessing, and staged training.
  • need audio-driven lip-sync and can work within the documented CUDA requirements and output limitations.
Read the MuseTalk analysis →

Compare the numbers side by side, or add more projects

This comparison is generated with AI from the OSRepos analyses of both projects. Always check each project's repository and documentation before choosing.