M
MuseV
TMElyralab/MuseV
MuseV: Infinite-length and High Fidelity Virtual Human Video Generation with Visual Conditioned Parallel Denoising
★2.8kstars
Python
NOASSERTION
Updated: 2d ago
📋 Project at a Glance
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What's this?A diffusion/human-video-generation tool in the Models category, built with Python, open-source
Who made it?Maintained by TMElyralab team, 2.8K⭐ on GitHub, #524 out of 3201 in Models
Why does it exist?The TMElyralab team recognized that existing diffusion tools in Models were hard to use. MuseV was designed to make human-video-generation more accessible.
What can it do?Key use cases: image2video, infinite-length, musev
How to install with AI?Use an AI coding assistant (Claude Code, Cursor, Copilot) to automatically set up pip dependencies and virtual env. Follow the README — the AI handles the rest.
🔗 github.com/TMElyralab/MuseV
🔗 github.com/TMElyralab/MuseV
Topics
diffusionhuman-video-generationimage2videoinfinite-lengthmusevvideo-generation