DeepLiveCam
Open SourceOpen-source real-time AI face-swapping and avatar tool for creating VTuber streamers and transforming digital identities.
工具信息
什么是 DeepLiveCam？
DeepLiveCam is an open-source AI tool that enables real-time face swapping with any image and the creation of virtual avatars for VTubing, digital identity transformation, and related creative uses. It includes built-in privacy and security features so data stays secure and the application is not used for malicious purposes.
核心功能
Real-time face swap
Swap your face with any image in real-time for effortless transformations.
Avatar and VTuber technology
Cutting-edge avatar technology to craft stunning virtual personas and create Avatar VTuber streamers in real-time.
DeepLiveCam Lite
Streamlined version for straightforward face and body swaps without specialized hardware or GPU, via Decart’s API integration; available for Windows and Mac.
Privacy and security features
Built-in security features ensuring data stays secure and the application is not used for malicious purposes.
Real-time video playback and face mapping
Watch videos saved on your computer instantly without rendering, with face mapping capabilities for movies starring you.
Hardware editions and optimizations
Support for Nvidia GPU, AMD GPU, and Mac/Silicon editions, with performance optimizations for GPU and non-GPU use, plus regular version updates including 2.7 series and Lite 1.1.
使用场景
- #1
Avatar VTuber streaming
Create your own Avatar VTuber streamer in real-time for live streaming and virtual persona use.
- #2
Digital identity transformation
Transform digital identity by swapping faces with any image and crafting virtual personas.
- #3
Personal video face mapping
Apply face mapping to watch and experience movies or videos starring yourself in real-time without full rendering.
定价方案
Described as an open-source AI tool; site includes Subscribe, Priority Support, Login, and limited 10% discount coupon references, plus free Lite version options, but no detailed public pricing tiers listed.
