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Decision brief
VisoMaster specializes in video face swapping and editing, offering deepfake creation and live portrait simulation, with ease of installation notably improved for Windows users.
Good fit when
- Use VisoMaster when you are working on projects that require precise face swapping and want to leverage live portrait simulations.
- If you are targeting a Windows environment equipped with an Nvidia GPU and prefer auto-installation options to simplify setup, VisoMaster could be the right choice.
Avoid when
- Avoid using VisoMaster if your primary need is for more generic video editing capabilities that don't involve face swapping or deepfake creation.
- Do not use this tool if your development environment doesn't support Nvidia GPUs, as it relies heavily on the CUDA toolkit.
Observed Jul 12, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Dormant (507d since push)
- As of 3w
- Provenance
- Not a fork · Organization account
- As of 3w
- Security (OSV)
- No lockfile
- As of 1mo
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install VisoMasterSimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
VisoMaster is a tool for video face swapping and editing, offering features like deepfake and live portrait simulation.
Capability facts
- Languages
- python
Source: github.language · Jul 31, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Jul 31, 2026)
pip install -r requirements_cu124.txtSource link
Tags
README
Automatic Installation (Windows)
- For Windows users with an Nvidia GPU, we provide an automatic installer for easy set up.
- You can get the installer from the releases page or from this link.
- Choose the correct CUDA version inside the installer based on your GPU Compatibility.
- After successful installation, go to your installed directory and run the Start_Portable.bat file to launch VisoMaster
Manual Installation Guide (Nvidia)
Follow the steps below to install and run VisoMaster on your system.
3. Install CUDA and cuDNN
conda install -c nvidia/label/cuda-12.4.1 cuda-runtime
conda install -c conda-forge cudnn
4. Install Additional Dependencies
conda install scikit-image
pip install -r requirements_cu124.txt
For agents
This page has a .md twin and JSON over the API.