VisoMaster-Fusion
Powerful & Easy-to-Use Video Face Swapping and Editing Software
GraphCanon updated 3w · GitHub synced 3w · 36 views this month
Decision brief
VisoMaster-Fusion is designed to facilitate video face swapping and editing through AI processing, with enhanced performance on Nvidia GPUs.
Good fit when
- You need advanced capabilities for video face-swapping and editing that can benefit from hardware acceleration via an Nvidia GPU.
- Your primary operating system is Windows 10 or 11 (64-bit) and you require a user-friendly interface to manage complex AI tasks.
Avoid when
- If your workflow does not involve significant use of video editing or face swapping, or if you prefer managing the setup process yourself without using the portable launcher.
- When working in an environment with less than 8GB VRAM since VisoMaster-Fusion's performance is notably enhanced by higher VRAM configurations.
- Requirements:
- System requirements include a Windows 10 or 11 64-bit OS, with an Nvidia GPU recommended for optimal performance.; Ensure you have at least 20-30 GB free disk space and internet access during the first run.
Observed Jul 17, 2026 · Source: enrich:decision_facts
Verify the decision
Maintenance and security
Full trust report- Maintenance
- Very active (3d 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 VisoMaster-FusionSimilar 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 Fusion is a tool for video face swapping and editing, featuring support for AI processing enhanced by GPU usage.
Capability facts
- Languages
- python
Source: github.language+pyproject.toml · Jul 31, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Jul 31, 2026)
Use this path only if you want to manage the Python environment yourself.Source link
Tags
README
🚀 Quick Start
Most users should use the portable launcher:
- Create a new folder where you want VisoMaster Fusion to live.
- Download only
Start_Portable.batfrom latest release. - Put
Start_Portable.batin the new folder and run it.
The first launch downloads the portable runtime, dependencies, FFmpeg, and model files. After setup, always start VisoMaster Fusion with Start_Portable.bat.
💻 System Requirements
- Operating system: Windows 10 or Windows 11, 64-bit
- GPU: Nvidia GPU recommended
- VRAM: 6 GB minimum for basic use; 8-12 GB or more recommended for heavier workflows
- Driver: Nvidia driver
>=576.57recommended for CUDA 12.9 support - Internet: Required on first run to download dependencies and models
- Disk space: 20-30 GB free space recommended
The app can run on CPU, but AI processing is much slower. Most users should use the portable version unless they specifically want a manual development setup.
🧰 Non-Portable Installation
Use this path only if you want to manage the Python environment yourself.
1. Clone the repository
git clone https://github.com/VisoMasterFusion/VisoMaster-Fusion
cd VisoMaster-Fusion
Most users should use the main branch. The dev branch contains newer or in-progress changes.
2. Create and activate a Python environment
Using Anaconda:
conda create -n visomaster python=3.12 -y
conda activate visomaster
pip install uv
Using uv directly:
uv venv --python 3.12
.venv\Scripts\activate
3. Install requirements
uv pip install -r requirements_cu13.txt
4. Download required models
python download_models.py
5. Install FFmpeg
On Windows, either:
- Run:
winget install -e --id Gyan.FFmpeg --version 7.1.1 - Or download https://www.gyan.dev/ffmpeg/builds/packages/ffmpeg-7.1.1-essentials_build.zip, unzip it, and add
\<unzipped ffmpeg path>\binto your WindowsPATH
6. Run the application
Open Start.bat on Windows, or activate your environment in a terminal inside the VisoMaster-Fusion directory and run:
python main.py
To update a non-portable checkout:
git pull
uv pip install -r requirements_cu13.txt
python download_models.py
For agents
This page has a .md twin and JSON over the API.