About DeepFaceLive
TL;DR
DeepFaceLive is a free, open-source real-time face swap software for Windows PCs that enables users to replace their face during live streams and video calls using deep learning models. It supports webcam and video input, offers 30+ pre-trained face models, and can achieve real-time streaming at 25 fps on capable GPUs. The project is licensed under GPL-3.0 and requires no cloud subscription, though the GitHub repository was archived in November 2024, meaning it no longer receives updates.
DeepFaceLive is an impressive open-source real-time face swap software that delivers solid results at zero cost, but its archived status, Windows-only support, and steep learning curve limit its long-term appeal. It remains a strong choice for technically skilled content creators with capable NVIDIA GPUs who want full local control over face-swapping.
Best for: Technically inclined content creators, streamers, and hobbyists on Windows PCs with capable NVIDIA GPUs who want free, private, real-time face swapping for live streams and video calls.
What is DeepFaceLive?
Overview
DeepFaceLive is an open-source, real-time face swap app built for Windows PCs, developed by the Russian developer known as iperov. It allows users to replace their face with another during live video streams, video calls, or pre-recorded video processing. Unlike cloud-based deepfake tool services, DeepFaceLive runs entirely on local hardware, leveraging DirectX12 and ONNX-based neural networks for GPU-accelerated face replacement. The project earned over 25,000 stars on GitHub and became one of the most widely used real-time face-swapping tools before its repository was archived in November 2024. It is closely related to DeepFaceLab, the companion project used for training custom face models.
Key Capabilities
As a live face swap tool, DeepFaceLive provides three core functions. The primary Model Face-Swap (DFM) mode uses trained deep learning models to perform high-quality face replacement in real time, with over 30 pre-trained public face models available out of the box. The Photo Face-Swap (Insight) mode enables face swapping using just a single photograph, eliminating the need for model training entirely. The Face Animator module lets users animate a static face image by controlling it with their own webcam or a video source, essentially puppeteering a still photo in real time. The software integrates with OBS Studio for live streaming and works with video call platforms like Zoom, Skype, and Discord through virtual camera output. It supports multi-GPU rendering via DirectX12, multiple face detection algorithms (YOLOv5, CenterFace, SFD), and configurable output encoding in H.264 or H.265.
Pricing Analysis
DeepFaceLive is completely free. Released under the GPL-3.0 open-source license, there are no subscription fees, usage limits, or premium tiers. Users download a self-contained portable package from Mega.nz or Yandex.Disk and run it directly without installing additional software beyond GPU drivers. The only real cost is hardware: the software demands a DirectX12-compatible GPU (NVIDIA RTX 2070 or AMD Radeon RX 5700 XT recommended), at least 16GB RAM, and a modern CPU with AVX support. Compared to cloud-based deepfake services like Deepfakes Web ($3-$50/session) or subscription tools like Reface, DeepFaceLive offers unlimited use at zero monetary cost, though users must invest in capable hardware.
Who Should Use This
DeepFaceLive is best suited for content creators, streamers, and hobbyists who want to experiment with face swap software for real-time face swapping on their Windows PC. Streamers can use it to create entertaining face-swap content on Twitch or YouTube Live via OBS Studio. Video producers can use it for creative effects in pre-recorded content. Developers and researchers interested in this deepfake tool's technology will appreciate the open-source codebase and the ability to train custom models through DeepFaceLab. However, this is not a beginner-friendly tool. It requires a solid understanding of GPU configurations, model selection, and parameter tuning. Users who want a simple, one-click solution would be better served by consumer apps like Reface or cloud services like Deepfakes Web.
The Bottom Line
DeepFaceLive was one of the most capable free, real-time face-swapping tools available, delivering impressive results for an open-source project. Its ability to process live video at 25 fps, support for multiple swap modes, and zero-cost licensing made it a go-to choice for technically inclined creators. However, the project was archived in November 2024 and no longer receives updates, bug fixes, or new model support. The Windows-only limitation and steep hardware requirements further narrow its audience. For users willing to work within these constraints, it remains a powerful tool, but newcomers may want to consider actively maintained alternatives like Deep Live Cam or FaceFusion. The quality is sufficient for entertainment and creative streaming but falls short of professional VFX standards without significant fine-tuning.
Pros
- Completely free and open-source under GPL-3.0 with no usage limits or subscriptions
- Real-time face swapping at up to 25 fps with support for live streaming via OBS Studio
- 30+ pre-trained face models included, plus the ability to train custom models via DeepFaceLab
- Runs entirely on local hardware with no cloud dependency, ensuring full privacy
- Multiple face-swap modes including model-based, single-photo, and face animation
Cons
- Repository archived in November 2024 with no further updates or bug fixes planned
- Windows-only with no macOS or Linux support for the pre-built releases
- Steep hardware requirements, needs a high-end GPU (RTX 2070+ recommended) with 6GB+ VRAM
- Significant learning curve for configuration, parameter tuning, and custom model training
How to Use DeepFaceLive
- 1Check System Requirements
Ensure you have a Windows 10 PC with a DirectX12-compatible GPU (NVIDIA RTX 2070 or AMD RX 5700 XT or better), at least 16GB RAM, a CPU with AVX support, and the latest GPU drivers installed.
- 2Download the Release
Download the portable self-extracting release package from the GitHub releases page, Mega.nz, or Yandex.Disk. Extract the archive to a local folder, no additional software installation is required.
- 3Launch and Select Input
Run the DeepFaceLive executable. Choose your video input source: a webcam for real-time face swapping, or load a video file for offline processing.
- 4Choose a Face Model
Select a pre-trained face model from the 30+ included DFM models, or switch to Insight mode to swap using a single photograph. You can also load custom models trained in DeepFaceLab.
- 5Tune Parameters
Adjust the face detection algorithm (YOLOv5 recommended for best speed/accuracy balance), detection threshold (0.7-0.9), expression intensity coefficient, and output resolution to optimize results for your face pair.
- 6Stream or Record Output
Route the face-swapped output to OBS Studio via virtual camera for live streaming, connect to Zoom or Skype for video calls, or export the processed video with H.264 or H.265 encoding.
Key Features of DeepFaceLive
Core
Replace your face with trained deep learning models in real time at up to 25 fps.
Swap faces using just a single photograph without requiring model training.
Animate a static face image by controlling it with your webcam or a video source in real time.
Leverage DirectX12-based multi-GPU rendering for improved performance.
AI Features
Choose from over 30 included public face models for immediate use without training.
Train personalized face models using DeepFaceLab for higher-quality results.
Choose from YOLOv5, CenterFace, and SFD face detection algorithms for different accuracy needs.
Integration
Route face-swapped output directly to OBS Studio via virtual camera for live streaming.
Use face swaps in Zoom, Skype, and Discord through virtual camera output.
Export
Export processed video with H.264 or H.265 encoding for optimal quality and file size.
Key Specifications
| Attribute | DeepFaceLive |
|---|---|
| Free Tier | |
| API Access | |
| Platform Support | Windows |
| AI Powered | |
| Open Source | |
| Offline Capable | |
| Gpu Required | |
| Actively Maintained |
Use Cases
- Enhancing live streams with creative face swapping.
- Participating in video calls with virtual avatars.
- Creating entertaining content for social media platforms.
- Developing and testing deepfake models.
- Providing privacy by using avatars instead of real faces.
Integrations
Streaming
Video Conferencing
Communication
AI/ML Tools
Limitations
DeepFaceLive is Windows-only, requires a high-end DirectX12 GPU (RTX 2070 or better recommended), and its GitHub repository was archived in November 2024, meaning no new features, bug fixes, or community model updates. Multi-person face swapping is not supported in the current version.
