Deep Live Cam
real time face swap and one-click video deepfake with only a single image
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What is Deep Live Cam?
Deep Live Cam is an offline AI-powered real-time face-swapping software that transforms your face into anyone's in live video feeds using just a single image. This powerful desktop application brings advanced deepfake capabilities directly to your computer without requiring internet connectivity, ensuring fast processing and complete privacy control over your data.
The tool offers real-time face swap functionality for live streaming and video calls, plus one-click video deepfake generation. Key features include advanced face recognition that accurately detects and tracks facial features, a user-friendly interface accessible to all skill levels, and built-in security features to prevent malicious use. The Quickstart version provides precompiled plug-and-play installation without technical skills required.
Deep Live Cam is designed for streamers, filmmakers, content creators, VTubers, and anyone interested in immersive storytelling, virtual avatars, privacy-conscious streaming, and creative digital effects. The software supports NVIDIA GPUs (2080, 3060 or higher with 6GB VRAM), AMD GPUs (6GB VRAM), and Mac Silicon architecture, with execution providers including CUDA, CoreML, DirectML, and OpenVINO.
The application operates 100% offline with no uploads or online dependencies, giving users total independence from cloud-based restrictions. It includes ethical use safeguards with built-in checks to prevent processing of inappropriate content, ensuring legal and responsible use of the deepfake technology.
Deep Live Cam pricing
Pricing model: Freemium
The open-source GitHub version is completely free but requires manual compilation and installation. The Quickstart subscriber version is precompiled and plug-and-play with no technical skills required. Pricing includes: Monthly Subscriber at $30/month for NVIDIA/AMD users with priority support and latest download access; Quarterly Subscriber at $60/3 months for Mac Silicon users with priority support, exclusive tips and tricks, plus one 1-hour support session via MS Teams every 3 months. Subscribers get access to Version 2.6 which is 0.5 versions ahead of the GitHub edition (2.1). You receive receipt via email and download from account dashboard after purchase.
Deep Live Cam pros
- Real-time face swapping in live video feeds
- Works with just a single source image
- 100% offline operation with no internet required
- No uploads or cloud dependencies for complete privacy
- User-friendly interface suitable for beginners
- Precompiled Quickstart version requires no technical skills
- Plug-and-play installation without messy setup
- Fast processing speeds on compatible hardware
- Built-in security features prevent malicious use
- Ethical use safeguards with content restrictions
- Priority support for subscribers
- 0.5 versions ahead of open-source GitHub edition
- Multi-platform support (NVIDIA, AMD, Mac Silicon)
- One-click video deepfake generation
- Full control over privacy and personal data
- Perfect for VTuber and streamer avatars
- Advanced face recognition with accurate tracking
Deep Live Cam cons
- Requires NVIDIA GPU 2080/3060 or higher with 6GB VRAM
- Only 8-16 FPS without face enhancer depending on hardware
- Below 10 FPS with face enhancer (as low as 0.5 FPS)
- Face enhancer cuts speed by approximately 1/4
- Takes 5-10 minutes to start the application
- Laptops perform significantly worse than desktops
- Non-frontal camera angles produce unrealistic results
- Significant facial movements decrease quality
- AMD GPU users get only 6-10 FPS typically
- Subscription required for Quickstart precompiled version
Frequently asked questions about Deep Live Cam
What is Deep Live Cam?
Deep Live Cam is real-time face swap and one-click video deepfake software that works with only a single image. It is powerful offline software bringing advanced AI-driven face-swapping capabilities to your desktop with no internet required.
Can Deep Live Cam be used for free?
Yes, the open-source GitHub version is completely free. However, it requires you to compile it on your own. The Quickstart precompiled version requires a subscription but offers plug-and-play installation without technical skills.
What are the system requirements?
For NVIDIA users: GPU 3060 or higher with 6GB+ VRAM, Windows 10+, CUDA 12.8. For AMD users: 6GB VRAM or higher, Windows 10+. For Mac users: Mac Silicon architecture only. The tool runs between 8-16 FPS without face enhancer depending on hardware.
How do I use Deep Live Cam?
With Quickstart it takes 3 steps: Choose the Image, Select which webcam to use, Hit Live! The process is plug-and-play with no complicated installations aside from downloading CUDA for NVIDIA users.
Can Deep Live Cam perform real-time face swaps?
Yes, real-time face swapping is the most important feature. It instantly swaps your face with another person's in live video feeds, creating entertaining and interactive experiences for streaming and video calls.
What FPS can I expect?
It runs 8-16 FPS without face enhancer and below 10 FPS with face enhancer (as low as 0.5 FPS) depending on hardware. NVIDIA GPU with 6GB VRAM gets around 8 FPS, can reach 20 FPS with i9 and 24GB VRAM. AMD typically gets 6-10 FPS.
Can I still use Deep Live Cam after subscription expires?
Yes, you should still be able to use the most basic features of the application with tons of functionality even after your subscription expires.
What is the difference between GitHub and Quickstart versions?
GitHub version is open source and free but requires manual compilation. Quickstart version is precompiled without messy installations, plug-and-play, requires no technical skills, is 0.5 versions ahead of GitHub edition, and includes priority support.
Does Deep Live Cam work on laptops?
Not all computers are similar, especially laptops as some configuration varies. Do not expect top performance on laptops. Desktop is way faster than laptop even when using similar CPU/GPU.
Is Deep Live Cam safe and ethical?
Yes, it has built-in security features ensuring your data stays secure and the application won't be used for malicious purposes. It includes ethical use safeguards with built-in checks preventing processing of inappropriate content for legal and ethical use.