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Deep Live Cam

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Video & Animation

Introduction

AI tool for real-time face swapping and deepfake videos.

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Deep Live Cam Product Information

Deep Live Cam is an open-source, real-time face swapping and video deepfake tool that enables users to replace faces in live streams or pre-recorded videos using a single source image. It emphasizes speed, multi-platform compatibility, and ethical safeguards, making it suitable for creative production, entertainment, and experimentation across various hardware setups.

How Deep Live Cam Works

  1. Select Source Image: Upload a single image containing the face you want to replace.
  2. Choose Target: Pick the target video or live stream for face swapping.
  3. Begin Processing: Click Start to perform real-time face replacement with live preview.

The tool supports real-time face swapping, one-click deepfake video generation, and seamless operation across multiple execution environments.

Key Features

  • Real-time face swapping with instant live preview
  • One-click video deepfakes for quick production
  • Multi-platform support (CPU, NVIDIA CUDA, Apple Silicon, DirectML, OpenVINO)
  • Optimized performance for faster processing, especially on CUDA-enabled GPUs
  • Built-in ethical use safeguards to prevent misuse of the technology
  • Open-source and free to use with active community support
  • Watermarking options to deter abuse when needed
  • Cross-platform compatibility for diverse hardware configurations

How to Use

  1. Set up the required environment and dependencies.
  2. Select a source image and a target video or live feed.
  3. Start the process and use the real-time preview to adjust results.

Safety and Legal Considerations

  • Built-in checks help prevent inappropriate content. Users should comply with laws and obtain proper consent when using someone else’s likeness.
  • For commercial or sensitive use, review licensing terms and consult legal guidance as needed.

Core Capabilities

  • Real-time face swapping with instant preview
  • One-click generation of deepfake videos
  • Cross-hardware compatibility across CPU/GPU/Apple Silicon platforms
  • Open-source development model with community-driven improvements
  • Ethical safeguards and optional watermarking to mitigate abuse