Deep Live Cam

real time face swap and one-click video deepfake with only a single image

hacksider
49512
7265
Python

Deep-Live-Cam

Real-time face swap and video deepfake with a single click and only a single image.

hacksider%2FDeep-Live-Cam | Trendshift

Demo GIF

Disclaimer

This deepfake software is designed to be a productive tool for the AI-generated media industry. It can assist artists in animating custom characters, creating engaging content, and even using models for clothing design.

We are aware of the potential for unethical applications and are committed to preventative measures. A built-in check prevents the program from processing inappropriate media (nudity, graphic content, sensitive material like war footage, etc.). We will continue to develop this project responsibly, adhering to the law and ethics. We may shut down the project or add watermarks if legally required.

  • Ethical Use: Users are expected to use this software responsibly and legally. If using a real person’s face, obtain their consent and clearly label any output as a deepfake when sharing online.

  • Content Restrictions: The software includes built-in checks to prevent processing inappropriate media, such as nudity, graphic content, or sensitive material.

  • Legal Compliance: We adhere to all relevant laws and ethical guidelines. If legally required, we may shut down the project or add watermarks to the output.

  • User Responsibility: We are not responsible for end-user actions. Users must ensure their use of the software aligns with ethical standards and legal requirements.

By using this software, you agree to these terms and commit to using it in a manner that respects the rights and dignity of others.

Users are expected to use this software responsibly and legally. If using a real person’s face, obtain their consent and clearly label any output as a deepfake when sharing online. We are not responsible for end-user actions.

TLDR; Live Deepfake in just 3 Clicks

easysteps

  1. Select a face
  2. Select which camera to use
  3. Press live!

Features & Uses - Everything is in real-time

Mouth Mask

Retain your original mouth for accurate movement using Mouth Mask

resizable-gif

Face Mapping

Use different faces on multiple subjects simultaneously

face_mapping_source

Your Movie, Your Face

Watch movies with any face in real-time

movie

Live Show

Run Live shows and performances

show

Memes

Create Your Most Viral Meme Yet

show
Created using Many Faces feature in Deep-Live-Cam

Omegle

Surprise people on Omegle

Installation (Manual)

Please be aware that the installation requires technical skills and is not for beginners. Consider downloading the prebuilt version.

Click to see the process

Installation

This is more likely to work on your computer but will be slower as it utilizes the CPU.

1. Set up Your Platform

2. Clone the Repository

git clone https://github.com/hacksider/Deep-Live-Cam.git
cd Deep-Live-Cam

3. Download the Models

  1. GFPGANv1.4
  2. inswapper_128_fp16.onnx

Place these files in the “models” folder.

4. Install Dependencies

We highly recommend using a venv to avoid issues.

For Windows:

python -m venv venv
venv\Scripts\activate
pip install -r requirements.txt

For macOS:

Apple Silicon (M1/M2/M3) requires specific setup:

# Install Python 3.10 (specific version is important)
brew install [email protected]

# Install tkinter package (required for the GUI)
brew install [email protected]

# Create and activate virtual environment with Python 3.10
python3.10 -m venv venv
source venv/bin/activate

# Install dependencies
pip install -r requirements.txt

** In case something goes wrong and you need to reinstall the virtual environment **

# Deactivate the virtual environment
rm -rf venv

# Reinstall the virtual environment
python -m venv venv
source venv/bin/activate

# install the dependencies again
pip install -r requirements.txt

Run: If you don’t have a GPU, you can run Deep-Live-Cam using python run.py. Note that initial execution will download models (~300MB).

GPU Acceleration

CUDA Execution Provider (Nvidia)

  1. Install CUDA Toolkit 11.8.0
  2. Install dependencies:
pip uninstall onnxruntime onnxruntime-gpu
pip install onnxruntime-gpu==1.16.3
  1. Usage:
python run.py --execution-provider cuda

CoreML Execution Provider (Apple Silicon)

Apple Silicon (M1/M2/M3) specific installation:

  1. Make sure you’ve completed the macOS setup above using Python 3.10.
  2. Install dependencies:
pip uninstall onnxruntime onnxruntime-silicon
pip install onnxruntime-silicon==1.13.1
  1. Usage (important: specify Python 3.10):
python3.10 run.py --execution-provider coreml

Important Notes for macOS:

  • You must use Python 3.10, not newer versions like 3.11 or 3.13
  • Always run with python3.10 command not just python if you have multiple Python versions installed
  • If you get error about _tkinter missing, reinstall the tkinter package: brew reinstall [email protected]
  • If you get model loading errors, check that your models are in the correct folder
  • If you encounter conflicts with other Python versions, consider uninstalling them:
    # List all installed Python versions
brew list | grep python

# Uninstall conflicting versions if needed
brew uninstall --ignore-dependencies [email protected] [email protected]

# Keep only Python 3.10
brew cleanup

CoreML Execution Provider (Apple Legacy)

  1. Install dependencies:
pip uninstall onnxruntime onnxruntime-coreml
pip install onnxruntime-coreml==1.13.1
  1. Usage:
python run.py --execution-provider coreml

DirectML Execution Provider (Windows)

  1. Install dependencies:
pip uninstall onnxruntime onnxruntime-directml
pip install onnxruntime-directml==1.15.1
  1. Usage:
python run.py --execution-provider directml

OpenVINO™ Execution Provider (Intel)

  1. Install dependencies:
pip uninstall onnxruntime onnxruntime-openvino
pip install onnxruntime-openvino==1.15.0
  1. Usage:
python run.py --execution-provider openvino

Usage

1. Image/Video Mode

  • Execute python run.py.
  • Choose a source face image and a target image/video.
  • Click “Start”.
  • The output will be saved in a directory named after the target video.

2. Webcam Mode

  • Execute python run.py.
  • Select a source face image.
  • Click “Live”.
  • Wait for the preview to appear (10-30 seconds).
  • Use a screen capture tool like OBS to stream.
  • To change the face, select a new source image.

Tips and Tricks

Check out these helpful guides to get the most out of Deep-Live-Cam:

Visit our official blog for more tips and tutorials.

Command Line Arguments (Unmaintained)

options:
  -h, --help                                               show this help message and exit
  -s SOURCE_PATH, --source SOURCE_PATH                     select a source image
  -t TARGET_PATH, --target TARGET_PATH                     select a target image or video
  -o OUTPUT_PATH, --output OUTPUT_PATH                     select output file or directory
  --frame-processor FRAME_PROCESSOR [FRAME_PROCESSOR ...]  frame processors (choices: face_swapper, face_enhancer, ...)
  --keep-fps                                               keep original fps
  --keep-audio                                             keep original audio
  --keep-frames                                            keep temporary frames
  --many-faces                                             process every face
  --map-faces                                              map source target faces
  --mouth-mask                                             mask the mouth region
  --video-encoder {libx264,libx265,libvpx-vp9}             adjust output video encoder
  --video-quality [0-51]                                   adjust output video quality
  --live-mirror                                            the live camera display as you see it in the front-facing camera frame
  --live-resizable                                         the live camera frame is resizable
  --max-memory MAX_MEMORY                                  maximum amount of RAM in GB
  --execution-provider {cpu} [{cpu} ...]                   available execution provider (choices: cpu, ...)
  --execution-threads EXECUTION_THREADS                    number of execution threads
  -v, --version                                            show program's version number and exit

Looking for a CLI mode? Using the -s/–source argument will make the run program in cli mode.

Press

We are always open to criticism and are ready to improve, that’s why we didn’t cherry-pick anything.

Credits

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Contributions

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