Deep Live Cam

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

hacksider
42094
6179
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 Performance Demo GIF

Disclaimer

This software is intended as a productive contribution to the AI-generated media industry. It aims to assist artists with tasks like animating custom characters or using them as models for clothing, etc.
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.
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.

Quick Start - Pre-built

Features - Everything is real-time

Mouth Mask

Retain your original mouth using Mouth Mask

resizable-gif

Face Mapping

Use different faces on multiple subjects

face_mapping_source

Your Movie, Your Face

Watch movies with any face in real-time

movie

Benchmarks

Nearly 0% detection!

bench

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

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

3. Download the Models

  1. GFPGANv1.4
  2. inswapper_128_fp16.onnx (Note: Use this replacement version if you encounter issues)

Place these files in the “models” folder.

4. Install Dependencies

We highly recommend using a venv to avoid issues.

pip install -r requirements.txt

For macOS: Install or upgrade the python-tk package:

brew install [email protected]

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 or CUDA Toolkit 12.1.1
  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)

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

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.

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
  --nsfw-filter                                            filter the NSFW image or video
  --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

Stargazers

Contributions

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