Deep-Live-Cam

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

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.

Quick Start - Pre-built (Windows / Nvidia)

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

pip install -r requirements.txt

brew install [email protected]

pip uninstall onnxruntime onnxruntime-gpu
pip install onnxruntime-gpu==1.16.3

python run.py --execution-provider cuda

pip uninstall onnxruntime onnxruntime-silicon
pip install onnxruntime-silicon==1.13.1

python run.py --execution-provider coreml

pip uninstall onnxruntime onnxruntime-coreml
pip install onnxruntime-coreml==1.13.1

python run.py --execution-provider coreml

pip uninstall onnxruntime onnxruntime-directml
pip install onnxruntime-directml==1.15.1

python run.py --execution-provider directml

pip uninstall onnxruntime onnxruntime-openvino
pip install onnxruntime-openvino==1.15.0

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
  --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.

• “Deep-Live-Cam goes viral, allowing anyone to become a digital doppelganger” - Ars Technica
• “Thanks Deep Live Cam, shapeshifters are among us now” - Dataconomy
• “This free AI tool lets you become anyone during video-calls” - NewsBytes
• “OK, this viral AI live stream software is truly terrifying” - Creative Bloq
• “Deepfake AI Tool Lets You Become Anyone in a Video Call With Single Photo” - PetaPixel
• “Deep-Live-Cam Uses AI to Transform Your Face in Real-Time, Celebrities Included” - TechEBlog
• “An AI tool that “makes you look like anyone” during a video call is going viral online” - Telegrafi
• “This Deepfake Tool Turning Images Into Livestreams is Topping the GitHub Charts” - Emerge
• “New Real-Time Face-Swapping AI Allows Anyone to Mimic Famous Faces” - Digital Music News
• “This real-time webcam deepfake tool raises alarms about the future of identity theft” - DIYPhotography
• “That’s Crazy, Oh God. That’s Fucking Freaky Dude… That’s So Wild Dude” - SomeOrdinaryGamers
• “Alright look look look, now look chat, we can do any face we want to look like chat” - IShowSpeed

Credits

• ffmpeg: for making video-related operations easy
• deepinsight: for their insightface project which provided a well-made library and models. Please be reminded that the use of the model is for non-commercial research purposes only.
• havok2-htwo: for sharing the code for webcam
• GosuDRM: for the open version of roop
• pereiraroland26: Multiple faces support
• vic4key: For supporting/contributing to this project
• kier007: for improving the user experience
• qitianai: for multi-lingual support
• and all developers behind libraries used in this project.
• Footnote: Please be informed that the base author of the code is s0md3v
• All the wonderful users who helped make this project go viral by starring the repo ❤️

Contributions

Stars to the Moon 🚀