Deep-Live-Cam 2.1.6
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.
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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.
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Content Restrictions: The software includes built-in checks to prevent processing inappropriate media, such as nudity, graphic content, or sensitive material.
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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.
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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.
Pre-built Quickstart
Windows • Mac Silicon • CPU • NVIDIA • AMD
Builds optimized for your hardware.
Ultimate includes 30+ exclusive features, performance optimizations, and priority support.
Perfect if you want the fastest setup with zero manual installation, pre-configured dependencies, and optimized builds for every supported platform.
TLDR; Live Deepfake in just 3 Clicks
- Select a face
- Select which camera to use
- Press live!
Features & Uses - Everything is in real-time
Mouth Mask
Retain your original mouth for accurate movement using Mouth Mask
Face Mapping
Use different faces on multiple subjects simultaneously
Your Movie, Your Face
Watch movies with any face in real-time
Live Show
Run Live shows and performances
Memes
Create Your Most Viral Meme Yet
Created using Many Faces feature in Deep-Live-Cam
Omegle
Surprise people on Omegle
ishowspeed.mp4
Installation (Manual)
Please be aware that the installation requires technical skills and is not for beginners. Consider downloading the quickstart 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
- Python (3.14 recommended; 3.11-3.14 supported)
- pip
- git
- ffmpeg -
iex (irm ffmpeg.tc.ht) - Visual Studio 2022 Runtimes (Windows)
2. Clone the Repository
git clone --depth 1 https://github.com/hacksider/Deep-Live-Cam.git
cd Deep-Live-Cam3. Download the Models
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.txtFor Linux:
# Ensure you use the installed Python 3.14
python3 -m venv venv
source venv/bin/activate
pip install -r requirements.txtFor macOS:
Apple Silicon (M1 through M5) requires specific setup:
# Install Python 3.14
brew install python@3.14
# Install tkinter package (required for the GUI)
brew install python-tk@3.14
# Create and activate virtual environment with Python 3.14
python3.14 -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
# gfpgan and basicsrs issue fix
pip install git+https://github.com/xinntao/BasicSR.git@master
pip uninstall gfpgan -y
pip install git+https://github.com/TencentARC/GFPGAN.git@masterRun: 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)
- Install CUDA Toolkit 12.8.0
- Install cuDNN v8.9.7 for CUDA 12.x (required for onnxruntime-gpu):
- Download cuDNN v8.9.7 for CUDA 12.x
- Make sure the cuDNN bin directory is in your system PATH
- Install dependencies:
pip install -U torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu128
pip uninstall onnxruntime onnxruntime-gpu
pip install onnxruntime-gpu==1.21.0- Usage:
python run.py --execution-provider cudaCoreML Execution Provider (Apple Silicon)
Apple Silicon (M1 through M5) specific installation:
- Make sure you've completed the macOS setup above using Python 3.14.
- No extra install step is needed —
requirements.txtpulls the officialonnxruntimebuild, whose macOS wheels ship the CoreML execution provider. If you previously installed the unmaintainedonnxruntime-siliconfork, remove it first, as it shadows the real package:
pip uninstall onnxruntime-silicon
pip install -r requirements.txt- Usage:
python3.14 run.py --execution-provider coremlImportant Notes for macOS:
- Python 3.11 is the minimum (onnxruntime dropped 3.10); 3.14 is recommended
- Always run with
python3.14command not justpythonif you have multiple Python versions installed - If you get error about
_tkintermissing, reinstall the tkinter package:brew reinstall python-tk@3.14 - 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 python@3.11 # Keep only Python 3.14 brew cleanup
CoreML Execution Provider (Apple Legacy)
- Install dependencies:
pip uninstall onnxruntime onnxruntime-coreml
pip install onnxruntime-coreml==1.21.0- Usage:
python run.py --execution-provider coremlDirectML Execution Provider (Windows)
- Install dependencies:
pip uninstall onnxruntime onnxruntime-directml
pip install onnxruntime-directml==1.21.0- Usage:
python run.py --execution-provider directmlOpenVINO™ Execution Provider (Intel)
- Install dependencies:
pip uninstall onnxruntime onnxruntime-openvino
pip install onnxruntime-openvino==1.21.0- Usage:
python run.py --execution-provider openvinoUsage
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.
Download all models in this huggingface link
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
- Ars Technica - "Deep-Live-Cam goes viral, allowing anyone to become a digital doppelganger"
- Yahoo! - "OK, this viral AI live stream software is truly terrifying"
- CNN Brasil - "AI can clone faces on webcam; understand how it works"
- Bloomberg Technoz - "Get to know Deep Live Cam technology, it can be used as a tool for deception."
- TrendMicro - "AI vs AI: DeepFakes and eKYC"
- PetaPixel - "Deepfake AI Tool Lets You Become Anyone in a Video Call With Single Photo"
- SomeOrdinaryGamers - "That's Crazy, Oh God. That's Fucking Freaky Dude... That's So Wild Dude"
- IShowSpeed - "Alright look look look, now look chat, we can do any face we want to look like chat"
- TechLinked (Linus Tech Tips) - "They do a pretty good job matching poses, expression and even the lighting"
- IShowSpeed - "What the F**! Why do I look like Vinny Jr? I look exactly like Vinny Jr!? No, this shit is crazy! Bro This is F*** Crazy!"*
Credits
- ffmpeg: for making video-related operations easy
- Henry: One of the major contributor in this repo
- 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
- laurigates: Decoupling stuffs to make everything faster!
- maxwbuckley: For making the effort to optimize this for mac!
- 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 ❤️
