hacksider/Deep-Live-Cam — Gitpedia

<h1 align="center">Deep-Live-Cam 2.1.6</h1> Real-time face swap and video deepfake with a single click and only a single image. <a href="https://trendshift.io/repositories/11395" target="_blank"><img src="https://trendshift.io/api/badge/repositories/11395" alt="hacksider%2FDeep-Live-Cam | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a> <img src="media/demo.gif" alt="Demo GIF" width="800">

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.

Exclusive v2.7 RC2 Quick Start - Pre-built (Windows/Mac Silicon/CPU)

This is the fastest build you can get if you have a discrete NVIDIA or AMD GPU, CPU or Mac Silicon, And you'll receive special priority support. 2.7 beta is the best you can have with 30+ extra features than the open source version.

These Pre-builts are perfect for non-technical users or those who don't have time to, or can't manually install all the requirements. Just a heads-up: this is an open-source project, so you can also install it manually.

TLDR; Live Deepfake in just 3 Clicks

easysteps

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

<img src="media/meme.gif" alt="show" width="450"> 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 quickstart version.

<details> <summary>Click to see the process</summary>

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 (3.11 recommended)
pip
git
ffmpeg - iex (irm ffmpeg.tc.ht)
Visual Studio 2022 Runtimes (Windows)

2. Clone the Repository

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

3. Download the Models

Place these files in the "models" folder.

4. Install Dependencies

We highly recommend using a venv to avoid issues.

For Windows:

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

For Linux:

bash
# Ensure you use the installed Python 3.11
python3 -m venv venv
source venv/bin/activate
pip install -r requirements.txt

For macOS:

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

bash
# Install Python 3.11 (specific version is important)
brew install python@3.11

# Install tkinter package (required for the GUI)
brew install python-tk@3.11

# Create and activate virtual environment with Python 3.11
python3.11 -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 **

bash
# 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@master

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)

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:

bash
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:

bash
python run.py --execution-provider cuda

CoreML Execution Provider (Apple Silicon)

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

Make sure you've completed the macOS setup above using Python 3.11.
Install dependencies:

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

Usage:

bash
python3.11 run.py --execution-provider coreml

Important Notes for macOS:

You must use Python 3.11, not newer versions like 3.13
Always run with python3.11 command not just python if you have multiple Python versions installed
If you get error about _tkinter missing, reinstall the tkinter package: brew reinstall python-tk@3.11
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:

bash
# List all installed Python versions
brew list | grep python

# Uninstall conflicting versions if needed
brew uninstall --ignore-dependencies python@3.13

# Keep only Python 3.11
brew cleanup

CoreML Execution Provider (Apple Legacy)

Install dependencies:

bash
pip uninstall onnxruntime onnxruntime-coreml
pip install onnxruntime-coreml==1.21.0

Usage:

bash
python run.py --execution-provider coreml

DirectML Execution Provider (Windows)

Install dependencies:

bash
pip uninstall onnxruntime onnxruntime-directml
pip install onnxruntime-directml==1.21.0

Usage:

bash
python run.py --execution-provider directml

OpenVINO™ Execution Provider (Intel)

Install dependencies:

bash
pip uninstall onnxruntime onnxruntime-openvino
pip install onnxruntime-openvino==1.21.0

Usage:

bash
python run.py --execution-provider openvino

</details>

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.

Download all models in this huggingface link

Download models here

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 ❤️