Transform into anyone using this crazy AI tool

Welcome to the easiest guide you'll find for installing Deep Live Cam, a fun and impressive live deepfake tool. Even if you’re not technical, don’t worry, we’ve got your back.

What is Deep Live Cam?

It's a tool that lets you transform your face in real time using AI magic. Think FaceSwap, but live. You can prank your friends or just explore the tech, it’s all local (on your computer), so no data is sent anywhere. Your secret's safe.

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What You'll Need First

Before installing, let's get the essentials out of the way. It’s like setting the table before a feast.

1. Install Python (3.10 is required)

Head over to python.org and download Python 3.10.

Make sure you check the box that says "Add Python to PATH" during installation.

2. Install Git

Grab it from git-scm.com and install like you would any other app.

3. Install ffmpeg

This tool handles video magic.

• Press Windows + R, type powershell, then hit enter.

• Paste this in and press Enter:

iex (irm ffmpeg.tc.ht)

This command:

• iex = run the downloaded command as a script

• irm = download a script from the web (shorthand for Invoke-RestMethod)

• The rest points to a safe script to auto-install ffmpeg on Windows.

• after the script runs you'll get three options and you need to choose number 3

• still stuck? refer this video: https://www.youtube.com/watch?v=OlNWCpFdVMA

4. Install Visual Studio 2022 Runtimes (Windows only)

Download from: Microsoft Visual C++ Redistributable

Choose the version matching your system (x64 for most users).

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Clone & Set It Up

1. Open Terminal / Command Prompt and paste the commands:

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

cd Deep-Live-Cam

2. Download the Models

Download these two files:

• GFPGANv1.4

• inswapper_128_fp16.onnx

Put them into the models folder inside the cloned Deep-Live-Cam directory. No need to unzip or rename.

3. Set Up Virtual Environment (Optional, but Smart)

Helps prevent your computer from becoming a dependency mess.

For Windows:

python -m venv venv

venv\Scripts\activate

pip install -r requirements.txt

For macOS (Apple Silicon):

brew install python@3.10

brew install python-tk@3.10

python3.10 -m venv venv

source venv/bin/activate

pip install -r requirements.txt

If you get _tkinter errors, reinstall tkinter using brew reinstall python-tk@3.10

For Linux:

python3.10 -m venv venv

source venv/bin/activate

pip install -r requirements.txt

4. Fix Missing Module Error (pygrabber)

You might see an error like ModuleNotFoundError: No module named 'pygrabber' Just run:

pip install pygrabber

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Time to Run It!

You can run the tool with this command:

python run.py

This downloads additional files (~300MB), so have your Wi-Fi ready.

GPU Acceleration (If You Want Speed)

CUDA (Nvidia Only)

Only try this if you're feeling adventurous and have an Nvidia GPU.

Steps:

1. Install CUDA Toolkit 11.8 from Nvidia

2. You also need a full Visual Studio 2022 installation with C++ workload enabled.

It didn't work well on a GTX 3050 for me. YMMV.

Then run:

pip uninstall onnxruntime onnxruntime-gpu

pip install onnxruntime-gpu==1.16.3

python run.py --execution-provider cuda

Apple Silicon (M1/M2/M3)

pip uninstall onnxruntime onnxruntime-silicon

pip install onnxruntime-silicon==1.13.1

python3.10 run.py --execution-provider coreml

Windows (DirectML)

pip uninstall onnxruntime onnxruntime-directml

pip install onnxruntime-directml==1.15.1

python run.py --execution-provider directml

Intel (OpenVINO)

pip uninstall onnxruntime onnxruntime-openvino

pip install onnxruntime-openvino==1.15.0

python run.py --execution-provider openvino

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Troubleshooting Tips

• If your models don’t load: double-check they’re in the right models/ folder.

• If Python 3.10 isn’t being used:

  • On macOS, always use python3.10, not python

• Conflicting Python versions?

brew list | grep python
brew uninstall --ignore-dependencies python@3.11 python@3.13
brew cleanup

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Final Notes

• The tool works fine with just CPU, though it’ll be slower.

• GPU acceleration is cool, but not mandatory.

• If you hit a wall, don’t panic—90% of the time it’s a missing install.

Now go deepfake responsibly.

Credits

Deep Live Cam is created and maintained by hacksider on GitHub.