Deep Live Cam Installation with Python: Full Step-by-Step Guide

In this comprehensive tutorial, learn how to install *Deep Live Cam* using Python. *Deep Live Cam* is a powerful AI tool that allows you to alter your appearance in real-time, changing your face or creating digital effects for live streams. It integrates seamlessly with streaming platforms like *Streamlabs* and **OBS**, making it perfect for content creators who want to elevate their streams, just like **IShowSpeed**. Follow this full installation guide and master Deep Live Cam to enhance your video content with dynamic, real-time effects and face transformations.
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Step 1: Remove Old Python Versions
Run PowerShell as an *Administrator**. Press **Windows + X* on your keyboard and select "Windows PowerShell (Admin). or Terminal Admin"
To check your current Python version, type:
```bash
python --version
```
The recommended version for this program is **Python 3.10**.

Make sure to install Python in the correct directory. To change directories, use the command:
```bash
cd [example path: C:\Windows\System32]
```

Step 2: Install Chocolatey
Follow the setup guide on Chocolatey:
[https://docs.chocolatey.org/en-us/cho...](https://docs.chocolatey.org/en-us/cho...)

Run the following command in PowerShell to install Chocolatey:
```bash
Set-ExecutionPolicy Bypass -Scope Process -Force; [System.Net.ServicePointManager]::SecurityProtocol = [System.Net.ServicePointManager]::SecurityProtocol -bor 3072; iex ((New-Object System.Net.WebClient).DownloadString('https://community.chocolatey.org/inst...)
```
To check if Chocolatey is installed, type:
```bash
choco -v
```

Step 3: Install Python 3.10
Use Chocolatey to install Python 3.10:
```bash
choco install python --version=3.10.0
```
Verify installation:
```bash
python --version
```

Step 4: Install Git
Install Git via Chocolatey:
```bash
choco install git
```
Check if Git is installed:
```bash
git --version
```

Step 5: Install FFmpeg
Install FFmpeg:
```bash
choco install ffmpeg
```
Check if installed:
```bash
ffmpeg --version
```

Step 6: Install C++ Build Tools
Download and install C++ Build Tools from Microsoft's website:
[https://visualstudio.microsoft.com/vi...](https://visualstudio.microsoft.com/vi...)

Step 7: Install Nvidia CUDA (if needed)
For users with a GPU, download and install CUDA:
[https://developer.nvidia.com/cuda-dow...](https://developer.nvidia.com/cuda-dow...)
Skip this step if you are using a CPU.

Step 8: Clone the Deep Live Cam Repository
Go to the Deep Live Cam GitHub repository:
[https://github.com/hacksider/Deep-Liv...](https://github.com/hacksider/Deep-Liv...)

Run this command to clone the repository:
```bash
git clone https://github.com/hacksider/Deep-Liv...
```

Step 9: Download Required Files
Visit Hugging Face to download `GFPGANv1.4.pth` and `inswapper_128_fp16.onnx`:
[https://huggingface.co/hacksider/deep...](https://huggingface.co/hacksider/deep...)

Save the files in the `models` folder inside the *Deep Live Cam* directory.

Step 10: Install Requirements
Navigate to the Deep Live Cam folder and run the following command to install the required Python libraries:
```bash
pip install -r requirements.txt
```

Step 11: Setting Environment Variables
You need to set the *environment variables* for the installation to work properly.

#### On Windows:
1. *Search "Environment Variables"* in the Start menu and click "Edit the system environment variables."
2. In the "System Properties" window, click **Environment Variables**.
3. Under **System variables**, click **New**.
4. Enter a name (e.g., `PYTHON_PATH`) and the appropriate directory path (e.g., `C:\Python\`).
5. Click *OK* to save.


Step 12: Run Deep Live Cam
Finally, run Deep Live Cam by typing the following in PowerShell or Command Prompt inside the Deep Live Cam folder:
```bash
python run.py
```