Deep Live Cam is an innovative tool that allows users to swap faces and create engaging video deepfakes with just a single click and one image. This guide will walk you through the installation and usage of Deep Live Cam while also touching on troubleshooting tips for any issues you might encounter along the way.

Features of Deep Live Cam

• Resizable Preview Window: Improve performance with the –live-resizable parameter.
• Face Mapping: Track and change faces in real-time.

This software is designed to help artists efficiently animate custom characters or enhance clothing models while adhering to ethical practices in AI-generated media.

Quick Start with Deep Live Cam

To get started with Deep Live Cam, follow these simple instructions:

Installation

Here are the basic steps to install Deep Live Cam using a CPU setup:

1. Set Up Your Platform:
   • Python (3.10 recommended)
   • pip
   • git
   • [ffmpeg](https://www.youtube.com/watch?v=OlNWCpFdVMA)
   • [Visual Studio 2022 Runtimes (Windows)](https://visualstudio.microsoft.com/visual-cpp-build-tools)
2. Clone the Repository:

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

3. Download Models:
   1. [GFPGANv1.4](https://huggingface.co/hacksider/deep-live-cam/resolve/main/GFPGANv1.4.pth)
   2. [inswapper_128_fp16.onnx](https://huggingface.co/hacksider/deep-live-cam/resolve/main/inswapper_128_fp16.onnx) – Use [this replacement version](https://github.com/facefusion/facefusion-assets/releases/download/models/inswapper_128_fp16.onnx) if you encounter issues.

   Place these files into the models folder.

4. Install Dependencies:

   pip install -r requirements.txt

5. Run the Application: If you don’t have a GPU, execute:

   python run.py

   Note that the initial execution will download models (~300MB).

Using Deep Live Cam

Image/Video Mode

1. Execute python run.py.
2. Select a source face image and a target video/image.
3. Click Start and check the output in the designated directory.

Webcam Mode

1. Execute python run.py.
2. Select a source face image.
3. Click Live and wait for the preview (10-30 seconds).
4. Capture with a tool like OBS and change the face as needed.

Understanding the Code: An Analogy

Imagine you have a complex cooking recipe that involves several steps, ingredients, and tools. Each part of the code is like a different part of the recipe. You have your setup (ingredients), cloning the repository (getting your cooking tools), and downloading models (gathering your special spices). Running the application is like starting to cook – you mix everything together and watch as your dish transforms into something delicious. Each command serves a distinct purpose like each step in the recipe, and if you follow them correctly, you will enjoy the finished product!

Troubleshooting

If you face any hurdles, here are a few troubleshooting ideas:

• Check if you have installed the correct version of CUDA. Follow steps to install CUDA Toolkit 11.8 if needed.
• Ensure that all downloads were successful and files are placed in the right directories.
• For webcam support on WSL2, ensure you followed each step in the kernel rebuilding process accurately.
• If you encounter the error [ONNXRuntimeError] : 1 : FAIL : Failed to load library [libonnxruntime_providers_cuda.so], verify your CUDA Toolkit installation.

For more insights, updates, or to collaborate on AI development projects, stay connected with fxis.ai.

Final Thoughts

Remember to use the Deep Live Cam responsibly. Obtain consent if using real people’s faces and clearly label any output as deepfake when sharing. We are committed to ensuring ethical practices and will shut down or watermark the project if required.

At fxis.ai, we believe that such advancements are crucial for the future of AI, as they enable more comprehensive and effective solutions. Our team is continually exploring new methodologies to push the envelope in artificial intelligence, ensuring that our clients benefit from the latest technological innovations.