How to Swap Face in Videos & Images using Deepfake AI

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This blog is going to be very interesting. What if I say you that you can swap faces in videos. Not only videos, but images also. Isn’t that amazing? Imagine surprising your friends, families, or even social media followers with hilarious facewap videos. The reaction you will get will be priceless. This method of implementing face swap can be done in Google Collab without a need of any software or apps, you just need a browser.

Introduction to Deepfake AI

Deepfake AI utilizes deep learning algorithms, particularly Generative Adversarial Networks (GANs), to manipulate visual and audio content. These algorithms are capable of synthesizing realistic images, videos and audio recordings that mimic the appearance and speech patterns of real individuals. While Deepfake technology has got attention for its potential in entertainment and creative expression, it also raises concerns about its misuse for spreading disinformation and manipulating digital content.

Getting Started with Face Swapping

To demonstrate the process of face swapping, we’ll be using a Deepfake AI tool called “roop”. This tool/git repo provides pre-trained models for swapping faces in videos and images. Here’s a step-by-step guide to getting started:

Step 1: Clone the “roop” Repository and Install Dependencies

First, we need to clone the “roop” repository from GitHub and install the necessary dependencies. This can be done easily in Google Colab using the provided code snippet:

!git clone https://github.com/s0md3v/roop.git
%cd roop
!pip install -r requirements.txt

Step 2: Download Pre-trained Model

Next, we’ll download a pre-trained model for face swapping. The model we’ll be using is hosted on the Hugging Face model hub and can be downloaded with the following command:

!wget https://huggingface.co/ezioruan/inswapper_128.onnx/resolve/main/inswapper_128.onnx -O inswapper_128.onnx
!mkdir models
!mv inswapper_128.onnx ./models

Step 3: Enable GPU Support

To accelerate the face swapping process, we can utilize GPU support. We’ll need to install the necessary packages and configure the execution provider accordingly:

!pip uninstall onnxruntime onnxruntime-gpu -y
!pip install torch torchvision torchaudio --force-reinstall --index-url https://download.pytorch.org/whl/cu118
!pip install onnxruntime-gpu

Step 4: Perform Face Swapping

Now that we have everything set up, we can proceed to perform face swapping on our desired video or image. We’ll specify the target video or image and the source image whose face we want to swap. Additionally, we’ll specify the output path for the swapped result:

For Swapping Face in Video: Make sure you replace the target paths with your assets.

!python run.py --target /content/video.mp4 --source /content/image.jpg -o /content/swapped.mp4 --execution-provider cuda --frame-processor face_swapper

For Swapping Face in Image: Make sure you replace the target paths with your assets.

!python run.py --target /content/image.jpg --source /content/image.jpg -o /content/swapped.jpg --execution-provider cuda --frame-processor face_swapper

Conclusion

In this blog post, we’ve explored the fascinating world of Deepfake AI and demonstrated how to swap faces in videos and images using the “roop” tool. You can use my Google Collab Notebook.

Also read – How to Create Android Apps using ChatGPT and Earn Money Online For Free