DeepFaceLab is a deep learning tool for replacing faces in video. It’s widely used for research, experimentation, and video editing workflows that require detailed control over training, masking, and final compositing.
What DeepFaceLab does
- Swap one person’s face onto another person in a video
- Create realistic results using deep learning–based face synthesis
- Support multiple model architectures, including SAE, H128/H64, LIAEF128, and XSeg
Core workflow and features
- Data preprocessing: automatic face detection, cropping, alignment, and normalization
- Training: train your own models on your datasets (GPU recommended due to high compute needs)
- Masking: create and edit masks to define the exact replacement area
- Post-processing: smooth transitions, color correction, and quality improvements after the swap
How it’s typically used
DeepFaceLab is operated from the command line. You prepare the source and target videos, place them in the workspace folder, and run the provided .bat scripts step by step. During processing, it may prompt for settings such as frame rate and video resolution. System requirements include at least 8 GB of RAM.
