faceswap

Learn how the Faceswap preview system toggles masks during training using a thread-safe buffer. View raw faces, masked faces, and predicted masks in real-time without interrupting the training loop.

Discover how the coverage ratio in Faceswap model training shapes facial detail versus contextual smoothness in your deepfake output.

Learn how FaceSwap's MediaLoader pipeline efficiently loads and processes video frames using OpenCV and NumPy arrays for deepfake creation. Explore frame abstraction and background threading.

Compare FaceSwap multi-process vs single-process mode. Maximize throughput with concurrent processing or minimize VRAM with sequential execution. Understand the performance impact and resource trade-offs.

Learn about FaceSwap re-feed and re-align options for stabilized and accurate landmark alignment in face extraction. Improve your results today.

Master the Faceswap GUI for training and conversion. This complete guide walks you through the workflow for effortless deepfake creation using the intuitive visual interface.

Explore Faceswap's GPU detection and monitoring API. Dynamically supports Nvidia CUDA, AMD ROCm, Apple Silicon, and CPU-only environments via the unified GPUStats interface.

Learn what save_interval is in Faceswap training. Discover how model checkpointing saves your progress every 250 iterations reducing data loss and ensuring continuity.

Master Faceswap training by configuring preview with -p and timelapse with input/output paths. Learn this essential skill for deepfakes efficiently.

Explore FaceSwap centering modes legacy face and head to optimize your training images. Understand how nose tip face geometry and full skull alignment affect context.

Learn how the Faceswap model backup and restore system automatically backs up models and provides CLI tools for restoration and snapshots.

Explore normalization methods for face extraction in Faceswap including none clahe hist and mean. Optimize your image preprocessing with this complete guide.