: CUDA-enabled NVIDIA card or DirectML-compatible hardware with a minimum of 6 GB VRAM.
Run git clone on the official repository and execute the setup script ( python setup.py or double-clicking run.bat on Windows). The installer automatically fetches necessary pre-trained weight models like INSWAPPER and GFPGAN. Step-by-Step Workflow AI FaceSwap 2.2.0
AI FaceSwap 2.2.0 focuses on automation and processing fidelity, reducing the manual tweaking required in older builds. AI FaceSwap 2.2.0
AI FaceSwap 2.2.0: The Evolution of Seamless Digital Facial Replacement AI FaceSwap 2.2.0