β‘ Local AI Face Swap Toolkit for PC (Windows 10/11)
Official Hugging Face Hub repository for verified local, zero-cloud AI face swap launch scripts, PyTorch VRAM memory containment patches, and hardware execution configurations.
π Official Documentation & Hardware Benchmarks
This toolkit is the open-source companion repository for the in-depth studio guide:
π Read the Full Studio Engineering Manual on PiximFix: 5 Best Local Face Swap Software for PC (2026)
The complete guide provides verified UI walkthroughs, CUDA/DirectML runtime flags, VRAM memory graphs, and comparative benchmarks across:
- FaceFusion 3.9 β Universal local face swapping with real-time preview and frame processors.
- VisoMaster (Rope-Next) β High-speed video timeline scrubbing with sub-frame temporal alignment.
- Swapface β Zero-latency streaming face replacement with virtual camera DirectShow emulation.
- ComfyUI ReActor β Modular node-based latent face swapping for Stable Diffusion / SDXL.
- DeepFaceLab (DFL) β Cinema-grade SAEHD neural training with custom XSeg mask editing.
π οΈ VRAM & GPU Hardware Requirements
| Software | Minimum VRAM | Recommended GPU | Key Execution Engine | Cloud Dependency |
|---|---|---|---|---|
| FaceFusion 3.9 | 4 GB | RTX 3060 12GB | ONNX Runtime (CUDA / DirectML) | β Zero (100% Offline) |
| VisoMaster | 6 GB | RTX 3070 8GB | PyTorch / InsightFace | β Zero (100% Offline) |
| Swapface | 4 GB | RTX 2060 6GB | Proprietary Local Runtime | β Zero (100% Offline) |
| ComfyUI ReActor | 4 GB | RTX 3060+ | PyTorch + ReActor Node | β Zero (100% Offline) |
| DeepFaceLab | 8 GB | RTX 3080 / 4080 | TensorFlow CUDA / CUDNN | β Zero (100% Offline) |
π§ Essential CUDA Memory Fixes
1. PyTorch CUDA Out-Of-Memory (OOM) Prevention
When processing high-resolution frames (1080p / 4K) in local pipelines, set this environment flag before starting your Python runtime:
set PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True
set CUDA_MODULE_LOADING=LAZY
2. InsightFace Buffalo_L Model Cache
If your local face analyzer fails on first launch due to proxy or network timeouts, manually verify model weights are placed in:
%USERPROFILE%\.insightface\models\buffalo_l\
For complete step-by-step troubleshooting, consult the Troubleshooting Matrix on PiximFix.
π¦ Companion Repository & Scripts
All 1-click batch launcher scripts (.bat) are mirrored on GitHub:
π GitHub: piximfix/local-face-swap-toolkit
Maintained by Roshan Roy β’ PiximFix