AI Face Swap
Leading open-source local AI face swapper, lip-syncer, and 4K portrait enhancer with CUDA, CoreML, and DirectML GPU acceleration.
FaceFusion is the flagship open-source next-generation face swapping, expression restoration, and lip-syncing pipeline built for creators and studios who require frame-accurate video control, occlusion masking, and 100% offline local privacy.
yoloface / retinaface), identity swapping (inswapper_128 / simswap / blendswap), face enhancement (gfpgan_1.4 / codeformer), and lip-sync (wav2lip / edtalk).এই টুলের ট্রাফিক, র্যাঙ্কিং ও এনগেজমেন্টের সংকেত।
এখনও কোনো অ্যানালিটিক্স ডেটা নেই
FaceFusion is a free, open-source Python & ONNX desktop/server pipeline on GitHub—there is no single subscription required when running locally. If you don't have a dedicated GPU or want instant browser face swapping without installing CUDA/FFmpeg, check cloud alternatives like Remaker AI, Akool, or Pinokio/RunPod templates in our AI Face Swap Guide.
An NVIDIA RTX GPU with at least 8 GB VRAM (RTX 3060 / 4060 or higher, 12 GB+ recommended when stacking `inswapper_128` / `hyperswap` with `gfpgan_1.4` or `codeformer` face enhancers and 1080p60 video) plus 16 GB+ system RAM delivers fast CUDA/TensorRT rendering; Apple Silicon Macs also work via CoreML.
Enable the `face_enhancer` processor (`gfpgan_1.4` or `codeformer` at 0.65–0.80 blend), switch Face Mask Types from `box` alone to `box + occlusion` (`xseg`), and raise Face Detector Score slightly so side-profile frames stay locked cleanly.
FaceFusion includes built-in content safety checks and is intended strictly for consenting talent, VFX post-production, localization dubbing (`lip_syncer`), and creative media—never for non-consensual impersonation or deceptive deepfakes.
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