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Openai/69717abe-508c-8009-a527-9071fdb25608
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==== Local / open-source (maximum control, GPU setup required) ==== If you want the most control (and don’t mind technical setup), these are popular: * Wav2Lip (open source) Classic “lip-sync any video to any audio” pipeline. Lots of community tooling and forks (including higher-fidelity variants). GitHub<ref>{{cite web|title=GitHub|url=https://github.com/Rudrabha/Wav2Lip|publisher=github.com|access-date=2026-01-22}}</ref> Nice bonus: there’s a ComfyUI node for Wav2Lip if you like node-based workflows. GitHub<ref>{{cite web|title=GitHub|url=https://github.com/ShmuelRonen/ComfyUI_wav2lip|publisher=github.com|access-date=2026-01-22}}</ref> * Rhubarb Lip Sync (open source, 2D mouth shapes) This generates mouth animation data from audio (commonly for 2D/rigged workflows, not direct photoreal video). GitHub<ref>{{cite web|title=GitHub|url=https://github.com/DanielSWolf/rhubarb-lip-sync|publisher=github.com|access-date=2026-01-22}}</ref> When these shine: cost, privacy, repeatability, and “knobs” (you can iterate, batch, integrate into pipelines). Tradeoff: you’ll spend time on environment setup, face tracking edge-cases, and quality tuning.
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