clean-vid
Remove video watermarks and objects with LaMa neural inpainting.
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- Updated Jun 2, 2026
Remove video watermarks and objects with LaMa neural inpainting.
This skill uses LaMa-based inpainting to remove corner watermarks, logos, date stamps, microphones, and other tracked objects from MP4 videos while leaving audio untouched. It can process folders and skip completed files, but is tested on macOS, needs ffmpeg plus Python and a model download, and cannot handle large-area or audio watermarks.
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Download audio from one Bilibili video or an uploader's full catalog.
Public GitHub facts last synced Jul 10, 2026.
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