This is a simplified guide to an AI model called Sora2-Watermark-Remover maintained by Uglyrobot. If you like these kinds of analysis, you should join AImodels.fyi or follow us on Twitter.
Model overview
The sora2-watermark-remover model developed by uglyrobot provides a solution for removing watermarks from videos generated by OpenAI's Sora 2 system. Unlike general video editing tools such as propainter which handles broader object removal tasks, this model targets the specific watermark patterns found in sora-2 and sora-2-pro generated content. The model combines a custom-trained YOLOv11s detection system with the LAMA inpainting algorithm to identify and cleanly remove watermarks while preserving video quality.
Model inputs and outputs
The model processes video files through a two-stage approach that first detects watermark locations and then removes them using advanced inpainting techniques. Users can specify custom output filenames for their processed videos.
Inputs
- video: The video file containing Sora 2 watermarks that need removal
- output_filename: Optional custom filename for the cleaned video output
Outputs
- Cleaned video file: A processed video with watermarks removed, maintaining the original video quality and content
Capabilities
This model excels at detecting and rem...
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