Byted Las Video Inpaintv1.0.1

A media company wants to clean old videos that have a static watermark in the corner. By specifying fixed_bboxes coordinates, the skill removes the watermark while preserving the rest of the video. This is a common need for video restoration.

A content creator wants to remove hardcoded subtitles from a downloaded video to reuse it in multiple languages. The skill auto-detects subtitle regions and inpaints them, outputting a clean video. This saves manual frame-by-frame editing.

A news agency needs to remove a scrolling ticker from the bottom of a broadcast clip for archival purposes. By setting targets to "scrolling_subtitle", the skill efficiently removes dynamic text overlays. The result is a clean video suitable for repurposing.

A marketing team has dozens of product demo videos with a logo overlay that needs to be removed for a new campaign. The skill's fixed_bboxes parameter allows precise removal of the logo across all videos. This enables reuse of existing assets without re-recording.

A historical archive contains videos with both watermarks and subtitles. The skill can handle multiple targets simultaneously (watermark + subtitle) and automatically inpaint the regions. This restores the original video without manual intervention.

Offer a tiered subscription where users can inpaint a set number of minutes per month. Provide API access for integration into existing workflows.

Charge per video restoration job based on duration and complexity (e.g., duration tiers). Users submit videos via a web interface and pay for each successful inpaint.

License the skill as a white-label solution for video editing software companies or cloud platforms. Integrate via API and allow rebranding.