Upscale videos via Topaz and SeedVR2 backends with profile-based enhancements.
npx skills add https://github.com/wells1137/media-skills --skill video-upscaler
Please help me install this Agent Skill. Skill: video-upscaler Source: https://github.com/wells1137/media-skills/tree/main/skills/video-upscaler Command: npx skills add https://github.com/wells1137/media-skills --skill video-upscaler
Automatically upscale and enhance low-quality videos to cinema-grade clarity using a multi-model AI backend.
Use Case: A creator wants to upscale a 1080p footage to 4K with stable frame rate for a trailer.
Provide a sample video URL and select a profile to start the upscaling.
High-intent search queries and answers about installing and using this skill.
To upscale a video to 4K using AI, provide an input video URL and select a pre-configured 4K profile. The system routes the request to a suitable AI model like Topaz or SeedVR2 asynchronously and returns the final 4K video URL.
Yes, AI can enhance video frame rate to 60 FPS by applying a pre-configured 60 FPS profile to your input video URL. The backend processes the request asynchronously to interpolate frames and returns the final smooth video URL.
Asynchronous video upscaling handles long-running video enhancement tasks without blocking the agent. You submit an input video URL and profile, and the system processes the request in the background before returning the final enhanced video URL.
Yes, the video upscaler supports both consumer and professional video files requiring quality improvements. It applies multi-model AI backends like Topaz and SeedVR2 to enhance clarity, upscale resolution, and stabilize frame rates.
The best way to improve low-quality footage for a cinematic trailer is to use a multi-model AI backend. Provide your video URL and choose profiles for 4K upscaling or 60 FPS frame-rate enhancements to achieve cinema-grade clarity.
Asynchronous video enhancement requires a specific profile because it dictates the AI model routing and target output settings, such as 2x or 4K upscaling. This ensures the backend applies the correct processing parameters to your input video URL.
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