Video Upscaler
Enhances and upscales video content to cinematic quality using professional AI models like Topaz and SeedVR2.
The Video Upscaler skill empowers developers and creators to transform low-resolution or noisy footage into high-quality, professional video directly through Claude Code. By abstracting the complexity of high-end AI models such as Topaz Proteus and SeedVR2, it provides a streamlined workflow for 4K upscaling, frame rate interpolation to 60 FPS, and cinematic enhancement. Whether you are optimizing AI-generated content or restoring legacy footage, this skill automates model selection and job management, delivering crisp results without requiring deep technical knowledge of video processing parameters.
Key Features
01Support for web-optimized H264 output for social media and web publishing
02Intelligent model selection based on content type and desired output quality
03Pre-configured profiles for 4K cinematic conversion and 60 FPS frame boosting
04Multi-model routing between Topaz, SeedVR2, and other leading AI backends
0525 GitHub stars
06Asynchronous job processing to handle long-running video tasks without blocking
Use Cases
01Converting standard definition or AI-generated videos into high-fidelity 4K cinematic content
02Optimizing video assets for social media platforms using web-ready profiles
03Enhancing sports or action footage with smooth 60 FPS frame interpolation