LujiaJin/FlashVSR-Pro

Production-ready FlashVSR implementation featuring Docker support, NVENC hardware acceleration, Low-VRAM tiling, and unified inference for real-time video super-resolution.

42
/ 100
Emerging

This project helps video professionals and content creators enhance standard-definition video footage into higher resolutions in real time. It takes your existing lower-quality video files and outputs significantly sharper, more detailed versions, ideal for remastering old content or improving live streams. Video editors, archival specialists, and broadcasters who need to upgrade video quality without extensive manual work will find this useful.

Use this if you need to quickly and efficiently upscale videos, especially long or high-resolution footage, and have access to powerful NVIDIA GPUs.

Not ideal if you primarily work on macOS or do not have access to an NVIDIA GPU with strong CUDA support.

video-editing video-remastering broadcast-media content-creation digital-archiving
No Package No Dependents
Maintenance 10 / 25
Adoption 5 / 25
Maturity 13 / 25
Community 14 / 25

How are scores calculated?

Stars

13

Forks

3

Language

HTML

License

Apache-2.0

Last pushed

Mar 02, 2026

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/generative-ai/LujiaJin/FlashVSR-Pro"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.