Upscaling Videos Using VSGAN and TensorRT

In a digital era where video quality is paramount, VSGAN offers a comprehensive guide to video upscaling using super resolution models and video frame interpolation, with a focus on achieving swift and high-quality results. The process requires setting up SSH keys on Runpod and ensuring CUDA 12+ compatibility for the VSGAN docker repository. The guide emphasizes selecting the right GPU, such as the RTX 3090 or RTX 4090, to maximize the performance boost provided by TensorRT. It provides a step-by-step approach to setting up terminal access, downloading and converting models to ONNX, and ultimately, creating engine models optimized for specific GPU environments. The upscale process involves editing configuration files and using tools like Tmux to run tasks in the background, ensuring continuity even if SSH is disconnected. By following these instructions, users can efficiently upscale videos, leveraging the power of VSGAN and TensorRT to produce stunning visual results, and are encouraged to experiment and share their findings with the community.