| | Official Link : Nvidia docs NVIDIA RTX 2-Pass Upscaler (4GB VRAM + 8GB RAM) Post: Hi everyone! Recently, while working on AI videos with the LTX2.3 model, I started thinking a lot about upscaling efficiency, so I made my own RTX Upscale node for ComfyUI. In the existing ComfyUI setup, most workflows mainly used Video Super Resolution (VSR), but NVIDIA RTX upscaling actually has four different options. I implemented all four of them in this node. After testing it myself, I honestly no longer feel a need to subscribe to Topaz AI. – DeBlur: The most effective option for sharpening blurry videos, especially AI-generated videos. – DeNoise: Helps clean up noisy footage. For AI videos, I recommend using it selectively. – High Bitrate: Good for improving the quality of cleaner source videos. – Video Super Resolution (VSR): The standard method that was commonly used before. The main idea I applied is a 2-step upscaling method. First, DeBlur is used to sharpen the video, and then High Bitrate or VSR is applied as the second pass. In my tests, this produced much better results. Performance and requirements: – On an RTX 5090, upscaling a 512×512 video to 1024×1024 takes about 5 seconds. – For Low RAM / Low VRAM environments, I made a Batch image workflow. With this method, most low-spec systems can usually finish the upscaling within about 1-2 minutes. – When using the Batch image method, the requirement is around 10GB RAM and 4GB VRAM. Existing NVIDIA RTX Super Resolution nodes were very difficult to install because the backend setup often caused errors. So I prepared an install_rtx_vfx helper to make the backend installation as close to one-click as possible. Installation:
For detailed usage, please check the tutorial and workflow links below. Link : WorkFlow Link : Tutorial ㅡㅡㅡㅡㅡㅡㅡㅡㅡㅡㅡㅡㅡㅡㅡㅡㅡㅡㅡㅡㅡㅡㅡㅡㅡ First, completely close ComfyUI. This means closing not only the browser tab, but also the ComfyUI command window, cmd, PowerShell, or any terminal window that is running ComfyUI. Download the installer from the official DENO GitHub repository: After downloading the zip file, extract it first. Do not run the .bat file directly from inside the zip file. After extraction, you will see this file: install_rtx_vfx.bat Copy or move this file into the tools folder of your installed DENO custom nodes: ComfyUIcustom_nodesdeno-custom-nodestools For example, the final location should look similar to this: D:ComfyUIcustom_nodesdeno-custom-nodestoolsinstall_rtx_vfx.bat Important: Do not run install_rtx_vfx.bat from your Downloads folder. It must be placed inside: ComfyUIcustom_nodesdeno-custom-nodestools Once the file is in the correct tools folder, double-click install_rtx_vfx.bat to run it. If Windows shows a security warning, click “More info” and then “Run anyway.” When the installer shows the ComfyUI Python path, check that it points to the python_embededpython.exe used by the ComfyUI you just closed. If the path looks correct, type: Y and press Enter. This installer installs NVIDIA’s official nvidia-vfx Python package from NVIDIA’s official package server, pypi.nvidia.com. It does not download random DLL files. When you see a green “INSTALL COMPLETE” message or “[OK] NVIDIA RTX VFX is installed,” the installation is complete. After that, restart ComfyUI and search for: (Deno) RTX Video Super Resolution Notes: – You need an NVIDIA RTX GPU. – Please use the latest NVIDIA driver. – macOS is not supported. – If you do not have the folder ComfyUIcustom_nodesdeno-custom-nodestools, please update DENO custom nodes first through ComfyUI Manager or GitHub, then try again. submitted by /u/Extension-Yard1918 |
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