New ComfyUI node brings 2-pass Nvidia RTX upscaling, rivals Topaz AI
Upscale AI videos with DeBlur then VSR in seconds, even on 4GB VRAM.
Developer Deno released a new custom node for ComfyUI called Deno RTX Video Super Resolution, bringing Nvidia’s hardware-accelerated upscaling to AI video workflows. The node exposes all four Nvidia RTX upscaling modes — DeBlur, DeNoise, High Bitrate, and Video Super Resolution (VSR) — and introduces a novel 2-pass method. The first pass applies DeBlur to sharpen blurry AI-generated footage, followed by a second pass using High Bitrate or VSR for final upscaling. In tests, this sequential approach produced noticeably better results than single-pass VSR, effectively eliminating the need for paid tools like Topaz AI.
Performance is impressive: on an RTX 5090, upscaling from 512x512 to 1024x1024 takes about 5 seconds. For users with limited hardware, a batch image workflow requires only 10GB RAM and 4GB VRAM, completing the same upscale in 1-2 minutes. Installation is streamlined via ComfyUI Manager — search for "deno-custom-nodes" — with an included install_rtx_vfx helper script that automates backend setup, avoiding common errors. For early adopters, manual installation from GitHub is also available. The update is currently rolling out to the ComfyUI registry.
- Four Nvidia RTX upscaling modes (DeBlur, DeNoise, High Bitrate, VSR) with a novel 2-pass approach.
- RTX 5090 completes 2x upscale (512→1024) in ~5 seconds; batch mode works on 4GB VRAM in 1-2 minutes.
- One-click backend installer eliminates common setup errors; available via ComfyUI Manager or GitHub.
Why It Matters
Democratizes high-quality AI video upscaling, reducing reliance on paid tools like Topaz AI.