u/Extension-Yard1918

I added a small visual organization feature to Deno Custom Nodes called DENO Visual Fold.

After updating to the latest version, the feature is enabled automatically. When you select multiple nodes, a green Fold button appears near the top-right of the canvas. Pressing it collapses the selected nodes into one compact visual group, and you can unfold them again later.

This is not meant to replace ComfyUI Subgraph. Subgraph is powerful, but because it moves nodes into a child graph, it may not always be ideal for workflows that rely on keeping Get / Set nodes or parent-child graph structure visible in the main graph.

Visual Fold is only for simple visual cleanup. It does not turn the selected nodes into a subgraph or change the workflow logic. I made it for cases where you just want to tidy up a busy workflow without restructuring it.

GitHub: https://github.com/Deno2026/comfyui-deno-custom-nodes

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 512x512 video to 1024x1024 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:

1. Open ComfyUI Manager → Custom Node Manager, then search for deno-custom-nodes and install it.
2. Important: Completely close ComfyUI before running the installer. If ComfyUI is still running, the installation may not proceed.
3. Go to ComfyUI/custom_nodes/deno-custom-nodes/tools.
4. Run install_rtx_vfx.bat → wait for the installation complete message, then close the window. It usually takes about 30 seconds to 1 minute.
5. Restart ComfyUI and run the Deno RTX Video Super Resolution (2 Pass) node.

For detailed usage, please check the tutorial and workflow links below.

Link : WorkFlow

Link : Tutorial

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The DENO RTX Video Super Resolution update is currently being rolled out to ComfyUI Manager / Registry, so it may take a few hours before it appears for everyone. If you want to test it early, please follow the manual installation steps below.

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:

https://github.com/Deno2026/comfyui-deno-custom-nodes/raw/refs/heads/main/tools/install_rtx_vfx_bat.zip

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:

ComfyUI\custom_nodes\deno-custom-nodes\tools\

For example, the final location should look similar to this:

D:\ComfyUI\custom_nodes\deno-custom-nodes\tools\install_rtx_vfx.bat

Important:

Do not run install_rtx_vfx.bat from your Downloads folder. It must be placed inside:

ComfyUI\custom_nodes\deno-custom-nodes\tools\

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_embeded\python.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 ComfyUI\custom_nodes\deno-custom-nodes\tools, please update DENO custom nodes first through ComfyUI Manager or GitHub, then try again.

Result created with RTX 3060

WorkFlow

I made a ComfyUI workflow for running LTX2.3 on an 8GB VRAM setup.

The workflow was tested on an older gaming PC with an RTX 3060 Ti, because I noticed that many people assume LTX video generation is only possible on very high-end GPUs.

The goal is not to push maximum resolution in one pass, but to make the process more stable for low VRAM users.

Basic idea:

- Generate the first video at a safer resolution

- Keep the base generation at 24fps

- Use frame interpolation later if needed

- Run upscaling as a separate step instead of doing everything at once

- Supports both text to video and image to video

- For character or portrait videos, image to video usually gives more consistent results

It is more like a practical low VRAM starting point for people who want to experiment with LTX2.3 without upgrading their whole PC first.

If you test it on another 8GB GPU, I’d be interested to hear what settings worked best for you.

I released a new LTX-focused update for Deno Custom Nodes for ComfyUI.

This update is mainly for people who want a cleaner and more beginner-friendly LTX 2.3 workflow. It adds helper nodes for model loading, LoRA management, prompt conditioning, model downloading, and multi-image sequencing.

Repository:

https://github.com/Deno2026/comfyui-deno-custom-nodes

1. (Deno) LTX Model Loader

A compact model loader for common LTX 2.3 setups.

It supports:

- Checkpoint Style

- KJ Style

- GGUF Style

The goal is to reduce the number of separate loader nodes needed in beginner workflows, while keeping the internal behavior close to the original ComfyUI, KJNodes, and ComfyUI-GGUF loading paths.

2. (Deno) LTX Multi LoRA Loader

A multi-LoRA loader designed specifically for LTX workflows.

It is inspired by the compact workflow style of rgthree's Power Lora Loader, but adds LTX-friendly controls:

- Overall strength

- Video strength

- Audio strength

This is useful when a LoRA affects motion, voice, lip sync, or audio/video behavior differently.

3. (Deno) LTX Prompt Guide

A prompt helper node for dialogue-based LTX videos.

It combines positive prompt encoding, optional negative prompt handling, built-in LTX conditioning, and dialogue-length estimation into one cleaner node.

Quoted text is treated as dialogue, and the node estimates the minimum video length needed to naturally include the spoken part.

This does not decide the final video length for you. It is just a guide to help avoid making a video that is too short for the amount of dialogue.

4. (Deno) LTX 8GB VRAM Model Downloader

A beginner-friendly downloader for the LTX 2.3 8GB VRAM GGUF starter model set.

You choose your ComfyUI models folder, and the node downloads the required files into the correct subfolders.

Existing complete files are skipped automatically.

5. (Deno) LTX Sequencer

A multi-image LTX guide sequencer.

Credit: This node was inspired by WhatDreamsCost's LTX workflow approach, with Deno-side adjustments focused on day-to-day usability.

It works well with the Deno Multi Image Loader and can automatically sync the number of image guide controls when possible.

The new bypass switch lets you temporarily disable image guide insertion and pass positive, negative, and latent through unchanged. This makes A/B testing much easier.

Install:

Option 1: ComfyUI Manager

Search for:

Deno Custom Nodes

Note: registry updates may take some time to become active after a new release.

Now V 0. 4 . 2

Option 2: GitHub

Clone into your ComfyUI custom_nodes folder:

git clone https://github.com/Deno2026/comfyui-deno-custom-nodes.git

Documentation was written with help from ChatGPT for translation and editing.