I am currently subscribed to and using Codex.
What are the advantages of using it?
I have already integrated Discord and Telegram through Codex and am using them.
On the surface, there doesn't seem to be any difference. Is there anything I might be missing?
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
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.
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.
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.
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.
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.