FIX-LTXVIDEO-KORNIA.bat 4.5 KB
LTX-2-5_ULTRA_WORKFLOW.json 802.8 KB
LTX-2-5-MODELS-NODES_INSTALL-V2.bat 12.1 KB
LTX-2-5-ULTRA-COMFYUI-MANAGER_AUTO_INSTALL-V2.bat 6.9 KB
LTX-2-5-AUTO_INSTALL-RUNPOD-NEW.sh 55.0 KB
August 16, 2026

LTX 2.5 ULTRA WORKFLOW + INSTALLERS

EDIT 3 September:
NEW RUNPOD CUDA 13 TEMPLATE!

I’ve spend the last few days, completely rebuilding my RunPod ComfyUI template from scratch.... The previous template was getting very outdated and was starting to cause problems with newer GPUs, ComfyUI versions and recent workflows, so please use this new template from now on.

The new template uses CUDA 13, supports newer GPUs like the RTX 50 series, comes with SageAttention preinstalled, automatically keeps ComfyUI updated and works with my new RunPod installers.

HOW TO USE THE NEW TEMPLATE

I made a quick video showing exactly how to deploy it and use the installers:

👉 https://youtu.be/9wlUXXyy9mE

👉 RUNPOD TEMPLATE LINK

IMPORTANT: When choosing your GPU, use the CUDA 13.x filter on RunPod

The old RunPod template is now completely retired, so use this one for all new installs going forward.

To use the installer use this command:

bash "LTX-2-5-AUTO_INSTALL-RUNPOD-NEW.sh"

I WILL SPEND THE NEXT FEW DAYS UPDATING ALL PREVIOUS RUNPOD INSTALLERS TO THE NEW TEMPLATE SO IF THERE IS AN INSTALLER THAT I FORGOT LET ME KNOW.





Hey everyone! LTX 2.5 was released as well, and yes… I DID make the new workflow and installers for it!

But after testing both models extensively, I decided NOT to make a separate video on LTX 2.5 this time.

Why? Because MiniMax H3 is simply SO MUCH BETTER right now.

LTX 2.5 is still fast, useful and very similar to LTX 2.3, but compared to what MiniMax H3 can do with references, audio, image editing, Turbo generation and now even the new MiniMax H3 Studio… it just didn’t feel worth making another full video about it.

So instead, I’m giving you everything directly here!

And if you haven’t watched my new MiniMax H3 video yet… GO WATCH THAT INSTEAD

It’s easily the more exciting model right now: https://youtu.be/ekOy2INIdfQ

MINIMAX H3 V2 WORKFLOW: https://www.patreon.com/aitrepreneur/posts/166853455
MINIMAX H3 V2 INSTALLERS: https://www.patreon.com/aitrepreneur/posts/166853464

Down below you will find the LTX-2-5_ULTRA_WORKFLOW.json and the installers!

LOCAL INSTALL!!! RECOMMENDED TO START FROM SCRATCH

Download the LTX-2-5-ULTRA-COMFYUI-MANAGER_AUTO_INSTALL.bat

Run the bat file

Wait for the install to finish

The webui will launch, load the LTX-2-5_ULTRA_WORKFLOW.json file and there you go😎

DON'T FORGET TO GO UPDATE COMFYUI BY GOING INSIDE THE UPDATE FOLDER AND RUNNING THE COMFYUI UPDATE BAT FILE THEN CHOOSING THE CORRECT LAUNCHER FOR YOUR GPU!!

IF YOU ALREADY HAVE COMFYUI INSTALLED USING A PREVIOUS INSTALLER:

Download the LTX-2-5-MODELS-NODES_INSTALL.bat and place it in the ComfyUI_windows_portable\ComfyUI folder

Run the bat file

Wait for the install to finish

???

Profit 😎


IF YOU HAVE ISSUES with the ComfyUI-LTXVideo, you can use the new FIX-LTXVIDEO-KORNIA.bat file and put it in your ComfyUI_windows_portable folder, next to your run_nvidia_gpu.bat file, run it and it should fix the issues with the node at least until the node receives an update.

IF YOU GET AN ERROR WHEN LAUNCHING COMFYUI AFTER USING THIS INSTALLER SAYING "AssertionError: Torch not compiled with CUDA enabled" it's ok don't panic.

Just go inside the python embedded folder, click on the folder path, type cmd press enter, this will bring the command prompt window and there type:

python.exe -m pip uninstall torch

python.exe -s -m pip install --upgrade torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu128

--->replace cu128 by your cuda version (if you don't know your cuda version just open a new cmd window and type nvcc --version it will then tell you at the end Cuda compilation tools, release 12.8, V12.8.93 or something different like 12.6, in that case just use cu126 instead of cu128)


IF YOU ARE USING RUNPOD:

Create an account if you haven't already: Runpod

When selecting your GPU on RunPod, make sure you click on Additional Filters → CUDA Versions → CUDA 13.0

Then choose a GPU, click here for the comfyui template (aitrepreneur/comfyui:3.0.1-cuda13)

Then click deploy, wait for everything to finish and then click on port 8888 and then drag and drop the LTX-2-5-AUTO_INSTALL-RUNPOD-NEW.sh file on the left side of the UI then click on the "Terminal" icon on the right side on the UI

Copy and paste this line then press enter:

bash "LTX-2-5-AUTO_INSTALL-RUNPOD-NEW.sh"

Wait for everything to be installed

Then go to the port 8188

Load the LTX-2-5_ULTRA_WORKFLOW.json workflow and there you go😎

Also use the command:

tail -f comfyui.log

inside the workspace/logs to get the real time logs

As always, supporting me on Patreon allows me to keep creating helpful resources like this for the community. Thank you for your support - now go have some fun😉!