ComfyUI-RT-LTX2-RareTools

Name: ComfyUI-RT-LTX2-RareTools
Author: monnky

Experimental ComfyUI custom nodes for LTXV2 model with support for Gemma models. Tutorial available at https://www.youtube.com/@raretutor

VRAM Requirements

Direct Answer: The ComfyUI node ComfyUI-RT-LTX2-RareTools requires a minimum base VRAM of 256MB and is optimized for GPUs with at least 4GB of VRAM. Low VRAM mode is fully supported for resource-constrained setups.

High (2-4GB)

Base VRAM:: 256MB (0.3GB)
Recommended GPU:: 4GB+ VRAM
Low VRAM Mode:: ✓ Supported
Estimation Confidence:: HIGH

🧮 Interactive VRAM Compatibility Estimator

1. Your GPU VRAM:

2. Base Model Weight:

3. Target Resolution:

4. ComfyUI Optimization launch argument:

Estimated Total VRAM: 3.00 GBTarget: 8 GB

✅ Comfortable Fit

Your GPU has plenty of headroom. You can run this node safely with your active configurations!

Deploy on High-Performance GPUs

Need more VRAM to run ComfyUI with this node? Rent low-cost, high-performance GPUs on Vast.ai instantly.

🚀 Deploy on Vast.ai

Deploy on Cloud GPUs

Need more VRAM to run ComfyUI with this node? Rent low-cost, high-performance cloud GPUs on RunPod instantly.

🚀 Deploy on RunPod

Python Dependencies

Direct Answer: Running ComfyUI-RT-LTX2-RareTools requires installing the following Python package dependencies: imageio, imageio-ffmpeg, json-repair. Ensure your ComfyUI environment has these packages active before launching.

requirements.txt

imageio
imageio-ffmpeg
json-repair

🛠️ Interactive Setup & Dependency Resolver

Operating System:

Environment Type:

Run this terminal command in your ComfyUI root folder:

# Loading command...