Instructions to use RuneXX/LTX-2-Workflows with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LTX.io
How to use RuneXX/LTX-2-Workflows with LTX.io:
# Install the LTX-2 pipelines git clone https://github.com/Lightricks/LTX-2.git cd LTX-2 uv sync --frozen
# Download the weights from this repo, plus the Gemma text encoder hf download RuneXX/LTX-2-Workflows --local-dir models/LTX-2-Workflows hf download google/gemma-3-12b-it-qat-q4_0-unquantized --local-dir models/gemma-3-12b
# Fast pipeline (distilled model, no distilled LoRA needed) uv run python -m ltx_pipelines.distilled \ --distilled-checkpoint-path models/LTX-2-Workflows/<distilled-checkpoint>.safetensors \ --spatial-upsampler-path models/LTX-2-Workflows/<spatial-upsampler>.safetensors \ --gemma-root models/gemma-3-12b \ --prompt "A beautiful sunset over the ocean" \ --output-path output.mp4 # For image-to-video, add: --image path/to/image.jpg 0 0.8# HQ pipeline (two-stage, higher quality) uv run python -m ltx_pipelines.ti2vid_two_stages_hq \ --checkpoint-path models/LTX-2-Workflows/<checkpoint>.safetensors \ --distilled-lora models/LTX-2-Workflows/<distilled-lora>.safetensors 0.8 \ --spatial-upsampler-path models/LTX-2-Workflows/<spatial-upsampler>.safetensors \ --gemma-root models/gemma-3-12b \ --prompt "A beautiful sunset over the ocean" \ --output-path output.mp4 # For image-to-video, add: --image path/to/image.jpg 0 0.8 - Notebooks
- Google Colab
- Kaggle
Strange output

i'm using this workflow
https://huggingface.co/RuneXX/LTX-2-Workflows/blob/main/LTX-2%20-%20I2V%20Basic%20(GGUF).json
what i'm miss?
You need up to date comfyUI,and KJNodes
In comfyUI manager click update all, or "try update" for KJNodes in ComfyUI manager (or use git pull alternatively)
and make sure comfyui itself is up to date
Should fix it ;-)
And if not, post a screen of your model loaders, maybe you put something wrong. But the video output you have is typical if not updated KJNodes
You need up to date comfyUI,and KJNodes
In comfyUI manager click update all, or "try update" for KJNodes in ComfyUI manager (or use git pull alternatively)
and make sure comfyui itself is up to dateShould fix it ;-)
And if not, post a screen of your model loaders, maybe you put something wrong. But the video output you have is typical if not updated KJNodes
thanks still same after update all the nodes and comfyui.
Here are the model loader
Total VRAM 24576 MB, total RAM 65349 MB
pytorch version: 2.8.0+cu129
xformers version: 0.0.32.post2
Set vram state to: NORMAL_VRAM
Device: cuda:0 NVIDIA GeForce RTX 3090 : cudaMallocAsync
You need up to date comfyUI,and KJNodes
In comfyUI manager click update all, or "try update" for KJNodes in ComfyUI manager (or use git pull alternatively)
and make sure comfyui itself is up to dateShould fix it ;-)
And if not, post a screen of your model loaders, maybe you put something wrong. But the video output you have is typical if not updated KJNodes
nevermind. i forget to update on the GGUF nodes. really help
yes true, the GGUF nodes also needs to be up todate.
And happy you got it working ;-)
