A collection of powerful custom nodes that extend ComfyUI's capabilities for the LTX-2 video generation model.
LTX-2 is built into ComfyUI core (see it here), making it readily accessible to all ComfyUI users. This repository hosts additional nodes and workflows to help you get the most out of LTX-2's advanced features.
To learn more about LTX-2 See the main LTX-2 repository for model details and additional resources.
Before you begin using an LTX-2 workflow in ComfyUI, make sure you have:
- ComfyUI installed (Download here](https://www.comfy.org/download)
- CUDA-compatible GPU with 32GB+ VRAM
- 100GB+ free disk space for models and cache
We recommend using the LTX-2 workflows available in Comfy Manager.
- Open ComfyUI
- Click the Manager button (or press Ctrl+M)
- Select Install Custom Nodes
- Search for “LTXVideo”
- Click Install
- Wait for installation to complete
- Restart ComfyUI
The nodes will appear in your node menu under the “LTXVideo” category. Required models will be downloaded on first use.
The ComfyUI-LTXVideo installation includes several example workflows. You can see them all at: ''' ComfyUI/custom_nodes/ComfyUI-LTXVideo/example_workflows/ '''
Text to video full modelText to video distilled model (Fast)Image to video full modelImage to video distilled model (Fast)Video to video detailerIC-LoRA distilled model (depth + human pose + edges)
Download the following models:
LTX-2 Model Checkpoint (choose and download one of the following)
ltx-2-19b-dev-fp8.safetensorsltx-2-19b-distilled-fp8.safetensorsltx-2-19b-dev.safetensorsltx-2-19b-distilled.safetensors
Spatial Upscaler - Required for current two-stage pipeline implementations in this repository
Temporal Upscaler - Required for current two-stage pipeline implementations in this repository
Distilled LoRA - Required for current two-stage pipeline implementations in this repository (except DistilledPipeline and ICLoraPipeline)
Gemma Text Encoder (download all assets from the repository)
LoRAs
ltx-2-19b-ic-lora-canny-control.safetensorsltx-2-19b-ic-lora-depth-control.safetensorsltx-2-19b-ic-lora-detailer.safetensorsltx-2-19b-ic-lora-pose-control.safetensorsltx-2-19b-lora-camera-control-dolly-in.safetensorsltx-2-19b-lora-camera-control-dolly-left.safetensorsltx-2-19b-lora-camera-control-dolly-out.safetensorsltx-2-19b-lora-camera-control-dolly-right.safetensorsltx-2-19b-lora-camera-control-jib-down.safetensorsltx-2-19b-lora-camera-control-jib-up.safetensorsltx-2-19b-lora-camera-control-static.safetensors
- For systems with low VRAM you can use the model loader nodes from low_vram_loaders.py. Those nodes ensure the correct order of execution and perform the model offloading such that generation fits in 32 GB VRAM.
- For complete information about using LTX-2 models, workflows, and nodes in ComfyUI, please visit our Open Source documentation.
