ComfyUI-LTXVideo is a collection of custom nodes for ComfyUI designed to integrate the LTXVideo diffusion model. These nodes enable workflows for text-to-video, image-to-video, and video-to-video generation. The main LTXVideo repository can be found here.
Fixed a bug which caused the model to produce artifacts on short negative prompts when using a native CLIP Loader node.
- Improved model - removes "strobing texture" artifacts and generates better motion. Download from here.
- STG support
- Integrated image degradation system for improved motion generation.
- Additional initial latent optional input to chain latents for high res generation.
- Image captioning in image to video flow.
Installation via ComfyUI-Manager is preferred. Simply search for ComfyUI-LTXVideo in the list of nodes and follow installation instructions.
- Install ComfyUI
- Clone this repository to
custom-nodesfolder in your ComfyUI installation directory. - Install the required packages:
cd custom_nodes/ComfyUI-LTXVideo && pip install -r requirements.txtFor portable ComfyUI installations, run
.\python_embeded\python.exe -m pip install -r .\ComfyUI\custom_nodes\ComfyUI-LTXVideo\requirements.txt
- Download ltx-video-2b-v0.9.1.safetensors from Hugging Face and place it under
models/checkpoints. - Install one of the t5 text encoders, for example google_t5-v1_1-xxl_encoderonly. You can install it using ComfyUI Model Manager.
Note that to run the example workflows, you need to have some additional custom nodes, like ComfyUI-VideoHelperSuite and others, installed. You can do it by pressing "Install Missing Custom Nodes" button in ComfyUI Manager.
