How to Build an LTX-Video ComfyUI Workflow for Consistent Clips
A reusable LTX-Video ComfyUI workflow keeps motion and style stable across multiple clips. Here is the node layout, seed strategy, and batch tips.
LTX-Video is an open-source video generation model from Lightricks. It turns a text prompt or a still image into a short clip, and it was built to run faster than real time — meaning a few seconds of video render in less time than they play.
Lightricks, the company behind Facetune and LTX Studio, released LTX-Video as an open model. Unlike closed video tools, you can download the weights, run them on your own GPU, or call it through services like Fal, Replicate and Lightricks’ own platform. Its signature is speed.
It generates at 24 to 30 frames per second at 768×512 in the base version, with later releases pushing resolution higher.
It suits developers, researchers and studios that want an open model they can tune and self-host. Motion-coherence is still behind the best closed models on long or complex shots, and you need a hefty GPU (or paid hosted credits) for practical use. For one-off cinematic shots, closed tools like Runway or Kling may still win on quality.