LTX Video
LTX-Video is a DiT-based video generation model that generates high-fidelity videos with synchronized audio, supporting up to 4K resolution and 50 FPS. It solves the need for a unified model that handles text-to-video, image-to-video, and video extension tasks. It is for developers and creators who want to generate or edit videos programmatically or via ComfyUI.
✨ Key features
- Generates synchronized audio and video in one pass
- Supports up to 4K resolution and 50 FPS
- Image-to-video, multi-keyframe, and video extension
- Distilled models for faster inference and lower VRAM
- Control models for depth, pose, and canny conditioning
- ComfyUI and Diffusers integration
🎯 Use cases
- Generate videos from text prompts
- Animate still images with motion and audio
- Extend existing videos forward or backward
- Create controlled videos using depth, pose, or canny inputs
- Rapid prototyping with distilled models for real-time generation
📦 Installation
🧰 Requirements: Requires Python and PyTorch; GPU recommended for full performance, but MPS on macOS is supported. Model weights are downloaded from HuggingFace.
git clone https://github.com/Lightricks/LTX-Video.git
cd LTX-Videopip install -r requirements.txtFor ComfyUI, install the custom node from the ComfyUI Manager or manually clone the repository into the custom_nodes folder.
🚀 Usage
# Example inference using the official script
python inference.py \
--config configs/ltxv-13b-0.9.8-dev.yaml \
--ckpt path/to/ltxv-13b-0.9.8-dev.safetensors \
--prompt "A cat playing piano" \
--output output.mp4
For image-to-video, add --image_path input.png.
⚠️ Good to know
The repository is in active development; LTX-2 is the new primary model with improved features, and LTX-Video may have limited support going forward.
❓ FAQ
What is the difference between the base and distilled models?
Distilled models are optimized for faster inference with fewer diffusion steps and do not require classifier-free guidance or spatio-temporal guidance, but may have slight quality reduction.
Can I use LTX-Video with ComfyUI?
Yes, LTX-Video is integrated into ComfyUI, and example workflows are provided in the repository.
What are the system requirements?
A GPU is recommended for reasonable performance, but MPS on macOS is supported with PyTorch 2.3.0. The 13B models require more VRAM, while the 2B models are lighter.
Is there a newer version of LTX-Video?
Yes, LTX-2 is the next generation with synchronized audio+video and is now the primary home for LTX development.
📊 Repository
🤖 Overview, features, install steps and FAQ were generated from the project's README on Sep 4, 2026. Always check the original source before running commands.