LTX-Video is Lightricks' open source AI model for generating high-quality videos in real time using a DiT based diffusion approach, primarily focused on image to video conversion at 30 FPS.

Is LTX-Video completely free and open-source?

Yes, model weights, inference code, and pipelines are openly available on Hugging Face and GitHub under permissive licenses, with no costs for local use.

How fast is video generation with LTX-Video?

It produces videos faster than real time, enabling 30 FPS at 1216×704 resolution, often in seconds depending on hardware and variant (distilled models are especially quick).

What hardware do I need to run LTX-Video?

A CUDA compatible GPU is required (e.g., NVIDIA RTX series); the 13B model needs more VRAM, while distilled/FP8 versions run efficiently on consumer hardware.

LTX-Video

Real Time High Quality Video Generation with DiT Architecture

From Lightricks

Founder: Zeev Farbman

Video Generator

Nov 2024

50K+

Free

Pricing Model

Free

Starting Price

$0/Month

About This AI

LTX-Video is an open source Diffusion Transformer (DiT) based model from Lightricks, designed for ultra fast video generation.

It creates high resolution videos at 30 FPS (1216×704) in real-time or faster, supporting image-to-video and multi condition generation.

Trained on diverse large scale video data, it delivers realistic motion and content, with distilled variants for efficiency and integration via Hugging Face Diffusers and ComfyUI.

Image To Video Text To Video Video Editor Video Generator

Pricing

Pricing Model

Free

Starting Price

$0/Month

Key Features

Real-time generation at 30 FPS for 1216×704 videos
Image-to-video and multi-condition (image + short video) support
Diffusion Transformer architecture with distilled variants
Multi-stage pipeline: generation, upscaling, denoising
Compatible with Diffusers library and ComfyUI workflows

Pros

Blazing-fast inference, faster than real-time playback
High visual quality with realistic motion and details
Fully open-source weights and code for local use
Efficient distilled models for lower VRAM requirements
Strong community support via Hugging Face and GitHub

Cons

Requires powerful GPU (CUDA) for optimal performance
Resolution limited to multiples of 32, best under 720p×1280
Prompt adherence varies with phrasing style
Potential for biases or imperfect generations
No native audio synchronization in base LTX-Video (later models expand this)

LTX-Video excels for creators and developers wanting open source, real-time AI video generation, ideal for rapid prototyping, animations, and content creation with local control and high speed.

FAQs

What is LTX-Video?
LTX-Video is Lightricks’ open source AI model for generating high-quality videos in real time using a DiT based diffusion approach, primarily focused on image to video conversion at 30 FPS.
Is LTX-Video completely free and open-source?
Yes, model weights, inference code, and pipelines are openly available on Hugging Face and GitHub under permissive licenses, with no costs for local use.
How fast is video generation with LTX-Video?
It produces videos faster than real time, enabling 30 FPS at 1216×704 resolution, often in seconds depending on hardware and variant (distilled models are especially quick).
What hardware do I need to run LTX-Video?
A CUDA compatible GPU is required (e.g., NVIDIA RTX series); the 13B model needs more VRAM, while distilled/FP8 versions run efficiently on consumer hardware.