ltx-video

Configures and executes LTX-2.3 video generation pipelines for text-to-video and image-to-video tasks.

3|2|Updated Mar 17, 2026
One-click install
npx skills add https://github.com/broomva/skills --skill ltx-video
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ltx-video
Source: https://github.com/broomva/skills/tree/main/skills/video/ltx-video
Command: npx skills add https://github.com/broomva/skills --skill ltx-video

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires httpx, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This skill addresses the complexity of setting up and running advanced DiT-based video generation models, which often require specific hardware configurations, VRAM management, and pipeline selection.

Core Features & Use Cases

  • Multi-Pipeline Generation: Supports text-to-video, image-to-video, and audio-conditioned video generation.
  • VRAM Optimization: Provides built-in support for FP8 quantization, distilled models, and single-stage pipelines to run on consumer hardware.
  • Use Case: Use this skill to generate cinematic video clips from text prompts or to animate existing images using the LTX-2.3 foundation model.

Quick Start

Use the ltx-video skill to generate a video of a golden retriever running in a park using the distilled two-stage pipeline.

Frequently Asked Questions about ltx-video

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate AI video from text prompts using LTX-2 diffusion models?

You generate AI video from text prompts by configuring LTX-2.3 text-to-video pipelines. This skill manages model inference and pipeline selection to produce high-fidelity video clips from your text inputs.

Can I run DiT-based video generation on consumer hardware with limited VRAM?

Yes, you can run DiT-based video generation on consumer hardware using built-in VRAM optimization. The skill supports FP8 quantization, distilled models, and single-stage pipelines to execute inference within tight memory constraints.

Does LTX video synthesis support animating existing images?

LTX video synthesis supports animating existing images through image-to-video pipelines. It configures LTX-2.3 foundation models to animate static images and generate dynamic, cinematic video clips.

What is the best way to synchronize audio with AI generated video clips?

The best way to synchronize audio with AI generated video clips is using audio-conditioned video generation pipelines. This skill configures LTX-2.3 inference to ensure audio-visual synchronization during high-fidelity video synthesis.

How does FP8 quantization affect video generation pipeline selection?

FP8 quantization enables video generation pipelines to run on hardware-constrained environments by reducing VRAM usage. The skill manages this optimization alongside distilled and single-stage pipelines for efficient local or cloud-based deployment.