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.