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ltx2

Generate cinematic video clips from text prompts or still images using LTX-2.3 22B DiT.

Updated May 23, 2026
Search Tags:#video production#video generation#text-to-video#AI video#image-to-video
One-click install
npx skills add https://github.com/xingBaGan/FANovelist --skill ltx2-xingbagan
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ltx2
Source: https://github.com/xingBaGan/FANovelist/tree/main/src/openharness/openmontage/.claude/skills/ltx2
Command: npx skills add https://github.com/xingBaGan/FANovelist --skill ltx2-xingbagan

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires ltx2, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill streamlines the creation of video content from text descriptions or images, eliminating the need for manual video editing.

Core Features & Use Cases

  • Text-to-Video: Generate video clips from detailed text prompts.
  • Image-to-Video: Animate still images to create motion content.
  • Customization: Adjust resolution, duration, and other parameters.
  • Use Case: Ideal for video production, creating animated backgrounds, or generating motion content for presentations.

Quick Start

Generate a video clip from a text prompt with:

python3 tools/ltx2.py --prompt "A serene beach scene at sunrise" --output beach_sunrise.mp4

Frequently Asked Questions about ltx2

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

FAQPage Schema
How do I generate cinematic video clips from text prompts?▼

To generate video clips from text, provide a detailed text prompt to the LTX-2.3 22B DiT model. This AI video generation process creates cinematic content directly from your descriptions without manual editing.

Can I animate still images to create motion content?▼

Yes, you can animate still images to create motion content using the image-to-video feature. This AI video generation capability transforms existing images into dynamic video clips using the LTX-2.3 model.

Do I need specific hardware to run AI video generation tasks?▼

AI video generation requires an A100-80GB GPU and a valid HuggingFace token. These hardware and authentication prerequisites are necessary to run the LTX-2.3 22B model for text-to-video and image-to-video tasks.

What's the best way to customize resolution and duration for generated video clips?▼

You can customize resolution, duration, and other parameters for video clips by adjusting the input settings. This allows precise control over your text-to-video and image-to-video output for various production needs.

Why use an AI model for b-roll content generation instead of manual editing?▼

Using an AI model for b-roll content generation eliminates manual video editing. The LTX-2.3 22B model directly creates video clips from text or images, streamlining video production workflows for presentations and backgrounds.

What formats does the text-to-video generation output?▼

The text-to-video generation outputs video clips in MP4 format. You specify the output file path and name when running the generation script for your text prompts or image animations.

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