Generate synchronized audio-video content from text prompts or source media using LTX-2 diffusion pipelines.
npx skills add https://github.com/bobvarkey/openclaw-workspace --skill ltx-2
Please help me install this Agent Skill. Skill: ltx-2 Source: https://github.com/bobvarkey/openclaw-workspace/tree/main/skills/local/ltx-2 Command: npx skills add https://github.com/bobvarkey/openclaw-workspace --skill ltx-2
This Skill produces high-quality generated video when a user needs text-to-video, image-to-video, video-to-video, audio-driven video, or keyframe interpolation without building a custom diffusion pipeline.
Activate the LTX-2 environment, ensure the required models are in place under the models directory, and ask for the desired video generation workflow with your prompt, input media, and output path.
High-intent search queries and answers about installing and using this skill.
Image-to-video generation with LTX-2 animates still images by applying the diffusion pipeline to your source media. You can transform existing videos using IC-LoRA and regenerate specific time regions by specifying the desired input media and output path.
LTX-2 offers distilled, one-stage, two-stage, audio-to-video, and keyframe interpolation workflows. Choose the distilled or one-stage pipeline for rapid prototyping, and the two-stage pipeline for higher quality synchronized audio-video output.
Running text-to-video diffusion pipelines requires Python 3, GPU-capable runtime support, and the appropriate model checkpoints, Gemma text encoder, and upscaler or LoRA assets placed under the models directory. Ensure these prerequisites are met before activating the environment.
Yes, keyframe interpolation is a dedicated workflow supported by LTX-2. It allows you to generate intermediate frames between set keyframes, providing a production-oriented approach for smooth video animation and specific time region regeneration.
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