ai-video-generation

Generate AI video clips from text, images, or Veo extensions via RunComfy CLI.

31|9|Updated Apr 30, 2026
One-click install
npx skills add https://github.com/agentspace-so/runcomfy-agent-skills --skill ai-video-generation-agentspace-so
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ai-video-generation
Source: https://github.com/agentspace-so/runcomfy-agent-skills/tree/main/ai-video-generation
Command: npx skills add https://github.com/agentspace-so/runcomfy-agent-skills --skill ai-video-generation-agentspace-so

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill removes the hassle of picking the right video model and crafting the correct RunComfy CLI invocation to produce text-to-video, image-to-video, and Veo video-extend results.

Core Features & Use Cases

  • Model-router by intent: Selects the best RunComfy endpoint based on whether the user requests t2v, i2v, or extend video.
  • Prompting patterns per model: Ships documented prompting guidance to improve motion, identity consistency, cinematic language, and audio behavior.
  • One-shot CLI invocation: Produces videos by calling runcomfy run with the exact model endpoint and required JSON input fields.

Quick Start

Ask the AI to generate a 10-second cinematic video from this prompt: "Anamorphic 35mm shot of a vintage car driving down a coastal road at dusk with lens flares; cinematic color grade."

Frequently Asked Questions about ai-video-generation

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

FAQPage Schema
How do I generate AI video from text or image prompts?

To generate AI video from text or image prompts, the skill routes your request to the correct RunComfy CLI endpoint based on whether you want text-to-video, image-to-video, or video extension, and executes a one-shot CLI invocation with the required JSON input body.

What is the best way to extend a Veo video clip with consistent motion?

The best way to extend a Veo video clip is by using the skill's model-router to target the specific Veo video-extend endpoint, which maintains consistent motion and identity while calling the RunComfy CLI with your duration settings.

How does model routing work for AI video generation?

Model routing for AI video generation works by automatically selecting the best RunComfy endpoint based on your intent, identifying whether you need text-to-video, image-to-video, or video extension, and applying the correct vendor and model configuration.

Can I create dialog-driven clips with lip sync using RunComfy?

Yes, you can create dialog-driven clips with lip sync by providing an audio_url in the JSON input body, which routes through the RunComfy CLI to generate video clips that match audio behavior and dialog.

Do I need to manually configure RunComfy CLI endpoints for different video tasks?

No, you do not need to manually configure RunComfy CLI endpoints because the skill ships with a model-router by intent that automatically handles the correct vendor, model, and endpoint selection for text-to-video, image-to-video, and Veo extend tasks.