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.