happyhorse-1-0

Translate user prompts into HappyHorse 1.0 text-to-video API payloads for RunComfy.

31|9|Updated Apr 30, 2026
One-click install
npx skills add https://github.com/agentspace-so/runcomfy-agent-skills --skill happyhorse-1-0-agentspace-so
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: happyhorse-1-0
Source: https://github.com/agentspace-so/runcomfy-agent-skills/tree/main/happyhorse-1-0
Command: npx skills add https://github.com/agentspace-so/runcomfy-agent-skills --skill happyhorse-1-0-agentspace-so

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps you turn a prompt into consistent, high-quality text-to-video using the HappyHorse 1.0 model, including native in-pass synchronized audio.

Core Features & Use Cases

  • High-fidelity text-to-video generation: Produces native 1080p output with in-pass synchronized audio for dialogue, ambient, and Foley.
  • Multi-shot character consistency: Maintains character identity and visual continuity across multiple shot beats in a single prompt.
  • Model-aware routing guidance: Explains when to switch to Seedance 2.0 Pro, Wan 2.7, LTX 2, or Kling for different editing/control needs.
  • Supported input schema controls: Lets you specify aspect ratio, resolution, duration, seed, and watermark options within the supported constraints.

Quick Start

Use the happyhorse-1-0 skill to generate a video from your prompt with the default 16:9, 1080p, 5-second settings.

Frequently Asked Questions about happyhorse-1-0

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

FAQPage Schema
How do I generate 1080p text-to-video with in-pass synchronized audio?

To generate 1080p text-to-video with in-pass synchronized audio, this Skill translates your prompt into a RunComfy API payload for the HappyHorse 1.0 model, handling dialogue, ambient, and Foley audio natively.

Can I maintain character consistency across multiple shots in a single text-to-video prompt?

Yes, multi-shot character consistency is supported by the HappyHorse 1.0 model. It maintains character identity and visual continuity across multiple shot beats defined within a single text prompt.

How do I set aspect ratio, duration, and seed for RunComfy text-to-video generation?

You set aspect ratio, resolution, duration, seed, and watermark by configuring the supported schema fields in the RunComfy CLI payload. Default settings are 16:9, 1080p, and 5 seconds.

What is the best way to create multilingual prompt variants for 1080p video generation?

The best way to create multilingual prompt variants for 1080p video generation is using the HappyHorse 1.0 Skill, which translates multilingual text inputs into valid RunComfy API payloads.

When should I switch from HappyHorse 1.0 to other models like Seedance 2.0 Pro or Kling?

You should switch from HappyHorse 1.0 to Seedance 2.0 Pro, Wan 2.7, LTX 2, or Kling when your creative video production requires different editing or control needs not covered by HappyHorse.

Why does my HappyHorse text-to-video generation require specific CLI schema fields?

Your HappyHorse text-to-video generation requires specific CLI schema fields like prompt and aspect_ratio because the Skill invokes the RunComfy CLI for happyhorse/happyhorse-1-0/text-to-video to process the payload correctly.