happyhorse-1-0

Generate text-to-video clips with HappyHorse 1.0 through the RunComfy CLI.

Updated Jun 11, 2026
One-click install
npx skills add https://github.com/brillianodhiya/VisionScript --skill happyhorse-1-0-brillianodhiya
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: happyhorse-1-0
Source: https://github.com/brillianodhiya/VisionScript/tree/main/.agents/skills/happyhorse-1-0
Command: npx skills add https://github.com/brillianodhiya/VisionScript --skill happyhorse-1-0-brillianodhiya

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires @runcomfy/cli.

What problem does it solve? Creating AI-generated video with synchronized audio and consistent characters across shots requires knowing the right model, prompt structure, and API parameters, which this Skill packages into a single documented workflow on RunComfy. ## Core Features & Use Cases - Text-to-Video Generation: Calls the happyhorse/happyhorse-1-0/text-to-video endpoint via the RunComfy CLI with control over prompt, aspect ratio, resolution (720P/1080P), duration (3-15s), seed, and watermark. - Prompting Guidance: Documents motion-over-time prompting, camera directives, multi-shot character anchoring, and audio direction for in-pass synchronized sound. - Model Routing: Compares HappyHorse 1.0 against Wan 2.7, Seedance 2.0 Pro, LTX 2, and Kling Video O1 so requests land on the right model. - Use Case: A marketer needs a 9:16 vertical ad with a consistent character across two shots and ambient audio; the Skill supplies the exact CLI command and prompt pattern to produce it. ## Quick Start Ask the AI to generate a video with HappyHorse describing your scene, for example: generate a 10-second 1080p HappyHorse video of a barista pulling an espresso shot in a sunlit cafe.

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 a video with HappyHorse 1.0 on RunComfy?▼

Install the CLI with npm i -g @runcomfy/cli, run runcomfy login, then execute runcomfy run happyhorse/happyhorse-1-0/text-to-video with a JSON --input containing your prompt and an --output-dir. The CLI polls until completion and downloads the result.

HappyHorse 1.0 vs Wan 2.7 vs Seedance 2.0 for AI video?▼

HappyHorse 1.0 leads on general video quality, native 1080p, in-pass synchronized audio, and multi-shot character consistency. Choose Wan 2.7 for fine motion control and audio-driven lip-sync, or Seedance 2.0 Pro for lip-synced dialogue with reference video.

What aspect ratios and durations does HappyHorse 1.0 support?▼

HappyHorse 1.0 supports five aspect ratios: 16:9, 9:16, 1:1, 4:3, and 3:4. Duration ranges from 3 to 15 seconds, resolution is 720P or 1080P, and prompts can be up to 2,500 characters in six languages.

Can HappyHorse 1.0 do image-to-video or external audio lip-sync?▼

The text-to-video endpoint documented here is text-only; image-to-video uses a separate HappyHorse pipeline. Audio is generated in-pass only, so for audio-driven lip-sync from an audio_url, use Wan 2.7 or Seedance 2.0 Pro instead.

Why did my HappyHorse video request fail with a schema error?▼

Exit code 65 indicates bad input JSON or a schema mismatch, such as a duration above 15 seconds or an unsupported aspect ratio, which returns a 422. Exit code 77 means you are not signed in or the token was rejected.