About

Imported from inference-sh/skills (tools/video/happyhorse/SKILL.md) via skills.sh. Install upstream with npx skills add inference-sh/skills --skill happyhorse. Copyright stays with the author.

Install the belt CLI skill: npx skills add belt-sh/cli

HappyHorse 1.0 Video Generation

Name: happyhorse
Author: inference-sh

Generate and edit physically realistic videos with Alibaba's HappyHorse 1.0 models via inference.sh CLI.

Quick Start

Requires inference.sh CLI (belt). Install instructions

belt login

belt app run alibaba/happyhorse-1-0-t2v --input '{"prompt": "a horse galloping across a sunlit meadow"}'

HappyHorse Models

Model	App ID	Best For
T2V	`alibaba/happyhorse-1-0-t2v`	Text-to-video, physically realistic motion
I2V	`alibaba/happyhorse-1-0-i2v`	Animate a single image
R2V	`alibaba/happyhorse-1-0-r2v`	Preserve characters from up to 9 reference images
Video Edit	`alibaba/happyhorse-1-0-video-edit`	Edit existing videos with natural language

All models support 720P/1080P resolution, up to 15 seconds duration.

Examples

Text-to-Video

belt app run alibaba/happyhorse-1-0-t2v --input '{
  "prompt": "a golden retriever running through autumn leaves in a park, slow motion",
  "duration": 10,
  "resolution": "1080P",
  "ratio": "16:9"
}'

Image-to-Video

Animate a still image:

belt app run alibaba/happyhorse-1-0-i2v --input '{
  "first_frame": "https://your-image.jpg",
  "prompt": "gentle camera zoom, clouds moving in the sky",
  "duration": 8,
  "resolution": "720P"
}'

Reference-to-Video (Character Preservation)

Generate videos that preserve characters from reference images (up to 9):

belt app run alibaba/happyhorse-1-0-r2v --input '{
  "prompt": "a woman walking through a busy market street",
  "reference_images": ["https://portrait.jpg"],
  "duration": 10,
  "resolution": "720P"
}'

Multi-Character Reference

belt app run alibaba/happyhorse-1-0-r2v --input '{
  "prompt": "two friends sitting at a cafe having coffee",
  "reference_images": ["https://person1.jpg", "https://person2.jpg"],
  "ratio": "16:9"
}'

Video Editing

Edit existing videos using natural language instructions:

belt app run alibaba/happyhorse-1-0-video-edit --input '{
  "video": "https://your-video.mp4",
  "prompt": "change the background to a snowy mountain landscape"
}'

Video Editing with Reference Images

belt app run alibaba/happyhorse-1-0-video-edit --input '{
  "video": "https://your-video.mp4",
  "prompt": "replace the person with the character from the reference image",
  "reference_images": ["https://character.jpg"]
}'

Video Editing with Audio Control

belt app run alibaba/happyhorse-1-0-video-edit --input '{
  "video": "https://your-video.mp4",
  "prompt": "make the scene look like a rainy day",
  "audio_setting": "generate"
}'

Pricing

Resolution	Price
720P	$0.14 per second
1080P	$0.24 per second

Video Edit is billed on input + output duration.

Parameters (T2V)

Parameter	Type	Default	Description
`prompt`	string	required	Text description of the video
`duration`	integer	5	Duration in seconds (3–15)
`resolution`	enum	720P	720P or 1080P
`ratio`	enum	16:9	16:9, 9:16, 1:1, 4:3, 3:4, 21:9
`seed`	integer	random	Reproducible generation
`watermark`	boolean	false	Add HappyHorse watermark

Parameters (I2V)

Parameter	Type	Default	Description
`first_frame`	file	required	First frame image (JPEG, PNG, WebP)
`prompt`	string	-	Optional text description
`duration`	integer	5	Duration in seconds (3–15)
`resolution`	enum	720P	720P or 1080P
`seed`	integer	random	Reproducible generation

Parameters (R2V)

Parameter	Type	Default	Description
`prompt`	string	required	Text description of the scene
`reference_images`	array	required	Up to 9 character reference images
`duration`	integer	5	Duration in seconds (3–15)
`resolution`	enum	720P	720P or 1080P
`ratio`	enum	16:9	16:9, 9:16, 1:1, 4:3, 3:4, 21:9
`seed`	integer	random	Reproducible generation

Parameters (Video Edit)

Parameter	Type	Default	Description
`video`	file	required	Video to edit (MP4/MOV, H.264)
`prompt`	string	required	Editing instruction
`reference_images`	array	-	Up to 5 reference images
`audio_setting`	enum	auto	auto, generate, or keep_original
`resolution`	enum	720P	720P or 1080P
`seed`	integer	random	Reproducible generation

Search HappyHorse Apps

belt app search "happyhorse"

Related Skills

# Full platform skill (all apps)
npx skills add inference-sh/skills@infsh-cli

# All video generation models
npx skills add inference-sh/skills@ai-video-generation

# Seedance 2.0
npx skills add inference-sh/skills@seedance

# Google Veo
npx skills add inference-sh/skills@google-veo

# Image generation (for image-to-video)
npx skills add inference-sh/skills@ai-image-generation

Browse all video apps: belt app list --category video

Documentation

Running Apps - How to run apps via CLI
Streaming Results - Real-time progress updates
Content Pipeline Example - Building media workflows

Use it

Copy one of these into your project. Installing also returns the manifest and these snippets.

yaml

targets:
  - https://api.opensmartroute.ai/api/v1/registry/inference-sh-skills-happyhorse/manifest   # or paste the manifest below

Manifest

An Open Capability Manifest: the router reads it to know what this does, what it costs and when to pick it.

inference-sh-skills-happyhorse.ocm.jsonjson

{
  "ocm": "1",
  "id": "inference-sh-skills-happyhorse",
  "kind": "skill",
  "name": "happyhorse",
  "description": "Generate and edit videos with Alibaba HappyHorse 1.0 models via inference.sh CLI. Models: HappyHorse T2V, I2V, R2V, Video Edit. Capabilities: text-to-video, image-to-video, reference-to-video, video editing with natural language, character preservation, 720P/1080P, up to 15 seconds. Use for: physically realistic video, video editing, character-consistent content, product demos, social media. Triggers: happyhorse, happy horse, alibaba video, happyhorse 1.0, dashscope video, alibaba happyhorse, video editing ai, ai video editor",
  "publisher": "inference-sh",
  "version": "1.0.0",
  "capabilities": {
    "domains": [
      "creative",
      "marketing"
    ],
    "tags": [
      "skill-md",
      "skills-sh"
    ],
    "languages": [
      "en"
    ]
  },
  "quality_prior": 0.6,
  "examples": [
    "Generate and edit videos with Alibaba HappyHorse 1.0 models via inference.sh CLI. Models: HappyHorse T2V, I2V, R2V, Video Edit. Capabilities: text-to-video, image-to-video, reference-to-video, video editing with natural language, character preservation, 720P/1080P, up to 15 seconds. Use for: physically realistic video, video editing, character-consistent content, product demos, social media. Triggers: happyhorse, happy horse, alibaba video, happyhorse 1.0, dashscope video, alibaba happyhorse, video editing ai, ai video editor"
  ],
  "primary": false,
  "metadata": {
    "source": {
      "provider": "skills.sh",
      "repository": "https://github.com/inference-sh/skills",
      "path": "tools/video/happyhorse/SKILL.md",
      "ref": "HEAD",
      "url": "https://www.skills.sh/inference-sh/skills/happyhorse",
      "key": "inference-sh/skills/tools/video/happyhorse/SKILL.md"
    },
    "allowed_tools": [
      "Bash(belt",
      "*)"
    ]
  },
  "instructions": "> **Install the belt CLI skill:** `npx skills add belt-sh/cli`\n\n# HappyHorse 1.0 Video Generation\n\nGenerate and edit physically realistic videos with Alibaba's HappyHorse 1.0 models via [inference.sh](https://inference.sh) CLI.\n\n## Quick Start\n\n> Requires inference.sh CLI (`belt`). [Install instructions](https://raw.githubusercontent.com/inference-sh/skills/refs/heads/main/cli-install.md)\n\n```bash\nbelt login\n\nbelt app run alibaba/happyhorse-1-0-t2v --input '{\"prompt\": \"a horse galloping across a sunlit meadow\"}'\n```\n\n\n## HappyHorse Models\n\n| Model | App ID | Best For |\n|-------|--------|------",
  "cost": {
    "context_tokens": 1420
  }
}

Fetch it by URL: GET /api/v1/registry/inference-sh-skills-happyhorse/manifest?version=1.0.0

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