
happyhorse
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
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Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/101-skills/superpowers --skill happyhorse- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads happyhorse automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
Security audits
Independent scans of the skill's instructions and bundled files.
SKILL.md
The instructions your agent reads when the skill is triggered.
Install the belt CLI skill:
npx skills add belt-sh/cli
HappyHorse 1.0 Video Generation
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
FAQ
What does the happyhorse skill do?
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
How do I install happyhorse?
Run npx skills add https://github.com/101-skills/superpowers --skill happyhorse in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/happyhorse/ (personal) or .claude/skills/happyhorse/ (project).
Which AI agents can use happyhorse?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is happyhorse safe to install?
Security partners have reviewed it: Gen Agent Trust Hub passed; Socket flagged items to review; Snyk passed. As with any skill, read the SKILL.md and bundled scripts before installing.
Who maintains happyhorse?
It is published by 101-skills in 101-skills/superpowers. It has 12,612 recorded installs.
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