
Happyhorse
- 207 installs
- 680 repo stars
- Updated August 3, 2026
- inference-sh/skills
This is a copy of happyhorse by halt-catch-fire - installs and ranking accrue to the original listing.
Run and orchestrate inference-sh model workflows through the happyhorse skill so coding agents can call hosted inference endpoints without hand-rolling HTTP clients each time.
About
Provides a happyhorse skill for inference-sh that lets coding agents invoke hosted model inference through a standardized, reusable tool pattern instead of ad-hoc API wiring for every new model endpoint.
- Inference-sh hosted model execution
- Reusable agent-callable inference wrapper
- Reduces bespoke HTTP client boilerplate
- Standardized request and response handling
- Fits multi-model agent pipelines
Happyhorse by the numbers
- 207 all-time installs (skills.sh)
- +10 installs in the week ending Aug 2, 2026 (Skillselion tracking)
- Data as of Aug 5, 2026 (Skillselion catalog sync)
npx skills add https://github.com/inference-sh/skills --skill happyhorseAdd your badge
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| Installs | 207 |
|---|---|
| repo stars | ★ 680 |
| Last updated | August 3, 2026 |
| Repository | inference-sh/skills ↗ |
What it does
Run and orchestrate inference-sh model workflows through the happyhorse skill so coding agents can call hosted inference endpoints without hand-rolling HTTP clients each time.
Files
Install the belt CLI skill: npx skills add belt-sh/cliHappyHorse 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 instructionsbelt 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 store search "happyhorse"Related Skills
# Full platform skill (all 250+ 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-generationBrowse all video apps: belt app store --category video
Documentation
- Running Apps - How to run apps via CLI
- Streaming Results - Real-time progress updates
- Content Pipeline Example - Building media workflows