HappyHorse
Text, image, and edit-video generation with 720p and 1080p output, duration control, first-frame image support, ordered reference images for character-guided clips, and source-video editing.
# Works with Claude Code, Codex, Gemini CLI, Cursor, and 50+ agents
npx skills add runapi-ai/happyhorse -gInstall the HappyHorse skill for me: 1. Clone https://github.com/runapi-ai/happyhorse 2. Copy the skills/happyhorse/ directory into your user-level skills directory (e.g. ~/.claude/skills/ for Claude Code, ~/.codex/skills/ for Codex). 3. Verify that SKILL.md is present. 4. Confirm the install path when done.
HappyHorse creates text, image, and edit-video clips with selectable 720p or 1080p output, deterministic seed control, first-frame image guidance, ordered reference-image guidance for the character model, and source-video edit instructions.
- Installable agent skill
- Unified API key
- SDK examples included
- Les générations échouées ne sont pas facturées
Variantes
Use this model from your agent
# User prompt to the agent
"Generate a 5-second 1080p cinematic clip of a paper horse galloping through a miniature cardboard city at night."// Code generated by the agent via @runapi.ai/happyhorse
import { HappyhorseClient } from '@runapi.ai/happyhorse';
const client = new HappyhorseClient();
const result = await client.textToVideo.run({
model: 'happyhorse-character',
prompt: 'Generate a 5-second 1080p cinematic clip of a paper horse galloping through a miniature cardboard city at night.',
});How to call this model
Install the skill
Add the model skill to your agent or install the SDK package.
Authenticate once
Use your RunAPI key for every supported model.
Send a request
Use the unified schema for the endpoint you need.
Receive output
Poll by task ID or handle the callback when the generation completes.
SDK quickstart
curl -X POST https://runapi.ai/api/v1/happyhorse/text_to_video \
-H "Authorization: Bearer $RUNAPI_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "happyhorse-character",
"prompt": "Generate a 5-second 1080p cinematic clip of a paper horse galloping through a miniature cardboard city at night."
}'import { HappyhorseClient } from "@runapi.ai/happyhorse";
const client = new HappyhorseClient();
const result = await client.textToVideo.run({
model: "happyhorse-character",
prompt: "Generate a 5-second 1080p cinematic clip of a paper horse galloping through a miniature cardboard city at night.",
});require "runapi/happyhorse"
client = RunApi::Happyhorse::Client.new
result = client.text_to_video.run(
model: "happyhorse-character",
prompt: "Generate a 5-second 1080p cinematic clip of a paper horse galloping through a miniature cardboard city at night."
)Where HappyHorse fits
HappyHorse belongs to the Alibaba catalog on RunAPI and exposes canonical text-to-video, image-to-video, and edit-video capabilities across API, SDK, CLI, Bruno, and docs surfaces.
Why use HappyHorse through RunAPI
One API key
Use the same credentials across models and providers.
Agent-ready
Installable skills include docs and schema for tool calls.
Predictable billing
Usage-based pricing is visible before you call.
Frequently asked questions
How do I call this model?
Use the RunAPI SDK, CLI, or REST endpoint shown on this page.
Do failed generations cost money?
Les générations échouées ne sont pas facturées
Can agents use it directly?
Yes. Install the model skill and your agent gets the docs, schema, and examples.
