HappyHorse API
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.
curl -X POST https://runapi.ai/api/v1/happyhorse/image_to_video \
-H "Authorization: Bearer $RUNAPI_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "happyhorse-text-to-video",
"image_url": "https://cdn.runapi.ai/public/samples/image.jpg",
"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.imageToVideo.run({
model: "happyhorse-text-to-video",
image_url: "https://cdn.runapi.ai/public/samples/image.jpg",
prompt: "Generate a 5-second 1080p cinematic clip of a paper horse galloping through a miniature cardboard city at night.",
});
<?php
require __DIR__ . "/vendor/autoload.php";
use RunApi\Happyhorse\HappyhorseClient;
$client = new HappyhorseClient();
$result = $client->imageToVideo->run([
'model' => 'happyhorse-text-to-video',
'image_url' => 'https://cdn.runapi.ai/public/samples/image.jpg',
'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.image_to_video.run(
model: "happyhorse-text-to-video",
image_url: "https://cdn.runapi.ai/public/samples/image.jpg",
prompt: "Generate a 5-second 1080p cinematic clip of a paper horse galloping through a miniature cardboard city at night."
)
npx skills add runapi-ai/happyhorse -g
# Claude Code
claude mcp add runapi -s user -- npx -y @runapi.ai/mcp
# Codex
codex plugin install runapi-mcp@agents
# Cursor / Windsurf / VS Code
npx @runapi.ai/mcp init cursor
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.
- 多種變體可對應不同速度/品質等級
- Model skill 包含文件、schema 與 setup 備註
- 支援 app-focused coding workflows
- 生成失敗不收費
比較所有 API 變體
| Variant | Billing | From | |
|---|---|---|---|
| happyhorse-1.0-i2v | second | $0.540 | 查看 → |
| happyhorse-1.0-r2v | second | $0.540 | 查看 → |
| happyhorse-1.0-t2v | second | $0.540 | 查看 → |
| happyhorse-character | second | $0.480 | 查看 → |
| happyhorse-edit-video | second | $0.480 | 查看 → |
| happyhorse-image-to-video | second | $0.480 | 查看 → |
| happyhorse-text-to-video | second | $0.480 | 查看 → |
為 app 開發安裝 HappyHorse skill
將模型文件、schema、價格備註與 setup 步驟載入 coding workspace。
# Install the model skill for app development workflows
npx skills add runapi-ai/happyhorse -g
Install the HappyHorse skill for this app: 1. Add runapi-ai/happyhorse with the skills installer. 2. Load SKILL.md in this workspace. 3. Use its docs, schemas, pricing notes, and setup steps when adding model features. 4. Confirm the install path when done.
從 model skill 到第一次結果,只要四步
選擇模型
挑選符合輸出類型、品質門檻與延遲目標的模型與變體。
設定
設定 RunAPI key,並在 coding workspace 安裝 model skill。
開發
使用 skill 指引,在你的 app 內加入模型功能。
接收
透過 task ID 查詢、在支援時串流,或處理 webhook callback。
什麼是 HappyHorse API?
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.
為什麼透過 RunAPI 使用 HappyHorse API
一組驗證,全部供應商通用
一把 RunAPI 金鑰就能開通整個目錄。無需分開註冊帳戶,也不用為每個整合各自輪替金鑰。
統一價格與計費
以美元按次計費,每月結帳。失敗的生成不收費。
內含 schema 的 skill
型別化 schema 與 setup 備註打包在 model skill 內,讓實作從正確契約開始。
常見問題
What can HappyHorse create?
HappyHorse offers text-to-video from a prompt, character-guided text-to-video from a prompt plus ordered reference images, image-to-video from one first-frame image, and edit-video from one source clip.
What resolutions does HappyHorse support?
All HappyHorse video endpoints support 720p and 1080p output. 1080p is the default, while 720p is useful for drafts and social clips.
How long can HappyHorse videos be?
HappyHorse video generation endpoints support integer durations from 3 to 15 seconds, while edit-video accepts a 3-60 second source video.
How does image-to-video use the input image?
Image-to-video accepts exactly one public image URL and treats it as the first frame before generating motion from the prompt and settings.
How does the character model use reference images?
The character model accepts 1-9 public image URLs on the text-to-video endpoint; their order maps to character1, character2, and later references in the prompt.
How does edit-video use the source video?
Edit-video accepts one public MP4 or MOV source video, an edit instruction, and up to 5 optional reference images.
Can I reproduce a HappyHorse result?
You can pass a seed to make generation more deterministic for the same prompt, media, and resolution.
我應該先從哪個版本開始?
先選擇符合你品質標準中最便宜的版本。大多數團隊會先用快速版本,之後再升級到專業版用於正式上線。
有免費方案嗎?
新帳戶可在每個模型上免費使用首次呼叫。之後則按次計費。
你們支援串流結果嗎?
只要該功能可用,RunAPI 會提供端到端串流。
失敗的請求如何計費?
生成失敗不會收費。
輸出結果有快取嗎?
生成結果會儲存,並可透過任務 ID 取回。輸入內容不會快取。
可以商業使用嗎?
可以——除非模型授權明確限制,否則每個版本都包含商業使用權;若有例外,會在版本頁面標示。
速率限制怎麼算?
每個金鑰的速率限制會依使用等級而提升。最新限制請參考定價頁面。
如果遇到問題,要去哪裡回報?
請在公開的 GitHub repo 開 issue,或寄信給支援。