变体 · Alibaba / HappyHorse

HappyHorse happyhorse-image-to-video API

同一套 API，同一个 SDK — 切换变体只需改一个参数。

运行中 · video · 可商用

# Works with Claude Code, Codex, Gemini CLI, Cursor, and 50+ agents
npx skills add runapi-ai/happyhorse -g

The -g flag installs globally so every project picks it up.

Or paste this prompt to your AI agent:

Install 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.

切换变体

happyhorse-character happyhorse-edit-video happyhorse-text-to-video

概览

happyhorse-image-to-video 在 HappyHorse 家族中处于质量与成本的最佳平衡点。

USD 按次定价
失败不计费
模型支持时流式
Schema 校验后的工具调用

定价

失败的生成不计费

Image to video

$0.28-$0.48 / second

Output resolution: 720p $0.28

Output resolution: 1080p $0.48

规格

技术细节

模型 ID	happyhorse-image-to-video
提供方	Alibaba
模态	video
任务类型	asynchronous
计费单位	second
API 端点	/api/v1/happyhorse/image_to_video
商用许可	允许商用
状态	运行中

快速开始

Quickstart — happyhorse-image-to-video

runapi.ai

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-image-to-video",
  "image_url": "https://cdn.runapi.ai/public/samples/image.jpg",
  "prompt": "生成一段 5 秒 1080p 电影感视频：纸马在夜晚的迷你纸板城市中奔跑。"
}'

import { HappyhorseClient } from "@runapi.ai/happyhorse";

const client = new HappyhorseClient();
const result = await client.imageToVideo.run({
    model: "happyhorse-image-to-video",
    image_url: "https://cdn.runapi.ai/public/samples/image.jpg",
    prompt: "生成一段 5 秒 1080p 电影感视频：纸马在夜晚的迷你纸板城市中奔跑。",
});

require "runapi/happyhorse"

client = RunApi::Happyhorse::Client.new
result = client.image_to_video.run(
    model: "happyhorse-image-to-video",
    image_url: "https://cdn.runapi.ai/public/samples/image.jpg",
    prompt: "生成一段 5 秒 1080p 电影感视频：纸马在夜晚的迷你纸板城市中奔跑。"
)

@runapi.ai/happyhorse v1

工作流程