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HappyHorse Video Generation

技能 已验证 活跃

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

目的

Generate and edit physically realistic videos with advanced AI models for content creation, product demos, and social media.

功能

  • Text-to-video generation
  • Image-to-video animation
  • Reference-based character video generation
  • Natural language video editing
  • Character preservation across videos
  • 720P/1080P resolution
  • Up to 15 seconds duration

使用场景

  • Creating physically realistic video content
  • Editing existing videos with natural language prompts
  • Generating character-consistent video content
  • Producing product demonstrations
  • Creating social media videos

非目标

  • Generating videos longer than 15 seconds
  • Operating without the inference.sh CLI
  • Providing direct LLM capabilities beyond video-related prompts

工作流

  1. Login to the inference.sh CLI.
  2. Select the appropriate HappyHorse model (T2V, I2V, R2V, Video Edit).
  3. Construct input JSON with relevant parameters (prompt, duration, images, etc.).
  4. Execute the `belt app run` command with the selected model and input.
  5. Receive and review the generated or edited video.

实践

  • Video generation
  • Video editing
  • AI model integration

先决条件

  • Install belt CLI (`npx skills add belt-sh/cli`)
  • Login to inference.sh CLI (`belt login`)

Scope

  • info:Tool surface sizeThe `happyhorse` skill itself exposes a single primary tool (`alibaba/happyhorse-1-0-t2v` and its variants), but the overall `inference-sh/skills` package is extensive.

安装

npx skills add inferen-sh/skills

通过 npx 运行 Vercel skills CLI(skills.sh)— 需要本地安装 Node.js,以及至少一个兼容 skills 的智能体(Claude Code、Cursor、Codex 等)。前提是仓库遵循 agentskills.io 格式。

质量评分

已验证
98 /100
1 day ago 分析

信任信号

最近提交1 day ago
GitHub 所有者 inferen-sh (opens in new tab)
星标433
许可证MIT
状态
查看源代码

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