HappyHorse Video Generation
Skill Verified ActiveGenerate 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
Generate and edit physically realistic videos with advanced AI models for content creation, product demos, and social media.
Features
- 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
Use Cases
- Creating physically realistic video content
- Editing existing videos with natural language prompts
- Generating character-consistent video content
- Producing product demonstrations
- Creating social media videos
Non-Goals
- Generating videos longer than 15 seconds
- Operating without the inference.sh CLI
- Providing direct LLM capabilities beyond video-related prompts
Workflow
- Login to the inference.sh CLI.
- Select the appropriate HappyHorse model (T2V, I2V, R2V, Video Edit).
- Construct input JSON with relevant parameters (prompt, duration, images, etc.).
- Execute the `belt app run` command with the selected model and input.
- Receive and review the generated or edited video.
Practices
- Video generation
- Video editing
- AI model integration
Prerequisites
- 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.
Installation
npx skills add inferen-sh/skillsRuns the Vercel skills CLI (skills.sh) via npx — needs Node.js locally and at least one installed skills-compatible agent (Claude Code, Cursor, Codex, …). Assumes the repo follows the agentskills.io format.
Quality Score
VerifiedTrust Signals
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