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happyhorse-videolisted

Generate and edit AI videos with Happy Horse via AceDataCloud API. Use when creating videos from text prompts, animating a first-frame image, generating scenes from up to 9 subject or style reference images, or editing an existing video with optional references. Supports 720P/1080P output, 3-15 second generation, aspect-ratio control, audio preservation, seeds, callbacks, and asynchronous task polling.
AceDataCloud/Skills · ★ 13 · AI & Automation · score 73
Install: claude install-skill AceDataCloud/Skills
# Happy Horse Video Generation and Editing Use Happy Horse through AceDataCloud for text-to-video, first-frame animation, reference-guided generation, and video editing. > **Setup:** See [authentication](../_shared/authentication.md) for token setup. ## Choose an Action | Goal | `action` | Valid models | Required input | |---|---|---|---| | Generate from text | `generate` | `happyhorse-1.0-t2v`, `happyhorse-1.1-t2v` | `prompt` | | Animate one image | `image_to_video` | `happyhorse-1.0-i2v`, `happyhorse-1.1-i2v` | `image_url` | | Generate from references | `reference_to_video` | `happyhorse-1.0-r2v`, `happyhorse-1.1-r2v` | `prompt`, 1-9 `image_urls` | | Edit a video | `video_edit` | `happyhorse-1.0-video-edit` | `prompt`, `video_url` | The 1.1 model is the default where available. Video editing currently has only a 1.0 model. ## Quick Start Submit text-to-video asynchronously: ```bash curl -X POST https://api.acedata.cloud/happyhorse/videos \ -H "Authorization: Bearer $ACEDATACLOUD_API_TOKEN" \ -H "Content-Type: application/json" \ -d '{ "action": "generate", "model": "happyhorse-1.1-t2v", "prompt": "A cinematic white horse crossing a snowy ridge at sunrise, wind moving its mane, slow camera push", "resolution": "720P", "ratio": "16:9", "duration": 5, "async": true }' ``` The response contains a `task_id`. Poll it after about 15 seconds: ```bash curl -X POST https://api.acedata.cloud/happyhorse/tasks \ -H "Authorization: Bearer $