aliyun-happyhorse-t2v

This skill wraps Alibaba Cloud's HappyHorse 1.0 text-to-video model through the async DashScope video-synthesis API. Submit a text prompt and configure resolution (720P or 1080P), aspect ratio, duration (3–15 seconds), and optional seed for reproducibility; the skill polls for task completion and returns your generated MP4 video URL.

aliyun-happyhorse-t2v generates MP4 videos from text prompts via Alibaba Cloud's DashScope HappyHorse 1.0 model.

AI-generated summary based on this skill's SKILL.md

★ 397 ⁮ 34 MIT updated 2026-07-18 by cinience

Install

cinience/alicloud-skills/aliyun-happyhorse-t2v · repository language: Python

Manual (git clone) CLI (skillfed)

git clone https://github.com/cinience/alicloud-skills
cp -r alicloud-skills/skills/ai/video/aliyun-happyhorse-t2v ~/.claude/skills/aliyun-happyhorse-t2v

npx skillfed install cinience/alicloud-skills/aliyun-happyhorse-t2v

Frequently asked questions

AI-generated answers based on this skill's SKILL.md and metadata

How does aliyun-happyhorse-t2v generate video from text prompt?

aliyun-happyhorse-t2v wraps Alibaba Cloud's HappyHorse 1.0 model via the DashScope API. You submit a text prompt along with your desired resolution (720P or 1080P), aspect ratio, and duration (3–15 seconds). The skill handles async task submission, polls for completion, and returns your generated MP4 video URL.

What text-to-video synthesis parameters can aliyun-happyhorse-t2v control?

aliyun-happyhorse-t2v lets you control resolution, aspect ratio, video duration (3–15 seconds), watermark settings, and an optional seed for reproducible generation. These parameters shape how the HappyHorse 1.0 model synthesizes your text description into video.

Can I create video from text description using aliyun-happyhorse-t2v?

Yes. aliyun-happyhorse-t2v accepts text descriptions as input prompts and generates corresponding MP4 videos. Configure your desired resolution, aspect ratio, and duration, then the skill submits the request to Alibaba Cloud's async DashScope API and retrieves your video URL once synthesis completes.

How does aliyun-happyhorse-t2v handle async video generation?

aliyun-happyhorse-t2v implements async video synthesis via DashScope API on Alibaba Cloud. After submitting your text prompt and parameters, the skill automatically polls the task status and retrieves your generated video URL when ready, eliminating the need for manual status checking.

What output formats and resolutions does aliyun-happyhorse-t2v support?

aliyun-happyhorse-t2v generates MP4 videos at 720P or 1080P resolution with customizable aspect ratios. Video duration ranges from 3 to 15 seconds, and you can control additional parameters like watermark presence and seed values for consistent results.

Is aliyun-happyhorse-t2v open source?

Yes, aliyun-happyhorse-t2v is released under the MIT license, making it freely available for both commercial and personal use with minimal restrictions.

SKILL.md

rendered from the published skill — quoted content, verbatim

HappyHorse 1.0 Text-to-Video

Validation

mkdir -p output/aliyun-happyhorse-t2v
python -m py_compile skills/ai/video/aliyun-happyhorse-t2v/scripts/t2v_happyhorse.py &amp;&amp; echo "py_compile_ok" &gt; output/aliyun-happyhorse-t2v/validate.txt

Pass criteria: command exits 0 and output/aliyun-happyhorse-t2v/validate.txt is generated.

Output And Evidence

Save task IDs, polling responses, and final video URLs to output/aliyun-happyhorse-t2v/.
Keep at least one end-to-end run log for troubleshooting.

Prerequisites

Install dependencies (recommended in a venv):

python3 -m venv .venv
. .venv/bin/activate
python -m pip install requests

Set DASHSCOPE_API_KEY in your environment, or add dashscope_api_key to ~/.alibabacloud/credentials.

Critical model names

happyhorse-1.0-t2v — text-to-video, supports resolution, ratio, duration, watermark and seed

(truncated - see the full file via the links below)

Read as markdown · JSON record · Browse the source repository

File tree — 4 files

skills/ai/video/aliyun-happyhorse-t2v/SKILL.md
skills/ai/video/aliyun-happyhorse-t2v/references/api_reference.md
skills/ai/video/aliyun-happyhorse-t2v/references/sources.md
skills/ai/video/aliyun-happyhorse-t2v/scripts/t2v_happyhorse.py

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