aliyun-happyhorse-t2v
Installation
SKILL.md
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 && echo "py_compile_ok" > 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_KEYin your environment, or adddashscope_api_keyto~/.alibabacloud/credentials.
Critical model names
happyhorse-1.0-t2v— text-to-video, supports resolution, ratio, duration, watermark and seed control
Capabilities
| Capability | Description | Required input |
|---|---|---|
| Text-to-video | Generate a physically realistic video from a text prompt only | prompt |
API endpoint (async only)
POST https://dashscope.aliyuncs.com/api/v1/services/aigc/video-generation/video-synthesis
Required headers:
Authorization: Bearer $DASHSCOPE_API_KEYContent-Type: application/jsonX-DashScope-Async: enable
Singapore endpoint: replace dashscope.aliyuncs.com with dashscope-intl.aliyuncs.com.
Polling endpoint: GET https://dashscope.aliyuncs.com/api/v1/tasks/{task_id} — recommended interval 15s.
Normalized interface
Request
model(string, required) — fixedhappyhorse-1.0-t2vinput.prompt(string, required) — up to 5000 non-CJK characters or 2500 CJK characters; longer is truncatedparameters.resolution(string, optional) —720Por1080P(default:1080P)parameters.ratio(string, optional) —16:9(default),9:16,1:1,4:3,3:4parameters.duration(integer, optional) — video length in seconds, range [3, 15] (default: 5)parameters.watermark(boolean, optional) — add bottom-right "Happy Horse" watermark (default:true)parameters.seed(integer, optional) — range [0, 2147483647]
Response (task creation)
output.task_id(string) — use for polling, valid 24 hoursoutput.task_status(string) —PENDING|RUNNING|SUCCEEDED|FAILED|CANCELED|UNKNOWNrequest_id(string)
Response (task result, on SUCCEEDED)
output.video_url(string) — generated MP4 (H.264) URL, valid 24 hoursoutput.orig_prompt(string)output.submit_time/output.scheduled_time/output.end_time(string)usage.duration(integer) — billable duration in secondsusage.output_video_duration(integer)usage.SR(integer) — output resolution tierusage.ratio(string)usage.video_count(integer) — fixed 1
Quick start (Python + HTTP)
import os
import time
import requests
API_KEY = os.getenv("DASHSCOPE_API_KEY")
BASE_URL = "https://dashscope.aliyuncs.com/api/v1"
def create_t2v_task(req: dict) -> str:
"""Create a text-to-video task and return task_id."""
payload = {
"model": "happyhorse-1.0-t2v",
"input": {"prompt": req["prompt"]},
"parameters": {
"resolution": req.get("resolution", "1080P"),
"ratio": req.get("ratio", "16:9"),
"duration": req.get("duration", 5),
"watermark": req.get("watermark", True),
},
}
if req.get("seed") is not None:
payload["parameters"]["seed"] = req["seed"]
resp = requests.post(
f"{BASE_URL}/services/aigc/video-generation/video-synthesis",
headers={
"Authorization": f"Bearer {API_KEY}",
"Content-Type": "application/json",
"X-DashScope-Async": "enable",
},
json=payload,
)
resp.raise_for_status()
return resp.json()["output"]["task_id"]
def poll_task(task_id: str, interval: int = 15) -> dict:
while True:
resp = requests.get(
f"{BASE_URL}/tasks/{task_id}",
headers={"Authorization": f"Bearer {API_KEY}"},
)
resp.raise_for_status()
data = resp.json()
if data["output"]["task_status"] in ("SUCCEEDED", "FAILED", "CANCELED"):
return data
time.sleep(interval)
Usage examples
# Minimal — pure text prompt
task_id = create_t2v_task({
"prompt": "一座由硬纸板和瓶盖搭建的微型城市,在夜晚焕发出生机。",
"duration": 5,
})
# Vertical short video at 720P
task_id = create_t2v_task({
"prompt": "A neon cyberpunk alley at midnight, rain reflections, slow dolly forward.",
"resolution": "720P",
"ratio": "9:16",
"duration": 8,
})
Error handling
| Error | Likely cause | Action |
|---|---|---|
401 / InvalidApiKey |
Missing or invalid DASHSCOPE_API_KEY |
Check env var or credentials file |
400 InvalidParameter |
Unsupported resolution/ratio, duration out of [3,15], wrong model name | Validate parameters |
current user api does not support synchronous calls |
Missing X-DashScope-Async: enable header |
Add the required header |
task_status: UNKNOWN |
task_id older than 24 hours | Re-create the task |
| 429 | RPS or quota exceeded | Retry with backoff; query RPS default 20 |
Output location
- Default output:
output/aliyun-happyhorse-t2v/videos/ - Override base dir with
OUTPUT_DIR.
Anti-patterns
- Do not use any model ID other than
happyhorse-1.0-t2v. - Do not call this API synchronously — async header is required.
- Do not pass
media,first_frame, orreference_image— t2v takes only a text prompt. - Video and task URLs expire after 24 hours; download and persist immediately.
- Do not use this skill for image- or video-conditioned generation — use
aliyun-happyhorse-i2v,aliyun-happyhorse-r2v, oraliyun-happyhorse-videoeditinstead.
Workflow
- Confirm pure text-to-video intent (no input image/video).
- Build the prompt and choose
resolution,ratio,duration. - Create async task and poll
/tasks/{task_id}every ~15s. - Download
output.video_urlbefore the 24-hour expiration.
References
- See
references/api_reference.mdfor full HTTP API details. - See
references/sources.mdfor source links.