aliyun-happyhorse-i2v
Installation
SKILL.md
HappyHorse 1.0 Image-to-Video (First Frame)
Validation
mkdir -p output/aliyun-happyhorse-i2v
python -m py_compile skills/ai/video/aliyun-happyhorse-i2v/scripts/i2v_happyhorse.py && echo "py_compile_ok" > output/aliyun-happyhorse-i2v/validate.txt
Pass criteria: command exits 0 and output/aliyun-happyhorse-i2v/validate.txt is generated.
Output And Evidence
- Save task IDs, polling responses, and final video URLs to
output/aliyun-happyhorse-i2v/. - 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-i2v— first-frame image-to-video; output aspect ratio follows the input image automatically
Capabilities
| Capability | Description | Required media |
|---|---|---|
| First-frame video | Generate a video from one first-frame image, optionally guided by a text prompt | first_frame (exactly 1) |
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-i2vinput.prompt(string, optional) — up to 5000 non-CJK / 2500 CJK charactersinput.media(array, required) — exactly one element with:type:first_frameurl: public HTTP/HTTPS URL of the first-frame image
parameters.resolution(string, optional) —720Por1080P(default:1080P)parameters.duration(integer, optional) — video length in seconds, range [3, 15] (default: 5)parameters.watermark(boolean, optional) — bottom-right "Happy Horse" watermark (default:true)parameters.seed(integer, optional) — range [0, 2147483647]
The output video aspect ratio follows the input first-frame image; ratio is not supported for i2v.
Media input limits
First-frame image (type=first_frame):
- Formats: JPEG, JPG, PNG, WEBP
- Resolution: width and height ≥ 300 pixels
- Aspect ratio: 1:2.5 ~ 2.5:1
- Max size: 10 MB
Response (task creation)
output.task_id(string) — 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, 24fps) 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.input_video_duration(integer) — fixed 0 for i2vusage.SR(integer) — output resolution tierusage.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_i2v_task(req: dict) -> str:
"""Create an image-to-video task and return task_id."""
payload = {
"model": "happyhorse-1.0-i2v",
"input": {
"prompt": req.get("prompt", ""),
"media": [{"type": "first_frame", "url": req["first_frame_url"]}],
},
"parameters": {
"resolution": req.get("resolution", "1080P"),
"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 — first-frame only
task_id = create_i2v_task({
"first_frame_url": "https://cdn.translate.alibaba.com/r/wanx-demo-1.png",
"prompt": "一只猫在草地上奔跑",
"duration": 5,
})
# 720P with custom seed for reproducibility
task_id = create_i2v_task({
"first_frame_url": "https://example.com/portrait.jpg",
"prompt": "Slow head turn, soft window light",
"resolution": "720P",
"duration": 8,
"seed": 42,
})
Error handling
| Error | Likely cause | Action |
|---|---|---|
401 / InvalidApiKey |
Missing or invalid DASHSCOPE_API_KEY |
Check env var or credentials file |
400 InvalidParameter |
Wrong resolution, duration out of [3,15], image too small or wrong format | Validate parameters and image |
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-i2v/videos/ - Override base dir with
OUTPUT_DIR.
Anti-patterns
- Do not use any model ID other than
happyhorse-1.0-i2v. - Do not call this API synchronously — async header is required.
- Do not pass
ratio— output aspect ratio follows the first-frame image automatically. - Do not pass more than 1 first-frame, or any
last_frame/reference_image/video— onlyfirst_frameis supported. - Video URLs expire after 24 hours; download and persist immediately.
- Do not use this skill for pure text-to-video (use
aliyun-happyhorse-t2v), reference-image fusion (aliyun-happyhorse-r2v), or video editing (aliyun-happyhorse-videoedit).
Workflow
- Confirm intent: single first-frame image with optional text prompt.
- Validate the image meets format / size / resolution / aspect-ratio limits.
- 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.