aliyun-kling-video（阿里云克林视频）

Kling V3 Video Generation

Validation

mkdir -p output/aliyun-kling-video
python -m py_compile skills/ai/video/aliyun-kling-video/scripts/generate_kling_video.py && echo "py_compile_ok" > output/aliyun-kling-video/validate.txt

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

Output And Evidence

• Save task IDs, polling responses, and final video URLs to output/aliyun-kling-video/.
• 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 (must be Beijing region API Key).
• Enable Kling in 百炼控制台 — search "kling" and activate.

Critical model names

• kling/kling-v3-video-generation — standard model: t2v, i2v (first frame, first+last frame)
• kling/kling-v3-omni-video-generation — omni model: adds reference-to-video, video editing, multi-subject references

Capabilities

API endpoint (async only)

POST https://dashscope.aliyuncs.com/api/v1/services/aigc/video-generation/video-synthesis

Required headers:

• Authorization: Bearer $DASHSCOPE_API_KEY
• Content-Type: application/json
• X-DashScope-Async: enable

Region: Beijing only. No Singapore endpoint.

Normalized interface

Request (input)

• prompt (string, conditional) — up to 2500 characters. Required for shot_type=intelligence. For omni reference-to-video, use <<<element_1>>>, <<<image_1>>>, <<<video_1>>> to reference media.
• negative_prompt (string, optional) — content to exclude
• media (array, optional) — media objects with type and url:

- Standard model types: first_frame, last_frame - Omni model types: first_frame, last_frame, refer, base, feature

• multi_shot (boolean, optional) — enable multi-shot generation (default: false)
• shot_type (string, conditional) — intelligence (AI auto-split) or customize (manual). Required when multi_shot=true.
• multi_prompt (array, optional) — per-shot prompts when shot_type=customize
• element_list (array, optional) — multi-subject element images (omni model only)
• keep_original_sound (string, optional) — no (default) or yes, for videos (omni model only)

Request (parameters)

• mode (string, optional) — pro (default, 1080P) or std (720P)
• aspect_ratio (string, conditional) — 16:9 (default), 9:16, 1:1. Required for t2v and reference-to-video.
• duration (integer, optional) — video length [3, 15] seconds (default: 5). When using reference video, [3, 10].
• audio (boolean, optional) — generate audio (default: false). Affects pricing.
• watermark (boolean, optional) — add "可灵 AI" watermark (default: false)

Media input limits

Images (first_frame, last_frame, refer):

• Formats: JPEG, JPG, PNG (no transparency)
• Resolution: [300, 8000] pixels per side
• Max size: 10MB

Videos (base, feature):

• Formats: mp4, mov
• Duration: 3-10s
• Resolution: [720, 2160] pixels per side
• Frame rate: 24-60 fps
• Max size: 200MB

Media combination rules

kling/kling-v3-video-generation:

• i2v first frame: first_frame (1 image)
• i2v first+last: first_frame + last_frame (1 each)

kling/kling-v3-omni-video-generation (all above plus):

• Reference: feature only (1 video), or refer only (up to 7 with elements), or feature+refer (1 video + up to 4 with elements), or feature+first_frame (1 video + 1 image)
• Video editing: base only (1 video), or base+refer (1 video + up to 4 with elements)

Response (task creation)

• output.task_id (string) — valid 24 hours
• output.task_status (string) — PENDING | RUNNING | SUCCEEDED | FAILED | CANCELED
• request_id (string)

Response (task result)

• output.video_url (string) — generated video URL
• output.watermark_video_url (string) — watermarked video URL
• usage.duration (integer), usage.size (string), usage.fps (integer), usage.audio (boolean)

Quick start (Python + HTTP)

import os
import json
import time
import requests

API_KEY = os.getenv("DASHSCOPE_API_KEY")
BASE_URL = "https://dashscope.aliyuncs.com/api/v1"

def create_kling_task(req: dict) -> str:
    """Create a Kling video generation task and return task_id."""
    payload = {
        "model": req.get("model", "kling/kling-v3-video-generation"),
        "input": {"prompt": req.get("prompt", "")},
        "parameters": {
            "mode": req.get("mode", "pro"),
            "duration": req.get("duration", 5),
            "audio": req.get("audio", False),
            "watermark": req.get("watermark", False),
        },
    }
    if req.get("aspect_ratio"):
        payload["parameters"]["aspect_ratio"] = req["aspect_ratio"]
    if req.get("negative_prompt"):
        payload["input"]["negative_prompt"] = req["negative_prompt"]
    if req.get("media"):
        payload["input"]["media"] = req["media"]

    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()
    data = resp.json()
    return data["output"]["task_id"]

def poll_task(task_id: str, interval: int = 15) -> dict:
    """Poll until task completes. Returns final response."""
    while True:
        resp = requests.get(
            f"{BASE_URL}/tasks/{task_id}",
            headers={"Authorization": f"Bearer {API_KEY}"},
        )
        resp.raise_for_status()
        data = resp.json()
        status = data["output"]["task_status"]
        if status in ("SUCCEEDED", "FAILED", "CANCELED"):
            return data
        time.sleep(interval)

Usage examples

# Text-to-video
task_id = create_kling_task({
    "prompt": "一只小猫在月光下奔跑",
    "aspect_ratio": "16:9",
    "duration": 5,
    "mode": "std",
})

# Image-to-video (first frame)
task_id = create_kling_task({
    "prompt": "花朵绽放的延时摄影",
    "media": [{"type": "first_frame", "url": "https://example.com/flower.jpg"}],
    "duration": 5,
})

# Reference-to-video with omni model
task_id = create_kling_task({
    "model": "kling/kling-v3-omni-video-generation",
    "prompt": "一只<<<element_1>>>在月光下奔跑",
    "media": [{"type": "refer", "url": "https://example.com/cat.jpg"}],
    "aspect_ratio": "16:9",
})

Error handling

Output location

• Default output: output/aliyun-kling-video/videos/
• Override base dir with OUTPUT_DIR.

Anti-patterns

• Do not use model names other than kling/kling-v3-video-generation or kling/kling-v3-omni-video-generation.
• Do not call this API synchronously — async header is required.
• Do not use refer, base, or feature media types with the standard model — use omni only.
• Do not mix incompatible media combinations.
• Video URLs expire; download and persist immediately.
• Beijing region only — do not use Singapore endpoint.

Workflow

1. Confirm user intent: t2v, i2v, reference-to-video, editing, or storyboard.
2. Select appropriate model (standard for basic t2v/i2v, omni for reference/editing).
3. Prepare media array with correct types and valid URLs.
4. Create async task and poll for results.
5. Download and save generated video before URL expiration.

References

• See references/api_reference.md for full HTTP API details.
• See references/sources.md for source links.