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BytesAgain β€Ί Skills β€Ί Alicloud Ai Video Wan Video
πŸ¦€ ClawHub

Alicloud Ai Video Wan Video

by @cinience

Generate videos with Model Studio DashScope SDK using Wan i2v models (wan2.6-i2v-flash, wan2.6-i2v, wan2.6-i2v-us). Use when implementing or documenting vide...

Versionv1.0.2
Downloads1,884
#clawhub
TERMINAL
clawhub install alicloud-ai-video-wan-video

πŸ“– About This Skill

name: alicloud-ai-video-wan-video description: Generate videos with Model Studio DashScope SDK using Wan i2v models (wan2.6-i2v-flash, wan2.6-i2v, wan2.6-i2v-us). Use when implementing or documenting video.generate requests/responses, mapping prompt/negative_prompt/duration/fps/size/seed/reference_image/motion_strength, or integrating video generation into the video-agent pipeline. version: 1.0.0

Category: provider

Model Studio Wan Video

Validation

mkdir -p output/alicloud-ai-video-wan-video
python -m py_compile skills/ai/video/alicloud-ai-video-wan-video/scripts/generate_video.py && echo "py_compile_ok" > output/alicloud-ai-video-wan-video/validate.txt

Pass criteria: command exits 0 and output/alicloud-ai-video-wan-video/validate.txt is generated.

Output And Evidence

  • Save task IDs, polling responses, and final video URLs to output/alicloud-ai-video-wan-video/.
  • Keep one end-to-end run log for troubleshooting.

    • Provide consistent video generation behavior for the video-agent pipeline by standardizing video.generate inputs/outputs and using DashScope SDK (Python) with the exact model name.

    Critical model names

    Use one of these exact model strings:

  • wan2.2-t2v-plus
  • wan2.2-t2v-flash
  • wan2.6-i2v-flash
  • wan2.6-i2v
  • wan2.6-i2v-us
  • wan2.6-t2v-us
  • wanx2.1-t2v-turbo

    • Prerequisites

  • Install SDK (recommended in a venv to avoid PEP 668 limits):

    • python3 -m venv .venv
. .venv/bin/activate
python -m pip install dashscope
  • Set DASHSCOPE_API_KEY in your environment, or add dashscope_api_key to ~/.alibabacloud/credentials (env takes precedence).

    • Normalized interface (video.generate)

    Request

  • prompt (string, required)
  • negative_prompt (string, optional)
  • duration (number, required) seconds
  • fps (number, required)
  • size (string, required) e.g. 1280*720
  • seed (int, optional)
  • reference_image (string | bytes, optional for t2v, required for i2v family models)
  • motion_strength (number, optional)

    • Response

  • video_url (string)
  • duration (number)
  • fps (number)
  • seed (int)

    • Quick start (Python + DashScope SDK)

    Video generation is usually asynchronous. Expect a task ID and poll until completion. Note: Wan i2v models require an input image; pure t2v models can omit reference_image.

    import os
from dashscope import VideoSynthesis
    Prefer env var for auth: export DASHSCOPE_API_KEY=...
    

    Or use ~/.alibabacloud/credentials with dashscope_api_key under [default].
    def generate_video(req: dict) -> dict:
    payload = {
        "model": req.get("model", "wan2.6-i2v-flash"),
        "prompt": req["prompt"],
        "negative_prompt": req.get("negative_prompt"),
        "duration": req.get("duration", 4),
        "fps": req.get("fps", 24),
        "size": req.get("size", "1280*720"),
        "seed": req.get("seed"),
        "motion_strength": req.get("motion_strength"),
        "api_key": os.getenv("DASHSCOPE_API_KEY"),
    }
        if req.get("reference_image"):
        # DashScope expects img_url for i2v models; local files are auto-uploaded.
        payload["img_url"] = req["reference_image"]
        response = VideoSynthesis.call(**payload)
        # Some SDK versions require polling for the final result.
    # If a task_id is returned, poll until status is SUCCEEDED.
    result = response.output.get("results", [None])[0]
        return {
        "video_url": None if not result else result.get("url"),
        "duration": response.output.get("duration"),
        "fps": response.output.get("fps"),
        "seed": response.output.get("seed"),
    }

    Async handling (polling)

    import os
from dashscope import VideoSynthesis
    task = VideoSynthesis.async_call(
    model=req.get("model", "wan2.6-i2v-flash"),
    prompt=req["prompt"],
    img_url=req["reference_image"],
    duration=req.get("duration", 4),
    fps=req.get("fps", 24),
    size=req.get("size", "1280*720"),
    api_key=os.getenv("DASHSCOPE_API_KEY"),
)
    final = VideoSynthesis.wait(task)
video_url = final.output.get("video_url")

    Operational guidance

  • Video generation can take minutes; expose progress and allow cancel/retry.
  • Cache by (prompt, negative_prompt, duration, fps, size, seed, reference_image hash, motion_strength).
  • Store video assets in object storage and persist only URLs in metadata.
  • reference_image can be a URL or local path; the SDK auto-uploads local files.
  • If you get Field required: input.img_url, the reference image is missing or not mapped.

    • Size notes

  • Use WxH format (e.g. 1280*720).
  • Prefer common sizes; unsupported sizes can return 400.

    • Output location

  • Default output: output/alicloud-ai-video-wan-video/videos/
  • Override base dir with OUTPUT_DIR.

    • Anti-patterns

  • Do not invent model names or aliases; use official Wan i2v model IDs only.
  • Do not block the UI without progress updates.
  • Do not retry blindly on 4xx; handle validation failures explicitly.

    • Workflow

    1) Confirm user intent, region, identifiers, and whether the operation is read-only or mutating. 2) Run one minimal read-only query first to verify connectivity and permissions. 3) Execute the target operation with explicit parameters and bounded scope. 4) Verify results and save output/evidence files.

    References

  • See references/api_reference.md for DashScope SDK mapping and async handling notes.

  • Source list: references/sources.md

    • βš™οΈ Configuration

  • Install SDK (recommended in a venv to avoid PEP 668 limits):

    • python3 -m venv .venv
. .venv/bin/activate
python -m pip install dashscope
  • Set DASHSCOPE_API_KEY in your environment, or add dashscope_api_key to ~/.alibabacloud/credentials (env takes precedence).

    • πŸ”’ Constraints

    mkdir -p output/alicloud-ai-video-wan-video
python -m py_compile skills/ai/video/alicloud-ai-video-wan-video/scripts/generate_video.py && echo "py_compile_ok" > output/alicloud-ai-video-wan-video/validate.txt

    Pass criteria: command exits 0 and output/alicloud-ai-video-wan-video/validate.txt is generated.