aliyun-wan-i2v

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Use when generating videos from images with DashScope Wan 2.7 image-to-video model (wan2.7-i2v). Use when implementing first-frame video generation, first+last frame interpolation, video continuation, or audio-driven video synthesis via the video-synthesis async API.

4installs

Sourcecinience/alicloud-skills

Added on2026-04-20

NPX Install

npx skill4agent add cinience/alicloud-skills aliyun-wan-i2v

SKILL.md Content

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Wan 2.7 Image-to-Video

Validation

bash

mkdir -p output/aliyun-wan-i2v
python -m py_compile skills/ai/video/aliyun-wan-i2v/scripts/generate_i2v.py && echo "py_compile_ok" > output/aliyun-wan-i2v/validate.txt

Pass criteria: command exits 0 and

output/aliyun-wan-i2v/validate.txt

is generated.

Output And Evidence

Save task IDs, polling responses, and final video URLs to
```
output/aliyun-wan-i2v/
```
.
Keep at least one end-to-end run log for troubleshooting.

Prerequisites

Install SDK (recommended in a venv):

bash

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

Set

DASHSCOPE_API_KEY

in your environment, or add

dashscope_api_key

~/.alibabacloud/credentials

Critical model names

```
wan2.7-i2v
```
— supports first-frame, first+last frame, video continuation, and audio-driven generation

Capabilities

Capability	Description	Required media types
First-frame video	Generate video from a single image	`first_frame`
First+last frame	Interpolate video between two images	`first_frame` + `last_frame`
Video continuation	Extend an existing video clip	`first_clip`
Audio-driven	Drive video with audio (lip-sync, rhythm)	`first_frame` + `driving_audio`

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
```

Singapore endpoint: replace

dashscope.aliyuncs.com

with

dashscope-intl.aliyuncs.com

Normalized interface

Request

```
prompt
```
(string, optional) — up to 5000 characters, describes desired video content
```
negative_prompt
```
(string, optional) — up to 500 characters
```
media
```
(array, required) — media objects with
```
type
```
and
```
url
```
fields:
- ```
type
```
  :
```
first_frame
```
  |
```
last_frame
```
  |
```
driving_audio
```
  |
```
first_clip
```
- ```
url
```
  : public URL (HTTP/HTTPS) or OSS temporary URL
```
resolution
```
(string, optional) —
```
720P
```
or
```
1080P
```
(default:
```
1080P
```
)
```
duration
```
(integer, optional) — video length in seconds, range [2, 15] (default: 5)
```
prompt_extend
```
(boolean, optional) — AI prompt rewriting (default: true)
```
watermark
```
(boolean, optional) — add "AI generated" watermark (default: false)
```
seed
```
(integer, optional) — range [0, 2147483647]

Media input limits

Images (first_frame, last_frame):

Formats: JPEG, JPG, PNG (no transparency), BMP, WEBP
Resolution: [240, 8000] pixels per side
Aspect ratio: 1:8 to 8:1
Max size: 20MB

Audio (driving_audio):

Formats: wav, mp3
Duration: 2-30s
Max size: 15MB
Auto-truncated to
```
duration
```
value if longer

Video (first_clip):

Formats: mp4, mov
Duration: 2-10s
Resolution: [240, 4096] pixels per side
Aspect ratio: 1:8 to 8:1
Max size: 100MB

Response (task creation)

```
output.task_id
```
(string) — use for polling, 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.orig_prompt
```
(string) — original prompt
```
output.actual_prompt
```
(string) — rewritten prompt (if prompt_extend enabled)
```
usage.video_count
```
(integer)
```
usage.video_duration
```
(integer) — duration in seconds

Quick start (Python + HTTP)

python

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_i2v_task(req: dict) -> str:
    """Create an image-to-video task and return task_id."""
    payload = {
        "model": "wan2.7-i2v",
        "input": {
            "prompt": req.get("prompt", ""),
            "media": req["media"],
        },
        "parameters": {
            "resolution": req.get("resolution", "1080P"),
            "duration": req.get("duration", 5),
            "prompt_extend": req.get("prompt_extend", True),
            "watermark": req.get("watermark", False),
        },
    }
    if req.get("negative_prompt"):
        payload["input"]["negative_prompt"] = req["negative_prompt"]
    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()
    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)

Media combination examples