alicloud-ai-video-wan-video

Category: provider

# Model Studio Wan Video

## Validation

```bash
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):

```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` 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`.

```python
import os
from dashscope import VideoSynthesis

# Pref...