OpenClaw

alicloud-ai-video-wan-video

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.

cinience0 来源安装数☆ 0 仓库 Starsv1.0.0

查看来源 ↗安装与使用 SKILL.md ↗

安装与使用

请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求，再添加到工作流。

SkillHub CLI

skillhub install cinience/alicloud-ai-video-wan-video

打开来源仓库，查看说明和兼容环境后，按来源提供的命令或步骤安装。

将来源链接提供给你的 Agent，让它先读取说明、核对依赖，并向你说明将执行的安装步骤。

查看来源 ↗使用指南

技能说明

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

# Pref...

来源信息

Source: github
Repository: openclaw/skills
Path: skills/cinience/alicloud-ai-video-wan-video
Version: 1.0.0
Commit: 0e18dd0b812cd88ae8809bd6b23215478eb37502
分类来源: rules
状态: active
可见性: public

这些信息来自收录时的来源分析，可能滞后；使用前请核对最新来源文件。

来源内容

SKILL.md

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...

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