A professional-grade image generation skill powered by Alibaba Cloud's Qwen models for high-fidelity text-to-image creation.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install qwen-image-gen-lan
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install qwen-image-gen-lan using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Qwen Image Gen skill integrates Alibaba Cloud's powerful Qwen-Image multimodal models into your workflow. This skill enables AI agents to generate high-resolution images based on natural language descriptions in both Chinese and English. By leveraging the DashScope API, it provides access to specialized models like qwen-image-2.0-pro for superior text rendering and qwen-image-max for photorealistic results.
Designed for versatility, this Openclaw Skills integration allows users to specify precise technical parameters including aspect ratios, negative prompts, and intelligent prompt extension. It is an essential tool for developers and creators needing programmatic access to cutting-edge generative AI imagery within their autonomous agent environments.
To use this skill, ensure you have an active Alibaba Cloud DashScope account and set your API key:
# Set your API Key environment variable
export DASHSCOPE_API_KEY="your_api_key_here"
You can then trigger the skill via a standard API request or through an Openclaw Skills enabled agent.
The skill interacts with the DashScope API and returns structured data as follows:
| Data Point | Type | Description |
|---|---|---|
image_url |
String | A temporary public URL for the generated image (valid for 24 hours). |
usage |
Object | Metadata including width, height, and image count. |
request_id |
String | Unique identifier for tracking and debugging requests. |
finish_reason |
String | Status indicator (e.g., 'stop' upon successful completion). |
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