MCP HubMCP Hub
← Back to Skills

qwen-image

agentbay-ai
Updated 2 days ago
6 views
40
2
40
View on GitHub
Metaaiapi

About

This skill generates images using Alibaba Cloud's Qwen Image API, ideal for Chinese prompts or high-quality AI image generation. It supports multiple model versions and outputs images as URLs or saves them locally. Use it when developers need to integrate text-to-image functionality into their applications.

Quick Install

Claude Code

Recommended
Primary
npx skills add agentbay-ai/agentbay-skills -a claude-code
Plugin CommandAlternative
/plugin add https://github.com/agentbay-ai/agentbay-skills
Git CloneAlternative
git clone https://github.com/agentbay-ai/agentbay-skills.git ~/.claude/skills/qwen-image

Copy and paste this command in Claude Code to install this skill

Documentation

Qwen Image

Generate high-quality images using Alibaba Cloud's Qwen Image API (通义万相).

Usage

Generate an image (returns URL only):

uv run {baseDir}/scripts/generate_image.py --prompt "一副典雅庄重的对联悬挂于厅堂之中" --size "1664*928" --api-key sk-xxx

Generate and save locally:

uv run {baseDir}/scripts/generate_image.py --prompt "一副典雅庄重的对联悬挂于厅堂之中" --size "1664*928" --api-key sk-xxx

With custom model: Support qwen-image-max-2025-12-30 qwen-image-plus-2026-01-09 qwen-image-plus

uv run {baseDir}/scripts/generate_image.py --prompt "a beautiful sunset over mountains" --model qwen-image-plus-2026-01-09 --api-key sk-xxx

API Key

You can obtain the API key and run the image generation command in the following order.

  • Get apiKey from models.providers.bailian.apiKey in ~/.openclaw/openclaw.json
  • Or get from skills."qwen-image".apiKey in ~/.openclaw/openclaw.json
  • Or get from DASHSCOPE_API_KEY environment variable
  • Or Get your API key from: https://dashscope.console.aliyun.com/

Options

Sizes:

  • 1664*928 (default) - 16:9 landscape
  • 1024*1024 - Square format
  • 720*1280 - 9:16 portrait
  • 1280*720 - 16:9 landscape (smaller)

Additional flags:

  • --negative-prompt "unwanted elements" - Specify what to avoid
  • --no-prompt-extend - Disable automatic prompt enhancement
  • --watermark - Add watermark to generated image
  • --no-verify-ssl - Disable SSL certificate verification (use when behind corporate proxy)

Workflow

  1. Execute the generate_image.py script with the user's prompt
  2. Parse the script output and find the line starting with MEDIA_URL:
  3. Extract the image URL from that line (format: MEDIA_URL: https://...)
  4. Display the image to the user using markdown syntax: ![Generated Image](URL)
  5. Do NOT download or save the image unless the user specifically requests it

Notes

  • Supports both Chinese and English prompts
  • By default, returns image URL directly without downloading
  • The script prints MEDIA_URL: in the output - extract this URL and display it using markdown image syntax: ![generated image](URL)
  • Always look for the line starting with MEDIA_URL: in the script output and render the image for the user
  • Default negative prompt helps avoid common AI artifacts
  • Images are hosted on Alibaba Cloud OSS with temporary access URLs

GitHub Repository

agentbay-ai/agentbay-skills
Path: qwen-image
0

Related Skills

content-collections

Meta

This skill provides a production-tested setup for Content Collections, a TypeScript-first tool that transforms Markdown/MDX files into type-safe data collections with Zod validation. Use it when building blogs, documentation sites, or content-heavy Vite + React applications to ensure type safety and automatic content validation. It covers everything from Vite plugin configuration and MDX compilation to deployment optimization and schema validation.

View skill

polymarket

Meta

This skill enables developers to build applications with the Polymarket prediction markets platform, including API integration for trading and market data. It also provides real-time data streaming via WebSocket to monitor live trades and market activity. Use it for implementing trading strategies or creating tools that process live market updates.

View skill

creating-opencode-plugins

Meta

This skill helps developers create OpenCode plugins that hook into 25+ event types like commands, files, and LSP operations. It provides the plugin structure, event API specifications, and implementation patterns for JavaScript/TypeScript modules. Use it when you need to intercept, monitor, or extend the OpenCode AI assistant's lifecycle with custom event-driven logic.

View skill

sglang

Meta

SGLang is a high-performance LLM serving framework that specializes in fast, structured generation for JSON, regex, and agentic workflows using its RadixAttention prefix caching. It delivers significantly faster inference, especially for tasks with repeated prefixes, making it ideal for complex, structured outputs and multi-turn conversations. Choose SGLang over alternatives like vLLM when you need constrained decoding or are building applications with extensive prefix sharing.

View skill