Skip to content
TrustedSkillsbeta
Back to all skills

Qwen Image 2

Listed
tul-sh·vlatest·ai-ml

Generates detailed, high-quality images from text prompts using the Qwen-Image-2 model for creative visualization.

Install on your platform

This skill no longer installs under the name qwen-image-2. tul-sh/skills is deleted or private, so it cannot be installed from.

We check each listing against its upstream repository with the rules the skills CLI uses, last on 2026-10-22. We don't show a command we know will fail.

Repository install instructions

What we know about this skill

Publisher

tul-sh

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

Nobody has reviewed this code. TrustedSkills indexes and links skills; it does not audit, run or scan them. A skill runs with whatever access you give your agent — read the source before you install it.

Automated safety checks

scanned

We could not read this skill's source, so none of the checks below were run.

Not scanned. repository not found or private Source recorded as tul-sh/skills.
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

The qwen-image-2 skill enables AI agents to process and analyze images with advanced vision capabilities. It supports tasks such as image classification, object detection, and generating descriptive text from visual content.

When to use it

  • To extract details from images for data analysis or documentation.
  • For automating quality checks in manufacturing by identifying defects in product images.
  • When creating accessible content by describing images for visually impaired users.

Key capabilities

  • Image classification with high accuracy
  • Object detection and localization within images
  • Generating natural language descriptions of visual content

Example prompts

  • "Describe the objects present in this image."
  • "Identify any defects in the product shown."
  • "What is the main subject of this photo?"

Tips & gotchas

  • Ensure that input images are clear and well-lit for optimal results.
  • Be aware that performance may vary based on the complexity and context of the visual content provided.