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Generating images with Qwen Image 3 v1.0.0

Use this resource to generate or retouch images with precise text rendering

New

  • 418 downloads
  • 164 likes
  • 246 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install qwen-image-generation

With no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.

First time: connect the CLI with

npx --yes palatekit@latest login

The agent sends your prompt to the Qwen Image 3 API to generate an image, or edits an image with one to three references. It picks the model for the need: volume or fine detail. You get one or more images, including posters with legible text.

Mostly picked by

Updated November 2, 2026

Card for the “Generating images with Qwen Image 3” skill

Details

Generates with
Your agent's model
Licence
Apache-2.0

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What you get

  • SKILL.md: models, generation and editing with references
  • SKILL.md: async tasks and batch output

Good fit for

  • You want a bilingual poster with legible text
  • You produce several variants of one visual

Not for

    Tags

    • Qwen
    • AI image
    • text rendering
    • batch

    About

    You say

    “Generate a bilingual product poster with a clearly readable title, square format.”

    Card for the “Generating images with Qwen Image 3” skill

    Skill published by acedatacloud under the Apache-2.0 license, delivered in its original version.

    Show more

    How to use it

    1. Install the skill in your agent's skills folder
    2. Ask your agent to generate or retouch images with precise text rendering
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE0.6 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md1.8 KB

    Origin and licence

    Listed unmodified

    Author
    acedatacloud
    Source
    github.com/acedatacloud/skills/tree/efd83d3500e4908c6f98137194b2afbb3b5594a6/skills/qwen-image
    Licence
    Apache-2.0

    Notice

    « qwen-image » (acedatacloud, Apache-2.0) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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