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LDJ-creatLDJ-creat/media-skills/baoyu-image-gen/SKILL.md

baoyu-image-gen

Skill28 starsChanged 6 months agoNo licenceView on GitHub

AI image generation with OpenAI, Google, OpenRouter, DashScope, Jimeng, Seedream and Replicate APIs. Supports text-to-image, reference images, aspect ratios, and batch generation from saved prompt files. Sequential by default; use batch parallel generation when the user already has multiple prompts or wants stable multi-image throughput. Use when user asks to generate, create, or draw images.

  • Reads credentials

16 other projects use a version of this, 16 of them edited.

Adopted by

Most recently taken up by

Used with

Projects with it also use deepl, imagemagick-conversion and 10 more.

Other files people use alongside this one.

Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
  • zephyrwang6Skill

    deepl

    Übersetzt Texte, Dokumente und XLIFF-Dateien via DeepL API. Verwende für Übersetzungen mit /deepl translate, /deepl file oder /deepl xliff.

    Also in 4 projects that use this

  • zephyrwang6Skill

    imagemagick-conversion

    Convert and manipulate images with ImageMagick. Covers format conversion, resizing, batch processing, quality adjustment, and image transformations. Use when user mentions image conversion, resizing images, ImageMagick, magick command, batch image processing, or thumbnail generation.

    Also in 4 projects that use this

  • +10 more from zephyrwang6

The file

Show its rules and text

We split this skill into the rules it gives an agent

17 rules. 1 is common, 10 are distinctive, and 6 are very specific to this project.

  • 1

    Common

    Most of the 16 edited versions we read keep these.

  • 10

    Distinctive

    This author's own choices. Worth a look.

  • 6

    Very specific

    Tied to their project's names, files or tools. Probably skip.

No licence file, so all rights are reserved — read it at the source. We count its rules but don't quote them. Read them on GitHub.

“Common” is measured: kept by at least 6 in 10 of the 16 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

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