Alibaba Cloud Wan 2.6 WeChat Cover Image Generator
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About this skill
Problem
Technical articles often need cover art and inline images that match the article’s argument. Manually sourced visuals can drift from the title, and dimensions are easy to get wrong. This skill targets technical writers publishing to WeChat Official Accounts: it sends a title or summary to the Alibaba Cloud Wan 2.6 text-to-image model and returns downloadable image files.
How It Works
The skill exposes three primary commands:
- generate_wx_cover: creates a 16:9 (1280×720) WeChat cover from title, optional content, and style.
- generate_tech_diagram: renders AI or large-model architecture diagrams from a description and component list.
- generate_article_images: generates multiple paragraph illustrations, default 3 and max 5.
Credentials can be supplied via DASHSCOPE_API_KEY, a local .env file, or a per-call key. For automation, --json-only keeps stdout JSON-safe for downstream parsing.
Boundaries And Notes
Generated URLs expire in roughly 24 hours, so images should be downloaded promptly to ~/WorkBuddy/... or a custom directory. Generation takes about 1–2 minutes and is billed by image count. It is suitable for covers, architecture sketches, and paragraph visuals, but not for exact typographic layouts, brand-constrained assets, or editable source files.
Use Cases
- Before publishing a technical WeChat article, generate a 16:9 no-watermark cover PNG from the title and summary.
- While writing a large-model engineering post, create an architecture illustration from the description and component list.
- When curating multi-paragraph technical content, generate about three consistent 1280x720 images for each section.
- In a scripted pipeline, call `--json-only`, parse image URLs, and download them before the 24-hour expiry.
Best For
- Technical writers publishing WeChat articles who need covers that match the title and summary.
- Engineers explaining large-model architectures who need quick schematic illustrations for docs or decks.
- Authors producing multi-paragraph content who need a few consistent-size inline images.
- Automation engineers integrating image generation into pipelines and parsing image URLs reliably.
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