GLMImage is an AI image generator and editor for labeled scientific illustrations. Users describe the subject, relationships, labels and desired format in Chinese or English, then review and refine watermark-free drafts for papers, lessons, museum panels and outreach. Book-cover and portrait workflows and general image editing are included. Free trial available; outputs are starting points for expert review. Typical use cases include lecture slides, lab teaching materials, conference posters, journal figure drafts, science blog illustrations and textbook mockups, where a clear labeled diagram saves hours of manual layout work. The product supports bilingual prompts and bilingual in-image text, which is helpful for multilingual classrooms and international publications. Researchers can prepare first-pass figures for manuscripts and theses, educators can build diagram banks for recurring lessons, and science communicators can draft visuals for articles, newsletters and social posts without starting from a blank canvas each time. The bilingual workflow also supports translation reviews, so labels can be checked in both languages before final export. Teams keep a consistent visual style across decks and documentation, while individual users start with a free trial and upgrade only if the workflow fits their pipeline. Scientific accuracy always stays with the human expert, and GLMImage is built to support that review loop.
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