You can improve any text-to-image model's ability to render complex text and formulas without retraining—just add an agentic workflow that guides the generation process using glyph templates.
GlyphBanana solves the problem of generating accurate text and mathematical formulas in images by using an agentic workflow that guides existing text-to-image models. Instead of retraining models, it injects glyph templates into the model's internal representations to iteratively improve text rendering quality.