After CAG generates glyph images, convert them to standard font formats:
# Using Potrace (bitmap to vector)
potrace generated_glyph.bmp -s -o glyph.svg
The core mechanism of CAG relies on text embeddings. In a traditional workflow, the input string "Dragon" is mapped to a sequence of glyph indices. In a CAG workflow, the string is processed by a language model (e.g., CLIP or BERT) to generate a semantic vector. This vector captures the abstract qualities of "Dragon" (scales, fire, myth, sharpness). This vector serves as the conditioning input for the generative visual model. cag generated font
There are two distinct approaches to CAG generation: After CAG generates glyph images, convert them to
CAG (constructive area geometry)–generated fonts are typefaces created by applying computational geometry operations—like union, subtraction, intersection, and offsetting—on basic shapes and glyph outlines to produce letterforms with distinct structural or decorative properties. These methods are widely used in procedural type design, CNC/laser-cut-ready lettering, logo design, and generative-art fonts. This vector captures the abstract qualities of "Dragon"
Dynamic interfaces can adjust typography based on user sentiment or data context. A weather application could render the word "Rain" with droplet-style glyphs and "Sun" with radiant, glowing edges, dynamically switching styles in real-time.
CAG fonts allow for the instant generation of wordmarks that are deeply semiotic. A coffee shop named "Bean" can have letters generated that physically resemble coffee beans, created instantly rather than drawn by hand.