DeTikZify is a system that takes sketches or scientific figure images as input and generates TikZ code to reproduce them programmatically. It leverages transformer-based models (likely fine-tuned on Llama) to perform inverse graphics—inferring vector drawing commands from raster images. The system is trained using Hugging Face tooling and handles the multimodal challenge of translating visual input into structured LaTeX/TikZ output.