One-DM is a latent diffusion model designed to generate stylized handwritten text images. Given a single reference handwritten sample, it extracts the writing style and applies it to generate new text with arbitrary content. The model uses diffusion-based image generation techniques with a one-shot learning approach, requiring only one example of a person’s handwriting to capture their style.