Normalizing Trajectory Models (NTM) reimagines diffusion sampling with exact likelihood training via conditional normalizing flows. Unlike distilled or consistency-based methods, NTM preserves probabilistic guarantees while enabling efficient few-step generation. Key for developers optimizing generative models for speed and interpretability.
Opening Kapyn…