text-to-image models

Linum AI's Pyramid JIT explores training text-to-image diffusion models without a variational autoencoder, working directly in pixel space or a latent-free pipeline. The writeup discusses the architectural and computational trade-offs involved. It is drawing attention from machine learning practitioners interested in simpler or more efficient image generation training approaches.