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Jun 2, 2026
Following our integration of Asymmetric Flow Matching, our 400M parameter NanoDiT was training efficiently in terms of step-count convergence, but it was hitting an iter_per_sec of 0.025 on our single...
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May 23, 2026
The evolution of text-to-image synthesis is currently undergoing a profound architectural realignment. For years, the dominant paradigm relied on Variational Autoencoders (VAEs) to compress high-dimensional pixel data into a mathematically...
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May 13, 2026
The prevailing assumption in generative AI is that training a large, multi-modal Diffusion Transformer from scratch requires a cluster. prx-tg is a direct challenge to that assumption: a 400M+ parameter...