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Training Text-to-Image Models 3.6× Faster

AI · Technology · 2026-09-16 16:58

Linum team proposes the JiT-DDT architecture, breaking VAE compression bottlenecks by restoring details in pixel space, accelerating text-to-image training 3.6× and surpassing latent diffusion models.

Source: www.linum.ai

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