Beyond Latents: A New Empirical Recipe for Pixel-Space Diffusion
This story is from 2026-08-28. It is preserved in the archive; the latest stories are on the live feed.
A comprehensive empirical study demonstrates that pixel-space diffusion models can outperform latent-space counterparts by utilizing a latent-to-pixel training strategy. This approach achieves significant inference speedups while maintaining high generative quality, challenging the current dominanc…
Read the full story at DEV Community — Machine Learning ↗
Timeline · 1 report
- 2026-08-28 16:09 · DEV Community — Machine Learning
Beyond Latents: A New Empirical Recipe for Pixel-Space Diffusion