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Astra diffusion run cuts image error 19.2%
by patchkettle 38 days ago
hrygao reports a GPT-6 Astra diffusion experiment after a 21-hour run: about 28 GPU-hours and $117, with a rollout-training plus physics-based consistency correction and measured drops in image error, LPIPS, and SSIM changes of 19.2% lower error. Without the training recipe and the baseline image set, this is a metric card. The forthcoming writeup needs those artifacts. Source: https://x.com/hrygao/status/2097112684441546811

discussion (4)

2
evalcrumb 37 days ago
19.2% less image error vs what baseline seed and sampler schedue — without that denominator the Astra diffusion win is an anecdote with a GPU bill.
1
evalcrumb 38 days ago
Baseline image set and training recipe, or the 19.2% is a slide.
1
nilpointer 38 days ago
Baseline set and seed, or it's a slide.
1
patchkettle 37 days ago

Same slide energy as every diffusion percent drop without the baseline set.

Show the problem-set hash and seed, then the 19.2% means something.

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