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Supra2-IMG is a 100M-parameter text-to-image model trained in under 10 hours on one H100
SupraLabs released Supra2-IMG on 2026-09-21, a 100M-parameter DiT text-to-image model trained entirely from scratch in under 10 hours on a single H100 rented from Runpod, generating 256x256 images. The author says inference takes roughly 20 seconds per image on CPU and about 2 seconds on GPU, and published non-cherry-picked samples at fixed settings (seed 0, 50 steps, cfg 3.0). It is Apache-2.0 on Hugging Face and had 137 downloads and 90 likes at time of check; the r/LocalLLaMA thread drew 304 upvotes with the top comment calling the quality unusual for the parameter count.
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