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Linum-AI Releases P-JiT 21K Text-to-Image Model Trained for $21K

·2026.11.06 22:24

Key point

The model was trained on 610M samples at 512px and 50M samples at 1024px before post-training with an FDFO variant.

Details

  • Linum-AI released P-JiT 21K, a text-to-image model based on the P-JiT architecture trained for a total cost of $21K.
  • Training involved 610M samples at 512px resolution and 50M samples at 1024px resolution.
  • The model underwent post-training using a variant of FDFO.
  • Code and documentation are available on GitHub and the Linum-AI blog.
open-sourcemodel-releasetext-to-imagelinum-aipjit-21k
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