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Un-0
un-ai/Un-0
Un-0 is a machine learning model from un-ai. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as cc-by-nc-4.0.
Un-0 is an image-generation model built on Kuramoto dynamics. It generates an image by integrating the phase dynamics of a population of coupled oscillators starting from random phases to a set of image latent phases…
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Updated Jun 25, 2026
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At a glance
- License
- cc-by-nc-4.0
- Access
- Public
- Created
- Jun 18, 2026
- Updated
- Jun 25, 2026
- SHA
- 8b2f34a8
Model card
From the Hugging Face model README
Un-0
Un-0 is an image-generation model built on Kuramoto dynamics. It generates an image by integrating the phase dynamics of a population of coupled oscillators starting from random phases to a set of image latent phases which are decoded to produce an image. It comes from Unconventional, Inc., where we research dynamical systems as a computing substrate that maps onto analog and physical hardware, pointing toward dramatically lower energy for AI than today's digital accelerators.
This repository hosts the released class-conditional checkpoints for two independently trained models, one trained on CIFAR-10 (32×32), the other ImageNet (64×64). The reference implementation, training recipe, and evaluation code live at github.com/unconv-ai/Un-0.
- License
- cc-by-nc-4.0
- Created
- Jun 18, 2026
- Updated
- Jun 25, 2026