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DiffEnc-8-nt_cifar10.zip (629.7 MB)

DiffEnc-8-nt trained on CIFAR-10

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posted on 2024-04-22, 10:00 authored by Beatrix Miranda Ginn NielsenBeatrix Miranda Ginn Nielsen

Checkpoints for an image generation model trained on CIFAR-10.

The model was made in Jax. See the github repository for code to load the checkpoints.

The model is a variational diffusion model (VDM, https://arxiv.org/abs/2107.00630) with an added non-trainable time-dependent encoder trained for the article "DiffEnc: Variational Diffusion with a Learned Encoder" (https://arxiv.org/abs/2310.19789).

The model uses v-parametrization for the loss. The diffusion model is of size 8 and the encoder is non-trainable. That is, the diffusion model uses 8 "down-blocks" in the U-net. See details in article.

Random seeds: 1, 2, 13, 42, 70

Funding

Danish Pioneer Centre for AI, DNRF grant number P1

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