DiffEnc-32-8 trained on ImageNet32

Checkpoints for an image generation model trained on ImageNet32.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 trainable time-dependent encoder trained for the article "DiffEnc: Variational Diffusion with a Learned Encoder" (https://arxiv.org/abs/2310.19789).Model uses v-parametrization for the loss. The diffusion model is of size 32 and the encoder is of size 8. That is, the diffusion model uses 32 "down-blocks" in the U-net. See details in article.Model was trained on ImageNet32 for 1.5 million steps.Random seeds: 1, 2, 13<br>