Diffusion final checkpoints

Unconditional and conditional DDPM training artifacts for CIFAR-10, using custom UNet architectures with attention and EMA.

Only the final unconditional and conditional checkpoints are published:

  • ddpm_with_attention_ema/checkpoints/ddpm_final.pt
  • conditional_ddpm_with_attention_ema/checkpoints/conditional_ddpm_final.pt

Each file is about 3.11 GiB, about 6.2 GiB combined. Intermediate checkpoints, sample images, and training history CSV files are not published. The original full final checkpoints contain model, EMA model, optimizer, scheduler, epoch, and loss state. Use ema_model_state_dict for EMA inference weights, with the matching custom architectures from the code repository.

Download the repository contents into Unet/outputs in the code project.

Code

https://github.com/wangwenbinw/Diffusion

Downloads last month

-

Downloads are not tracked for this model. How to track
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support