Document Diffusion artifacts

README.md

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+---
+library_name: pytorch
+tags:
+- diffusion
+- ddpm
+- cifar10
+---
+# Diffusion training outputs
+
+Unconditional and conditional DDPM training artifacts for CIFAR-10, using
+custom UNet architectures with attention and EMA.
+
+Each experiment directory contains PyTorch checkpoints, generated sample images,
+and a training history CSV. Checkpoints contain model, EMA model, optimizer,
+scheduler, epoch, and loss state. Use the matching code from the Diffusion
+project to load them; these are custom PyTorch models.
+
+Download the repository contents into `Unet/outputs` in the code project.