V1-5-pruned-emaonly !new!

During the training of a neural network, the model weights fluctuate. Sometimes they drift too far in one direction, causing erratic outputs. To counter this, engineers calculate a "moving average" of the weights over time. This smoothed-out version of the model tends to be more stable and consistent than the raw weights at any single specific step.

Usually distributed as a .safetensors or .ckpt file. Resolution: Optimized for 512x512 pixel generations. v1-5-pruned-emaonly