ling --loss_type: the type of loss (L2 or Huber) to calculate for latent consistency distillation; Huber loss is generally preferred because it’s more robust to outliers --huber_c: the Huber loss parameter  Training script The training script starts by creating a dataset class - Text2ImageDataset - for preprocessing the images and creating a training dataset.   Copied def transform(example):
    image = example["image"]
    image = TF.resize(im