Giux22/semana2-soles-1

class TrainingConfig: image_size = 128 # the generated image resolution train_batch_size = 16 eval_batch_size = 16 # how many images to sample during evaluation num_epochs = 10000 gradient_accumulation_steps = 1 learning_rate = 1e-5 lr_warmup_steps = 500 save_image_epochs = 50 save_model_epochs = 50 mixed_precision = "fp16" # no for float32, fp16 for automatic mixed precision output_dir = "semana2-soles-1" # the model name locally and on the HF Hub

push_to_hub = True  # whether to upload the saved model to the HF Hub
hub_private_repo = False
overwrite_output_dir = True  # overwrite the old model when re-running the notebook
seed = 22