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House plan sketches
#trained on:Frisby
Model Details
class TrainingConfig:
image_size = 192 # the generated image resolution
train_batch_size = 8
eval_batch_size = 8 # how many images to sample during evaluation
num_epochs = 200
gradient_accumulation_steps = 1
learning_rate = 1e-4
lr_warmup_steps = 500
save_image_epochs = 10
save_model_epochs = 30
mixed_precision = 'fp16' # `no` for float32, `fp16` for automatic mixed precision
output_dir = 'ddpm-butterflies-128' # the model namy locally and on the HF Hub
push_to_hub = False # whether to upload the saved model to the HF Hub
hub_private_repo = False
overwrite_output_dir = False # overwrite the old model when re-running the notebook
seed = 0
config = TrainingConfig()
Model Description
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