in training/generate_images.py [0:0]
def parse_args():
parser = argparse.ArgumentParser()
parser.add_argument(
"--pretrained_model_name_or_path",
type=str,
default=None,
required=True,
help="Path to pretrained model or model identifier from huggingface.co/models.",
)
parser.add_argument(
"--revision",
type=str,
default=None,
required=False,
help="Revision of pretrained model identifier from huggingface.co/models.",
)
parser.add_argument(
"--variant",
type=str,
default=None,
help="Variant of the model files of the pretrained model identifier from huggingface.co/models, 'e.g.' fp16",
)
parser.add_argument("--style_descriptor", type=str, default="[V]")
parser.add_argument(
"--load_transformer_from",
type=str,
required=False,
default=None,
)
parser.add_argument(
"--load_transformer_lora_from",
type=str,
required=False,
default=None,
)
parser.add_argument("--device", type=str, default='cuda')
parser.add_argument("--batch_size", type=int, default=1)
parser.add_argument("--write_images_to", type=str, required=True)
args = parser.parse_args()
return args