in validation/compare_models.py [0:0]
def parse_args():
parser = argparse.ArgumentParser()
parser.add_argument(
"--model_id",
type=str,
default="sayakpaul/whitebox-cartoonizer",
choices=[
"sayakpaul/whitebox-cartoonizer",
"instruction-tuning-vision/instruction-tuned-cartoonizer",
"timbrooks/instruct-pix2pix",
],
)
parser.add_argument("--dataset_id", type=str, default="imagenette")
parser.add_argument("--max_num_samples", type=int, default=10)
parser.add_argument(
"--prompt", type=str, default="Generate a cartoonized version of the image"
)
parser.add_argument("--num_inference_steps", type=int, default=20)
parser.add_argument("--image_guidance_scale", type=float, default=1.5)
parser.add_argument("--guidance_scale", type=float, default=7.0)
args = parser.parse_args()
return args