in scripts/super_res_sample.py [0:0]
def create_argparser():
defaults = dict(
clip_denoised=True,
num_samples=10000,
batch_size=16,
use_ddim=False,
base_samples="",
model_path="",
)
defaults.update(sr_model_and_diffusion_defaults())
parser = argparse.ArgumentParser()
add_dict_to_argparser(parser, defaults)
return parser