IOPaint/lama_cleaner/parse_args.py

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import os
import imghdr
import argparse
def parse_args():
parser = argparse.ArgumentParser()
parser.add_argument("--host", default="127.0.0.1")
parser.add_argument("--port", default=8080, type=int)
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parser.add_argument(
"--model",
default="lama",
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choices=["lama", "ldm", "zits", "mat", "fcf", "sd1.5", "cv2", "manga"],
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)
parser.add_argument(
"--hf_access_token",
default="",
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help="Huggingface access token. Check how to get token from: https://huggingface.co/docs/hub/security-tokens",
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)
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parser.add_argument(
"--sd-disable-nsfw",
action="store_true",
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help="Disable Stable Diffusion NSFW checker",
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)
parser.add_argument(
"--sd-cpu-textencoder",
action="store_true",
help="Always run Stable Diffusion TextEncoder model on CPU",
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)
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parser.add_argument(
"--sd-run-local",
action="store_true",
help="After first time Stable Diffusion model downloaded, you can add this arg and remove --hf_access_token",
)
parser.add_argument(
"--sd-enable-xformers",
action="store_true",
help="Enable xFormers optimizations. Requires that xformers package has been installed. See: https://github.com/facebookresearch/xformers"
)
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parser.add_argument("--device", default="cuda", type=str, choices=["cuda", "cpu"])
parser.add_argument("--gui", action="store_true", help="Launch as desktop app")
parser.add_argument(
"--gui-size",
default=[1600, 1000],
nargs=2,
type=int,
help="Set window size for GUI",
)
parser.add_argument(
"--input", type=str, help="Path to image you want to load by default"
)
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parser.add_argument("--disable-model-switch", action="store_true", help="Disable model switch in frontend")
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parser.add_argument("--debug", action="store_true")
args = parser.parse_args()
if args.input is not None:
if not os.path.exists(args.input):
parser.error(f"invalid --input: {args.input} not exists")
if imghdr.what(args.input) is None:
parser.error(f"invalid --input: {args.input} is not a valid image file")
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if args.model.startswith("sd") and not args.sd_run_local:
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if not args.hf_access_token.startswith("hf_"):
parser.error(
f"sd(stable-diffusion) model requires huggingface access token. Check how to get token from: https://huggingface.co/docs/hub/security-tokens"
)
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return args