add crop infor for lama
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13
main.py
13
main.py
@@ -97,12 +97,18 @@ def get_args_parser():
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parser = argparse.ArgumentParser()
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parser.add_argument("--port", default=8080, type=int)
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parser.add_argument("--model", default="lama", choices=["lama", "ldm"])
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parser.add_argument("--crop-trigger-size", default="2042,2042",
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help="If image size large then crop-trigger-size, "
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"crop each area from original image to do inference."
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"Mainly for performance and memory reasons"
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"Only for lama")
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parser.add_argument("--crop-size", default="512,512")
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parser.add_argument(
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"--ldm-steps",
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default=50,
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type=int,
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help="Steps for DDIM sampling process."
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"The larger the value, the better the result, but it will be more time-consuming",
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"The larger the value, the better the result, but it will be more time-consuming",
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)
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parser.add_argument("--device", default="cuda", type=str)
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parser.add_argument("--debug", action="store_true")
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@@ -115,8 +121,11 @@ def main():
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args = get_args_parser()
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device = torch.device(args.device)
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crop_trigger_size = [int(it) for it in args.crop_trigger_size.split(",")]
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crop_size = [int(it) for it in args.crop_size.split(",")]
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if args.model == "lama":
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model = LaMa(device)
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model = LaMa(crop_trigger_size=crop_trigger_size, crop_size=crop_size, device=device)
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elif args.model == "ldm":
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model = LDM(device, steps=args.ldm_steps)
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else:
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