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[Training] Better image interpolation in training scripts #11206

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Apr 8, 2025
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14 changes: 13 additions & 1 deletion examples/dreambooth/train_dreambooth_lora_sdxl.py
Original file line number Diff line number Diff line change
Expand Up @@ -669,6 +669,13 @@ def parse_args(input_args=None):
),
)

parser.add_argument(
"--image_interpolation_mode",
type=str,
default="lanczos",
help="The image interpolation method to use for resizing images.",
)

if input_args is not None:
args = parser.parse_args(input_args)
else:
Expand Down Expand Up @@ -790,7 +797,12 @@ def __init__(
self.original_sizes = []
self.crop_top_lefts = []
self.pixel_values = []
train_resize = transforms.Resize(size, interpolation=transforms.InterpolationMode.BILINEAR)

if args.image_interpolation_mode == "bilinear":
train_resize = transforms.Resize(size, interpolation=transforms.InterpolationMode.BILINEAR)
else:
train_resize = transforms.Resize(size, interpolation=transforms.InterpolationMode.LANCZOS)

train_crop = transforms.CenterCrop(size) if center_crop else transforms.RandomCrop(size)
train_flip = transforms.RandomHorizontalFlip(p=1.0)
train_transforms = transforms.Compose(
Expand Down
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