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Set LANCZOS as the default interpolation for image resizing in ControlNet training#11449

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Merged
asomoza merged 1 commit into from
Apr 29, 2025
+15 −2
Merged

Set LANCZOS as the default interpolation for image resizing in ControlNet training #11449

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17 changes: 15 additions & 2 deletions examples/controlnet/train_controlnet_flux.py
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Original file line numberDiff line numberDiff line change
Expand Up@@ -639,6 +639,15 @@ def parse_args(input_args=None):
action="store_true",
help="Enable model cpu offload and save memory.",
)
parser.add_argument(
"--image_interpolation_mode",
type=str,
default="lanczos",
choices=[
f.lower() for f in dir(transforms.InterpolationMode) if not f.startswith("__") and not f.endswith("__")
],
help="The image interpolation method to use for resizing images.",
)

if input_args is not None:
args = parser.parse_args(input_args)
Expand DownExpand Up@@ -736,9 +745,13 @@ def get_train_dataset(args, accelerator):


def prepare_train_dataset(dataset, accelerator):
interpolation = getattr(transforms.InterpolationMode, args.image_interpolation_mode.upper(), None)
if interpolation is None:
raise ValueError(f"Unsupported interpolation mode {interpolation=}.")

image_transforms = transforms.Compose(
[
transforms.Resize(args.resolution, interpolation=transforms.InterpolationMode.BILINEAR),
transforms.Resize(args.resolution, interpolation=interpolation),
transforms.CenterCrop(args.resolution),
transforms.ToTensor(),
transforms.Normalize([0.5], [0.5]),
Expand All@@ -747,7 +760,7 @@ def prepare_train_dataset(dataset, accelerator):

conditioning_image_transforms = transforms.Compose(
[
transforms.Resize(args.resolution, interpolation=transforms.InterpolationMode.BILINEAR),
transforms.Resize(args.resolution, interpolation=interpolation),
transforms.CenterCrop(args.resolution),
transforms.ToTensor(),
transforms.Normalize([0.5], [0.5]),
Expand Down