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Add LANCZOS as default interplotation mode. #11463

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Merged
merged 5 commits into from
Apr 30, 2025
Merged

Add LANCZOS as default interplotation mode. #11463

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daa4fda
Add LANCZOS as default interplotation mode.
Va16hav07 Apr 30, 2025
4a09f96
Merge branch 'main' into Vaibhav-Improve-Image-Interpolation
Va16hav07 Apr 30, 2025
a35acc9
LANCZOS as default interplotation
Va16hav07 Apr 30, 2025
e94b91d
LANCZOS as default interplotation mode
Va16hav07 Apr 30, 2025
0236a91
Added LANCZOS as default interplotation mode
Va16hav07 Apr 30, 2025
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Added LANCZOS as default interplotation mode
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@Va16hav07
Va16hav07 committed Apr 30, 2025
commit 0236a91d3ebe2f081eab9ec9cc51df2ef34c7128
16 changes: 9 additions & 7 deletions examples/controlnet/train_controlnet_sdxl.py
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Expand Up @@ -134,7 +134,7 @@ def log_validation(vae, unet, controlnet, args, accelerator, weight_dtype, step,

for validation_prompt, validation_image in zip(validation_prompts, validation_images):
validation_image = Image.open(validation_image).convert("RGB")

try:
interpolation = getattr(transforms.InterpolationMode, args.image_interpolation_mode.upper())
except (AttributeError, KeyError):
Expand All @@ -145,11 +145,13 @@ def log_validation(vae, unet, controlnet, args, accelerator, weight_dtype, step,
f"Interpolation mode {args.image_interpolation_mode} is not supported. "
f"Please select one of the following: {', '.join(supported_interpolation_modes)}"
)

transform = transforms.Compose([
transforms.Resize(args.resolution, interpolation=interpolation),
transforms.CenterCrop(args.resolution),
])

transform = transforms.Compose(
[
transforms.Resize(args.resolution, interpolation=interpolation),
transforms.CenterCrop(args.resolution),
]
)
validation_image = transform(validation_image)

images = []
Expand Down Expand Up @@ -767,7 +769,7 @@ def prepare_train_dataset(dataset, accelerator):
f"Interpolation mode {args.image_interpolation_mode} is not supported. "
f"Please select one of the following: {', '.join(supported_interpolation_modes)}"
)

image_transforms = transforms.Compose(
[
transforms.Resize(args.resolution, interpolation=interpolation_mode),
Expand Down
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