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Correct image transform using stack instead of concatenate #12507

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Correct image transform using stack instead of concatenate #12507

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4 changes: 2 additions & 2 deletions examples/research_projects/instructpix2pix_lora/train_instruct_pix2pix_lora.py
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Original file line number Diff line number Diff line change
Expand Up @@ -788,7 +788,7 @@ def preprocess_images(examples):
)
# We need to ensure that the original and the edited images undergo the same
# augmentation transforms.
images = np.concatenate([original_images, edited_images])
images = np.stack([original_images, edited_images])
images = torch.tensor(images)
images = 2 * (images / 255) - 1
return train_transforms(images)
Expand All @@ -799,7 +799,7 @@ def preprocess_train(examples):
# Since the original and edited images were concatenated before
# applying the transformations, we need to separate them and reshape
# them accordingly.
original_images, edited_images = preprocessed_images.chunk(2)
original_images, edited_images = preprocessed_images
original_images = original_images.reshape(-1, 3, args.resolution, args.resolution)
edited_images = edited_images.reshape(-1, 3, args.resolution, args.resolution)

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