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Avoid computing min() that is expensive when do_normalize is False in the image processor #5896

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Nov 27, 2023
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Avoid computing min() that is expensive when do_normalize is False in the image processor #5896

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2 changes: 1 addition & 1 deletion src/diffusers/image_processor.py
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Original file line number Diff line number Diff line change
Expand Up @@ -326,7 +326,7 @@ def preprocess(

# expected range [0,1], normalize to [-1,1]
do_normalize = self.config.do_normalize
if image.min() < 0 and do_normalize:
if do_normalize and image.min() < 0:
warnings.warn(
"Passing `image` as torch tensor with value range in [-1,1] is deprecated. The expected value range for image tensor is [0,1] "
f"when passing as pytorch tensor or numpy Array. You passed `image` with value range [{image.min()},{image.max()}]",
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