From 665a4942e47a2d2f7a72c6a4c318b609b8461523 Mon Sep 17 00:00:00 2001
From: Kevin R <squidpickles@users.noreply.github.com>
Date: Tue, 7 Jan 2025 03:39:45 -0800
Subject: [PATCH] Check whether rescale is requested before checking
 is_scaled_image (#35439)

---
 .../modular-transformers/image_processing_new_imgproc_model.py  | 2 +-
 src/transformers/models/beit/image_processing_beit.py           | 2 +-
 src/transformers/models/bit/image_processing_bit.py             | 2 +-
 src/transformers/models/blip/image_processing_blip.py           | 2 +-
 .../models/bridgetower/image_processing_bridgetower.py          | 2 +-
 src/transformers/models/chameleon/image_processing_chameleon.py | 2 +-
 .../models/chinese_clip/image_processing_chinese_clip.py        | 2 +-
 src/transformers/models/clip/image_processing_clip.py           | 2 +-
 .../conditional_detr/image_processing_conditional_detr.py       | 2 +-
 src/transformers/models/convnext/image_processing_convnext.py   | 2 +-
 .../models/deformable_detr/image_processing_deformable_detr.py  | 2 +-
 src/transformers/models/deit/image_processing_deit.py           | 2 +-
 .../models/deprecated/deta/image_processing_deta.py             | 2 +-
 .../efficientformer/image_processing_efficientformer.py         | 2 +-
 .../models/deprecated/tvlt/image_processing_tvlt.py             | 2 +-
 .../models/deprecated/vit_hybrid/image_processing_vit_hybrid.py | 2 +-
 src/transformers/models/detr/image_processing_detr.py           | 2 +-
 src/transformers/models/donut/image_processing_donut.py         | 2 +-
 src/transformers/models/dpt/image_processing_dpt.py             | 2 +-
 .../models/efficientnet/image_processing_efficientnet.py        | 2 +-
 src/transformers/models/flava/image_processing_flava.py         | 2 +-
 src/transformers/models/fuyu/image_processing_fuyu.py           | 2 +-
 src/transformers/models/glpn/image_processing_glpn.py           | 2 +-
 .../models/grounding_dino/image_processing_grounding_dino.py    | 2 +-
 src/transformers/models/idefics2/image_processing_idefics2.py   | 2 +-
 src/transformers/models/idefics3/image_processing_idefics3.py   | 2 +-
 src/transformers/models/imagegpt/image_processing_imagegpt.py   | 2 +-
 .../instructblipvideo/image_processing_instructblipvideo.py     | 2 +-
 .../models/layoutlmv3/image_processing_layoutlmv3.py            | 2 +-
 src/transformers/models/levit/image_processing_levit.py         | 2 +-
 .../models/llava_next/image_processing_llava_next.py            | 2 +-
 .../llava_next_video/image_processing_llava_next_video.py       | 2 +-
 .../models/llava_onevision/image_processing_llava_onevision.py  | 2 +-
 .../models/llava_onevision/video_processing_llava_onevision.py  | 2 +-
 .../models/mask2former/image_processing_mask2former.py          | 2 +-
 .../models/maskformer/image_processing_maskformer.py            | 2 +-
 .../models/mobilenet_v1/image_processing_mobilenet_v1.py        | 2 +-
 .../models/mobilenet_v2/image_processing_mobilenet_v2.py        | 2 +-
 src/transformers/models/mobilevit/image_processing_mobilevit.py | 2 +-
 src/transformers/models/nougat/image_processing_nougat.py       | 2 +-
 src/transformers/models/oneformer/image_processing_oneformer.py | 2 +-
 src/transformers/models/owlv2/image_processing_owlv2.py         | 2 +-
 src/transformers/models/owlvit/image_processing_owlvit.py       | 2 +-
 src/transformers/models/perceiver/image_processing_perceiver.py | 2 +-
 src/transformers/models/pixtral/image_processing_pixtral.py     | 2 +-
 .../models/poolformer/image_processing_poolformer.py            | 2 +-
 src/transformers/models/pvt/image_processing_pvt.py             | 2 +-
 src/transformers/models/qwen2_vl/image_processing_qwen2_vl.py   | 2 +-
 src/transformers/models/rt_detr/image_processing_rt_detr.py     | 2 +-
 src/transformers/models/sam/image_processing_sam.py             | 2 +-
 src/transformers/models/segformer/image_processing_segformer.py | 2 +-
 src/transformers/models/seggpt/image_processing_seggpt.py       | 2 +-
 src/transformers/models/siglip/image_processing_siglip.py       | 2 +-
 .../models/superpoint/image_processing_superpoint.py            | 2 +-
 src/transformers/models/swin2sr/image_processing_swin2sr.py     | 2 +-
 .../models/video_llava/image_processing_video_llava.py          | 2 +-
 src/transformers/models/videomae/image_processing_videomae.py   | 2 +-
 src/transformers/models/vilt/image_processing_vilt.py           | 2 +-
 src/transformers/models/vit/image_processing_vit.py             | 2 +-
 src/transformers/models/vitmatte/image_processing_vitmatte.py   | 2 +-
 src/transformers/models/vivit/image_processing_vivit.py         | 2 +-
 src/transformers/models/yolos/image_processing_yolos.py         | 2 +-
 src/transformers/models/zoedepth/image_processing_zoedepth.py   | 2 +-
 63 files changed, 63 insertions(+), 63 deletions(-)

diff --git a/examples/modular-transformers/image_processing_new_imgproc_model.py b/examples/modular-transformers/image_processing_new_imgproc_model.py
index a64eb17861a..f3ab1772ec5 100644
--- a/examples/modular-transformers/image_processing_new_imgproc_model.py
+++ b/examples/modular-transformers/image_processing_new_imgproc_model.py
@@ -247,7 +247,7 @@ class ImgprocModelImageProcessor(BaseImageProcessor):
         # All transformations expect numpy arrays.
         images = [to_numpy_array(image) for image in images]
 
-        if is_scaled_image(images[0]) and do_rescale:
+        if do_rescale and is_scaled_image(images[0]):
             logger.warning_once(
                 "It looks like you are trying to rescale already rescaled images. If the input"
                 " images have pixel values between 0 and 1, set `do_rescale=False` to avoid rescaling them again."
diff --git a/src/transformers/models/beit/image_processing_beit.py b/src/transformers/models/beit/image_processing_beit.py
index af76dd2e965..ce75797f5ca 100644
--- a/src/transformers/models/beit/image_processing_beit.py
+++ b/src/transformers/models/beit/image_processing_beit.py
@@ -239,7 +239,7 @@ class BeitImageProcessor(BaseImageProcessor):
         """Preprocesses a single image."""
         # All transformations expect numpy arrays.
         image = to_numpy_array(image)
-        if is_scaled_image(image) and do_rescale:
+        if do_rescale and is_scaled_image(image):
             logger.warning_once(
                 "It looks like you are trying to rescale already rescaled images. If the input"
                 " images have pixel values between 0 and 1, set `do_rescale=False` to avoid rescaling them again."
diff --git a/src/transformers/models/bit/image_processing_bit.py b/src/transformers/models/bit/image_processing_bit.py
index c32bb934bdc..0250bc3576e 100644
--- a/src/transformers/models/bit/image_processing_bit.py
+++ b/src/transformers/models/bit/image_processing_bit.py
@@ -284,7 +284,7 @@ class BitImageProcessor(BaseImageProcessor):
         # All transformations expect numpy arrays.
         images = [to_numpy_array(image) for image in images]
 
-        if is_scaled_image(images[0]) and do_rescale:
+        if do_rescale and is_scaled_image(images[0]):
             logger.warning_once(
                 "It looks like you are trying to rescale already rescaled images. If the input"
                 " images have pixel values between 0 and 1, set `do_rescale=False` to avoid rescaling them again."
diff --git a/src/transformers/models/blip/image_processing_blip.py b/src/transformers/models/blip/image_processing_blip.py
index 6bb2dd23733..0f7683d08d1 100644
--- a/src/transformers/models/blip/image_processing_blip.py
+++ b/src/transformers/models/blip/image_processing_blip.py
@@ -257,7 +257,7 @@ class BlipImageProcessor(BaseImageProcessor):
         # All transformations expect numpy arrays.
         images = [to_numpy_array(image) for image in images]
 
-        if is_scaled_image(images[0]) and do_rescale:
+        if do_rescale and is_scaled_image(images[0]):
             logger.warning_once(
                 "It looks like you are trying to rescale already rescaled images. If the input"
                 " images have pixel values between 0 and 1, set `do_rescale=False` to avoid rescaling them again."
diff --git a/src/transformers/models/bridgetower/image_processing_bridgetower.py b/src/transformers/models/bridgetower/image_processing_bridgetower.py
index a8b94e7c970..517f9b2e4f3 100644
--- a/src/transformers/models/bridgetower/image_processing_bridgetower.py
+++ b/src/transformers/models/bridgetower/image_processing_bridgetower.py
@@ -491,7 +491,7 @@ class BridgeTowerImageProcessor(BaseImageProcessor):
         # All transformations expect numpy arrays.
         images = [to_numpy_array(image) for image in images]
 
-        if is_scaled_image(images[0]) and do_rescale:
+        if do_rescale and is_scaled_image(images[0]):
             logger.warning_once(
                 "It looks like you are trying to rescale already rescaled images. If the input"
                 " images have pixel values between 0 and 1, set `do_rescale=False` to avoid rescaling them again."
diff --git a/src/transformers/models/chameleon/image_processing_chameleon.py b/src/transformers/models/chameleon/image_processing_chameleon.py
index cadaeb2e09a..4ef305c511e 100644
--- a/src/transformers/models/chameleon/image_processing_chameleon.py
+++ b/src/transformers/models/chameleon/image_processing_chameleon.py
@@ -302,7 +302,7 @@ class ChameleonImageProcessor(BaseImageProcessor):
         # All transformations expect numpy arrays.
         images = [to_numpy_array(image) for image in images]
 
-        if is_scaled_image(images[0]) and do_rescale:
+        if do_rescale and is_scaled_image(images[0]):
             logger.warning_once(
                 "It looks like you are trying to rescale already rescaled images. If the input"
                 " images have pixel values between 0 and 1, set `do_rescale=False` to avoid rescaling them again."
diff --git a/src/transformers/models/chinese_clip/image_processing_chinese_clip.py b/src/transformers/models/chinese_clip/image_processing_chinese_clip.py
index 2c338f5a71b..e07c87dc342 100644
--- a/src/transformers/models/chinese_clip/image_processing_chinese_clip.py
+++ b/src/transformers/models/chinese_clip/image_processing_chinese_clip.py
@@ -271,7 +271,7 @@ class ChineseCLIPImageProcessor(BaseImageProcessor):
         # All transformations expect numpy arrays.
         images = [to_numpy_array(image) for image in images]
 
-        if is_scaled_image(images[0]) and do_rescale:
+        if do_rescale and is_scaled_image(images[0]):
             logger.warning_once(
                 "It looks like you are trying to rescale already rescaled images. If the input"
                 " images have pixel values between 0 and 1, set `do_rescale=False` to avoid rescaling them again."
diff --git a/src/transformers/models/clip/image_processing_clip.py b/src/transformers/models/clip/image_processing_clip.py
index a5d12bd7ba2..c81451b195c 100644
--- a/src/transformers/models/clip/image_processing_clip.py
+++ b/src/transformers/models/clip/image_processing_clip.py
@@ -309,7 +309,7 @@ class CLIPImageProcessor(BaseImageProcessor):
         # All transformations expect numpy arrays.
         images = [to_numpy_array(image) for image in images]
 
-        if is_scaled_image(images[0]) and do_rescale:
+        if do_rescale and is_scaled_image(images[0]):
             logger.warning_once(
                 "It looks like you are trying to rescale already rescaled images. If the input"
                 " images have pixel values between 0 and 1, set `do_rescale=False` to avoid rescaling them again."
diff --git a/src/transformers/models/conditional_detr/image_processing_conditional_detr.py b/src/transformers/models/conditional_detr/image_processing_conditional_detr.py
index effb8c3b058..cecaf4e6a38 100644
--- a/src/transformers/models/conditional_detr/image_processing_conditional_detr.py
+++ b/src/transformers/models/conditional_detr/image_processing_conditional_detr.py
@@ -1434,7 +1434,7 @@ class ConditionalDetrImageProcessor(BaseImageProcessor):
         # All transformations expect numpy arrays
         images = [to_numpy_array(image) for image in images]
 
-        if is_scaled_image(images[0]) and do_rescale:
+        if do_rescale and is_scaled_image(images[0]):
             logger.warning_once(
                 "It looks like you are trying to rescale already rescaled images. If the input"
                 " images have pixel values between 0 and 1, set `do_rescale=False` to avoid rescaling them again."
diff --git a/src/transformers/models/convnext/image_processing_convnext.py b/src/transformers/models/convnext/image_processing_convnext.py
index 90fc0bb1ff1..35cbc91797a 100644
--- a/src/transformers/models/convnext/image_processing_convnext.py
+++ b/src/transformers/models/convnext/image_processing_convnext.py
@@ -282,7 +282,7 @@ class ConvNextImageProcessor(BaseImageProcessor):
         # All transformations expect numpy arrays.
         images = [to_numpy_array(image) for image in images]
 
-        if is_scaled_image(images[0]) and do_rescale:
+        if do_rescale and is_scaled_image(images[0]):
             logger.warning_once(
                 "It looks like you are trying to rescale already rescaled images. If the input"
                 " images have pixel values between 0 and 1, set `do_rescale=False` to avoid rescaling them again."
diff --git a/src/transformers/models/deformable_detr/image_processing_deformable_detr.py b/src/transformers/models/deformable_detr/image_processing_deformable_detr.py
index 0b6a58eb8f1..5ea92685038 100644
--- a/src/transformers/models/deformable_detr/image_processing_deformable_detr.py
+++ b/src/transformers/models/deformable_detr/image_processing_deformable_detr.py
@@ -1432,7 +1432,7 @@ class DeformableDetrImageProcessor(BaseImageProcessor):
         # All transformations expect numpy arrays
         images = [to_numpy_array(image) for image in images]
 
-        if is_scaled_image(images[0]) and do_rescale:
+        if do_rescale and is_scaled_image(images[0]):
             logger.warning_once(
                 "It looks like you are trying to rescale already rescaled images. If the input"
                 " images have pixel values between 0 and 1, set `do_rescale=False` to avoid rescaling them again."
diff --git a/src/transformers/models/deit/image_processing_deit.py b/src/transformers/models/deit/image_processing_deit.py
index 7b5f981b004..770a1b2ec8e 100644
--- a/src/transformers/models/deit/image_processing_deit.py
+++ b/src/transformers/models/deit/image_processing_deit.py
@@ -260,7 +260,7 @@ class DeiTImageProcessor(BaseImageProcessor):
         # All transformations expect numpy arrays.
         images = [to_numpy_array(image) for image in images]
 
-        if is_scaled_image(images[0]) and do_rescale:
+        if do_rescale and is_scaled_image(images[0]):
             logger.warning_once(
                 "It looks like you are trying to rescale already rescaled images. If the input"
                 " images have pixel values between 0 and 1, set `do_rescale=False` to avoid rescaling them again."
diff --git a/src/transformers/models/deprecated/deta/image_processing_deta.py b/src/transformers/models/deprecated/deta/image_processing_deta.py
index a548590ce12..e59b7bd95bf 100644
--- a/src/transformers/models/deprecated/deta/image_processing_deta.py
+++ b/src/transformers/models/deprecated/deta/image_processing_deta.py
@@ -1049,7 +1049,7 @@ class DetaImageProcessor(BaseImageProcessor):
         # All transformations expect numpy arrays
         images = [to_numpy_array(image) for image in images]
 
-        if is_scaled_image(images[0]) and do_rescale:
+        if do_rescale and is_scaled_image(images[0]):
             logger.warning_once(
                 "It looks like you are trying to rescale already rescaled images. If the input"
                 " images have pixel values between 0 and 1, set `do_rescale=False` to avoid rescaling them again."
diff --git a/src/transformers/models/deprecated/efficientformer/image_processing_efficientformer.py b/src/transformers/models/deprecated/efficientformer/image_processing_efficientformer.py
index 15fdf04051c..d1503f661d5 100644
--- a/src/transformers/models/deprecated/efficientformer/image_processing_efficientformer.py
+++ b/src/transformers/models/deprecated/efficientformer/image_processing_efficientformer.py
@@ -280,7 +280,7 @@ class EfficientFormerImageProcessor(BaseImageProcessor):
         # All transformations expect numpy arrays.
         images = [to_numpy_array(image) for image in images]
 
-        if is_scaled_image(images[0]) and do_rescale:
+        if do_rescale and is_scaled_image(images[0]):
             logger.warning_once(
                 "It looks like you are trying to rescale already rescaled images. If the input"
                 " images have pixel values between 0 and 1, set `do_rescale=False` to avoid rescaling them again."
diff --git a/src/transformers/models/deprecated/tvlt/image_processing_tvlt.py b/src/transformers/models/deprecated/tvlt/image_processing_tvlt.py
index 009f8307d47..46c6b0c7ca3 100644
--- a/src/transformers/models/deprecated/tvlt/image_processing_tvlt.py
+++ b/src/transformers/models/deprecated/tvlt/image_processing_tvlt.py
@@ -251,7 +251,7 @@ class TvltImageProcessor(BaseImageProcessor):
         # All transformations expect numpy arrays.
         image = to_numpy_array(image)
 
-        if is_scaled_image(image) and do_rescale:
+        if do_rescale and is_scaled_image(image):
             logger.warning_once(
                 "It looks like you are trying to rescale already rescaled images. If the input"
                 " images have pixel values between 0 and 1, set `do_rescale=False` to avoid rescaling them again."
diff --git a/src/transformers/models/deprecated/vit_hybrid/image_processing_vit_hybrid.py b/src/transformers/models/deprecated/vit_hybrid/image_processing_vit_hybrid.py
index e7c3193ceab..0424fd058e5 100644
--- a/src/transformers/models/deprecated/vit_hybrid/image_processing_vit_hybrid.py
+++ b/src/transformers/models/deprecated/vit_hybrid/image_processing_vit_hybrid.py
@@ -302,7 +302,7 @@ class ViTHybridImageProcessor(BaseImageProcessor):
         # All transformations expect numpy arrays.
         images = [to_numpy_array(image) for image in images]
 
-        if is_scaled_image(images[0]) and do_rescale:
+        if do_rescale and is_scaled_image(images[0]):
             logger.warning_once(
                 "It looks like you are trying to rescale already rescaled images. If the input"
                 " images have pixel values between 0 and 1, set `do_rescale=False` to avoid rescaling them again."
diff --git a/src/transformers/models/detr/image_processing_detr.py b/src/transformers/models/detr/image_processing_detr.py
index 85fbe698d10..03c75404206 100644
--- a/src/transformers/models/detr/image_processing_detr.py
+++ b/src/transformers/models/detr/image_processing_detr.py
@@ -1407,7 +1407,7 @@ class DetrImageProcessor(BaseImageProcessor):
         # All transformations expect numpy arrays
         images = [to_numpy_array(image) for image in images]
 
-        if is_scaled_image(images[0]) and do_rescale:
+        if do_rescale and is_scaled_image(images[0]):
             logger.warning_once(
                 "It looks like you are trying to rescale already rescaled images. If the input"
                 " images have pixel values between 0 and 1, set `do_rescale=False` to avoid rescaling them again."
diff --git a/src/transformers/models/donut/image_processing_donut.py b/src/transformers/models/donut/image_processing_donut.py
index 0ddd0591ca3..a10e2846cb7 100644
--- a/src/transformers/models/donut/image_processing_donut.py
+++ b/src/transformers/models/donut/image_processing_donut.py
@@ -409,7 +409,7 @@ class DonutImageProcessor(BaseImageProcessor):
         # All transformations expect numpy arrays.
         images = [to_numpy_array(image) for image in images]
 
-        if is_scaled_image(images[0]) and do_rescale:
+        if do_rescale and is_scaled_image(images[0]):
             logger.warning_once(
                 "It looks like you are trying to rescale already rescaled images. If the input"
                 " images have pixel values between 0 and 1, set `do_rescale=False` to avoid rescaling them again."
diff --git a/src/transformers/models/dpt/image_processing_dpt.py b/src/transformers/models/dpt/image_processing_dpt.py
index c4d79696f0a..c49dfcfef89 100644
--- a/src/transformers/models/dpt/image_processing_dpt.py
+++ b/src/transformers/models/dpt/image_processing_dpt.py
@@ -380,7 +380,7 @@ class DPTImageProcessor(BaseImageProcessor):
         # All transformations expect numpy arrays.
         images = [to_numpy_array(image) for image in images]
 
-        if is_scaled_image(images[0]) and do_rescale:
+        if do_rescale and is_scaled_image(images[0]):
             logger.warning_once(
                 "It looks like you are trying to rescale already rescaled images. If the input"
                 " images have pixel values between 0 and 1, set `do_rescale=False` to avoid rescaling them again."
diff --git a/src/transformers/models/efficientnet/image_processing_efficientnet.py b/src/transformers/models/efficientnet/image_processing_efficientnet.py
index 3e2403716ce..79f92ec1cae 100644
--- a/src/transformers/models/efficientnet/image_processing_efficientnet.py
+++ b/src/transformers/models/efficientnet/image_processing_efficientnet.py
@@ -317,7 +317,7 @@ class EfficientNetImageProcessor(BaseImageProcessor):
         # All transformations expect numpy arrays.
         images = [to_numpy_array(image) for image in images]
 
-        if is_scaled_image(images[0]) and do_rescale:
+        if do_rescale and is_scaled_image(images[0]):
             logger.warning_once(
                 "It looks like you are trying to rescale already rescaled images. If the input"
                 " images have pixel values between 0 and 1, set `do_rescale=False` to avoid rescaling them again."
diff --git a/src/transformers/models/flava/image_processing_flava.py b/src/transformers/models/flava/image_processing_flava.py
index 254af58c92d..7ed2302ef59 100644
--- a/src/transformers/models/flava/image_processing_flava.py
+++ b/src/transformers/models/flava/image_processing_flava.py
@@ -421,7 +421,7 @@ class FlavaImageProcessor(BaseImageProcessor):
         # All transformations expect numpy arrays.
         image = to_numpy_array(image)
 
-        if is_scaled_image(image) and do_rescale:
+        if do_rescale and is_scaled_image(image):
             logger.warning_once(
                 "It looks like you are trying to rescale already rescaled images. If the input"
                 " images have pixel values between 0 and 1, set `do_rescale=False` to avoid rescaling them again."
diff --git a/src/transformers/models/fuyu/image_processing_fuyu.py b/src/transformers/models/fuyu/image_processing_fuyu.py
index da9319d3a98..080ff772e28 100644
--- a/src/transformers/models/fuyu/image_processing_fuyu.py
+++ b/src/transformers/models/fuyu/image_processing_fuyu.py
@@ -464,7 +464,7 @@ class FuyuImageProcessor(BaseImageProcessor):
         # All transformations expect numpy arrays.
         batch_images = [[to_numpy_array(image) for image in images] for images in batch_images]
 
-        if is_scaled_image(batch_images[0][0]) and do_rescale:
+        if do_rescale and is_scaled_image(batch_images[0][0]):
             logger.warning_once(
                 "It looks like you are trying to rescale already rescaled images. If the input"
                 " images have pixel values between 0 and 1, set `do_rescale=False` to avoid rescaling them again."
diff --git a/src/transformers/models/glpn/image_processing_glpn.py b/src/transformers/models/glpn/image_processing_glpn.py
index 0ef93c21d94..3941bc54dcd 100644
--- a/src/transformers/models/glpn/image_processing_glpn.py
+++ b/src/transformers/models/glpn/image_processing_glpn.py
@@ -202,7 +202,7 @@ class GLPNImageProcessor(BaseImageProcessor):
         # All transformations expect numpy arrays.
         images = [to_numpy_array(img) for img in images]
 
-        if is_scaled_image(images[0]) and do_rescale:
+        if do_rescale and is_scaled_image(images[0]):
             logger.warning_once(
                 "It looks like you are trying to rescale already rescaled images. If the input"
                 " images have pixel values between 0 and 1, set `do_rescale=False` to avoid rescaling them again."
diff --git a/src/transformers/models/grounding_dino/image_processing_grounding_dino.py b/src/transformers/models/grounding_dino/image_processing_grounding_dino.py
index 23f4b719698..f3d2117ca86 100644
--- a/src/transformers/models/grounding_dino/image_processing_grounding_dino.py
+++ b/src/transformers/models/grounding_dino/image_processing_grounding_dino.py
@@ -1440,7 +1440,7 @@ class GroundingDinoImageProcessor(BaseImageProcessor):
         # All transformations expect numpy arrays
         images = [to_numpy_array(image) for image in images]
 
-        if is_scaled_image(images[0]) and do_rescale:
+        if do_rescale and is_scaled_image(images[0]):
             logger.warning_once(
                 "It looks like you are trying to rescale already rescaled images. If the input"
                 " images have pixel values between 0 and 1, set `do_rescale=False` to avoid rescaling them again."
diff --git a/src/transformers/models/idefics2/image_processing_idefics2.py b/src/transformers/models/idefics2/image_processing_idefics2.py
index 22ef9c2eac6..65d5a828541 100644
--- a/src/transformers/models/idefics2/image_processing_idefics2.py
+++ b/src/transformers/models/idefics2/image_processing_idefics2.py
@@ -529,7 +529,7 @@ class Idefics2ImageProcessor(BaseImageProcessor):
         # All transformations expect numpy arrays.
         images_list = [[to_numpy_array(image) for image in images] for images in images_list]
 
-        if is_scaled_image(images_list[0][0]) and do_rescale:
+        if do_rescale and is_scaled_image(images_list[0][0]):
             logger.warning_once(
                 "It looks like you are trying to rescale already rescaled images. If the input"
                 " images have pixel values between 0 and 1, set `do_rescale=False` to avoid rescaling them again."
diff --git a/src/transformers/models/idefics3/image_processing_idefics3.py b/src/transformers/models/idefics3/image_processing_idefics3.py
index 9005c38af6c..df71a8bf0e8 100644
--- a/src/transformers/models/idefics3/image_processing_idefics3.py
+++ b/src/transformers/models/idefics3/image_processing_idefics3.py
@@ -758,7 +758,7 @@ class Idefics3ImageProcessor(BaseImageProcessor):
                 [np.expand_dims(img, axis=0) if img.ndim == 2 else img for img in images] for images in images_list
             ]
 
-        if is_scaled_image(images_list[0][0]) and do_rescale:
+        if do_rescale and is_scaled_image(images_list[0][0]):
             logger.warning_once(
                 "It looks like you are trying to rescale already rescaled images. If the input"
                 " images have pixel values between 0 and 1, set `do_rescale=False` to avoid rescaling them again."
diff --git a/src/transformers/models/imagegpt/image_processing_imagegpt.py b/src/transformers/models/imagegpt/image_processing_imagegpt.py
index cca6c8a14b2..357baf70d6c 100644
--- a/src/transformers/models/imagegpt/image_processing_imagegpt.py
+++ b/src/transformers/models/imagegpt/image_processing_imagegpt.py
@@ -258,7 +258,7 @@ class ImageGPTImageProcessor(BaseImageProcessor):
         # All transformations expect numpy arrays.
         images = [to_numpy_array(image) for image in images]
 
-        if is_scaled_image(images[0]) and do_normalize:
+        if do_normalize and is_scaled_image(images[0]):
             logger.warning_once(
                 "It looks like you are trying to rescale already rescaled images. If you wish to do this, "
                 "make sure to set `do_normalize` to `False` and that pixel values are between [-1, 1].",
diff --git a/src/transformers/models/instructblipvideo/image_processing_instructblipvideo.py b/src/transformers/models/instructblipvideo/image_processing_instructblipvideo.py
index b83df54785f..75e07317b05 100644
--- a/src/transformers/models/instructblipvideo/image_processing_instructblipvideo.py
+++ b/src/transformers/models/instructblipvideo/image_processing_instructblipvideo.py
@@ -324,7 +324,7 @@ class InstructBlipVideoImageProcessor(BaseImageProcessor):
         # All transformations expect numpy arrays.
         image = to_numpy_array(image)
 
-        if is_scaled_image(image) and do_rescale:
+        if do_rescale and is_scaled_image(image):
             logger.warning_once(
                 "It looks like you are trying to rescale already rescaled video frames. If the input"
                 " images have pixel values between 0 and 1, set `do_rescale=False` to avoid rescaling them again."
diff --git a/src/transformers/models/layoutlmv3/image_processing_layoutlmv3.py b/src/transformers/models/layoutlmv3/image_processing_layoutlmv3.py
index 11db4ad23db..61c73d38b38 100644
--- a/src/transformers/models/layoutlmv3/image_processing_layoutlmv3.py
+++ b/src/transformers/models/layoutlmv3/image_processing_layoutlmv3.py
@@ -324,7 +324,7 @@ class LayoutLMv3ImageProcessor(BaseImageProcessor):
         # All transformations expect numpy arrays.
         images = [to_numpy_array(image) for image in images]
 
-        if is_scaled_image(images[0]) and do_rescale:
+        if do_rescale and is_scaled_image(images[0]):
             logger.warning_once(
                 "It looks like you are trying to rescale already rescaled images. If the input"
                 " images have pixel values between 0 and 1, set `do_rescale=False` to avoid rescaling them again."
diff --git a/src/transformers/models/levit/image_processing_levit.py b/src/transformers/models/levit/image_processing_levit.py
index f2cb89620d7..b20a08e20bf 100644
--- a/src/transformers/models/levit/image_processing_levit.py
+++ b/src/transformers/models/levit/image_processing_levit.py
@@ -274,7 +274,7 @@ class LevitImageProcessor(BaseImageProcessor):
         # All transformations expect numpy arrays.
         images = [to_numpy_array(image) for image in images]
 
-        if is_scaled_image(images[0]) and do_rescale:
+        if do_rescale and is_scaled_image(images[0]):
             logger.warning_once(
                 "It looks like you are trying to rescale already rescaled images. If the input"
                 " images have pixel values between 0 and 1, set `do_rescale=False` to avoid rescaling them again."
diff --git a/src/transformers/models/llava_next/image_processing_llava_next.py b/src/transformers/models/llava_next/image_processing_llava_next.py
index e43d95b80a0..8e2a4f4644f 100644
--- a/src/transformers/models/llava_next/image_processing_llava_next.py
+++ b/src/transformers/models/llava_next/image_processing_llava_next.py
@@ -697,7 +697,7 @@ class LlavaNextImageProcessor(BaseImageProcessor):
         # All transformations expect numpy arrays.
         images = [to_numpy_array(image) for image in images]
 
-        if is_scaled_image(images[0]) and do_rescale:
+        if do_rescale and is_scaled_image(images[0]):
             logger.warning_once(
                 "It looks like you are trying to rescale already rescaled images. If the input"
                 " images have pixel values between 0 and 1, set `do_rescale=False` to avoid rescaling them again."
diff --git a/src/transformers/models/llava_next_video/image_processing_llava_next_video.py b/src/transformers/models/llava_next_video/image_processing_llava_next_video.py
index f30e2c54fe9..81f55f9373b 100644
--- a/src/transformers/models/llava_next_video/image_processing_llava_next_video.py
+++ b/src/transformers/models/llava_next_video/image_processing_llava_next_video.py
@@ -263,7 +263,7 @@ class LlavaNextVideoImageProcessor(BaseImageProcessor):
         # All transformations expect numpy arrays.
         images = [to_numpy_array(image) for image in images]
 
-        if is_scaled_image(images[0]) and do_rescale:
+        if do_rescale and is_scaled_image(images[0]):
             logger.warning_once(
                 "It looks like you are trying to rescale already rescaled images. If the input"
                 " images have pixel values between 0 and 1, set `do_rescale=False` to avoid rescaling them again."
diff --git a/src/transformers/models/llava_onevision/image_processing_llava_onevision.py b/src/transformers/models/llava_onevision/image_processing_llava_onevision.py
index cde9a643e3e..75581d25aef 100644
--- a/src/transformers/models/llava_onevision/image_processing_llava_onevision.py
+++ b/src/transformers/models/llava_onevision/image_processing_llava_onevision.py
@@ -657,7 +657,7 @@ class LlavaOnevisionImageProcessor(BaseImageProcessor):
         # All transformations expect numpy arrays.
         images = [to_numpy_array(image) for image in images]
 
-        if is_scaled_image(images[0]) and do_rescale:
+        if do_rescale and is_scaled_image(images[0]):
             logger.warning_once(
                 "It looks like you are trying to rescale already rescaled images. If the input"
                 " images have pixel values between 0 and 1, set `do_rescale=False` to avoid rescaling them again."
diff --git a/src/transformers/models/llava_onevision/video_processing_llava_onevision.py b/src/transformers/models/llava_onevision/video_processing_llava_onevision.py
index 4391dd33088..a5aa42688e6 100644
--- a/src/transformers/models/llava_onevision/video_processing_llava_onevision.py
+++ b/src/transformers/models/llava_onevision/video_processing_llava_onevision.py
@@ -181,7 +181,7 @@ class LlavaOnevisionVideoProcessor(BaseImageProcessor):
         # All transformations expect numpy arrays.
         images = [to_numpy_array(image) for image in images]
 
-        if is_scaled_image(images[0]) and do_rescale:
+        if do_rescale and is_scaled_image(images[0]):
             logger.warning_once(
                 "It looks like you are trying to rescale already rescaled videos. If the input"
                 " images have pixel values between 0 and 1, set `do_rescale=False` to avoid rescaling them again."
diff --git a/src/transformers/models/mask2former/image_processing_mask2former.py b/src/transformers/models/mask2former/image_processing_mask2former.py
index 1184207744c..6797fb48bc8 100644
--- a/src/transformers/models/mask2former/image_processing_mask2former.py
+++ b/src/transformers/models/mask2former/image_processing_mask2former.py
@@ -614,7 +614,7 @@ class Mask2FormerImageProcessor(BaseImageProcessor):
         """Preprocesses a single image."""
         # All transformations expect numpy arrays.
         image = to_numpy_array(image)
-        if is_scaled_image(image) and do_rescale:
+        if do_rescale and is_scaled_image(image):
             logger.warning_once(
                 "It looks like you are trying to rescale already rescaled images. If the input"
                 " images have pixel values between 0 and 1, set `do_rescale=False` to avoid rescaling them again."
diff --git a/src/transformers/models/maskformer/image_processing_maskformer.py b/src/transformers/models/maskformer/image_processing_maskformer.py
index 104b68cbed4..87a3063a37d 100644
--- a/src/transformers/models/maskformer/image_processing_maskformer.py
+++ b/src/transformers/models/maskformer/image_processing_maskformer.py
@@ -615,7 +615,7 @@ class MaskFormerImageProcessor(BaseImageProcessor):
         """Preprocesses a single image."""
         # All transformations expect numpy arrays.
         image = to_numpy_array(image)
-        if is_scaled_image(image) and do_rescale:
+        if do_rescale and is_scaled_image(image):
             logger.warning_once(
                 "It looks like you are trying to rescale already rescaled images. If the input"
                 " images have pixel values between 0 and 1, set `do_rescale=False` to avoid rescaling them again."
diff --git a/src/transformers/models/mobilenet_v1/image_processing_mobilenet_v1.py b/src/transformers/models/mobilenet_v1/image_processing_mobilenet_v1.py
index de15f4fa151..f0092ca0296 100644
--- a/src/transformers/models/mobilenet_v1/image_processing_mobilenet_v1.py
+++ b/src/transformers/models/mobilenet_v1/image_processing_mobilenet_v1.py
@@ -266,7 +266,7 @@ class MobileNetV1ImageProcessor(BaseImageProcessor):
         # All transformations expect numpy arrays.
         images = [to_numpy_array(image) for image in images]
 
-        if is_scaled_image(images[0]) and do_rescale:
+        if do_rescale and is_scaled_image(images[0]):
             logger.warning_once(
                 "It looks like you are trying to rescale already rescaled images. If the input"
                 " images have pixel values between 0 and 1, set `do_rescale=False` to avoid rescaling them again."
diff --git a/src/transformers/models/mobilenet_v2/image_processing_mobilenet_v2.py b/src/transformers/models/mobilenet_v2/image_processing_mobilenet_v2.py
index 68299bc085f..c93f95a2058 100644
--- a/src/transformers/models/mobilenet_v2/image_processing_mobilenet_v2.py
+++ b/src/transformers/models/mobilenet_v2/image_processing_mobilenet_v2.py
@@ -269,7 +269,7 @@ class MobileNetV2ImageProcessor(BaseImageProcessor):
         # All transformations expect numpy arrays.
         images = [to_numpy_array(image) for image in images]
 
-        if is_scaled_image(images[0]) and do_rescale:
+        if do_rescale and is_scaled_image(images[0]):
             logger.warning_once(
                 "It looks like you are trying to rescale already rescaled images. If the input"
                 " images have pixel values between 0 and 1, set `do_rescale=False` to avoid rescaling them again."
diff --git a/src/transformers/models/mobilevit/image_processing_mobilevit.py b/src/transformers/models/mobilevit/image_processing_mobilevit.py
index 2825aa647dc..3a32a79b272 100644
--- a/src/transformers/models/mobilevit/image_processing_mobilevit.py
+++ b/src/transformers/models/mobilevit/image_processing_mobilevit.py
@@ -234,7 +234,7 @@ class MobileViTImageProcessor(BaseImageProcessor):
         """Preprocesses a single image."""
         # All transformations expect numpy arrays.
         image = to_numpy_array(image)
-        if is_scaled_image(image) and do_rescale:
+        if do_rescale and is_scaled_image(image):
             logger.warning_once(
                 "It looks like you are trying to rescale already rescaled images. If the input"
                 " images have pixel values between 0 and 1, set `do_rescale=False` to avoid rescaling them again."
diff --git a/src/transformers/models/nougat/image_processing_nougat.py b/src/transformers/models/nougat/image_processing_nougat.py
index 00a9d069d10..2cbd6e67294 100644
--- a/src/transformers/models/nougat/image_processing_nougat.py
+++ b/src/transformers/models/nougat/image_processing_nougat.py
@@ -463,7 +463,7 @@ class NougatImageProcessor(BaseImageProcessor):
         # All transformations expect numpy arrays.
         images = [to_numpy_array(image) for image in images]
 
-        if is_scaled_image(images[0]) and do_rescale:
+        if do_rescale and is_scaled_image(images[0]):
             logger.warning_once(
                 "It looks like you are trying to rescale already rescaled images. If the input"
                 " images have pixel values between 0 and 1, set `do_rescale=False` to avoid rescaling them again."
diff --git a/src/transformers/models/oneformer/image_processing_oneformer.py b/src/transformers/models/oneformer/image_processing_oneformer.py
index 0988e1fecaa..f931ab31092 100644
--- a/src/transformers/models/oneformer/image_processing_oneformer.py
+++ b/src/transformers/models/oneformer/image_processing_oneformer.py
@@ -617,7 +617,7 @@ class OneFormerImageProcessor(BaseImageProcessor):
         """Preprocesses a single image."""
         # All transformations expect numpy arrays.
         image = to_numpy_array(image)
-        if is_scaled_image(image) and do_rescale:
+        if do_rescale and is_scaled_image(image):
             logger.warning_once(
                 "It looks like you are trying to rescale already rescaled images. If the input"
                 " images have pixel values between 0 and 1, set `do_rescale=False` to avoid rescaling them again."
diff --git a/src/transformers/models/owlv2/image_processing_owlv2.py b/src/transformers/models/owlv2/image_processing_owlv2.py
index f21c73ce9c2..ac637d62dd6 100644
--- a/src/transformers/models/owlv2/image_processing_owlv2.py
+++ b/src/transformers/models/owlv2/image_processing_owlv2.py
@@ -424,7 +424,7 @@ class Owlv2ImageProcessor(BaseImageProcessor):
         # All transformations expect numpy arrays.
         images = [to_numpy_array(image) for image in images]
 
-        if is_scaled_image(images[0]) and do_rescale:
+        if do_rescale and is_scaled_image(images[0]):
             logger.warning_once(
                 "It looks like you are trying to rescale already rescaled images. If the input"
                 " images have pixel values between 0 and 1, set `do_rescale=False` to avoid rescaling them again."
diff --git a/src/transformers/models/owlvit/image_processing_owlvit.py b/src/transformers/models/owlvit/image_processing_owlvit.py
index 1d6fc69189f..05c2fb908c0 100644
--- a/src/transformers/models/owlvit/image_processing_owlvit.py
+++ b/src/transformers/models/owlvit/image_processing_owlvit.py
@@ -373,7 +373,7 @@ class OwlViTImageProcessor(BaseImageProcessor):
         # All transformations expect numpy arrays
         images = [to_numpy_array(image) for image in images]
 
-        if is_scaled_image(images[0]) and do_rescale:
+        if do_rescale and is_scaled_image(images[0]):
             logger.warning_once(
                 "It looks like you are trying to rescale already rescaled images. If the input"
                 " images have pixel values between 0 and 1, set `do_rescale=False` to avoid rescaling them again."
diff --git a/src/transformers/models/perceiver/image_processing_perceiver.py b/src/transformers/models/perceiver/image_processing_perceiver.py
index b96bea73881..dab5ed6b078 100644
--- a/src/transformers/models/perceiver/image_processing_perceiver.py
+++ b/src/transformers/models/perceiver/image_processing_perceiver.py
@@ -307,7 +307,7 @@ class PerceiverImageProcessor(BaseImageProcessor):
         # All transformations expect numpy arrays.
         images = [to_numpy_array(image) for image in images]
 
-        if is_scaled_image(images[0]) and do_rescale:
+        if do_rescale and is_scaled_image(images[0]):
             logger.warning_once(
                 "It looks like you are trying to rescale already rescaled images. If the input"
                 " images have pixel values between 0 and 1, set `do_rescale=False` to avoid rescaling them again."
diff --git a/src/transformers/models/pixtral/image_processing_pixtral.py b/src/transformers/models/pixtral/image_processing_pixtral.py
index 0fcd032d2c0..05299949a61 100644
--- a/src/transformers/models/pixtral/image_processing_pixtral.py
+++ b/src/transformers/models/pixtral/image_processing_pixtral.py
@@ -473,7 +473,7 @@ class PixtralImageProcessor(BaseImageProcessor):
         # All transformations expect numpy arrays.
         images_list = [[to_numpy_array(image) for image in images] for images in images_list]
 
-        if is_scaled_image(images_list[0][0]) and do_rescale:
+        if do_rescale and is_scaled_image(images_list[0][0]):
             logger.warning_once(
                 "It looks like you are trying to rescale already rescaled images. If the input"
                 " images have pixel values between 0 and 1, set `do_rescale=False` to avoid rescaling them again."
diff --git a/src/transformers/models/poolformer/image_processing_poolformer.py b/src/transformers/models/poolformer/image_processing_poolformer.py
index 0dfb66acf58..624f1a6f40e 100644
--- a/src/transformers/models/poolformer/image_processing_poolformer.py
+++ b/src/transformers/models/poolformer/image_processing_poolformer.py
@@ -314,7 +314,7 @@ class PoolFormerImageProcessor(BaseImageProcessor):
         # All transformations expect numpy arrays.
         images = [to_numpy_array(image) for image in images]
 
-        if is_scaled_image(images[0]) and do_rescale:
+        if do_rescale and is_scaled_image(images[0]):
             logger.warning_once(
                 "It looks like you are trying to rescale already rescaled images. If the input"
                 " images have pixel values between 0 and 1, set `do_rescale=False` to avoid rescaling them again."
diff --git a/src/transformers/models/pvt/image_processing_pvt.py b/src/transformers/models/pvt/image_processing_pvt.py
index f37442a4bdb..75fcba6ea14 100644
--- a/src/transformers/models/pvt/image_processing_pvt.py
+++ b/src/transformers/models/pvt/image_processing_pvt.py
@@ -237,7 +237,7 @@ class PvtImageProcessor(BaseImageProcessor):
         # All transformations expect numpy arrays.
         images = [to_numpy_array(image) for image in images]
 
-        if is_scaled_image(images[0]) and do_rescale:
+        if do_rescale and is_scaled_image(images[0]):
             logger.warning_once(
                 "It looks like you are trying to rescale already rescaled images. If the input"
                 " images have pixel values between 0 and 1, set `do_rescale=False` to avoid rescaling them again."
diff --git a/src/transformers/models/qwen2_vl/image_processing_qwen2_vl.py b/src/transformers/models/qwen2_vl/image_processing_qwen2_vl.py
index cc0fd335403..407034ef180 100644
--- a/src/transformers/models/qwen2_vl/image_processing_qwen2_vl.py
+++ b/src/transformers/models/qwen2_vl/image_processing_qwen2_vl.py
@@ -252,7 +252,7 @@ class Qwen2VLImageProcessor(BaseImageProcessor):
         # All transformations expect numpy arrays.
         images = [to_numpy_array(image) for image in images]
 
-        if is_scaled_image(images[0]) and do_rescale:
+        if do_rescale and is_scaled_image(images[0]):
             logger.warning_once(
                 "It looks like you are trying to rescale already rescaled images. If the input"
                 " images have pixel values between 0 and 1, set `do_rescale=False` to avoid rescaling them again."
diff --git a/src/transformers/models/rt_detr/image_processing_rt_detr.py b/src/transformers/models/rt_detr/image_processing_rt_detr.py
index d031f40848f..b3e75972cc6 100644
--- a/src/transformers/models/rt_detr/image_processing_rt_detr.py
+++ b/src/transformers/models/rt_detr/image_processing_rt_detr.py
@@ -935,7 +935,7 @@ class RTDetrImageProcessor(BaseImageProcessor):
         # All transformations expect numpy arrays
         images = [to_numpy_array(image) for image in images]
 
-        if is_scaled_image(images[0]) and do_rescale:
+        if do_rescale and is_scaled_image(images[0]):
             logger.warning_once(
                 "It looks like you are trying to rescale already rescaled images. If the input"
                 " images have pixel values between 0 and 1, set `do_rescale=False` to avoid rescaling them again."
diff --git a/src/transformers/models/sam/image_processing_sam.py b/src/transformers/models/sam/image_processing_sam.py
index a0d54b4afad..a1cace89fa1 100644
--- a/src/transformers/models/sam/image_processing_sam.py
+++ b/src/transformers/models/sam/image_processing_sam.py
@@ -316,7 +316,7 @@ class SamImageProcessor(BaseImageProcessor):
         # All transformations expect numpy arrays.
         image = to_numpy_array(image)
 
-        if is_scaled_image(image) and do_rescale:
+        if do_rescale and is_scaled_image(image):
             logger.warning_once(
                 "It looks like you are trying to rescale already rescaled images. If the input"
                 " images have pixel values between 0 and 1, set `do_rescale=False` to avoid rescaling them again."
diff --git a/src/transformers/models/segformer/image_processing_segformer.py b/src/transformers/models/segformer/image_processing_segformer.py
index d6662f1f620..51b4cd27cab 100644
--- a/src/transformers/models/segformer/image_processing_segformer.py
+++ b/src/transformers/models/segformer/image_processing_segformer.py
@@ -233,7 +233,7 @@ class SegformerImageProcessor(BaseImageProcessor):
         """Preprocesses a single image."""
         # All transformations expect numpy arrays.
         image = to_numpy_array(image)
-        if is_scaled_image(image) and do_rescale:
+        if do_rescale and is_scaled_image(image):
             logger.warning_once(
                 "It looks like you are trying to rescale already rescaled images. If the input"
                 " images have pixel values between 0 and 1, set `do_rescale=False` to avoid rescaling them again."
diff --git a/src/transformers/models/seggpt/image_processing_seggpt.py b/src/transformers/models/seggpt/image_processing_seggpt.py
index 4a91ee76e3e..bcc1ad32efe 100644
--- a/src/transformers/models/seggpt/image_processing_seggpt.py
+++ b/src/transformers/models/seggpt/image_processing_seggpt.py
@@ -346,7 +346,7 @@ class SegGptImageProcessor(BaseImageProcessor):
         # All transformations expect numpy arrays.
         images = [to_numpy_array(image) for image in images]
 
-        if is_scaled_image(images[0]) and do_rescale:
+        if do_rescale and is_scaled_image(images[0]):
             logger.warning_once(
                 "It looks like you are trying to rescale already rescaled images. If the input"
                 " images have pixel values between 0 and 1, set `do_rescale=False` to avoid rescaling them again."
diff --git a/src/transformers/models/siglip/image_processing_siglip.py b/src/transformers/models/siglip/image_processing_siglip.py
index 5b22ac51689..b87adb7492d 100644
--- a/src/transformers/models/siglip/image_processing_siglip.py
+++ b/src/transformers/models/siglip/image_processing_siglip.py
@@ -204,7 +204,7 @@ class SiglipImageProcessor(BaseImageProcessor):
         # All transformations expect numpy arrays.
         images = [to_numpy_array(image) for image in images]
 
-        if is_scaled_image(images[0]) and do_rescale:
+        if do_rescale and is_scaled_image(images[0]):
             logger.warning_once(
                 "It looks like you are trying to rescale already rescaled images. If the input"
                 " images have pixel values between 0 and 1, set `do_rescale=False` to avoid rescaling them again."
diff --git a/src/transformers/models/superpoint/image_processing_superpoint.py b/src/transformers/models/superpoint/image_processing_superpoint.py
index 9ae10344843..2d60b9fc042 100644
--- a/src/transformers/models/superpoint/image_processing_superpoint.py
+++ b/src/transformers/models/superpoint/image_processing_superpoint.py
@@ -241,7 +241,7 @@ class SuperPointImageProcessor(BaseImageProcessor):
         # All transformations expect numpy arrays.
         images = [to_numpy_array(image) for image in images]
 
-        if is_scaled_image(images[0]) and do_rescale:
+        if do_rescale and is_scaled_image(images[0]):
             logger.warning_once(
                 "It looks like you are trying to rescale already rescaled images. If the input"
                 " images have pixel values between 0 and 1, set `do_rescale=False` to avoid rescaling them again."
diff --git a/src/transformers/models/swin2sr/image_processing_swin2sr.py b/src/transformers/models/swin2sr/image_processing_swin2sr.py
index 3ab551ebc6e..2832e531602 100644
--- a/src/transformers/models/swin2sr/image_processing_swin2sr.py
+++ b/src/transformers/models/swin2sr/image_processing_swin2sr.py
@@ -176,7 +176,7 @@ class Swin2SRImageProcessor(BaseImageProcessor):
         # All transformations expect numpy arrays.
         images = [to_numpy_array(image) for image in images]
 
-        if is_scaled_image(images[0]) and do_rescale:
+        if do_rescale and is_scaled_image(images[0]):
             logger.warning_once(
                 "It looks like you are trying to rescale already rescaled images. If the input"
                 " images have pixel values between 0 and 1, set `do_rescale=False` to avoid rescaling them again."
diff --git a/src/transformers/models/video_llava/image_processing_video_llava.py b/src/transformers/models/video_llava/image_processing_video_llava.py
index 4028f552c1b..4e978346176 100644
--- a/src/transformers/models/video_llava/image_processing_video_llava.py
+++ b/src/transformers/models/video_llava/image_processing_video_llava.py
@@ -377,7 +377,7 @@ class VideoLlavaImageProcessor(BaseImageProcessor):
         # All transformations expect numpy arrays.
         image = to_numpy_array(image)
 
-        if is_scaled_image(image) and do_rescale:
+        if do_rescale and is_scaled_image(image):
             logger.warning_once(
                 "It looks like you are trying to rescale already rescaled images/video frames. If the input"
                 " images have pixel values between 0 and 1, set `do_rescale=False` to avoid rescaling them again."
diff --git a/src/transformers/models/videomae/image_processing_videomae.py b/src/transformers/models/videomae/image_processing_videomae.py
index 1322a69a642..afba947bbdb 100644
--- a/src/transformers/models/videomae/image_processing_videomae.py
+++ b/src/transformers/models/videomae/image_processing_videomae.py
@@ -208,7 +208,7 @@ class VideoMAEImageProcessor(BaseImageProcessor):
         # All transformations expect numpy arrays.
         image = to_numpy_array(image)
 
-        if is_scaled_image(image) and do_rescale:
+        if do_rescale and is_scaled_image(image):
             logger.warning_once(
                 "It looks like you are trying to rescale already rescaled images. If the input"
                 " images have pixel values between 0 and 1, set `do_rescale=False` to avoid rescaling them again."
diff --git a/src/transformers/models/vilt/image_processing_vilt.py b/src/transformers/models/vilt/image_processing_vilt.py
index 86351eca1f6..18890c0dbfa 100644
--- a/src/transformers/models/vilt/image_processing_vilt.py
+++ b/src/transformers/models/vilt/image_processing_vilt.py
@@ -438,7 +438,7 @@ class ViltImageProcessor(BaseImageProcessor):
         # All transformations expect numpy arrays.
         images = [to_numpy_array(image) for image in images]
 
-        if is_scaled_image(images[0]) and do_rescale:
+        if do_rescale and is_scaled_image(images[0]):
             logger.warning_once(
                 "It looks like you are trying to rescale already rescaled images. If the input"
                 " images have pixel values between 0 and 1, set `do_rescale=False` to avoid rescaling them again."
diff --git a/src/transformers/models/vit/image_processing_vit.py b/src/transformers/models/vit/image_processing_vit.py
index 8e6232ac025..afee64dc0e7 100644
--- a/src/transformers/models/vit/image_processing_vit.py
+++ b/src/transformers/models/vit/image_processing_vit.py
@@ -247,7 +247,7 @@ class ViTImageProcessor(BaseImageProcessor):
         # All transformations expect numpy arrays.
         images = [to_numpy_array(image) for image in images]
 
-        if is_scaled_image(images[0]) and do_rescale:
+        if do_rescale and is_scaled_image(images[0]):
             logger.warning_once(
                 "It looks like you are trying to rescale already rescaled images. If the input"
                 " images have pixel values between 0 and 1, set `do_rescale=False` to avoid rescaling them again."
diff --git a/src/transformers/models/vitmatte/image_processing_vitmatte.py b/src/transformers/models/vitmatte/image_processing_vitmatte.py
index 4c51e2a49b3..4c3b06e0881 100644
--- a/src/transformers/models/vitmatte/image_processing_vitmatte.py
+++ b/src/transformers/models/vitmatte/image_processing_vitmatte.py
@@ -223,7 +223,7 @@ class VitMatteImageProcessor(BaseImageProcessor):
         images = [to_numpy_array(image) for image in images]
         trimaps = [to_numpy_array(trimap) for trimap in trimaps]
 
-        if is_scaled_image(images[0]) and do_rescale:
+        if do_rescale and is_scaled_image(images[0]):
             logger.warning_once(
                 "It looks like you are trying to rescale already rescaled images. If the input"
                 " images have pixel values between 0 and 1, set `do_rescale=False` to avoid rescaling them again."
diff --git a/src/transformers/models/vivit/image_processing_vivit.py b/src/transformers/models/vivit/image_processing_vivit.py
index 19a97f9c645..1343d97a91a 100644
--- a/src/transformers/models/vivit/image_processing_vivit.py
+++ b/src/transformers/models/vivit/image_processing_vivit.py
@@ -262,7 +262,7 @@ class VivitImageProcessor(BaseImageProcessor):
         # All transformations expect numpy arrays.
         image = to_numpy_array(image)
 
-        if is_scaled_image(image) and do_rescale:
+        if do_rescale and is_scaled_image(image):
             logger.warning_once(
                 "It looks like you are trying to rescale already rescaled images. If the input"
                 " images have pixel values between 0 and 1, set `do_rescale=False` to avoid rescaling them again."
diff --git a/src/transformers/models/yolos/image_processing_yolos.py b/src/transformers/models/yolos/image_processing_yolos.py
index 38a99cbea52..3c520950021 100644
--- a/src/transformers/models/yolos/image_processing_yolos.py
+++ b/src/transformers/models/yolos/image_processing_yolos.py
@@ -1343,7 +1343,7 @@ class YolosImageProcessor(BaseImageProcessor):
         # All transformations expect numpy arrays
         images = [to_numpy_array(image) for image in images]
 
-        if is_scaled_image(images[0]) and do_rescale:
+        if do_rescale and is_scaled_image(images[0]):
             logger.warning_once(
                 "It looks like you are trying to rescale already rescaled images. If the input"
                 " images have pixel values between 0 and 1, set `do_rescale=False` to avoid rescaling them again."
diff --git a/src/transformers/models/zoedepth/image_processing_zoedepth.py b/src/transformers/models/zoedepth/image_processing_zoedepth.py
index de5f6795f0c..f0457d00d93 100644
--- a/src/transformers/models/zoedepth/image_processing_zoedepth.py
+++ b/src/transformers/models/zoedepth/image_processing_zoedepth.py
@@ -404,7 +404,7 @@ class ZoeDepthImageProcessor(BaseImageProcessor):
         # All transformations expect numpy arrays.
         images = [to_numpy_array(image) for image in images]
 
-        if is_scaled_image(images[0]) and do_rescale:
+        if do_rescale and is_scaled_image(images[0]):
             logger.warning_once(
                 "It looks like you are trying to rescale already rescaled images. If the input"
                 " images have pixel values between 0 and 1, set `do_rescale=False` to avoid rescaling them again."