From ed13fd9aed8f6bdc0a78ec126d679c0f729fda15 Mon Sep 17 00:00:00 2001
From: wunianze666-netizen <wunianze666@gmail.com>
Date: Thu, 13 Aug 2026 14:05:43 +0800
Subject: [PATCH] Log WanAnimate interpolation resizing as a warning

---
 .../pipelines/wan/pipeline_wan_animate.py     |  2 +-
 tests/pipelines/wan/test_wan_animate.py       | 24 +++++++++++++++++++
 2 files changed, 25 insertions(+), 1 deletion(-)

diff --git a/src/diffusers/pipelines/wan/pipeline_wan_animate.py b/src/diffusers/pipelines/wan/pipeline_wan_animate.py
index 5806032c0142..a923219a7550 100644
--- a/src/diffusers/pipelines/wan/pipeline_wan_animate.py
+++ b/src/diffusers/pipelines/wan/pipeline_wan_animate.py
@@ -569,7 +569,7 @@ def prepare_prev_segment_cond_latents(
         latent_height = height // self.vae_scale_factor_spatial
         latent_width = width // self.vae_scale_factor_spatial
         if segment_height != height or segment_width != width:
-            print(
+            logger.warning(
                 f"Interpolating prev segment cond video from ({segment_width}, {segment_height}) to ({width}, {height})"
             )
             # Perform a 4D (spatial) rather than a 5D (spatiotemporal) reshape, following the original code
diff --git a/tests/pipelines/wan/test_wan_animate.py b/tests/pipelines/wan/test_wan_animate.py
index da46417629f5..a5c0d91c824a 100644
--- a/tests/pipelines/wan/test_wan_animate.py
+++ b/tests/pipelines/wan/test_wan_animate.py
@@ -12,6 +12,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
+import logging
+
 import pytest
 import torch
 from PIL import Image
@@ -178,6 +180,28 @@ def test_inference_replacement(self):
         video = pipe(**inputs).frames[0]
         assert video.shape == self.output_shape
 
+    def test_prepare_prev_segment_cond_latents_logs_interpolation_warning(self, caplog):
+        pipe = self.get_pipeline()
+        prev_segment_cond_video = torch.zeros((1, 3, 1, 8, 8), dtype=torch.float32)
+
+        with caplog.at_level(logging.WARNING, logger="diffusers.pipelines.wan.pipeline_wan_animate"):
+            pipe.prepare_prev_segment_cond_latents(
+                prev_segment_cond_video=prev_segment_cond_video,
+                batch_size=1,
+                segment_frame_length=5,
+                height=16,
+                width=16,
+                prev_segment_cond_frames=1,
+                task="animate",
+                dtype=torch.float32,
+                device=torch.device("cpu"),
+            )
+
+        assert any(
+            "Interpolating prev segment cond video from (8, 8) to (16, 16)" in record.message
+            for record in caplog.records
+        )
+
     @pytest.mark.skip(
         reason="Setting the Wan Animate latents to zero at the last denoising step does not guarantee that the output"
         " will be zero. I believe this is because the latents are further processed in the outer loop where we loop"