diff --git a/api/onnx_web/diffusers/pipelines/panorama.py b/api/onnx_web/diffusers/pipelines/panorama.py
index ab509be3..99e283a1 100644
--- a/api/onnx_web/diffusers/pipelines/panorama.py
+++ b/api/onnx_web/diffusers/pipelines/panorama.py
@@ -350,9 +350,17 @@ class OnnxStableDiffusionPanoramaPipeline(DiffusionPipeline):
         # Here, we define the mappings F_i (see Eq. 7 in the MultiDiffusion paper https://arxiv.org/abs/2302.08113)
         panorama_height /= 8
         panorama_width /= 8
-        num_blocks_height = (panorama_height - window_size) // stride + 1
-        num_blocks_width = (panorama_width - window_size) // stride + 1
+
+        num_blocks_height = abs((panorama_height - window_size) // stride) + 1
+        num_blocks_width = abs((panorama_width - window_size) // stride) + 1
         total_num_blocks = int(num_blocks_height * num_blocks_width)
+        logger.debug(
+            "panorama generated %s views, %s by %s blocks",
+            total_num_blocks,
+            num_blocks_height,
+            num_blocks_width,
+        )
+
         views = []
         for i in range(total_num_blocks):
             h_start = int((i // num_blocks_width) * stride)
@@ -361,12 +369,6 @@ class OnnxStableDiffusionPanoramaPipeline(DiffusionPipeline):
             w_end = w_start + window_size
             views.append((h_start, h_end, w_start, w_end))
 
-        logger.debug(
-            "panorama generated %s views, %s by %s blocks",
-            total_num_blocks,
-            num_blocks_height,
-            num_blocks_width,
-        )
         return views
 
     @torch.no_grad()