diff --git a/comfy/ldm/kandinsky5/model.py b/comfy/ldm/kandinsky5/model.py
index ac9352867..f4e02af70 100644
--- a/comfy/ldm/kandinsky5/model.py
+++ b/comfy/ldm/kandinsky5/model.py
@@ -387,7 +387,7 @@ class Kandinsky5(nn.Module):
         transformer_options["block_type"] = "double"
 
         B, _, T, H, W = x.shape
-        NABLA_THR = 40 # long (10 sec) generation
+        NABLA_THR = 31 # long (10 sec) generation
         if T > NABLA_THR:
             assert self.patch_size[0] == 1
 
@@ -481,5 +481,3 @@ class Kandinsky5(nn.Module):
             self,
             comfy.patcher_extension.get_all_wrappers(comfy.patcher_extension.WrappersMP.DIFFUSION_MODEL, transformer_options)
         ).execute(x, timestep, context, y, time_dim_replace=time_dim_replace, transformer_options=transformer_options, **kwargs)
-
-
diff --git a/comfy_extras/nodes_kandinsky5.py b/comfy_extras/nodes_kandinsky5.py
index 9cb234be1..aaaf83566 100644
--- a/comfy_extras/nodes_kandinsky5.py
+++ b/comfy_extras/nodes_kandinsky5.py
@@ -34,6 +34,9 @@ class Kandinsky5ImageToVideo(io.ComfyNode):
 
     @classmethod
     def execute(cls, positive, negative, vae, width, height, length, batch_size, start_image=None) -> io.NodeOutput:
+        if length > 121: # 10 sec generation, for nabla
+            height = 128 * round(height / 128)
+            width = 128 * round(width / 128)
         latent = torch.zeros([batch_size, 16, ((length - 1) // 4) + 1, height // 8, width // 8], device=comfy.model_management.intermediate_device())
         cond_latent_out = {}
         if start_image is not None: