diff --git a/README.md b/README.md
index 362b0ed..ac4eaa4 100644
--- a/README.md
+++ b/README.md
@@ -74,6 +74,13 @@ You can see blurred and broken text after inpainting in the first image and how
 </details>
 
 
+## Notes
+
+Unfortunately, due to the nature of ComfyUI code some nodes are not compatible with these, since we are trying to patch the same ComfyUI's functions. 
+
+List of known uncompartible nodes.
+
+- [WASasquatch's FreeU_Advanced](https://github.com/WASasquatch/FreeU_Advanced/tree/main)
 
 
 ## Credits
diff --git a/brushnet/brushnet.py b/brushnet/brushnet.py
index 0d9fb8d..705e02d 100644
--- a/brushnet/brushnet.py
+++ b/brushnet/brushnet.py
@@ -818,7 +818,7 @@ class BrushNetModel(ModelMixin, ConfigMixin):
         # 2. pre-process
 
         if sample.shape[2] != brushnet_cond.shape[2] or sample.shape[3] != brushnet_cond.shape[3]:
-            raise Exception("Image and latent should be the same size")
+            raise Exception("Image "+ str(brushnet_cond.shape) +" and latent " + str(sample.shape) + " should be the same size")
 
         brushnet_cond=torch.concat([sample,brushnet_cond],1)
         sample = self.conv_in_condition(brushnet_cond)
diff --git a/brushnet_nodes.py b/brushnet_nodes.py
index 94f841a..eddb3f4 100644
--- a/brushnet_nodes.py
+++ b/brushnet_nodes.py
@@ -254,7 +254,7 @@ class BrushNet:
             for i, j in output_blocks:
                 add_model_patch(model, apply_brushnet, ('output', i), (j, 'after'))
 
-        latent = torch.zeros([1, 4, height // 8, width // 8], device=brushnet['brushnet'].device)
+        latent = torch.zeros([1, 4, conditioning_latents.shape[2], conditioning_latents.shape[3]], device=brushnet['brushnet'].device)
 
         return (model, {"samples":latent},)
 
@@ -324,7 +324,7 @@ class TestNode:
 
 
 
-# Unfortunately, ModelPatcher does not have necessary hooks to patch, so we have to patch code instead
+# Unfortunately, ModelPatcher does not have necessary hooks to patch, so we have to patch the code instead
 def modified_forward_timestep_embed(block, x, emb, context=None, transformer_options={}, 
                            output_shape=None, time_context=None, 
                            num_video_frames=None, image_only_indicator=None):