Ignore embeddings when sizes don't match and print a WARNING.

comfy/sd1_clip.py

@@ -74,9 +74,12 @@ class SD1ClipModel(torch.nn.Module, ClipTokenWeightEncoder):
                 if isinstance(y, int):
                     tokens_temp += [y]
                 else:
-                    embedding_weights += [y]
-                    tokens_temp += [next_new_token]
-                    next_new_token += 1
+                    if y.shape[0] == current_embeds.weight.shape[1]:
+                        embedding_weights += [y]
+                        tokens_temp += [next_new_token]
+                        next_new_token += 1
+                    else:
+                        print("WARNING: shape mismatch when trying to apply embedding, embedding will be ignored", y.shape[0], current_embeds.weight.shape[1])
             out_tokens += [tokens_temp]
 
         if len(embedding_weights) > 0: