feat: normalize key names when extracting tensors from tuned model

networks/flux_extract_lora.py

@@ -80,10 +80,19 @@ def svd(
             keys.append(key)
 
         with open_fn(model_tuned) as f_tuned:
-            for key in tqdm(keys):
+            for original_key in tqdm(keys):
+                # if the key has annoying prefix, remove it
+                key = original_key
+                if key.startswith("model.diffusion_model."):
+                    key = key.replace("model.diffusion_model.", "")  # normalize key name
+
                 # get tensors and calculate difference
-                value_o = f_org.get_tensor(key)
-                value_t = f_tuned.get_tensor(key)
+                value_o = f_org.get_tensor(original_key)  # the original model has this key
+                try:
+                    value_t = f_tuned.get_tensor(original_key)  # the tuned model may not have this key
+                except:
+                    value_t = f_tuned.get_tensor(key)
+
                 mat = value_t.to(calc_dtype) - value_o.to(calc_dtype)
                 del value_o, value_t