diff --git a/configs/nafnet/nafnet_c64eb11128mb1db1111_8xb8-lr1e-3-400k_gopro.py b/configs/nafnet/nafnet_c64eb11128mb1db1111_8xb8-lr1e-3-400k_gopro.py
index fcb87e7b80..bf68b89a35 100644
--- a/configs/nafnet/nafnet_c64eb11128mb1db1111_8xb8-lr1e-3-400k_gopro.py
+++ b/configs/nafnet/nafnet_c64eb11128mb1db1111_8xb8-lr1e-3-400k_gopro.py
@@ -4,9 +4,6 @@
 work_dir = f'./work_dirs/{experiment_name}'
 save_dir = './work_dirs/'
 
-# DistributedDataParallel
-model_wrapper_cfg = dict(type='MMSeparateDistributedDataParallel')
-
 # model settings
 model = dict(
     type='BaseEditModel',
diff --git a/configs/nafnet/nafnet_c64eb2248mb12db2222_8xb8-lr1e-3-400k_sidd.py b/configs/nafnet/nafnet_c64eb2248mb12db2222_8xb8-lr1e-3-400k_sidd.py
index 1b12cc0053..5235d3c79a 100644
--- a/configs/nafnet/nafnet_c64eb2248mb12db2222_8xb8-lr1e-3-400k_sidd.py
+++ b/configs/nafnet/nafnet_c64eb2248mb12db2222_8xb8-lr1e-3-400k_sidd.py
@@ -4,9 +4,6 @@
 work_dir = f'./work_dirs/{experiment_name}'
 save_dir = './work_dirs/'
 
-# DistributedDataParallel
-model_wrapper_cfg = dict(type='MMSeparateDistributedDataParallel')
-
 # model settings
 model = dict(
     type='BaseEditModel',
@@ -94,11 +91,9 @@
 
 # optimizer
 optim_wrapper = dict(
-    constructor='MultiOptimWrapperConstructor',
-    generator=dict(
-        type='OptimWrapper',
-        optimizer=dict(
-            type='AdamW', lr=1e-3, weight_decay=1e-3, betas=(0.9, 0.9))))
+    constructor='DefaultOptimWrapperConstructor',
+    type='OptimWrapper',
+    optimizer=dict(type='AdamW', lr=1e-3, weight_decay=1e-3, betas=(0.9, 0.9)))
 
 # learning policy
 param_scheduler = dict(