diff --git a/infer-web.py b/infer-web.py
index 3eaf2fb..751bf0f 100644
--- a/infer-web.py
+++ b/infer-web.py
@@ -148,19 +148,20 @@ def get_vc(sid):
     global n_spk,tgt_sr,net_g,vc,cpt
     if(sid==[]):
         global hubert_model
-        print("clean_empty_cache")
-        del n_spk, vc, hubert_model,tgt_sr#,cpt
-        hubert_model = net_g=n_spk=vc=hubert_model=tgt_sr=None
-        torch.cuda.empty_cache()
-        ###楼下不这么折腾清理不干净
-        if_f0 = cpt.get("f0", 1)
-        if (if_f0 == 1):
-            net_g = SynthesizerTrnMs256NSFsid(*cpt["config"], is_half=is_half)
-        else:
-            net_g = SynthesizerTrnMs256NSFsid_nono(*cpt["config"])
-        del net_g,cpt
-        torch.cuda.empty_cache()
-        cpt=None
+        if (hubert_model != None): # 考虑到轮询，需要加个判断看是否 sid 是由有模型切换到无模型的
+            print("clean_empty_cache")
+            del net_g, n_spk, vc, hubert_model,tgt_sr#,cpt
+            hubert_model = net_g=n_spk=vc=hubert_model=tgt_sr=None
+            torch.cuda.empty_cache()
+            ###楼下不这么折腾清理不干净
+            if_f0 = cpt.get("f0", 1)
+            if (if_f0 == 1):
+                net_g = SynthesizerTrnMs256NSFsid(*cpt["config"], is_half=is_half)
+            else:
+                net_g = SynthesizerTrnMs256NSFsid_nono(*cpt["config"])
+            del net_g,cpt
+            torch.cuda.empty_cache()
+            cpt=None
         return {"visible": False, "__type__": "update"}
     person = "%s/%s" % (weight_root, sid)
     print("loading %s"%person)