diff --git a/infer/lib/jit/__init__.py b/infer/lib/jit/__init__.py
index 2f2e04a..179fbe0 100644
--- a/infer/lib/jit/__init__.py
+++ b/infer/lib/jit/__init__.py
@@ -1,2 +1,2 @@
 from .utils import load, rmvpe_jit_export, synthesizer_jit_export
-from .synthesizer import get_synthesizer
+from .synthesizer import get_synthesizer, get_synthesizer_ckpt
diff --git a/infer/lib/jit/synthesizer.py b/infer/lib/jit/synthesizer.py
index b8db4fa..5069fe9 100644
--- a/infer/lib/jit/synthesizer.py
+++ b/infer/lib/jit/synthesizer.py
@@ -1,7 +1,6 @@
 import torch
 
-
-def get_synthesizer(pth_path, device=torch.device("cpu")):
+def get_synthesizer_ckpt(cpt, device=torch.device("cpu")):
     from infer.lib.infer_pack.models import (
         SynthesizerTrnMs256NSFsid,
         SynthesizerTrnMs256NSFsid_nono,
@@ -9,7 +8,6 @@ def get_synthesizer(pth_path, device=torch.device("cpu")):
         SynthesizerTrnMs768NSFsid_nono,
     )
 
-    cpt = torch.load(pth_path, map_location=torch.device("cpu"))
     # tgt_sr = cpt["config"][-1]
     cpt["config"][-3] = cpt["weight"]["emb_g.weight"].shape[0]
     if_f0 = cpt.get("f0", 1)
@@ -36,3 +34,8 @@ def get_synthesizer(pth_path, device=torch.device("cpu")):
     net_g.eval().to(device)
     net_g.remove_weight_norm()
     return net_g, cpt
+
+def get_synthesizer(pth_path, device=torch.device("cpu")):
+    return get_synthesizer_ckpt(
+        torch.load(pth_path, map_location=torch.device("cpu")), device,
+    )
diff --git a/infer/modules/vc/hash.py b/infer/modules/vc/hash.py
index 2234aab..0b29936 100644
--- a/infer/modules/vc/hash.py
+++ b/infer/modules/vc/hash.py
@@ -6,6 +6,7 @@ from scipy.fft import fft
 from pybase16384 import encode_to_string, decode_from_string
 
 from configs import CPUConfig, singleton_variable
+from infer.lib.jit import get_synthesizer_ckpt
 
 from .pipeline import Pipeline
 from .utils import load_hubert
@@ -123,38 +124,19 @@ def model_hash(config, tgt_sr, net_g, if_f0, version):
         n = -n
         audio_opt = audio_opt[n:-n]
     h = wave_hash(audio_opt)
-    del pipeline, audio, audio_opt
+    del pipeline, audio_opt
     return h
 
 
 def model_hash_ckpt(cpt):
-    from infer.lib.infer_pack.models import (
-        SynthesizerTrnMs256NSFsid,
-        SynthesizerTrnMs256NSFsid_nono,
-        SynthesizerTrnMs768NSFsid,
-        SynthesizerTrnMs768NSFsid_nono,
-    )
-
     config = CPUConfig()
 
     with TorchSeedContext(114514):
+        net_g, cpt = get_synthesizer_ckpt(cpt, config.device)
         tgt_sr = cpt["config"][-1]
         if_f0 = cpt.get("f0", 1)
         version = cpt.get("version", "v1")
-        synthesizer_class = {
-            ("v1", 1): SynthesizerTrnMs256NSFsid,
-            ("v1", 0): SynthesizerTrnMs256NSFsid_nono,
-            ("v2", 1): SynthesizerTrnMs768NSFsid,
-            ("v2", 0): SynthesizerTrnMs768NSFsid_nono,
-        }
-        net_g = synthesizer_class.get((version, if_f0), SynthesizerTrnMs256NSFsid)(
-            *cpt["config"], is_half=config.is_half
-        )
 
-        del net_g.enc_q
-
-        net_g.load_state_dict(cpt["weight"], strict=False)
-        net_g.eval().to(config.device)
         if config.is_half:
             net_g = net_g.half()
         else: