diff --git a/indextts/infer_v2.py b/indextts/infer_v2.py
index d59fb81..8e5451b 100644
--- a/indextts/infer_v2.py
+++ b/indextts/infer_v2.py
@@ -122,7 +122,7 @@ class IndexTTS2:
         self.semantic_std = self.semantic_std.to(self.device)
 
         semantic_codec = build_semantic_codec(self.cfg.semantic_codec)
-        semantic_code_ckpt = hf_hub_download("amphion/MaskGCT", filename="semantic_codec/model.safetensors")
+        semantic_code_ckpt = os.path.join(self.model_dir, "semantic_codec/model.safetensors")
         safetensors.torch.load_model(semantic_codec, semantic_code_ckpt)
         self.semantic_codec = semantic_codec.to(self.device)
         self.semantic_codec.eval()
@@ -144,16 +144,14 @@ class IndexTTS2:
         print(">> s2mel weights restored from:", s2mel_path)
 
         # load campplus_model
-        campplus_ckpt_path = hf_hub_download(
-            "funasr/campplus", filename="campplus_cn_common.bin"
-        )
+        campplus_ckpt_path = os.path.join(self.model_dir, "campplus_cn_common.bin")
         campplus_model = CAMPPlus(feat_dim=80, embedding_size=192)
         campplus_model.load_state_dict(torch.load(campplus_ckpt_path, map_location="cpu"))
         self.campplus_model = campplus_model.to(self.device)
         self.campplus_model.eval()
         print(">> campplus_model weights restored from:", campplus_ckpt_path)
 
-        bigvgan_name = self.cfg.vocoder.name
+        bigvgan_name = os.path.join(self.model_dir, self.cfg.vocoder.name)
         self.bigvgan = bigvgan.BigVGAN.from_pretrained(bigvgan_name, use_cuda_kernel=self.use_cuda_kernel)
         self.bigvgan = self.bigvgan.to(self.device)
         self.bigvgan.remove_weight_norm()