add endpoint for Qwen3-TTS -> RVC

rvc/lib/jit/__init__.py

@@ -8,7 +8,7 @@ from tqdm import tqdm
 
 
 def load_inputs(path, device, is_half=False):
-    parm = torch.load(path, map_location=torch.device("cpu"))
+    parm = torch.load(path, map_location=torch.device("cpu"), weights_only=False)
     for key in parm.keys():
         parm[key] = parm[key].to(device)
         if is_half and parm[key].dtype == torch.float32:

rvc/lib/jit/get_rmvpe.py

@@ -5,7 +5,7 @@ def get_rmvpe(model_path="assets/rmvpe/rmvpe.pt", device=torch.device("cpu")):
     from infer.lib.rmvpe import E2E
 
     model = E2E(4, 1, (2, 2))
-    ckpt = torch.load(model_path, map_location=device)
+    ckpt = torch.load(model_path, map_location=device, weights_only=False)
     model.load_state_dict(ckpt)
     model.eval()
     model = model.to(device)

rvc/lib/jit/get_synthesizer.py

@@ -9,7 +9,7 @@ def get_synthesizer(pth_path, device=torch.device("cpu")):
         SynthesizerTrnMs768NSFsid_nono,
     )
 
-    cpt = torch.load(pth_path, map_location=torch.device("cpu"))
+    cpt = torch.load(pth_path, map_location=torch.device("cpu"), weights_only=False)
     # tgt_sr = cpt["config"][-1]
     cpt["config"][-3] = cpt["weight"]["emb_g.weight"].shape[0]
     if_f0 = cpt.get("f0", 1)