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https://github.com/FunAudioLLM/CosyVoice.git
synced 2026-02-04 09:29:25 +08:00
fix: resolve critical vulnerability V-005
Automatically generated security fix
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@@ -47,7 +47,7 @@ class CosyVoiceFrontEnd:
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providers=["CUDAExecutionProvider" if torch.cuda.is_available() else
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"CPUExecutionProvider"])
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if os.path.exists(spk2info):
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self.spk2info = torch.load(spk2info, map_location=self.device)
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self.spk2info = torch.load(spk2info, map_location=self.device, weights_only=True)
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else:
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self.spk2info = {}
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self.allowed_special = allowed_special
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@@ -62,12 +62,12 @@ class CosyVoiceModel:
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self.hift_cache_dict = {}
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def load(self, llm_model, flow_model, hift_model):
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self.llm.load_state_dict(torch.load(llm_model, map_location=self.device), strict=True)
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self.llm.load_state_dict(torch.load(llm_model, map_location=self.device, weights_only=True), strict=True)
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self.llm.to(self.device).eval()
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self.flow.load_state_dict(torch.load(flow_model, map_location=self.device), strict=True)
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self.flow.load_state_dict(torch.load(flow_model, map_location=self.device, weights_only=True), strict=True)
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self.flow.to(self.device).eval()
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# in case hift_model is a hifigan model
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hift_state_dict = {k.replace('generator.', ''): v for k, v in torch.load(hift_model, map_location=self.device).items()}
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hift_state_dict = {k.replace('generator.', ''): v for k, v in torch.load(hift_model, map_location=self.device, weights_only=True).items()}
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self.hift.load_state_dict(hift_state_dict, strict=True)
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self.hift.to(self.device).eval()
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