mrq/tortoise-tts
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little sloppy hack to try and not load the same model when it was already loaded

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mrq 2023-08-11 04:02:36 +00:00
parent e2cd07d560
commit 9afa71542b
1 changed files with 12 additions and 7 deletions
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19
tortoise/api.py
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@ -337,13 +337,18 @@ class TextToSpeech:
self.loading = False
def load_autoregressive_model(self, autoregressive_model_path):
if hasattr(self,"autoregressive_model_path") and self.autoregressive_model_path == autoregressive_model_path:
if hasattr(self,"autoregressive_model_path") and os.path.samefile(self.autoregressive_model_path, autoregressive_model_path):
return
self.loading = True
self.autoregressive_model_path = autoregressive_model_path if autoregressive_model_path and os.path.exists(autoregressive_model_path) else get_model_path('autoregressive.pth', self.models_dir)
self.autoregressive_model_hash = hash_file(self.autoregressive_model_path)
new_hash = hash_file(self.autoregressive_model_path)
if hasattr(self,"autoregressive_model_hash") and self.autoregressive_model_hash == new_hash:
return
self.autoregressive_model_hash = new_hash
self.loading = True
print(f"Loading autoregressive model: {self.autoregressive_model_path}")
if hasattr(self, 'autoregressive'):
@ -362,7 +367,7 @@ class TextToSpeech:
print(f"Loaded autoregressive model")
def load_diffusion_model(self, diffusion_model_path):
if hasattr(self,"diffusion_model_path") and self.diffusion_model_path == diffusion_model_path:
if hasattr(self,"diffusion_model_path") and os.path.samefile(self.diffusion_model_path, diffusion_model_path):
return
self.loading = True
@ -384,7 +389,7 @@ class TextToSpeech:
print(f"Loaded diffusion model")
def load_vocoder_model(self, vocoder_model):
if hasattr(self,"vocoder_model_path") and self.vocoder_model_path == vocoder_model:
if hasattr(self,"vocoder_model_path") and os.path.samefile(self.vocoder_model_path, vocoder_model):
return
self.loading = True
@ -424,7 +429,7 @@ class TextToSpeech:
print(f"Loaded vocoder model")
def load_tokenizer_json(self, tokenizer_json):
if hasattr(self,"tokenizer_json") and self.tokenizer_json == tokenizer_json:
if hasattr(self,"tokenizer_json") and os.path.samefile(self.tokenizer_json, tokenizer_json):
return
self.loading = True