Add a warning when a pickle file is loaded

This commit is contained in:
Ilyas Hilali committed 2025-01-05 12:13:07 +01:00
1 parent e72a7bf5c9
commit 0182e8fd01
1 file changed
+21 -10
+21 -10
View File
@@ -400,22 +400,22 @@ class tts_class:
if model_dir.is_dir():
# First try to find model_*.safetensors files
model_files = list(model_dir.glob("model_*.safetensors"))
if not model_files:
# Try finding the pt model file as fallback
# If no model_*.safetensors found, try finding a .pt model file
model_files = list(model_dir.glob("model_*.pt"))
if not model_files:
# If no model_*.safetensors found, try any .safetensors file
model_files = list(model_dir.glob("*.safetensors"))
if not model_files:
# Try finding a pt model file as fallback
# If no model_*.safetensors found, try finding a .pt model file
model_files = list(model_dir.glob("model_*.pt"))
if not model_files:
# If no model_*.safetensors found, try any .pt file
model_files = list(model_dir.glob("*.pt"))
vocab_file = model_dir / "vocab.txt"
vocos_dir = model_dir / "vocos"
vocos_config = vocos_dir / "config.yaml"
vocos_model = vocos_dir / "pytorch_model.bin"
# Check if we have at least one model file and all other required files
if model_files and all(f.exists() for f in [vocab_file, vocos_config, vocos_model]):
model_name = model_dir.name
@@ -513,17 +513,28 @@ class tts_class:
vocab_path = model_dir / "vocab.txt"
vocos_path = model_dir / "vocos"
# Dynamically find the safetensors model file
# Dynamically find the safetensors or pickletensor model file
model_is_pickle = False
model_files = list(model_dir.glob("model_*.safetensors"))
if not model_files:
# Try finding the pt model file as fallback
model_files = list(model_dir.glob("model_*.pt"))
if not model_files:
# Try finding any safetensors file as fallback
model_files = list(model_dir.glob("*.safetensors"))
if not model_files:
# Try finding the pt model file as fallback
model_files = list(model_dir.glob("model_*.pt"))
model_is_pickle = True
if not model_files:
# Try finding any pt file as fallback
model_files = list(model_dir.glob("*.pt"))
model_is_pickle = True
if model_is_pickle:
print(
f"[{self.branding}ENG] \033[91mWarning\033[0m: The models found in '{model_dir}' are in Pickle format (.pt). "
f"This format poses security risks due to potential arbitrary code execution. "
f"Please ensure the source of the models is trusted. We recommend using 'safetensors' format for enhanced security. "
f"For more information, visit: https://huggingface.co/docs/hub/en/security-pickle"
)
if not model_files:
print(f"[{self.branding}ENG] \033[91mError\033[0m: No model's safetensors file was found in the F5-TTS models directory.")