Always download model.pth tts every time software loads

[emourdavid]

Hi jianchang512,

Thank you for hard work. I dont know why software always downloads tts models when it is loading. I checked it deleted model.pth in tts\tts_models--multilingual--multi-dataset--xtts_v2 and download again so this will take time to download 1.87GB every time it runs

Do you how to stop this download? Thank you.

[jianchang512]

Sure you downloaded it in full?

Screenshot List of model folders in the tts directory

[emourdavid]

I can show you the screenshot when start software and screenshot when I close software. When software starts, it will automatic delete file model.pth 1.8GB and set to 0 zero byte

[jianchang512]

Are you using a VPN network? It seems to be a bad network with incomplete downloads

[emourdavid]

I downloaded file zip 1.8GB and unzip to that folder but this still happens when ever software launchs. So I want to ask how to edit code to stop downloading model.pth

[jianchang512]

lost speakers_xtts.pth

[jianchang512]

\venv\Lib\site-packages\TTS\utils\manage.py , 389 line

del

if md5sum is not None:
	md5sum_file = os.path.join(output_path, "hash.md5")
	if os.path.isfile(md5sum_file):
	    with open(md5sum_file, mode="r") as f:
		if not f.read() == md5sum:
		    print(f" > {model_name} has been updated, clearing model cache...")
		    self.create_dir_and_download_model(model_name, model_item, output_path)
		else:
		    print(f" > {model_name} is already downloaded.")
	else:
	    print(f" > {model_name} has been updated, clearing model cache...")
	    self.create_dir_and_download_model(model_name, model_item, output_path)

[Evans-algorithm]

\venv\Lib\site-packages\TTS\utils\manage.py , 389 line

del

if md5sum is not None:
	md5sum_file = os.path.join(output_path, "hash.md5")
	if os.path.isfile(md5sum_file):
	    with open(md5sum_file, mode="r") as f:
		if not f.read() == md5sum:
		    print(f" > {model_name} has been updated, clearing model cache...")
		    self.create_dir_and_download_model(model_name, model_item, output_path)
		else:
		    print(f" > {model_name} is already downloaded.")
	else:
	    print(f" > {model_name} has been updated, clearing model cache...")
	    self.create_dir_and_download_model(model_name, model_item, output_path)

Adding "md5sum = None", also solve the problem, like this: