lightmare/ai-voice-cloning
1
0
Fork 0
forked from mrq/ai-voice-cloning
Code Issues Pull Requests Packages Projects Releases Wiki Activity

Fixed model setting not getting updated when TTS is unloaded, for when you change it and then load TTS (sorry for that brain worm)

Browse Source
This commit is contained in:
mrq 2023-02-19 16:24:06 +00:00
parent 092dd7b2d7
commit 4f79b3724b
1 changed files with 5 additions and 3 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

8
src/utils.py
View File

@ -838,6 +838,10 @@ def update_whisper_model(name):
whisper_model = whisper.load_model(args.whisper_model) whisper_model = whisper.load_model(args.whisper_model)
def update_autoregressive_model(path_name): def update_autoregressive_model(path_name):
args.autoregressive_model = path_name
save_args_settings()
print(f'Stored autoregressive model to settings: {path_name}')
global tts global tts
if not tts: if not tts:
raise Exception("TTS is uninitialized or still initializing...") raise Exception("TTS is uninitialized or still initializing...")
@ -847,6 +851,7 @@ def update_autoregressive_model(path_name):
if hasattr(tts, 'load_autoregressive_model') and tts.load_autoregressive_model(path_name): if hasattr(tts, 'load_autoregressive_model') and tts.load_autoregressive_model(path_name):
tts.load_autoregressive_model(path_name) tts.load_autoregressive_model(path_name)
# polyfill in case a user did NOT update the packages # polyfill in case a user did NOT update the packages
# this shouldn't happen anymore, as I just clone mrq/tortoise-tts, and inject it into sys.path
else: else:
from tortoise.models.autoregressive import UnifiedVoice from tortoise.models.autoregressive import UnifiedVoice
@ -864,9 +869,6 @@ def update_autoregressive_model(path_name):
print(f"Loaded model: {tts.autoregressive_model_path}") print(f"Loaded model: {tts.autoregressive_model_path}")
args.autoregressive_model = path_name
save_args_settings()
return path_name return path_name
def update_args( listen, share, check_for_updates, models_from_local_only, low_vram, embed_output_metadata, latents_lean_and_mean, voice_fixer, voice_fixer_use_cuda, force_cpu_for_conditioning_latents, defer_tts_load, device_override, sample_batch_size, concurrency_count, output_sample_rate, output_volume ): def update_args( listen, share, check_for_updates, models_from_local_only, low_vram, embed_output_metadata, latents_lean_and_mean, voice_fixer, voice_fixer_use_cuda, force_cpu_for_conditioning_latents, defer_tts_load, device_override, sample_batch_size, concurrency_count, output_sample_rate, output_volume ):