mirror of
https://github.com/w-okada/voice-changer.git
synced 2025-02-03 08:43:57 +03:00
53 lines
1.9 KiB
Python
53 lines
1.9 KiB
Python
|
import os
|
||
|
|
import traceback
|
||
|
|
from Exceptions import PipelineCreateException
|
||
|
|
from const import EnumInferenceTypes, PitchExtractorType
|
||
|
|
from data.ModelSlot import EasyVCModelSlot
|
||
|
|
from voice_changer.EasyVC.pipeline.Pipeline import Pipeline
|
||
|
|
|
||
|
|
from voice_changer.RVC.deviceManager.DeviceManager import DeviceManager
|
||
|
|
from voice_changer.RVC.embedder.EmbedderManager import EmbedderManager
|
||
|
|
from voice_changer.RVC.inferencer.InferencerManager import InferencerManager
|
||
|
|
from voice_changer.RVC.pitchExtractor.PitchExtractorManager import PitchExtractorManager
|
||
|
|
from voice_changer.utils.VoiceChangerParams import VoiceChangerParams
|
||
|
|
|
||
|
|
|
||
|
|
def createPipeline(params: VoiceChangerParams, modelSlot: EasyVCModelSlot, gpu: int, f0Detector: PitchExtractorType):
|
||
|
|
dev = DeviceManager.get_instance().getDevice(gpu)
|
||
|
|
half = DeviceManager.get_instance().halfPrecisionAvailable(gpu)
|
||
|
|
|
||
|
|
# Inferencer 生成
|
||
|
|
try:
|
||
|
|
modelPath = os.path.join(params.model_dir, str(modelSlot.slotIndex), os.path.basename(modelSlot.modelFile))
|
||
|
|
inferencer = InferencerManager.getInferencer(EnumInferenceTypes.easyVC, modelPath, gpu, modelSlot.version)
|
||
|
|
except Exception as e:
|
||
|
|
print("[Voice Changer] exception! loading inferencer", e)
|
||
|
|
traceback.print_exc()
|
||
|
|
raise PipelineCreateException("[Voice Changer] exception! loading inferencer")
|
||
|
|
|
||
|
|
# Embedder 生成
|
||
|
|
try:
|
||
|
|
embedder = EmbedderManager.getEmbedder(
|
||
|
|
"whisper",
|
||
|
|
half,
|
||
|
|
dev,
|
||
|
|
)
|
||
|
|
except Exception as e:
|
||
|
|
print("[Voice Changer] exception! loading embedder", e, dev)
|
||
|
|
traceback.print_exc()
|
||
|
|
raise PipelineCreateException("[Voice Changer] exception! loading embedder")
|
||
|
|
|
||
|
|
# pitchExtractor
|
||
|
|
pitchExtractor = PitchExtractorManager.getPitchExtractor(f0Detector, gpu)
|
||
|
|
|
||
|
|
pipeline = Pipeline(
|
||
|
|
embedder,
|
||
|
|
inferencer,
|
||
|
|
pitchExtractor,
|
||
|
|
modelSlot.samplingRate,
|
||
|
|
dev,
|
||
|
|
half,
|
||
|
|
)
|
||
|
|
|
||
|
|
return pipeline
|