Update Retrieval_based_Voice_Conversion_WebUI_v2.ipynb
Browse files
Retrieval_based_Voice_Conversion_WebUI_v2.ipynb
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},
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"outputs": [],
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"source": [
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"#@title
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"!nvidia-smi"
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]
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},
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},
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"outputs": [],
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"source": [
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"#@title
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"!apt-get -y install build-essential python3-dev ffmpeg\n",
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"!pip3 install --upgrade setuptools wheel\n",
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"!pip3 install --upgrade pip\n",
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},
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"outputs": [],
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"source": [
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"#@title
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"\n",
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"!mkdir Retrieval-based-Voice-Conversion-WebUI\n",
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"%cd /content/Retrieval-based-Voice-Conversion-WebUI\n",
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},
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"outputs": [],
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"source": [
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"#@title
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"!git pull"
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]
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},
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},
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"outputs": [],
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"source": [
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"#@title
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"!apt -y install -qq aria2"
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]
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},
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},
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"outputs": [],
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"source": [
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"#@title
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"\n",
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"# v1\n",
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"!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/pretrained/D32k.pth -d /content/Retrieval-based-Voice-Conversion-WebUI/pretrained -o D32k.pth\n",
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},
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"outputs": [],
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"source": [
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"#@title
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"!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/uvr5_weights/HP2-人声vocals+非人声instrumentals.pth -d /content/Retrieval-based-Voice-Conversion-WebUI/uvr5_weights -o HP2-人声vocals+非人声instrumentals.pth\n",
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"!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/uvr5_weights/HP5-主旋律人声vocals+其他instrumentals.pth -d /content/Retrieval-based-Voice-Conversion-WebUI/uvr5_weights -o HP5-主旋律人声vocals+其他instrumentals.pth"
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]
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},
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"outputs": [],
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"source": [
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"#@title
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"!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/hubert_base.pt -d /content/Retrieval-based-Voice-Conversion-WebUI -o hubert_base.pt"
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]
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},
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},
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"outputs": [],
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"source": [
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"#@title
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"\n",
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"from google.colab import drive\n",
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"drive.mount('/content/drive')"
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},
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"outputs": [],
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"source": [
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"#@title
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"\n",
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"#@markdown
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"DATASET = \"/content/drive/MyDrive/dataset/lulu20230327_32k.zip\" #@param {type:\"string\"}\n",
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"\n",
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"!mkdir -p /content/dataset\n",
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},
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"outputs": [],
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"source": [
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"#@title
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"!ls -a /content/dataset/\n",
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"!rename 's/(\\w+)\\.(\\w+)~(\\d*)/$1_$3.$2/' /content/dataset/*.*~*"
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]
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},
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"outputs": [],
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"source": [
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"#@title
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"%cd /content/Retrieval-based-Voice-Conversion-WebUI\n",
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"# %load_ext tensorboard\n",
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"# %tensorboard --logdir /content/Retrieval-based-Voice-Conversion-WebUI/logs\n",
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},
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"outputs": [],
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"source": [
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-
"#@title
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"#@markdown 需要自己查看logs文件夹下模型的文件名,手动修改下方命令末尾的文件名\n",
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"\n",
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"#@markdown
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"MODELNAME = \"lulu\" #@param {type:\"string\"}\n",
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"#@markdown 模型epoch\n",
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"MODELEPOCH = 9600 #@param {type:\"integer\"}\n",
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},
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"outputs": [],
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"source": [
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"#@title
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"#@markdown
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"\n",
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"#@markdown
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"MODELNAME = \"lulu\" #@param {type:\"string\"}\n",
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"#@markdown
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"MODELEPOCH = 7500 #@param {type:\"integer\"}\n",
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"\n",
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"!mkdir -p /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}\n",
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},
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"outputs": [],
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"source": [
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"#@title
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"#@markdown
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"MODELNAME = \"lulu\" #@param {type:\"string\"}\n",
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"#@markdown
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"BITRATE = 48000 #@param {type:\"integer\"}\n",
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"#@markdown
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"THREADCOUNT = 8 #@param {type:\"integer\"}\n",
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"\n",
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"!python3 trainset_preprocess_pipeline_print.py /content/dataset {BITRATE} {THREADCOUNT} logs/{MODELNAME} True\n"
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},
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"outputs": [],
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"source": [
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-
"#@title
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"#@markdown
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"MODELNAME = \"lulu\" #@param {type:\"string\"}\n",
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"#@markdown
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"THREADCOUNT = 8 #@param {type:\"integer\"}\n",
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"#@markdown
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"ALGO = \"harvest\" #@param {type:\"string\"}\n",
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"\n",
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"!python3 extract_f0_print.py logs/{MODELNAME} {THREADCOUNT} {ALGO}\n",
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},
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"outputs": [],
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"source": [
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"#@title
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"#@markdown
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"MODELNAME = \"lulu\" #@param {type:\"string\"}\n",
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"#@markdown
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"USEGPU = \"0\" #@param {type:\"string\"}\n",
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"#@markdown
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"BATCHSIZE = 32 #@param {type:\"integer\"}\n",
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"#@markdown
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"MODELEPOCH = 3200 #@param {type:\"integer\"}\n",
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"#@markdown
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"EPOCHSAVE = 100 #@param {type:\"integer\"}\n",
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"#@markdown
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"MODELSAMPLE = \"48k\" #@param {type:\"string\"}\n",
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"#@markdown
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"CACHEDATA = 1 #@param {type:\"integer\"}\n",
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"#@markdown
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"ONLYLATEST = 0 #@param {type:\"integer\"}\n",
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"\n",
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"!python3 train_nsf_sim_cache_sid_load_pretrain.py -e lulu -sr {MODELSAMPLE} -f0 1 -bs {BATCHSIZE} -g {USEGPU} -te {MODELEPOCH} -se {EPOCHSAVE} -pg pretrained/f0G{MODELSAMPLE}.pth -pd pretrained/f0D{MODELSAMPLE}.pth -l {ONLYLATEST} -c {CACHEDATA}\n"
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},
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"outputs": [],
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"source": [
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-
"#@title
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"#@markdown
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"MODELNAME = \"lulu\" #@param {type:\"string\"}\n",
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"#@markdown
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"MODELEPOCH = 9600 #@param {type:\"integer\"}\n",
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"\n",
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"!echo \"
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"!cp /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/G_{MODELEPOCH}.pth /content/{MODELNAME}_D_{MODELEPOCH}.pth\n",
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"!cp /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/D_{MODELEPOCH}.pth /content/{MODELNAME}_G_{MODELEPOCH}.pth\n",
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"\n",
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"!echo \"
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"!ls /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}\n",
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"!rm /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/*.pth\n",
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"\n",
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"!echo \"
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"!mv /content/{MODELNAME}_D_{MODELEPOCH}.pth /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/G_{MODELEPOCH}.pth \n",
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"!mv /content/{MODELNAME}_G_{MODELEPOCH}.pth /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/D_{MODELEPOCH}.pth\n",
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"\n",
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"!echo \"
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"!ls /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}"
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]
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},
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},
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"outputs": [],
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"source": [
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-
"#@title
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-
"#@markdown
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"MODELNAME = \"lulu\" #@param {type:\"string\"}\n",
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"#@markdown 选中模型epoch\n",
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"MODELEPOCH = 9600 #@param {type:\"integer\"}\n",
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"\n",
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-
"!echo \"
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"!cp /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/G_{MODELEPOCH}.pth /content/{MODELNAME}_D_{MODELEPOCH}.pth\n",
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"!cp /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/D_{MODELEPOCH}.pth /content/{MODELNAME}_G_{MODELEPOCH}.pth\n",
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"\n",
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"!echo \"
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"!ls /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}\n",
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"!rm -rf /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/*\n",
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"\n",
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"!echo \"
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"!mv /content/{MODELNAME}_D_{MODELEPOCH}.pth /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/G_{MODELEPOCH}.pth \n",
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"!mv /content/{MODELNAME}_G_{MODELEPOCH}.pth /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/D_{MODELEPOCH}.pth\n",
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"\n",
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"!echo \"
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"!ls /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}"
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]
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}
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},
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"outputs": [],
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"source": [
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"#@title View graphics card\n",
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"!nvidia-smi"
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]
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},
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},
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"outputs": [],
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"source": [
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"#@title Install dependencies\n",
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"!apt-get -y install build-essential python3-dev ffmpeg\n",
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"!pip3 install --upgrade setuptools wheel\n",
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"!pip3 install --upgrade pip\n",
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},
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"outputs": [],
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"source": [
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+
"#@title Clone repository\n",
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"\n",
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"!mkdir Retrieval-based-Voice-Conversion-WebUI\n",
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"%cd /content/Retrieval-based-Voice-Conversion-WebUI\n",
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},
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"outputs": [],
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"source": [
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+
"#@title Update the warehouse (generally no need to execute)\n",
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"!git pull"
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]
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},
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},
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"outputs": [],
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"source": [
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+
"#@title Install aria2\n",
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"!apt -y install -qq aria2"
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]
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},
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},
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"outputs": [],
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"source": [
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+
"#@title Download the base model\n",
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"\n",
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"# v1\n",
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"!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/pretrained/D32k.pth -d /content/Retrieval-based-Voice-Conversion-WebUI/pretrained -o D32k.pth\n",
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},
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"outputs": [],
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"source": [
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+
"#@title Download the Vocal Separation Model\n",
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"!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/uvr5_weights/HP2-人声vocals+非人声instrumentals.pth -d /content/Retrieval-based-Voice-Conversion-WebUI/uvr5_weights -o HP2-人声vocals+非人声instrumentals.pth\n",
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"!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/uvr5_weights/HP5-主旋律人声vocals+其他instrumentals.pth -d /content/Retrieval-based-Voice-Conversion-WebUI/uvr5_weights -o HP5-主旋律人声vocals+其他instrumentals.pth"
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]
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},
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"outputs": [],
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"source": [
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+
"#@title Download hubert_base\n",
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"!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/hubert_base.pt -d /content/Retrieval-based-Voice-Conversion-WebUI -o hubert_base.pt"
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]
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},
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},
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"outputs": [],
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"source": [
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+
"#@title Mount Google Drive\n",
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"\n",
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"from google.colab import drive\n",
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"drive.mount('/content/drive')"
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},
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"outputs": [],
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"source": [
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+
"#@title Load the packaged dataset from Google Cloud Drive to /content/dataset\n",
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"\n",
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"#@markdown Data set location\n",
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"DATASET = \"/content/drive/MyDrive/dataset/lulu20230327_32k.zip\" #@param {type:\"string\"}\n",
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"\n",
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"!mkdir -p /content/dataset\n",
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},
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"outputs": [],
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"source": [
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+
"#@title Rename duplicate files in the dataset\n",
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"!ls -a /content/dataset/\n",
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"!rename 's/(\\w+)\\.(\\w+)~(\\d*)/$1_$3.$2/' /content/dataset/*.*~*"
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]
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},
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"outputs": [],
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"source": [
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+
"#@title start web\n",
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"%cd /content/Retrieval-based-Voice-Conversion-WebUI\n",
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"# %load_ext tensorboard\n",
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"# %tensorboard --logdir /content/Retrieval-based-Voice-Conversion-WebUI/logs\n",
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},
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"outputs": [],
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"source": [
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+
"#@title Manually back up the trained model files to Google Drive\n",
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"#@markdown 需要自己查看logs文件夹下模型的文件名,手动修改下方命令末尾的文件名\n",
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"\n",
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+
"#@markdown Model name\n",
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"MODELNAME = \"lulu\" #@param {type:\"string\"}\n",
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"#@markdown 模型epoch\n",
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"MODELEPOCH = 9600 #@param {type:\"integer\"}\n",
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},
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"outputs": [],
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"source": [
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+
"#@title Restore pth from Google Drive\n",
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+
"#@markdown You need to check the model file name in the logs folder yourself and manually modify the file name at the end of the command below\n",
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"\n",
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+
"#@markdown Model name\n",
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"MODELNAME = \"lulu\" #@param {type:\"string\"}\n",
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+
"#@markdown Model epoch\n",
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"MODELEPOCH = 7500 #@param {type:\"integer\"}\n",
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"\n",
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"!mkdir -p /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}\n",
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},
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"outputs": [],
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"source": [
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+
"#@title Manual preprocessing (not recommended)\n",
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+
"#@markdown Model name\n",
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"MODELNAME = \"lulu\" #@param {type:\"string\"}\n",
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+
"#@markdown Sampling rate\n",
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"BITRATE = 48000 #@param {type:\"integer\"}\n",
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+
"#@markdown Number of processes used\n",
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"THREADCOUNT = 8 #@param {type:\"integer\"}\n",
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"\n",
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"!python3 trainset_preprocess_pipeline_print.py /content/dataset {BITRATE} {THREADCOUNT} logs/{MODELNAME} True\n"
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},
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"outputs": [],
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"source": [
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+
"#@title Manual feature extraction (not recommended)\n",
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+
"#@markdown Model name\n",
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"MODELNAME = \"lulu\" #@param {type:\"string\"}\n",
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+
"#@markdown Number of processes used\n",
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"THREADCOUNT = 8 #@param {type:\"integer\"}\n",
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+
"#@markdown Pitch Extraction Algorithm\n",
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| 287 |
"ALGO = \"harvest\" #@param {type:\"string\"}\n",
|
| 288 |
"\n",
|
| 289 |
"!python3 extract_f0_print.py logs/{MODELNAME} {THREADCOUNT} {ALGO}\n",
|
|
|
|
| 299 |
},
|
| 300 |
"outputs": [],
|
| 301 |
"source": [
|
| 302 |
+
"#@title Manual training (not recommended)\n",
|
| 303 |
+
"#@markdown Model name\n",
|
| 304 |
"MODELNAME = \"lulu\" #@param {type:\"string\"}\n",
|
| 305 |
+
"#@markdown GPU used\n",
|
| 306 |
"USEGPU = \"0\" #@param {type:\"string\"}\n",
|
| 307 |
+
"#@markdown batch size\n",
|
| 308 |
"BATCHSIZE = 32 #@param {type:\"integer\"}\n",
|
| 309 |
+
"#@markdown Stopped epoch\n",
|
| 310 |
"MODELEPOCH = 3200 #@param {type:\"integer\"}\n",
|
| 311 |
+
"#@markdown Save epoch interval\n",
|
| 312 |
"EPOCHSAVE = 100 #@param {type:\"integer\"}\n",
|
| 313 |
+
"#@markdown Sampling rate\n",
|
| 314 |
"MODELSAMPLE = \"48k\" #@param {type:\"string\"}\n",
|
| 315 |
+
"#@markdown Whether to cache the training set\n",
|
| 316 |
"CACHEDATA = 1 #@param {type:\"integer\"}\n",
|
| 317 |
+
"#@markdown Whether to save only the latest ckpt file\n",
|
| 318 |
"ONLYLATEST = 0 #@param {type:\"integer\"}\n",
|
| 319 |
"\n",
|
| 320 |
"!python3 train_nsf_sim_cache_sid_load_pretrain.py -e lulu -sr {MODELSAMPLE} -f0 1 -bs {BATCHSIZE} -g {USEGPU} -te {MODELEPOCH} -se {EPOCHSAVE} -pg pretrained/f0G{MODELSAMPLE}.pth -pd pretrained/f0D{MODELSAMPLE}.pth -l {ONLYLATEST} -c {CACHEDATA}\n"
|
|
|
|
| 328 |
},
|
| 329 |
"outputs": [],
|
| 330 |
"source": [
|
| 331 |
+
"#@title Delete other pths and keep only the selected ones (be careful and read the code carefully)\n",
|
| 332 |
+
"#@markdown Model name\n",
|
| 333 |
"MODELNAME = \"lulu\" #@param {type:\"string\"}\n",
|
| 334 |
+
"#@markdown Select model epoch\n",
|
| 335 |
"MODELEPOCH = 9600 #@param {type:\"integer\"}\n",
|
| 336 |
"\n",
|
| 337 |
+
"!echo \"Back up the selected model...\"\n",
|
| 338 |
"!cp /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/G_{MODELEPOCH}.pth /content/{MODELNAME}_D_{MODELEPOCH}.pth\n",
|
| 339 |
"!cp /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/D_{MODELEPOCH}.pth /content/{MODELNAME}_G_{MODELEPOCH}.pth\n",
|
| 340 |
"\n",
|
| 341 |
+
"!echo \"Deleting...\"\n",
|
| 342 |
"!ls /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}\n",
|
| 343 |
"!rm /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/*.pth\n",
|
| 344 |
"\n",
|
| 345 |
+
"!echo \"Restore the selected model...\"\n",
|
| 346 |
"!mv /content/{MODELNAME}_D_{MODELEPOCH}.pth /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/G_{MODELEPOCH}.pth \n",
|
| 347 |
"!mv /content/{MODELNAME}_G_{MODELEPOCH}.pth /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/D_{MODELEPOCH}.pth\n",
|
| 348 |
"\n",
|
| 349 |
+
"!echo \"Deletion completed\"\n",
|
| 350 |
"!ls /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}"
|
| 351 |
]
|
| 352 |
},
|
|
|
|
| 358 |
},
|
| 359 |
"outputs": [],
|
| 360 |
"source": [
|
| 361 |
+
"#@title Clear all files under the project and leave only the selected model (be careful and read the code carefully)\n",
|
| 362 |
+
"#@markdown Model name\n",
|
| 363 |
"MODELNAME = \"lulu\" #@param {type:\"string\"}\n",
|
| 364 |
"#@markdown 选中模型epoch\n",
|
| 365 |
"MODELEPOCH = 9600 #@param {type:\"integer\"}\n",
|
| 366 |
"\n",
|
| 367 |
+
"!echo \"Back up the selected model...\"\n",
|
| 368 |
"!cp /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/G_{MODELEPOCH}.pth /content/{MODELNAME}_D_{MODELEPOCH}.pth\n",
|
| 369 |
"!cp /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/D_{MODELEPOCH}.pth /content/{MODELNAME}_G_{MODELEPOCH}.pth\n",
|
| 370 |
"\n",
|
| 371 |
+
"!echo \"Deleting...\"\n",
|
| 372 |
"!ls /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}\n",
|
| 373 |
"!rm -rf /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/*\n",
|
| 374 |
"\n",
|
| 375 |
+
"!echo \"Restore the selected model...\"\n",
|
| 376 |
"!mv /content/{MODELNAME}_D_{MODELEPOCH}.pth /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/G_{MODELEPOCH}.pth \n",
|
| 377 |
"!mv /content/{MODELNAME}_G_{MODELEPOCH}.pth /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/D_{MODELEPOCH}.pth\n",
|
| 378 |
"\n",
|
| 379 |
+
"!echo \"Deletion completed\"\n",
|
| 380 |
"!ls /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}"
|
| 381 |
]
|
| 382 |
}
|