fumiama/Retrieval-based-Voice-Conversion-WebUI
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optimize(all): tidy project structure

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源文雨
2024-06-05 19:15:53 +09:00
parent b3f17bf60a
commit 50d46982d2
35 changed files with 79 additions and 1572 deletions
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362
tools/dlmodels.bat
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@@ -1,362 +0,0 @@
@echo off && chcp 65001
echo working dir is %cd%
echo downloading requirement aria2 check.
echo=
dir /a:d/b | findstr "aria2" > flag.txt
findstr "aria2" flag.txt >nul
if %errorlevel% ==0 (
echo aria2 checked.
echo=
) else (
echo failed. please downloading aria2 from webpage!
echo unzip it and put in this directory!
timeout /T 5
start https://github.com/aria2/aria2/releases/tag/release-1.36.0
echo=
goto end
)
echo envfiles checking start.
echo=
for /f %%x in ('findstr /i /c:"aria2" "flag.txt"') do (set aria2=%%x)&goto endSch
:endSch
set d32=f0D32k.pth
set d40=f0D40k.pth
set d48=f0D48k.pth
set g32=f0G32k.pth
set g40=f0G40k.pth
set g48=f0G48k.pth
set d40v2=f0D40k.pth
set g40v2=f0G40k.pth
set dld32=https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/pretrained/f0D32k.pth
set dld40=https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/pretrained/f0D40k.pth
set dld48=https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/pretrained/f0D48k.pth
set dlg32=https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/pretrained/f0G32k.pth
set dlg40=https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/pretrained/f0G40k.pth
set dlg48=https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/pretrained/f0G48k.pth
set dld40v2=https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/pretrained_v2/f0D40k.pth
set dlg40v2=https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/pretrained_v2/f0G40k.pth
set hp2_all=HP2_all_vocals.pth
set hp3_all=HP3_all_vocals.pth
set hp5_only=HP5_only_main_vocal.pth
set VR_DeEchoAggressive=VR-DeEchoAggressive.pth
set VR_DeEchoDeReverb=VR-DeEchoDeReverb.pth
set VR_DeEchoNormal=VR-DeEchoNormal.pth
set onnx_dereverb=vocals.onnx
set dlhp2_all=https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/uvr5_weights/HP2_all_vocals.pth
set dlhp3_all=https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/uvr5_weights/HP3_all_vocals.pth
set dlhp5_only=https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/uvr5_weights/HP5_only_main_vocal.pth
set dlVR_DeEchoAggressive=https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/uvr5_weights/VR-DeEchoAggressive.pth
set dlVR_DeEchoDeReverb=https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/uvr5_weights/VR-DeEchoDeReverb.pth
set dlVR_DeEchoNormal=https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/uvr5_weights/VR-DeEchoNormal.pth
set dlonnx_dereverb=https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/uvr5_weights/onnx_dereverb_By_FoxJoy/vocals.onnx
set hb=hubert_base.pt
set dlhb=https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/hubert_base.pt
set rmvpe=rmvpe.pt
set dlrmvpe=https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/rmvpe.pt
echo dir check start.
echo=
if exist "%~dp0assets\pretrained" (
echo dir .\assets\pretrained checked.
) else (
echo failed. generating dir .\assets\pretrained.
mkdir pretrained
)
if exist "%~dp0assets\pretrained_v2" (
echo dir .\assets\pretrained_v2 checked.
) else (
echo failed. generating dir .\assets\pretrained_v2.
mkdir pretrained_v2
)
if exist "%~dp0assets\uvr5_weights" (
echo dir .\assets\uvr5_weights checked.
) else (
echo failed. generating dir .\assets\uvr5_weights.
mkdir uvr5_weights
)
if exist "%~dp0assets\uvr5_weights\onnx_dereverb_By_FoxJoy" (
echo dir .\assets\uvr5_weights\onnx_dereverb_By_FoxJoy checked.
) else (
echo failed. generating dir .\assets\uvr5_weights\onnx_dereverb_By_FoxJoy.
mkdir uvr5_weights\onnx_dereverb_By_FoxJoy
)
echo=
echo dir check finished.
echo=
echo required files check start.
echo checking D32k.pth
if exist "%~dp0assets\pretrained\D32k.pth" (
echo D32k.pth in .\assets\pretrained checked.
echo=
) else (
echo failed. starting download from huggingface.
%~dp0%aria2%\aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/pretrained/D32k.pth -d %~dp0assets\pretrained -o D32k.pth
if exist "%~dp0assets\pretrained\D32k.pth" (echo download successful.) else (echo please try again!
echo=)
)
echo checking D40k.pth
if exist "%~dp0assets\pretrained\D40k.pth" (
echo D40k.pth in .\assets\pretrained checked.
echo=
) else (
echo failed. starting download from huggingface.
%~dp0%aria2%\aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/pretrained/D40k.pth -d %~dp0assets\pretrained -o D40k.pth
if exist "%~dp0assets\pretrained\D40k.pth" (echo download successful.) else (echo please try again!
echo=)
)
echo checking D40k.pth
if exist "%~dp0assets\pretrained_v2\D40k.pth" (
echo D40k.pth in .\assets\pretrained_v2 checked.
echo=
) else (
echo failed. starting download from huggingface.
%~dp0%aria2%\aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/pretrained_v2/D40k.pth -d %~dp0assets\pretrained_v2 -o D40k.pth
if exist "%~dp0assets\pretrained_v2\D40k.pth" (echo download successful.) else (echo please try again!
echo=)
)
echo checking D48k.pth
if exist "%~dp0assets\pretrained\D48k.pth" (
echo D48k.pth in .\assets\pretrained checked.
echo=
) else (
echo failed. starting download from huggingface.
%~dp0%aria2%\aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/pretrained/D48k.pth -d %~dp0assets\pretrained -o D48k.pth
if exist "%~dp0assets\pretrained\D48k.pth" (echo download successful.) else (echo please try again!
echo=)
)
echo checking G32k.pth
if exist "%~dp0assets\pretrained\G32k.pth" (
echo G32k.pth in .\assets\pretrained checked.
echo=
) else (
echo failed. starting download from huggingface.
%~dp0%aria2%\aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/pretrained/G32k.pth -d %~dp0assets\pretrained -o G32k.pth
if exist "%~dp0assets\pretrained\G32k.pth" (echo download successful.) else (echo please try again!
echo=)
)
echo checking G40k.pth
if exist "%~dp0assets\pretrained\G40k.pth" (
echo G40k.pth in .\assets\pretrained checked.
echo=
) else (
echo failed. starting download from huggingface.
%~dp0%aria2%\aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/pretrained/G40k.pth -d %~dp0assets\pretrained -o G40k.pth
if exist "%~dp0assets\pretrained\G40k.pth" (echo download successful.) else (echo please try again!
echo=)
)
echo checking G40k.pth
if exist "%~dp0assets\pretrained_v2\G40k.pth" (
echo G40k.pth in .\assets\pretrained_v2 checked.
echo=
) else (
echo failed. starting download from huggingface.
%~dp0%aria2%\aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/pretrained_v2/G40k.pth -d %~dp0assets\pretrained_v2 -o G40k.pth
if exist "%~dp0assets\pretrained_v2\G40k.pth" (echo download successful.) else (echo please try again!
echo=)
)
echo checking G48k.pth
if exist "%~dp0assets\pretrained\G48k.pth" (
echo G48k.pth in .\assets\pretrained checked.
echo=
) else (
echo failed. starting download from huggingface.
%~dp0%aria2%\aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/pretrained/G48k.pth -d %~dp0assets\pretrained -o G48k.pth
if exist "%~dp0assets\pretrained\G48k.pth" (echo download successful.) else (echo please try again!
echo=)
)
echo checking %d32%
if exist "%~dp0assets\pretrained\%d32%" (
echo %d32% in .\assets\pretrained checked.
echo=
) else (
echo failed. starting download from huggingface.
%~dp0%aria2%\aria2c --console-log-level=error -c -x 16 -s 16 -k 1M %dld32% -d %~dp0assets\pretrained -o %d32%
if exist "%~dp0assets\pretrained\%d32%" (echo download successful.) else (echo please try again!
echo=)
)
echo checking %d40%
if exist "%~dp0assets\pretrained\%d40%" (
echo %d40% in .\assets\pretrained checked.
echo=
) else (
echo failed. starting download from huggingface.
%~dp0%aria2%\aria2c --console-log-level=error -c -x 16 -s 16 -k 1M %dld40% -d %~dp0assets\pretrained -o %d40%
if exist "%~dp0assets\pretrained\%d40%" (echo download successful.) else (echo please try again!
echo=)
)
echo checking %d40v2%
if exist "%~dp0assets\pretrained_v2\%d40v2%" (
echo %d40v2% in .\assets\pretrained_v2 checked.
echo=
) else (
echo failed. starting download from huggingface.
%~dp0%aria2%\aria2c --console-log-level=error -c -x 16 -s 16 -k 1M %dld40v2% -d %~dp0assets\pretrained_v2 -o %d40v2%
if exist "%~dp0assets\pretrained_v2\%d40v2%" (echo download successful.) else (echo please try again!
echo=)
)
echo checking %d48%
if exist "%~dp0assets\pretrained\%d48%" (
echo %d48% in .\assets\pretrained checked.
echo=
) else (
echo failed. starting download from huggingface.
%~dp0%aria2%\aria2c --console-log-level=error -c -x 16 -s 16 -k 1M %dld48% -d %~dp0assets\pretrained -o %d48%
if exist "%~dp0assets\pretrained\%d48%" (echo download successful.) else (echo please try again!
echo=)
)
echo checking %g32%
if exist "%~dp0assets\pretrained\%g32%" (
echo %g32% in .\assets\pretrained checked.
echo=
) else (
echo failed. starting download from huggingface.
%~dp0%aria2%\aria2c --console-log-level=error -c -x 16 -s 16 -k 1M %dlg32% -d %~dp0assets\pretrained -o %g32%
if exist "%~dp0assets\pretrained\%g32%" (echo download successful.) else (echo please try again!
echo=)
)
echo checking %g40%
if exist "%~dp0assets\pretrained\%g40%" (
echo %g40% in .\assets\pretrained checked.
echo=
) else (
echo failed. starting download from huggingface.
%~dp0%aria2%\aria2c --console-log-level=error -c -x 16 -s 16 -k 1M %dlg40% -d %~dp0assets\pretrained -o %g40%
if exist "%~dp0assets\pretrained\%g40%" (echo download successful.) else (echo please try again!
echo=)
)
echo checking %g40v2%
if exist "%~dp0assets\pretrained_v2\%g40v2%" (
echo %g40v2% in .\assets\pretrained_v2 checked.
echo=
) else (
echo failed. starting download from huggingface.
%~dp0%aria2%\aria2c --console-log-level=error -c -x 16 -s 16 -k 1M %dlg40v2% -d %~dp0assets\pretrained_v2 -o %g40v2%
if exist "%~dp0assets\pretrained_v2\%g40v2%" (echo download successful.) else (echo please try again!
echo=)
)
echo checking %g48%
if exist "%~dp0assets\pretrained\%g48%" (
echo %g48% in .\assets\pretrained checked.
echo=
) else (
echo failed. starting download from huggingface.
%~dp0%aria2%\aria2c --console-log-level=error -c -x 16 -s 16 -k 1M %dlg48% -d %~dp0assets\pretrained -o %g48%
if exist "%~dp0assets\pretrained\%g48%" (echo download successful.) else (echo please try again!
echo=)
)
echo checking %hp2_all%
if exist "%~dp0assets\uvr5_weights\%hp2_all%" (
echo %hp2_all% in .\assets\uvr5_weights checked.
echo=
) else (
echo failed. starting download from huggingface.
%~dp0%aria2%\aria2c --console-log-level=error -c -x 16 -s 16 -k 1M %dlhp2_all% -d %~dp0assets\uvr5_weights -o %hp2_all%
if exist "%~dp0assets\uvr5_weights\%hp2_all%" (echo download successful.) else (echo please try again!
echo=)
)
echo checking %hp3_all%
if exist "%~dp0assets\uvr5_weights\%hp3_all%" (
echo %hp3_all% in .\assets\uvr5_weights checked.
echo=
) else (
echo failed. starting download from huggingface.
%~dp0%aria2%\aria2c --console-log-level=error -c -x 16 -s 16 -k 1M %dlhp3_all% -d %~dp0assets\uvr5_weights -o %hp3_all%
if exist "%~dp0assets\uvr5_weights\%hp3_all%" (echo download successful.) else (echo please try again!
echo=)
)
echo checking %hp5_only%
if exist "%~dp0assets\uvr5_weights\%hp5_only%" (
echo %hp5_only% in .\assets\uvr5_weights checked.
echo=
) else (
echo failed. starting download from huggingface.
%~dp0%aria2%\aria2c --console-log-level=error -c -x 16 -s 16 -k 1M %dlhp5_only% -d %~dp0assets\uvr5_weights -o %hp5_only%
if exist "%~dp0assets\uvr5_weights\%hp5_only%" (echo download successful.) else (echo please try again!
echo=)
)
echo checking %VR_DeEchoAggressive%
if exist "%~dp0assets\uvr5_weights\%VR_DeEchoAggressive%" (
echo %VR_DeEchoAggressive% in .\assets\uvr5_weights checked.
echo=
) else (
echo failed. starting download from huggingface.
%~dp0%aria2%\aria2c --console-log-level=error -c -x 16 -s 16 -k 1M %dlVR_DeEchoAggressive% -d %~dp0assets\uvr5_weights -o %VR_DeEchoAggressive%
if exist "%~dp0assets\uvr5_weights\%VR_DeEchoAggressive%" (echo download successful.) else (echo please try again!
echo=)
)
echo checking %VR_DeEchoDeReverb%
if exist "%~dp0assets\uvr5_weights\%VR_DeEchoDeReverb%" (
echo %VR_DeEchoDeReverb% in .\assets\uvr5_weights checked.
echo=
) else (
echo failed. starting download from huggingface.
%~dp0%aria2%\aria2c --console-log-level=error -c -x 16 -s 16 -k 1M %dlVR_DeEchoDeReverb% -d %~dp0assets\uvr5_weights -o %VR_DeEchoDeReverb%
if exist "%~dp0assets\uvr5_weights\%VR_DeEchoDeReverb%" (echo download successful.) else (echo please try again!
echo=)
)
echo checking %VR_DeEchoNormal%
if exist "%~dp0assets\uvr5_weights\%VR_DeEchoNormal%" (
echo %VR_DeEchoNormal% in .\assets\uvr5_weights checked.
echo=
) else (
echo failed. starting download from huggingface.
%~dp0%aria2%\aria2c --console-log-level=error -c -x 16 -s 16 -k 1M %dlVR_DeEchoNormal% -d %~dp0assets\uvr5_weights -o %VR_DeEchoNormal%
if exist "%~dp0assets\uvr5_weights\%VR_DeEchoNormal%" (echo download successful.) else (echo please try again!
echo=)
)
echo checking %onnx_dereverb%
if exist "%~dp0assets\uvr5_weights\onnx_dereverb_By_FoxJoy\%onnx_dereverb%" (
echo %onnx_dereverb% in .\assets\uvr5_weights\onnx_dereverb_By_FoxJoy checked.
echo=
) else (
echo failed. starting download from huggingface.
%~dp0%aria2%\aria2c --console-log-level=error -c -x 16 -s 16 -k 1M %dlonnx_dereverb% -d %~dp0assets\uvr5_weights\onnx_dereverb_By_FoxJoy -o %onnx_dereverb%
if exist "%~dp0assets\uvr5_weights\onnx_dereverb_By_FoxJoy\%onnx_dereverb%" (echo download successful.) else (echo please try again!
echo=)
)
echo checking %hb%
if exist "%~dp0assets\hubert\%hb%" (
echo %hb% in .\assets\hubert checked.
echo=
) else (
echo failed. starting download from huggingface.
%~dp0%aria2%\aria2c --console-log-level=error -c -x 16 -s 16 -k 1M %dlhb% -d %~dp0assets\hubert\ -o %hb%
if exist "%~dp0assets\hubert\%hb%" (echo download successful.) else (echo please try again!
echo=)
)
echo checking %rmvpe%
if exist "%~dp0assets\rmvpe\%rmvpe%" (
echo %rmvpe% in .\assets\rmvpe checked.
echo=
) else (
echo failed. starting download from huggingface.
%~dp0%aria2%\aria2c --console-log-level=error -c -x 16 -s 16 -k 1M %dlrmvpe% -d %~dp0assets\rmvpe\ -o %rmvpe%
if exist "%~dp0assets\rmvpe\%rmvpe%" (echo download successful.) else (echo please try again!
echo=)
)
echo required files check finished.
echo envfiles check complete.
pause
:end
del flag.txt

81
tools/dlmodels.sh
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@@ -1,81 +0,0 @@
#!/bin/sh
printf "working dir is %s\n" "$PWD"
echo "downloading requirement aria2 check."
if command -v aria2c > /dev/null 2>&1
then
echo "aria2 command found"
else
echo "failed. please install aria2"
exit 1
fi
echo "dir check start."
check_dir() {
[ -d "$1" ] && printf "dir %s checked\n" "$1" || \
printf "failed. generating dir %s\n" "$1" && mkdir -p "$1"
}
check_dir "./assets/pretrained"
check_dir "./assets/pretrained_v2"
check_dir "./assets/uvr5_weights"
check_dir "./assets/uvr5_weights/onnx_dereverb_By_FoxJoy"
echo "dir check finished."
echo "required files check start."
check_file_pretrained() {
printf "checking %s\n" "$2"
if [ -f "./assets/""$1""/""$2""" ]; then
printf "%s in ./assets/%s checked.\n" "$2" "$1"
else
echo failed. starting download from huggingface.
if command -v aria2c > /dev/null 2>&1; then
aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/"$1"/"$2" -d ./assets/"$1" -o "$2"
[ -f "./assets/""$1""/""$2""" ] && echo "download successful." || (echo "please try again!" && exit 1)
else
echo "aria2c command not found. Please install aria2c and try again."
exit 1
fi
fi
}
check_file_special() {
printf "checking %s\n" "$2"
if [ -f "./assets/""$1""/""$2""" ]; then
printf "%s in ./assets/%s checked.\n" "$2" "$1"
else
echo failed. starting download from huggingface.
if command -v aria2c > /dev/null 2>&1; then
aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/"$2" -d ./assets/"$1" -o "$2"
[ -f "./assets/""$1""/""$2""" ] && echo "download successful." || (echo "please try again!" && exit 1)
else
echo "aria2c command not found. Please install aria2c and try again."
exit 1
fi
fi
}
check_file_pretrained pretrained D32k.pth
check_file_pretrained pretrained D40k.pth
check_file_pretrained pretrained D48k.pth
check_file_pretrained pretrained G32k.pth
check_file_pretrained pretrained G40k.pth
check_file_pretrained pretrained G48k.pth
check_file_pretrained pretrained_v2 f0D40k.pth
check_file_pretrained pretrained_v2 f0G40k.pth
check_file_pretrained pretrained_v2 D40k.pth
check_file_pretrained pretrained_v2 G40k.pth
check_file_pretrained uvr5_weights HP2_all_vocals.pth
check_file_pretrained uvr5_weights HP3_all_vocals.pth
check_file_pretrained uvr5_weights HP5_only_main_vocal.pth
check_file_pretrained uvr5_weights VR-DeEchoAggressive.pth
check_file_pretrained uvr5_weights VR-DeEchoDeReverb.pth
check_file_pretrained uvr5_weights VR-DeEchoNormal.pth
check_file_pretrained uvr5_weights "onnx_dereverb_By_FoxJoy/vocals.onnx"
check_file_special rmvpe rmvpe.pt
check_file_special hubert hubert_base.pt
echo "required files check finished."

79
tools/download_models.py
View File

@@ -1,79 +0,0 @@
import os
from pathlib import Path
import requests
RVC_DOWNLOAD_LINK = "https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/"
BASE_DIR = Path(__file__).resolve().parent.parent
def dl_model(link, model_name, dir_name):
with requests.get(f"{link}{model_name}") as r:
r.raise_for_status()
os.makedirs(os.path.dirname(dir_name / model_name), exist_ok=True)
with open(dir_name / model_name, "wb") as f:
for chunk in r.iter_content(chunk_size=8192):
f.write(chunk)
if __name__ == "__main__":
print("Downloading hubert_base.pt...")
dl_model(RVC_DOWNLOAD_LINK, "hubert_base.pt", BASE_DIR / "assets/hubert")
print("Downloading rmvpe.pt...")
dl_model(RVC_DOWNLOAD_LINK, "rmvpe.pt", BASE_DIR / "assets/rmvpe")
print("Downloading vocals.onnx...")
dl_model(
RVC_DOWNLOAD_LINK + "uvr5_weights/onnx_dereverb_By_FoxJoy/",
"vocals.onnx",
BASE_DIR / "assets/uvr5_weights/onnx_dereverb_By_FoxJoy",
)
rvc_models_dir = BASE_DIR / "assets/pretrained"
print("Downloading pretrained models:")
model_names = [
"D32k.pth",
"D40k.pth",
"D48k.pth",
"G32k.pth",
"G40k.pth",
"G48k.pth",
"f0D32k.pth",
"f0D40k.pth",
"f0D48k.pth",
"f0G32k.pth",
"f0G40k.pth",
"f0G48k.pth",
]
for model in model_names:
print(f"Downloading {model}...")
dl_model(RVC_DOWNLOAD_LINK + "pretrained/", model, rvc_models_dir)
rvc_models_dir = BASE_DIR / "assets/pretrained_v2"
print("Downloading pretrained models v2:")
for model in model_names:
print(f"Downloading {model}...")
dl_model(RVC_DOWNLOAD_LINK + "pretrained_v2/", model, rvc_models_dir)
print("Downloading uvr5_weights:")
rvc_models_dir = BASE_DIR / "assets/uvr5_weights"
model_names = [
"HP2-%E4%BA%BA%E5%A3%B0vocals%2B%E9%9D%9E%E4%BA%BA%E5%A3%B0instrumentals.pth",
"HP2_all_vocals.pth",
"HP3_all_vocals.pth",
"HP5-%E4%B8%BB%E6%97%8B%E5%BE%8B%E4%BA%BA%E5%A3%B0vocals%2B%E5%85%B6%E4%BB%96instrumentals.pth",
"HP5_only_main_vocal.pth",
"VR-DeEchoAggressive.pth",
"VR-DeEchoDeReverb.pth",
"VR-DeEchoNormal.pth",
]
for model in model_names:
print(f"Downloading {model}...")
dl_model(RVC_DOWNLOAD_LINK + "uvr5_weights/", model, rvc_models_dir)
print("All models downloaded!")

353
tools/ipynb/v1.ipynb
View File

@@ -1,353 +0,0 @@
{
"cells": [
{
"cell_type": "markdown",
"metadata": {
"id": "WHBMn6dOWm-S"
},
"source": [
"# [Retrieval-based-Voice-Conversion-WebUI](https://github.com/RVC-Project/Retrieval-based-Voice-Conversion-WebUI) Training notebook"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "ZFFCx5J80SGa"
},
"source": [
"[![RVC v1](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/RVC-Project/Retrieval-based-Voice-Conversion-WebUI/blob/main/tools/colab/v1.ipynb)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "GmFP6bN9dvOq"
},
"outputs": [],
"source": [
"# @title 查看显卡\n",
"!nvidia-smi"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "jwu07JgqoFON"
},
"outputs": [],
"source": [
"# @title 挂载谷歌云盘\n",
"\n",
"from google.colab import drive\n",
"\n",
"drive.mount(\"/content/drive\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "wjddIFr1oS3W"
},
"outputs": [],
"source": [
"# @title 安装依赖\n",
"!apt -y install build-essential python3-dev ffmpeg\n",
"!pip3 install --upgrade setuptools wheel\n",
"!pip3 install --upgrade pip"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "ge_97mfpgqTm"
},
"outputs": [],
"source": [
"# @title 克隆仓库\n",
"\n",
"!git clone --depth=1 -b v1 https://github.com/RVC-Project/Retrieval-based-Voice-Conversion-WebUI\n",
"%cd /content/Retrieval-based-Voice-Conversion-WebUI"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "BLDEZADkvlw1"
},
"outputs": [],
"source": [
"# @title 安装依赖\n",
"!pip install -r requirements.txt"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "pqE0PrnuRqI2"
},
"outputs": [],
"source": [
"# @title 下载安装 RVC-Models-Downloader\n",
"!wget https://github.com/RVC-Project/RVC-Models-Downloader/releases/download/v0.2.3/rvcmd_linux_amd64.deb\n",
"!apt install ./rvcmd_linux_amd64.deb"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "UG3XpUwEomUz"
},
"outputs": [],
"source": [
"# @title 下载所需资源\n",
"!rvcmd -notrs -w 1 -notui assets/v1\n",
"!rvcmd -notrs -w 1 -notui assets/rmvpe"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "Mwk7Q0Loqzjx"
},
"outputs": [],
"source": [
"# @title 从谷歌云盘加载打包好的数据集到/content/dataset\n",
"\n",
"# @markdown 数据集位置\n",
"DATASET = \"/content/drive/MyDrive/mydataset.zip\" # @param {type:\"string\"}\n",
"\n",
"!mkdir -p /content/dataset\n",
"!unzip -d /content/dataset -B {DATASET}"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "PDlFxWHWEynD"
},
"outputs": [],
"source": [
"# @title 重命名数据集中的重名文件\n",
"!ls -a /content/dataset/\n",
"!rename 's/(\\w+)\\.(\\w+)~(\\d*)/$1_$3.$2/' /content/dataset/*.*~*"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "7vh6vphDwO0b"
},
"outputs": [],
"source": [
"# @title 启动web\n",
"%cd /content/Retrieval-based-Voice-Conversion-WebUI\n",
"# %load_ext tensorboard\n",
"# %tensorboard --logdir /content/Retrieval-based-Voice-Conversion-WebUI/logs\n",
"!python3 infer-web.py --colab --pycmd python3"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "FgJuNeAwx5Y_"
},
"outputs": [],
"source": [
"# @title 手动将训练后的模型文件备份到谷歌云盘\n",
"# @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",
"\n",
"# @markdown 模型名\n",
"MODELNAME = \"mymodel\" # @param {type:\"string\"}\n",
"# @markdown 模型epoch\n",
"MODELEPOCH = 3200 # @param {type:\"integer\"}\n",
"\n",
"!cp /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/G_{MODELEPOCH}.pth /content/drive/MyDrive/{MODELNAME}_D_{MODELEPOCH}.pth\n",
"!cp /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/D_{MODELEPOCH}.pth /content/drive/MyDrive/{MODELNAME}_G_{MODELEPOCH}.pth\n",
"!cp /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/added_*.index /content/drive/MyDrive/\n",
"!cp /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/total_*.npy /content/drive/MyDrive/\n",
"\n",
"!cp /content/Retrieval-based-Voice-Conversion-WebUI/weights/{MODELNAME}.pth /content/drive/MyDrive/{MODELNAME}{MODELEPOCH}.pth"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "OVQoLQJXS7WX"
},
"outputs": [],
"source": [
"# @title 从谷歌云盘恢复pth\n",
"# @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",
"\n",
"# @markdown 模型名\n",
"MODELNAME = \"mymodel\" # @param {type:\"string\"}\n",
"# @markdown 模型epoch\n",
"MODELEPOCH = 3200 # @param {type:\"integer\"}\n",
"\n",
"!mkdir -p /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}\n",
"\n",
"!cp /content/drive/MyDrive/{MODELNAME}_D_{MODELEPOCH}.pth /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/G_{MODELEPOCH}.pth\n",
"!cp /content/drive/MyDrive/{MODELNAME}_G_{MODELEPOCH}.pth /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/D_{MODELEPOCH}.pth\n",
"!cp /content/drive/MyDrive/*.index /content/\n",
"!cp /content/drive/MyDrive/*.npy /content/\n",
"!cp /content/drive/MyDrive/{MODELNAME}{MODELEPOCH}.pth /content/Retrieval-based-Voice-Conversion-WebUI/weights/{MODELNAME}.pth"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "ZKAyuKb9J6dz"
},
"outputs": [],
"source": [
"# @title 手动预处理（不推荐）\n",
"# @markdown 模型名\n",
"MODELNAME = \"mymodel\" # @param {type:\"string\"}\n",
"# @markdown 采样率\n",
"BITRATE = 48000 # @param {type:\"integer\"}\n",
"# @markdown 使用的进程数\n",
"THREADCOUNT = 8 # @param {type:\"integer\"}\n",
"\n",
"!python3 trainset_preprocess_pipeline_print.py /content/dataset {BITRATE} {THREADCOUNT} logs/{MODELNAME} True"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "CrxJqzAUKmPJ"
},
"outputs": [],
"source": [
"# @title 手动提取特征（不推荐）\n",
"# @markdown 模型名\n",
"MODELNAME = \"mymodel\" # @param {type:\"string\"}\n",
"# @markdown 使用的进程数\n",
"THREADCOUNT = 8 # @param {type:\"integer\"}\n",
"# @markdown 音高提取算法\n",
"ALGO = \"harvest\" # @param {type:\"string\"}\n",
"\n",
"!python3 extract_f0_print.py logs/{MODELNAME} {THREADCOUNT} {ALGO}\n",
"\n",
"!python3 extract_feature_print.py cpu 1 0 0 logs/{MODELNAME} True"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "IMLPLKOaKj58"
},
"outputs": [],
"source": [
"# @title 手动训练（不推荐）\n",
"# @markdown 模型名\n",
"MODELNAME = \"mymodel\" # @param {type:\"string\"}\n",
"# @markdown 使用的GPU\n",
"USEGPU = \"0\" # @param {type:\"string\"}\n",
"# @markdown 批大小\n",
"BATCHSIZE = 32 # @param {type:\"integer\"}\n",
"# @markdown 停止的epoch\n",
"MODELEPOCH = 3200 # @param {type:\"integer\"}\n",
"# @markdown 保存epoch间隔\n",
"EPOCHSAVE = 100 # @param {type:\"integer\"}\n",
"# @markdown 采样率\n",
"MODELSAMPLE = \"48k\" # @param {type:\"string\"}\n",
"# @markdown 是否缓存训练集\n",
"CACHEDATA = 1 # @param {type:\"integer\"}\n",
"# @markdown 是否仅保存最新的ckpt文件\n",
"ONLYLATEST = 0 # @param {type:\"integer\"}\n",
"\n",
"!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}"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "haYA81hySuDl"
},
"outputs": [],
"source": [
"# @title 删除其它pth，只留选中的（慎点，仔细看代码）\n",
"# @markdown 模型名\n",
"MODELNAME = \"mymodel\" # @param {type:\"string\"}\n",
"# @markdown 选中模型epoch\n",
"MODELEPOCH = 3200 # @param {type:\"integer\"}\n",
"\n",
"!echo \"备份选中的模型。。。\"\n",
"!cp /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/G_{MODELEPOCH}.pth /content/{MODELNAME}_D_{MODELEPOCH}.pth\n",
"!cp /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/D_{MODELEPOCH}.pth /content/{MODELNAME}_G_{MODELEPOCH}.pth\n",
"\n",
"!echo \"正在删除。。。\"\n",
"!ls /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}\n",
"!rm /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/*.pth\n",
"\n",
"!echo \"恢复选中的模型。。。\"\n",
"!mv /content/{MODELNAME}_D_{MODELEPOCH}.pth /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/G_{MODELEPOCH}.pth\n",
"!mv /content/{MODELNAME}_G_{MODELEPOCH}.pth /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/D_{MODELEPOCH}.pth\n",
"\n",
"!echo \"删除完成\"\n",
"!ls /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "QhSiPTVPoIRh"
},
"outputs": [],
"source": [
"# @title 清除项目下所有文件，只留选中的模型（慎点，仔细看代码）\n",
"# @markdown 模型名\n",
"MODELNAME = \"mymodel\" # @param {type:\"string\"}\n",
"# @markdown 选中模型epoch\n",
"MODELEPOCH = 3200 # @param {type:\"integer\"}\n",
"\n",
"!echo \"备份选中的模型。。。\"\n",
"!cp /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/G_{MODELEPOCH}.pth /content/{MODELNAME}_D_{MODELEPOCH}.pth\n",
"!cp /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/D_{MODELEPOCH}.pth /content/{MODELNAME}_G_{MODELEPOCH}.pth\n",
"\n",
"!echo \"正在删除。。。\"\n",
"!ls /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}\n",
"!rm -rf /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/*\n",
"\n",
"!echo \"恢复选中的模型。。。\"\n",
"!mv /content/{MODELNAME}_D_{MODELEPOCH}.pth /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/G_{MODELEPOCH}.pth\n",
"!mv /content/{MODELNAME}_G_{MODELEPOCH}.pth /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/D_{MODELEPOCH}.pth\n",
"\n",
"!echo \"删除完成\"\n",
"!ls /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}"
]
}
],
"metadata": {
"colab": {
"private_outputs": true,
"provenance": []
},
"kernelspec": {
"display_name": "Python 3",
"name": "python3"
},
"language_info": {
"name": "python"
}
},
"nbformat": 4,
"nbformat_minor": 0
}

352
tools/ipynb/v2.ipynb
View File

@@ -1,352 +0,0 @@
{
"cells": [
{
"cell_type": "markdown",
"metadata": {
"id": "QTSdqTqGcbyr"
},
"source": [
"# [Retrieval-based-Voice-Conversion-WebUI](https://github.com/RVC-Project/Retrieval-based-Voice-Conversion-WebUI) Training notebook"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "ZFFCx5J80SGa"
},
"source": [
"[![RVC v2](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/RVC-Project/Retrieval-based-Voice-Conversion-WebUI/blob/main/tools/colab/v2.ipynb)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "GmFP6bN9dvOq"
},
"outputs": [],
"source": [
"# @title #查看显卡\n",
"!nvidia-smi"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "jwu07JgqoFON"
},
"outputs": [],
"source": [
"# @title 挂载谷歌云盘\n",
"\n",
"from google.colab import drive\n",
"\n",
"drive.mount(\"/content/drive\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "wjddIFr1oS3W"
},
"outputs": [],
"source": [
"# @title #安装依赖\n",
"!apt -y install build-essential python3-dev ffmpeg\n",
"!pip3 install --upgrade setuptools wheel\n",
"!pip3 install --upgrade pip"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "ge_97mfpgqTm"
},
"outputs": [],
"source": [
"# @title #克隆仓库\n",
"\n",
"!git clone --depth=1 -b v2.2 https://github.com/RVC-Project/Retrieval-based-Voice-Conversion-WebUI\n",
"%cd /content/Retrieval-based-Voice-Conversion-WebUI"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "BLDEZADkvlw1"
},
"outputs": [],
"source": [
"# @title 安装依赖\n",
"!pip install -r requirements.txt"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "pqE0PrnuRqI2"
},
"outputs": [],
"source": [
"# @title 下载安装 RVC-Models-Downloader\n",
"!wget https://github.com/RVC-Project/RVC-Models-Downloader/releases/download/v0.2.3/rvcmd_linux_amd64.deb\n",
"!apt install ./rvcmd_linux_amd64.deb"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "UG3XpUwEomUz"
},
"outputs": [],
"source": [
"# @title 下载所需资源\n",
"!rvcmd -notrs -w 1 -notui assets/all"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "Mwk7Q0Loqzjx"
},
"outputs": [],
"source": [
"# @title #从谷歌云盘加载打包好的数据集到/content/dataset\n",
"\n",
"# @markdown 数据集位置\n",
"DATASET = \"/content/drive/MyDrive/mydataset.zip\" # @param {type:\"string\"}\n",
"\n",
"!mkdir -p /content/dataset\n",
"!unzip -d /content/dataset -B {DATASET}"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "PDlFxWHWEynD"
},
"outputs": [],
"source": [
"# @title #重命名数据集中的重名文件\n",
"!ls -a /content/dataset/\n",
"!rename 's/(\\w+)\\.(\\w+)~(\\d*)/$1_$3.$2/' /content/dataset/*.*~*"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "7vh6vphDwO0b"
},
"outputs": [],
"source": [
"# @title #启动webui\n",
"%cd /content/Retrieval-based-Voice-Conversion-WebUI\n",
"# %load_ext tensorboard\n",
"# %tensorboard --logdir /content/Retrieval-based-Voice-Conversion-WebUI/logs\n",
"!python3 infer-web.py --colab --pycmd python3"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "FgJuNeAwx5Y_"
},
"outputs": [],
"source": [
"# @title #手动将训练后的模型文件备份到谷歌云盘\n",
"# @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",
"\n",
"# @markdown #模型名\n",
"MODELNAME = \"mymodel\" # @param {type:\"string\"}\n",
"# @markdown #模型epoch\n",
"MODELEPOCH = 3200 # @param {type:\"integer\"}\n",
"\n",
"!cp /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/G_{MODELEPOCH}.pth /content/drive/MyDrive/{MODELNAME}_D_{MODELEPOCH}.pth\n",
"!cp /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/D_{MODELEPOCH}.pth /content/drive/MyDrive/{MODELNAME}_G_{MODELEPOCH}.pth\n",
"!cp /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/added_*.index /content/drive/MyDrive/\n",
"!cp /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/total_*.npy /content/drive/MyDrive/\n",
"\n",
"!cp /content/Retrieval-based-Voice-Conversion-WebUI/weights/{MODELNAME}.pth /content/drive/MyDrive/{MODELNAME}{MODELEPOCH}.pth"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "OVQoLQJXS7WX"
},
"outputs": [],
"source": [
"# @title 从谷歌云盘恢复pth\n",
"# @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",
"\n",
"# @markdown 模型名\n",
"MODELNAME = \"mymodel\" # @param {type:\"string\"}\n",
"# @markdown 模型epoch\n",
"MODELEPOCH = 3200 # @param {type:\"integer\"}\n",
"\n",
"!mkdir -p /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}\n",
"\n",
"!cp /content/drive/MyDrive/{MODELNAME}_D_{MODELEPOCH}.pth /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/G_{MODELEPOCH}.pth\n",
"!cp /content/drive/MyDrive/{MODELNAME}_G_{MODELEPOCH}.pth /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/D_{MODELEPOCH}.pth\n",
"!cp /content/drive/MyDrive/*.index /content/\n",
"!cp /content/drive/MyDrive/*.npy /content/\n",
"!cp /content/drive/MyDrive/{MODELNAME}{MODELEPOCH}.pth /content/Retrieval-based-Voice-Conversion-WebUI/weights/{MODELNAME}.pth"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "ZKAyuKb9J6dz"
},
"outputs": [],
"source": [
"# @title 手动预处理（不推荐）\n",
"# @markdown 模型名\n",
"MODELNAME = \"mymodel\" # @param {type:\"string\"}\n",
"# @markdown 采样率\n",
"BITRATE = 48000 # @param {type:\"integer\"}\n",
"# @markdown 使用的进程数\n",
"THREADCOUNT = 8 # @param {type:\"integer\"}\n",
"\n",
"!python3 trainset_preprocess_pipeline_print.py /content/dataset {BITRATE} {THREADCOUNT} logs/{MODELNAME} True"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "CrxJqzAUKmPJ"
},
"outputs": [],
"source": [
"# @title 手动提取特征（不推荐）\n",
"# @markdown 模型名\n",
"MODELNAME = \"mymodel\" # @param {type:\"string\"}\n",
"# @markdown 使用的进程数\n",
"THREADCOUNT = 8 # @param {type:\"integer\"}\n",
"# @markdown 音高提取算法\n",
"ALGO = \"harvest\" # @param {type:\"string\"}\n",
"\n",
"!python3 extract_f0_print.py logs/{MODELNAME} {THREADCOUNT} {ALGO}\n",
"\n",
"!python3 extract_feature_print.py cpu 1 0 0 logs/{MODELNAME} True"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "IMLPLKOaKj58"
},
"outputs": [],
"source": [
"# @title 手动训练（不推荐）\n",
"# @markdown 模型名\n",
"MODELNAME = \"mymodel\" # @param {type:\"string\"}\n",
"# @markdown 使用的GPU\n",
"USEGPU = \"0\" # @param {type:\"string\"}\n",
"# @markdown 批大小\n",
"BATCHSIZE = 32 # @param {type:\"integer\"}\n",
"# @markdown 停止的epoch\n",
"MODELEPOCH = 3200 # @param {type:\"integer\"}\n",
"# @markdown 保存epoch间隔\n",
"EPOCHSAVE = 100 # @param {type:\"integer\"}\n",
"# @markdown 采样率\n",
"MODELSAMPLE = \"48k\" # @param {type:\"string\"}\n",
"# @markdown 是否缓存训练集\n",
"CACHEDATA = 1 # @param {type:\"integer\"}\n",
"# @markdown 是否仅保存最新的ckpt文件\n",
"ONLYLATEST = 0 # @param {type:\"integer\"}\n",
"\n",
"!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}"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "haYA81hySuDl"
},
"outputs": [],
"source": [
"# @title 删除其它pth，只留选中的（慎点，仔细看代码）\n",
"# @markdown 模型名\n",
"MODELNAME = \"mymodel\" # @param {type:\"string\"}\n",
"# @markdown 选中模型epoch\n",
"MODELEPOCH = 3200 # @param {type:\"integer\"}\n",
"\n",
"!echo \"备份选中的模型。。。\"\n",
"!cp /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/G_{MODELEPOCH}.pth /content/{MODELNAME}_D_{MODELEPOCH}.pth\n",
"!cp /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/D_{MODELEPOCH}.pth /content/{MODELNAME}_G_{MODELEPOCH}.pth\n",
"\n",
"!echo \"正在删除。。。\"\n",
"!ls /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}\n",
"!rm /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/*.pth\n",
"\n",
"!echo \"恢复选中的模型。。。\"\n",
"!mv /content/{MODELNAME}_D_{MODELEPOCH}.pth /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/G_{MODELEPOCH}.pth\n",
"!mv /content/{MODELNAME}_G_{MODELEPOCH}.pth /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/D_{MODELEPOCH}.pth\n",
"\n",
"!echo \"删除完成\"\n",
"!ls /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "QhSiPTVPoIRh"
},
"outputs": [],
"source": [
"# @title 清除项目下所有文件，只留选中的模型（慎点，仔细看代码）\n",
"# @markdown 模型名\n",
"MODELNAME = \"mymodel\" # @param {type:\"string\"}\n",
"# @markdown 选中模型epoch\n",
"MODELEPOCH = 3200 # @param {type:\"integer\"}\n",
"\n",
"!echo \"备份选中的模型。。。\"\n",
"!cp /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/G_{MODELEPOCH}.pth /content/{MODELNAME}_D_{MODELEPOCH}.pth\n",
"!cp /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/D_{MODELEPOCH}.pth /content/{MODELNAME}_G_{MODELEPOCH}.pth\n",
"\n",
"!echo \"正在删除。。。\"\n",
"!ls /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}\n",
"!rm -rf /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/*\n",
"\n",
"!echo \"恢复选中的模型。。。\"\n",
"!mv /content/{MODELNAME}_D_{MODELEPOCH}.pth /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/G_{MODELEPOCH}.pth\n",
"!mv /content/{MODELNAME}_G_{MODELEPOCH}.pth /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/D_{MODELEPOCH}.pth\n",
"\n",
"!echo \"删除完成\"\n",
"!ls /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}"
]
}
],
"metadata": {
"colab": {
"private_outputs": true,
"provenance": []
},
"kernelspec": {
"display_name": "Python 3",
"name": "python3"
},
"language_info": {
"name": "python"
}
},
"nbformat": 4,
"nbformat_minor": 0
}