forked from camenduru/ai-voice-cloning
205 lines
5.5 KiB
Plaintext
Executable File
205 lines
5.5 KiB
Plaintext
Executable File
{
|
|
"nbformat":4,
|
|
"nbformat_minor":0,
|
|
"metadata":{
|
|
"colab":{
|
|
"private_outputs":true
|
|
},
|
|
"kernelspec":{
|
|
"name":"python3",
|
|
"display_name":"Python 3"
|
|
},
|
|
"language_info":{
|
|
"name":"python"
|
|
},
|
|
"accelerator":"GPU",
|
|
"gpuClass":"standard"
|
|
},
|
|
"cells":[
|
|
{
|
|
"cell_type":"markdown",
|
|
"source":[
|
|
"## Initialization"
|
|
],
|
|
"metadata":{
|
|
"id":"ni41hmE03DL6"
|
|
}
|
|
},
|
|
{
|
|
"cell_type":"code",
|
|
"execution_count":null,
|
|
"metadata":{
|
|
"id":"FtsMKKfH18iM"
|
|
},
|
|
"outputs":[
|
|
|
|
],
|
|
"source":[
|
|
"!git clone https://git.ecker.tech/mrq/ai-voice-cloning/\n",
|
|
"%cd ai-voice-cloning\n",
|
|
"!apt install python3.8-venv\n",
|
|
"!python -m venv venv\n",
|
|
"!source ./venv/bin/activate\n",
|
|
"!git clone https://git.ecker.tech/mrq/DL-Art-School dlas\n",
|
|
"!python -m pip install --upgrade pip\n",
|
|
"!pip install torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/cu116\n",
|
|
"!python -m pip install -r ./dlas/requirements.txt\n",
|
|
"!python -m pip install -r ./requirements.txt"
|
|
]
|
|
},
|
|
{
|
|
"cell_type":"markdown",
|
|
"source":[
|
|
"# Update Repos"
|
|
],
|
|
"metadata":{
|
|
"id":"IzrGt5IcHlAD"
|
|
}
|
|
},
|
|
{
|
|
"cell_type":"code",
|
|
"source":[
|
|
"%cd /content/ai-voice-cloning/dlas\n",
|
|
"!git reset --hard HEAD\n",
|
|
"!git pull\n",
|
|
"%cd ..\n",
|
|
"!git reset --hard HEAD\n",
|
|
"!git pull\n"
|
|
],
|
|
"metadata":{
|
|
"id":"3DktoOXSHmtw"
|
|
},
|
|
"execution_count":null,
|
|
"outputs":[
|
|
|
|
]
|
|
},
|
|
{
|
|
"cell_type":"markdown",
|
|
"source":[
|
|
"# Mount Drive"
|
|
],
|
|
"metadata":{
|
|
"id":"2Y4t9zDIZMTg"
|
|
}
|
|
},
|
|
{
|
|
"cell_type":"code",
|
|
"source":[
|
|
"from google.colab import drive\n",
|
|
"drive.mount('/content/drive')\n",
|
|
"\n",
|
|
"%cd /content/ai-voice-cloning\n",
|
|
"!rm -r ./training\n",
|
|
"!ln -s /content/drive/MyDrive/training/"
|
|
],
|
|
"metadata":{
|
|
"id":"SGt9gyvubveT"
|
|
},
|
|
"execution_count":null,
|
|
"outputs":[
|
|
|
|
]
|
|
},
|
|
{
|
|
"cell_type":"markdown",
|
|
"source":[
|
|
"## Running"
|
|
],
|
|
"metadata":{
|
|
"id":"o1gkfw3B3JSk"
|
|
}
|
|
},
|
|
{
|
|
"cell_type":"code",
|
|
"source":[
|
|
"%cd /content/ai-voice-cloning\n",
|
|
"!source ./venv/bin/activate\n",
|
|
"\n",
|
|
"import os\n",
|
|
"import sys\n",
|
|
"\n",
|
|
"sys.argv = [\"\"]\n",
|
|
"sys.path.append('./src/')\n",
|
|
"\n",
|
|
"if 'TORTOISE_MODELS_DIR' not in os.environ:\n",
|
|
"\tos.environ['TORTOISE_MODELS_DIR'] = os.path.realpath(os.path.join(os.getcwd(), './models/tortoise/'))\n",
|
|
"\n",
|
|
"if 'TRANSFORMERS_CACHE' not in os.environ:\n",
|
|
"\tos.environ['TRANSFORMERS_CACHE'] = os.path.realpath(os.path.join(os.getcwd(), './models/transformers/'))\n",
|
|
"\n",
|
|
"from utils import *\n",
|
|
"from webui import *\n",
|
|
"\n",
|
|
"args = setup_args()\n",
|
|
"\n",
|
|
"webui = setup_gradio()\n",
|
|
"tts = setup_tortoise()\n",
|
|
"webui.launch(share=True, prevent_thread_lock=True, height=1000)\n",
|
|
"webui.block_thread()"
|
|
],
|
|
"metadata":{
|
|
"id":"c_EQZLTA19c7"
|
|
},
|
|
"execution_count":null,
|
|
"outputs":[
|
|
|
|
]
|
|
},
|
|
{
|
|
"cell_type":"markdown",
|
|
"source":[
|
|
"# Fallback Training"
|
|
],
|
|
"metadata":{
|
|
"id":"ggLY9A9KA21D"
|
|
}
|
|
},
|
|
{
|
|
"cell_type":"code",
|
|
"source":[
|
|
"# This is in case you can't get training through the web UI\n",
|
|
"%cd /content/ai-voice-cloning\n",
|
|
"!python ./dlas/codes/train.py -opt ./training/finetune.yaml"
|
|
],
|
|
"metadata":{
|
|
"id":"-KayB8klA5tY"
|
|
},
|
|
"execution_count":null,
|
|
"outputs":[
|
|
|
|
]
|
|
},
|
|
{
|
|
"cell_type":"markdown",
|
|
"source":[
|
|
"## Exporting"
|
|
],
|
|
"metadata":{
|
|
"id":"2AnVQxEJx47p"
|
|
}
|
|
},
|
|
{
|
|
"cell_type":"code",
|
|
"source":[
|
|
"%cd /content/ai-voice-cloning\n",
|
|
"!apt install -y p7zip-full\n",
|
|
"from datetime import datetime\n",
|
|
"timestamp = datetime.now().strftime('%m-%d-%Y_%H:%M:%S')\n",
|
|
"!mkdir -p \"../{timestamp}/results\"\n",
|
|
"!mv ./results/* \"../{timestamp}/results/.\"\n",
|
|
"!mv ./training/* \"../{timestamp}/training/.\"\n",
|
|
"!7z a -t7z -m0=lzma2 -mx=9 -mfb=64 -md=32m -ms=on \"../{timestamp}.7z\" \"../{timestamp}/\"\n",
|
|
"!ls ~/\n",
|
|
"!echo \"Finished zipping, archive is available at {timestamp}.7z\""
|
|
],
|
|
"metadata":{
|
|
"id":"YOACiDCXx72G"
|
|
},
|
|
"execution_count":null,
|
|
"outputs":[
|
|
|
|
]
|
|
}
|
|
]
|
|
} |