ai-voice-cloning/notebook_paperspace.ipynb

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{
"cells": [
{
"cell_type": "markdown",
"metadata": {
"id": "ni41hmE03DL6"
},
"source": [
"## Initialization"
]
},
{
"cell_type": "code",
"metadata": {
"id": "FtsMKKfH18iM"
},
"source": [
"!sudo apt update\n",
"!sudo apt-get install python3.9-venv -y\n",
"%cd /notebooks/\n",
"!git clone https://git.ecker.tech/mrq/ai-voice-cloning/\n",
"!ln -s ./ai-voice-cloning/models/ ./\n",
"%cd ai-voice-cloning\n",
"!./setup-cuda.sh\n",
"#!./update.sh"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "IzrGt5IcHlAD"
},
"source": [
"# Update Repos"
]
},
{
"cell_type": "code",
"metadata": {
"id": "3DktoOXSHmtw"
},
"source": [
"# for my debugging purposes\n",
"%cd /notebooks/ai-voice-cloning/\n",
"!sudo apt update\n",
"!sudo apt-get install python3.9-venv -y\n",
"!mkdir -p ~/.cache\n",
"!ln -s /notebooks/ai-voice-cloning/models/voicefixer ~/.cache/.\n",
"!./update-force.sh\n",
"#!git pull\n",
"#!git submodule update --remote"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "o1gkfw3B3JSk"
},
"source": [
"## Running"
]
},
{
"cell_type": "code",
"metadata": {
"id": "c_EQZLTA19c7"
},
"source": [
"%cd /notebooks/ai-voice-cloning\n",
"\n",
"!export TORTOISE_MODELS_DIR=/notebooks/ai-voice-cloning/models/tortoise/\n",
"!export TRANSFORMERS_CACHE=/notebooks/ai-voice-cloning/models/transformers/\n",
"\n",
"!./start.sh --share"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "2AnVQxEJx47p"
},
"source": [
"## Exporting"
]
},
{
"cell_type": "code",
"metadata": {
"id": "YOACiDCXx72G"
},
"source": [
"%cd /notebooks/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": {
"accelerator": "GPU",
"colab": {
"private_outputs": true,
"provenance": []
},
"gpuClass": "standard",
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.13"
}
},
"nbformat": 4,
"nbformat_minor": 4
}