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{
"nbformat": 4,
"nbformat_minor": 0,
"metadata": {
"colab": {
"provenance": []
},
"kernelspec": {
"name": "python3",
"display_name": "Python 3"
},
"language_info": {
"name": "python"
}
},
"cells": [
{
"cell_type": "markdown",
"source": [
"# Cast civitai trained LoRa in torch.bfloat16 to Tensor Art Compatible torch.float16 dtype\n",
"\n",
"Created by Adcom: https://tensor.art/u/743241123023077878"
],
"metadata": {
"id": "YDCnQpDdqDe4"
}
},
{
"cell_type": "code",
"source": [
"#initialize\n",
"import torch\n",
"from google.colab import drive\n",
"drive.mount('/content/drive')"
],
"metadata": {
"id": "1oxeJYHRqxQC"
},
"execution_count": null,
"outputs": []
},
{
"cell_type": "markdown",
"source": [
"<---- Upload your civiai trained .safetensor file to Google Colab before running the next cell\n",
"\n"
],
"metadata": {
"id": "oDAUwfFzqzgj"
}
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "WQZ3BZn1p-pw"
},
"outputs": [],
"source": [
"civiai_lora = '' # @param {type:'string' ,placeholder:'ex. civitai_trained_e19.safetensors'}\n",
"tensor_art_filename = '' # @param {type:'string' ,placeholder:'ex. e19.safetensors'}\n",
"%cd /content/\n",
"tgt = load_file(f'{civiai_lora}')\n",
"for key in tgt:\n",
" tgt[f'{key}'] = tgt[f'{key}'].to(dtype=torch.float16)\n",
"%cd /content/\n",
"save_file(tgt , f'{tensor_art_filename}')"
]
},
{
"cell_type": "markdown",
"source": [
"Download the new .safetensor file to your device.\n",
"\n",
"Downloading from CoLab Notebook will seemingly do nothing for ~5min. Then the file will download , so be patient.\n",
"\n",
"For faster/more consistent downloads , download your .safetensor file from your Google Drive"
],
"metadata": {
"id": "blnBW-U4rAS7"
}
}
]
} |