Upload LoRa_cast_bfp16_to_fp16.ipynb
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LoRa_cast_bfp16_to_fp16.ipynb
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{
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"nbformat": 4,
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"nbformat_minor": 0,
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"metadata": {
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"colab": {
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"provenance": []
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},
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"kernelspec": {
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"name": "python3",
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"display_name": "Python 3"
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},
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"language_info": {
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"name": "python"
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}
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},
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"cells": [
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{
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"cell_type": "markdown",
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"source": [
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"# Cast civitai trained LoRa in torch.bfloat16 to Tensor Art Compatible torch.float16 dtype\n",
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"\n",
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"Created by Adcom: https://tensor.art/u/743241123023077878"
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],
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"metadata": {
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"id": "YDCnQpDdqDe4"
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}
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},
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{
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"cell_type": "code",
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"source": [
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"#initialize\n",
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"import torch\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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"metadata": {
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"id": "1oxeJYHRqxQC"
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},
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"execution_count": null,
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"outputs": []
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},
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{
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"cell_type": "markdown",
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"source": [
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"<---- Upload your civiai trained .safetensor file to Google Colab before running the next cell\n",
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"\n"
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],
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"metadata": {
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"id": "oDAUwfFzqzgj"
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}
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"id": "WQZ3BZn1p-pw"
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},
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"outputs": [],
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"source": [
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"civiai_lora = '' # @param {type:'string' ,placeholder:'ex. civitai_trained_e19.safetensors'}\n",
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"tensor_art_filename = '' # @param {type:'string' ,placeholder:'ex. e19.safetensors'}\n",
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"%cd /content/\n",
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"tgt = load_file(f'{civiai_lora}')\n",
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"for key in tgt:\n",
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" tgt[f'{key}'] = tgt[f'{key}'].to(dtype=torch.float16)\n",
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"%cd /content/\n",
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"save_file(tgt , f'{tensor_art_filename}')"
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]
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},
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{
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"cell_type": "markdown",
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"source": [
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"Download the new .safetensor file to your device.\n",
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"\n",
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"Downloading from CoLab Notebook will seemingly do nothing for ~5min. Then the file will download , so be patient.\n",
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"\n",
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"For faster/more consistent downloads , download your .safetensor file from your Google Drive"
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],
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"metadata": {
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"id": "blnBW-U4rAS7"
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}
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}
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]
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}
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