Datasets:
Tags:
Not-For-All-Audiences
Upload LoRa_cast_bfp16_to_fp16.ipynb
Browse files
LoRa_cast_bfp16_to_fp16.ipynb
ADDED
|
@@ -0,0 +1,84 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"nbformat": 4,
|
| 3 |
+
"nbformat_minor": 0,
|
| 4 |
+
"metadata": {
|
| 5 |
+
"colab": {
|
| 6 |
+
"provenance": []
|
| 7 |
+
},
|
| 8 |
+
"kernelspec": {
|
| 9 |
+
"name": "python3",
|
| 10 |
+
"display_name": "Python 3"
|
| 11 |
+
},
|
| 12 |
+
"language_info": {
|
| 13 |
+
"name": "python"
|
| 14 |
+
}
|
| 15 |
+
},
|
| 16 |
+
"cells": [
|
| 17 |
+
{
|
| 18 |
+
"cell_type": "markdown",
|
| 19 |
+
"source": [
|
| 20 |
+
"# Cast civitai trained LoRa in torch.bfloat16 to Tensor Art Compatible torch.float16 dtype\n",
|
| 21 |
+
"\n",
|
| 22 |
+
"Created by Adcom: https://tensor.art/u/743241123023077878"
|
| 23 |
+
],
|
| 24 |
+
"metadata": {
|
| 25 |
+
"id": "YDCnQpDdqDe4"
|
| 26 |
+
}
|
| 27 |
+
},
|
| 28 |
+
{
|
| 29 |
+
"cell_type": "code",
|
| 30 |
+
"source": [
|
| 31 |
+
"#initialize\n",
|
| 32 |
+
"import torch\n",
|
| 33 |
+
"from google.colab import drive\n",
|
| 34 |
+
"drive.mount('/content/drive')"
|
| 35 |
+
],
|
| 36 |
+
"metadata": {
|
| 37 |
+
"id": "1oxeJYHRqxQC"
|
| 38 |
+
},
|
| 39 |
+
"execution_count": null,
|
| 40 |
+
"outputs": []
|
| 41 |
+
},
|
| 42 |
+
{
|
| 43 |
+
"cell_type": "markdown",
|
| 44 |
+
"source": [
|
| 45 |
+
"<---- Upload your civiai trained .safetensor file to Google Colab before running the next cell\n",
|
| 46 |
+
"\n"
|
| 47 |
+
],
|
| 48 |
+
"metadata": {
|
| 49 |
+
"id": "oDAUwfFzqzgj"
|
| 50 |
+
}
|
| 51 |
+
},
|
| 52 |
+
{
|
| 53 |
+
"cell_type": "code",
|
| 54 |
+
"execution_count": null,
|
| 55 |
+
"metadata": {
|
| 56 |
+
"id": "WQZ3BZn1p-pw"
|
| 57 |
+
},
|
| 58 |
+
"outputs": [],
|
| 59 |
+
"source": [
|
| 60 |
+
"civiai_lora = '' # @param {type:'string' ,placeholder:'ex. civitai_trained_e19.safetensors'}\n",
|
| 61 |
+
"tensor_art_filename = '' # @param {type:'string' ,placeholder:'ex. e19.safetensors'}\n",
|
| 62 |
+
"%cd /content/\n",
|
| 63 |
+
"tgt = load_file(f'{civiai_lora}')\n",
|
| 64 |
+
"for key in tgt:\n",
|
| 65 |
+
" tgt[f'{key}'] = tgt[f'{key}'].to(dtype=torch.float16)\n",
|
| 66 |
+
"%cd /content/\n",
|
| 67 |
+
"save_file(tgt , f'{tensor_art_filename}')"
|
| 68 |
+
]
|
| 69 |
+
},
|
| 70 |
+
{
|
| 71 |
+
"cell_type": "markdown",
|
| 72 |
+
"source": [
|
| 73 |
+
"Download the new .safetensor file to your device.\n",
|
| 74 |
+
"\n",
|
| 75 |
+
"Downloading from CoLab Notebook will seemingly do nothing for ~5min. Then the file will download , so be patient.\n",
|
| 76 |
+
"\n",
|
| 77 |
+
"For faster/more consistent downloads , download your .safetensor file from your Google Drive"
|
| 78 |
+
],
|
| 79 |
+
"metadata": {
|
| 80 |
+
"id": "blnBW-U4rAS7"
|
| 81 |
+
}
|
| 82 |
+
}
|
| 83 |
+
]
|
| 84 |
+
}
|