run.ipynb

Kernel: Python 3

import os
import json

directory_path = 'C://Users//PC//Desktop//stable-diffusion-webui-colab//nightly'
file_list = os.listdir(directory_path)

for filename in file_list:
    if filename.endswith('.ipynb'):
        new_filename = filename.replace('.ipynb', '_run.ipynb')
        notebook_content = {
    "cells": [
        {
            "attachments": {},
            "cell_type": "markdown",
            "metadata": {"id": "view-in-github"},
            "source": [
                f"[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/camenduru/stable-diffusion-webui-colab/blob/main/nightly/{new_filename})"
            ],
        },
        {
            "cell_type": "code",
            "execution_count": None,
            "metadata": {},
            "outputs": [],
            "source": [
                "%cd /content\n",
                "import urllib, requests\n",
                "from notebook import notebookapp\n",
                "name = requests.get(f\"{list(notebookapp.list_running_servers())[0]['url']}api/sessions\").json()[0][\"name\"].replace(\"_run\", \"\")\n",
                "url = '/'.join(urllib.parse.unquote(requests.get(f\"{list(notebookapp.list_running_servers())[0]['url']}api/sessions\").json()[0][\"path\"].split(\"=\", 1)[1]).split(\"/\")).replace(\"/blob/\", \"/\").replace(\"github.com\", \"raw.githubusercontent.com\").replace(\"_run\", \"\")\n",
                "!wget {url} -O {name}\n",
                "%run {name}"
            ],
        },
    ],
    "metadata": {
        "accelerator": "GPU",
        "colab": {
            "collapsed_sections": [],
            "private_outputs": True,
            "provenance": [],
        },
        "gpuClass": "standard",
        "kernelspec": {
            "display_name": "Python 3",
            "language": "python",
            "name": "python3",
        },
        "language_info": {
            "name": "python",
            "version": "3.10.8",
        },
    },
    "nbformat": 4,
    "nbformat_minor": 0,
}
        
        with open(os.path.join(directory_path, new_filename), 'w') as notebook_file:
            json.dump(notebook_content, notebook_file, indent=2)