{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Dependencies"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Install the dependencies\n",
    "\n",
    "force_reinstall= False\n",
    "\n",
    "# Set to true only if you want to install the dependencies again.\n",
    "\n",
    "#--------------------\n",
    "with open('/dev/null', 'w') as devnull:import requests, os, time, importlib;open('/workspace/runpod_server.py', 'wb').write(requests.get('https://huggingface.co/datasets/TheLastBen/RNPD/raw/main/Scripts/mainrunpodA1111.py').content);os.chdir('/workspace');time.sleep(2);import mainrunpodA1111;importlib.reload(mainrunpodA1111);from mainrunpodA1111 import *;Deps(force_reinstall)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Install/Update AUTOMATIC1111 repo"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "Huggingface_token_optional=\"\"\n",
    "\n",
    "# Restore your backed-up SD folder by entering your huggingface token, leave it empty to start fresh or continue with the existing sd folder (if any).\n",
    "\n",
    "#--------------------\n",
    "repo(Huggingface_token_optional)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Model Download/Load"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "Original_Model_Version = \"SDXL\"\n",
    "\n",
    "# Choices are \"SDXL\", \"v1.5\", \"v2-512\", \"v2-768\"\n",
    "\n",
    "#-------------- Or\n",
    "\n",
    "Path_to_MODEL = \"\"\n",
    "\n",
    "# Insert the full path of your trained model or to a folder containing multiple models.\n",
    "\n",
    "\n",
    "MODEL_LINK = \"\"\n",
    "\n",
    "# A direct link to a Model or a shared gdrive link.\n",
    "\n",
    "\n",
    "#--------------------\n",
    "model=mdl(Original_Model_Version, Path_to_MODEL, MODEL_LINK)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# LoRA Download"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Download/update ControlNet extension and its models.\n",
    "\n",
    "ControlNet_v1_Model = \"all\"\n",
    "\n",
    "# Choices are : none; all; 1: Canny; 2: Depth; 3: Lineart; 4: MLSD; 5: Normal; 6: OpenPose; 7: Scribble; 8: Seg; 9: ip2p; 10:Shuffle; 11: Inpaint; 12: Softedge; 13: Lineart_Anime; 14: Tile; 15: T2iadapter_Models\n",
    "\n",
    "ControlNet_XL_Model = \"all\"\n",
    "\n",
    "# Choices are : none; all; 1: Canny; 2: Depth; 3: Sketch; 4: OpenPose; 5: Recolor\n",
    "\n",
    "#--------------------\n",
    "CNet(ControlNet_v1_Model, ControlNet_XL_Model)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Start Stable-Diffusion"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "User = \"\"\n",
    "\n",
    "Password= \"\"\n",
    "\n",
    "# Add credentials to your Gradio interface (optional).\n",
    "\n",
    "#-----------------\n",
    "configf=sd(User, Password, model) if 'model' in locals() else sd(User, Password, \"\");import gradio;gradio.close_all()\n",
    "!python /workspace/sd/stable-diffusion-webui/webui.py $configf"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Backup SD folder"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# This will backup your sd folder -without the models- to your huggingface account, so you can restore it whenever you start an instance.\n",
    "\n",
    "Huggingface_Write_token=\"\"\n",
    "\n",
    "# Must be a WRITE token, get yours here : https://huggingface.co/settings/tokens\n",
    "\n",
    "#--------------------\n",
    "save(Huggingface_Write_token)"
   ]
  }
 ],
 "metadata": {
  "language_info": {
   "name": "python"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}