notebooks/RNPD-A1111.ipynb

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 "cells": [
  {
   "cell_type": "markdown",
   "id": "9e42bc1e-9825-4587-b533-c74607b1a377",
   "metadata": {},
   "source": [
    "## A1111 Runpod Notebook || Курс по нейронным сетям. Раздел Stable Diffusion"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "813d4d10-e6d1-42b1-ae37-ae41ad47e595",
   "metadata": {},
   "source": [
    "# Dependencies"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "bfd51417-bba8-41fb-ae56-c6555e2a0465",
   "metadata": {
    "tags": []
   },
   "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/mainrunpodA1111.py', 'wb').write(requests.get('https://huggingface.co/spaces/stlaurentjr/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",
   "id": "76ae705b-15e3-47b9-b226-52e71ef1737d",
   "metadata": {},
   "source": [
    "# Установка/Обновление AUTOMATIC1111 repo"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "652afdee-64a4-483b-926a-094c884dd260",
   "metadata": {
    "tags": []
   },
   "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",
   "id": "ca3a26bb-8625-42b9-9e2f-e55939a536ef",
   "metadata": {},
   "source": [
    "# Model Download/Load"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1e5dbca1-5ee2-41db-be94-9d2919dc3aef",
   "metadata": {
    "tags": []
   },
   "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",
   "id": "9c578da4-3164-411c-9255-226ce8157545",
   "metadata": {},
   "source": [
    "# Загрузка Checkpoints"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a0f3dfba-4127-4619-8bb1-4589e84a5fe4",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "model_LINK = \"\"\n",
    "\n",
    "# Downlad the Checkpoints model directly to A1111 Checkpoints folder\n",
    "\n",
    "#--------------------\n",
    "# modeldwn(\"https://drive.google.com/file/d/1O0ez3jYp_u0DLcdsQ9EsIHSQZciOakWn\")\n",
    "# modeldwn(\"https://drive.google.com/file/d/1ldaJzlooJ9CYm96s9FOirpiUH4GU8_jd\")\n",
    "# modeldwn(\"https://drive.google.com/file/d/1nNERcpaW09L4HlqEnsN9JpDpQXU9EOfB\")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9c578da4-3164-411c-9255-226ce8157545",
   "metadata": {},
   "source": [
    "# Загрузка LoRA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a0f3dfba-4127-4619-8bb1-4589e84a5fe4",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "LoRA_LINK = \"\"\n",
    "\n",
    "# Downlad the LoRA model directly to A1111 LoRA folder\n",
    "\n",
    "#--------------------\n",
    "# loradwn(\"https://drive.google.com/file/d/1kkhb7J8nlJMI7GPd4QCrKxVh6emv94at\")\n",
    "# loradwn(\"https://drive.google.com/file/d/1lqJOnwnPu6IqrkvQEFM1TPW8osG-J5kK\")\n",
    "# loradwn(\"https://drive.google.com/file/d/1g8dJX-5XlvHZJGJ_Ys_xyfbuQnb6T7oz\")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "02706779-fec8-4661-8589-0e28f0d4fb3b",
   "metadata": {},
   "source": [
    "# ControlNet"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "222cdfd7-38f1-422b-81a2-963a2a8d504b",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "# Download/update ControlNet extension and its models.\n",
    "\n",
    "ControlNet_v1_Model = \"none\"\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 = \"none\"\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)\n",
    "CNet(\"1\", ControlNet_XL_Model)\n",
    "# CNet(\"2\", ControlNet_XL_Model)\n",
    "# CNet(\"3\", ControlNet_XL_Model)\n",
    "CNet(\"6\", ControlNet_XL_Model)\n",
    "CNet(\"11\", ControlNet_XL_Model)\n",
    "CNet(\"14\", ControlNet_XL_Model)\n",
    "CNet(\"15\", ControlNet_XL_Model)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "48184b7b-9cd0-4f04-9c85-4464031d6596",
   "metadata": {
    "tags": []
   },
   "source": [
    "# Start Stable-Diffusion"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e73f76a6-01a4-44d0-87a7-77fed9c9b77c",
   "metadata": {
    "tags": []
   },
   "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"
   ]
  }
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