552 lines
16 KiB
Plaintext
552 lines
16 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {
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"id": "gfKvWAVnz8OB",
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"tags": []
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},
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"source": [
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"# Voldemort's Stable Diffusion WebUI\n",
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"\n",
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"Adapted from: https://colab.research.google.com/drive/1Iy-xW9t1-OQWhb0hNxueGij8phCyluOh\n",
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"\n",
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"**Updating the Notebook**\n",
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"\n",
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"In the Tools section at the bottom of the notebook there is a block to download the latest version from Github.\n",
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"\n",
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"**Guides**\n",
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"- [Getting started on Paperspace](https://github.com/Engineer-of-Stuff/stable-diffusion-paperspace/blob/main/Docs/Paperspace%20Guide%20for%20Retards.md)\n",
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"- [Using the WebUI](https://rentry.org/voldy)\n",
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"- [Using the Inpainter](https://rentry.org/drfar)\n",
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"- [Textual Inversion](https://rentry.org/aikgx)\n",
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"- [Crowd-Sourced Prompts](https://lexica.art/)\n",
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"- [Artist Name Prompts](https://sgreens.notion.site/sgreens/4ca6f4e229e24da6845b6d49e6b08ae7?v=fdf861d1c65d456e98904fe3f3670bd3)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"tags": []
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},
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"source": [
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"## Installation and Setup\n",
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"\n",
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"You must reinstall everything each time you restart the machine. If already downloaded dependencies will be auto-updated."
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"**Where to store the models**\n",
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"\n",
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"`/storage/` is persistent storage shared across all machines on your account.\n",
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"\n",
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"`/notebooks/` is storage for this notebook only.\n",
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"\n",
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"We're going to store models in `/storage/models` and create a symlink.\n",
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"\n",
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"_You must run the block below or else the variable won't be accessable in the notebook._"
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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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"outputs": [],
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"source": [
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"model_storage_dir = '/storage/models' # no trailing slash\n",
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"\n",
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"# ===============================================================\n",
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"# Save the variable to Jupiter's temp storage to access it when the kernel restarts.\n",
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"# To reset your storage directory, rerun this cell.\n",
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"%store model_storage_dir"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"tags": []
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},
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"source": [
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"### Clone the central repository"
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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": "sBbcB4vwj_jm",
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"tags": []
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},
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"outputs": [],
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"source": [
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"import os.path\n",
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"%store -r model_storage_dir\n",
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"if not os.path.exists('/notebooks/stable-diffusion-webui'):\n",
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" %cd /notebooks/\n",
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" !git clone https://github.com/AUTOMATIC1111/stable-diffusion-webui\n",
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"else: # update repo if already exists\n",
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" print('stable-diffusion-webui already downloaded, updating...')\n",
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" %cd /notebooks/stable-diffusion-webui\n",
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" !git pull"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"id": "C68TUpkq0nj_",
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"tags": []
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},
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"source": [
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"### Install requirements and download repositories"
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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": "SaAJk33ppFw1",
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"scrolled": true,
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"tags": []
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},
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"outputs": [],
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"source": [
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"%cd /notebooks/stable-diffusion-webui\n",
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"%store -r model_storage_dir\n",
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"\n",
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"# Import launch.py which will automatically run the install script but not launch the WebUI.\n",
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"# They require a few specific external git repo commits so we have to do it their way. \n",
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"import launch\n",
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"\n",
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"# Download the GFPGAN face restorer.\n",
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"if not os.path.exists('/notebooks/stable-diffusion-webui/GFPGANv1.3.pth'):\n",
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" !wget https://github.com/TencentARC/GFPGAN/releases/download/v1.3.0/GFPGANv1.3.pth -O /notebooks/stable-diffusion-webui/GFPGANv1.3.pth\n",
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"else:\n",
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" print('GFPGANv1.3.pth already downloaded')\n",
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" \n",
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"# Make sure your models storage directory exists\n",
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"!mkdir -p $model_storage_dir"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"id": "F0EINk5M0s-w",
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"jp-MarkdownHeadingCollapsed": true,
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"tags": []
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},
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"source": [
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"### Download the Model"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"I've provided a few different ways of aquiring the models. Try the torrent option first.\n",
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"\n",
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"You don't need to repeat this step if you've already downloaded the models.\n",
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"\n",
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"**Filesize and Storage Disclaimer**\n",
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"\n",
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"Paperspace free tier has only 5GB of storage space. The standard model is 4GB and waifu is 3.5GB/7.2GB. To get around this limited storage capacity we will download the models to `/storage/`, a non-persistent directory. Each time you restart the machine you will have to redownload the models.\n",
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"\n",
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"If you don't want to have to redownload the models every time you restart your machine you have three options:\n",
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"1. Add a payment method to your account. Storage overages are billed at \\$0.29/GB and billing occurs monthly and runs at midnight on the first of each month. With a payment method on file, Paperspace will let you use more storage and if you time it right you shouldn't actually be charged for it.\n",
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"2. Upgrade to a Pro account. They'll give you 15GB and you'll get longer runtimes and more powerful free GPUs.\n",
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"3. Use my referral code `KQLRH37` You'll get \\$10 credit that you should be able to put towards the storage overage charges. Redeem the code at the bottom of the Billing page.\n",
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"\n",
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"**Torrent Instructions**\n",
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"\n",
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"Aria2 may show some errors/warnings while downloading. Those are fine, when it eventually says \"Download Complete\" that means everything worked as it should."
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"tags": []
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},
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"source": [
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"#### Standard Model"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"**Torrent**"
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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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"outputs": [],
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"source": [
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"%store -r model_storage_dir\n",
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"!apt update\n",
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"!apt install -y aria2\n",
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"%cd $model_storage_dir\n",
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"!aria2c --seed-time=0 --max-overall-upload-limit=1K \"magnet:?xt=urn:btih:3A4A612D75ED088EA542ACAC52F9F45987488D1C&tr=udp://tracker.opentrackr.org:1337/announce\""
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"**Web Download**\n",
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"\n",
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"Voldy provided an alternative download if you don't want to use HuggingFace.\n",
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"\n",
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"[https://drive.google.com/file/d/1wHFgl0ivCmIZv88hVZXkb8oy9qCuaBGA/view](https://drive.google.com/file/d/1wHFgl0ivCmIZv88hVZXkb8oy9qCuaBGA/view)\n",
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"\n",
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"Download it to your computer then upload it to your model storage directory (make sure it's named `sd-v1-4.ckpt`).\n",
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"\n",
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"HuggingFace is much faster and reliable but you need to get access to the repo and provide your user token."
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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": "CT_J9L7oqLxG"
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},
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"outputs": [],
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"source": [
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"user_token = \"<enter your user token here>\"\n",
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"\n",
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"# ===============================================================================================\n",
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"%store -r model_storage_dir\n",
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"!wget --header=\"'Authorization: Bearer {user_token}'\" https://huggingface.co/CompVis/stable-diffusion-v-1-4-original/resolve/main/sd-v1-4.ckpt -O $model_storage_dir/sd-v1-4.ckpt"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"tags": []
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},
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"source": [
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"#### Waifu Diffusion\n",
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"\n",
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"The original Stable Diffusion anime finetune."
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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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"outputs": [],
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"source": [
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"!apt update\n",
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"!apt install -y aria2\n",
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"%cd $model_storage_dir\n",
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"!aria2c --seed-time=0 --max-overall-upload-limit=1K \"magnet:?xt=urn:btih:153590FD7E93EE11D8DB951451056C362E3A9150&dn=wd-v1-2-full-ema-pruned.ckpt&tr=udp://tracker.opentrackr.org:1337/announce\""
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"tags": []
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},
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"source": [
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"#### trinart_stable_diffusion_v2"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Anime finetune.\n",
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"\n",
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"The 60000 steps version is the original, the 115000 steps is the 60000 with additional training. Use the 60000 step version if the style nudging is too much.\n",
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"\n",
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"[See the comparison here](https://raw.githubusercontent.com/Engineer-of-Stuff/stable-diffusion-paperspace/main/Docs/Assets/model%20comparison.jpg)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"**60000**"
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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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"outputs": [],
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"source": [
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"%store -r model_storage_dir\n",
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"!wget https://huggingface.co/naclbit/trinart_stable_diffusion_v2/resolve/main/trinart2_step60000.ckpt -O $model_storage_dir/trinart2_step60000.ckpt"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"**95000**"
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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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"outputs": [],
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"source": [
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"%store -r model_storage_dir\n",
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"!wget https://huggingface.co/naclbit/trinart_stable_diffusion_v2/resolve/main/trinart2_step95000.ckpt -O $model_storage_dir/trinart2_step95000.ckpt"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"**115000**"
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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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"outputs": [],
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"source": [
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"%store -r model_storage_dir\n",
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"!wget https://huggingface.co/naclbit/trinart_stable_diffusion_v2/resolve/main/trinart2_step115000.ckpt -O $model_storage_dir/trinart2_step115000.ckpt"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"tags": []
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},
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"source": [
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"### Clean up and restart the kernel"
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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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"outputs": [],
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"source": [
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"%store -r model_storage_dir\n",
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"\n",
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"# Get some storage back\n",
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"!pip cache purge\n",
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"!rm $model_storage_dir/*.aria2\n",
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"!apt remove --purge -y aria2\n",
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"!apt autoremove --purge -y\n",
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"!apt clean\n",
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"\n",
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"# Restart the kernel\n",
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"import os\n",
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"os.kill(os.getpid(), 9)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### Link the models directory\n",
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"\n",
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"Create symlinks. The file will be stored in the models storage directory and linked to where the WebUI expects the files to be."
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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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"outputs": [],
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"source": [
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"%store -r model_storage_dir\n",
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"import os\n",
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"\n",
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"# Check for broken symlinks and remove them\n",
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"for file in os.listdir('/notebooks/stable-diffusion-webui/models/'):\n",
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" path = f'/notebooks/stable-diffusion-webui/models/{file}'\n",
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" if os.path.islink(path) and not os.path.exists(os.readlink(path)):\n",
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" print(f'Symlink broken, removing: {file}')\n",
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" os.unlink(path)\n",
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"\n",
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"# Make symlinks for new files\n",
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"for file in os.listdir(model_storage_dir):\n",
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" if file.endswith(\"ckpt\"):\n",
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" path = f'/notebooks/stable-diffusion-webui/models/{file}'\n",
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" if not os.path.exists(path):\n",
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" print(f'New model: {file}')\n",
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" !ln -s $model_storage_dir/$file /notebooks/stable-diffusion-webui/models/$file\n",
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" !ls -la --block-size=GB /notebooks/stable-diffusion-webui/models/$file"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"id": "xt8lbdmC04ox"
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},
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"source": [
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"# Launch the WebUI"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Run this block to launch the WebUI. You will get a link to nnn.gradio.app, that's your WebUI. Follow it.\n",
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"\n",
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"If you have any issues, restart the kernel.\n",
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"\n",
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"If you have a lot of VRAM and aren't generating large images you can add the flag `--disable-opt-split-attention` to disable VRAM optimizations for a speed boost."
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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": "R-xAdMA5wxXd",
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"tags": []
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},
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"outputs": [],
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"source": [
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"%store -r model_storage_dir\n",
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"%cd /notebooks/stable-diffusion-webui\n",
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"!python /notebooks/stable-diffusion-webui/webui.py --share # --disable-opt-split-attention"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"jp-MarkdownHeadingCollapsed": true,
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"tags": []
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},
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"source": [
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"# Export Generations"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"This block will rename and compress the outputs with 7zip max compression. It expects you to have `log/` and `outputs/` in `/notebooks/`."
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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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"scrolled": true,
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"tags": []
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},
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"outputs": [],
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"source": [
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"!apt update\n",
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"!apt install -y p7zip-full\n",
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"from datetime import datetime\n",
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"import os\n",
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"datetime_str = datetime.now().strftime('%m-%d-%Y_%H:%M:%S')\n",
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"%cd /notebooks/\n",
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"!mkdir $datetime_str\n",
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"!mv log $datetime_str\n",
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"!mv outputs $datetime_str\n",
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"print('Compressing, please wait...')\n",
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"os.system(f'7z a -t7z -m0=lzma2 -mx=9 -mfb=64 -md=32m -ms=on {datetime_str}.7z {datetime_str}/')"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"tags": []
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},
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"source": [
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"### Delete old output folder\n",
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"\n",
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"This block will delete the folder you just compressed."
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"!rm -rf /notebooks/$datetime_str/\n",
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"!echo Deleted /notebooks/$datetime_str/"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"jp-MarkdownHeadingCollapsed": true,
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"tags": []
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},
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"source": [
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"# Tools"
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]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"**Show graphics card info**"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"!nvidia-smi"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"**Download the latest version of this notebook from Github**\n",
|
|
"\n",
|
|
"Run this and refresh the page (press F5). Don't save anything or you will overwrite the downloaded file."
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"!mv /notebooks/StableDiffusionUI_Voldemort_paperspace.ipynb /notebooks/StableDiffusionUI_Voldemort_paperspace.ipynb.backup\n",
|
|
"!wget https://raw.githubusercontent.com/Engineer-of-Stuff/stable-diffusion-paperspace/main/StableDiffusionUI_Voldemort_paperspace.ipynb -O /notebooks/StableDiffusionUI_Voldemort_paperspace.ipynb"
|
|
]
|
|
}
|
|
],
|
|
"metadata": {
|
|
"accelerator": "GPU",
|
|
"colab": {
|
|
"collapsed_sections": [],
|
|
"private_outputs": true,
|
|
"provenance": []
|
|
},
|
|
"gpuClass": "standard",
|
|
"kernelspec": {
|
|
"display_name": "Python 3 (ipykernel)",
|
|
"language": "python",
|
|
"name": "python3"
|
|
},
|
|
"language_info": {
|
|
"codemirror_mode": {
|
|
"name": "ipython",
|
|
"version": 3
|
|
},
|
|
"file_extension": ".py",
|
|
"mimetype": "text/x-python",
|
|
"name": "python",
|
|
"nbconvert_exporter": "python",
|
|
"pygments_lexer": "ipython3",
|
|
"version": "3.9.13"
|
|
}
|
|
},
|
|
"nbformat": 4,
|
|
"nbformat_minor": 4
|
|
}
|