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{
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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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},
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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"
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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": "code",
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"execution_count": null,
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"metadata": {
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"id": "OL82Y4rBjZIV"
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},
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"outputs": [],
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"source": [
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"!nvidia-smi"
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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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"### 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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},
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"outputs": [],
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"source": [
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"import os.path\n",
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"\n",
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"if not os.path.exists('/notebooks/stable-diffusion-webui'):\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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"jp-MarkdownHeadingCollapsed": true,
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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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"\n",
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"!pip install -r requirements.txt\n",
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"\n",
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"if not os.path.exists('/notebooks/stable-diffusion-webui/repositories'): # download repositories if they don't exist\n",
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" !mkdir /notebooks/stable-diffusion-webui/repositories\n",
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" !git clone https://github.com/CompVis/stable-diffusion.git /notebooks/stable-diffusion-webui/repositories/stable-diffusion\n",
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" !git clone https://github.com/CompVis/taming-transformers.git /notebooks/stable-diffusion-webui/repositories/taming-transformers\n",
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" !git clone https://github.com/sczhou/CodeFormer.git /notebooks/stable-diffusion-webui/repositories/CodeFormer\n",
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"else: # update repositories if they do exist\n",
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" print('Updating dependencies')\n",
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" for dir in os.listdir('/notebooks/stable-diffusion-webui/repositories'):\n",
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" %cd /notebooks/stable-diffusion-webui/repositories/$dir\n",
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" !git pull\n",
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" \n",
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"!pip install -r /notebooks/stable-diffusion-webui/repositories/CodeFormer/requirements.txt\n",
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"\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\n",
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"else:\n",
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" print('GFPGANv1.3.pth already downloaded')"
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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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"# import os\n",
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"# os.kill(os.getpid(), 9) # This will crash Colab (required, everything will still be intact so dont worry)"
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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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},
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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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"**Pick only one!**"
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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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"#### 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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"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, create the directory `/notebooks/stable-diffusion/` in this notebook (pro-tip: use `mkdir -p`), then upload it to that dir (make sure it's named `model.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 user_token here>\"\n",
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"\n",
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"# ===============================================================================================\n",
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"\n",
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"if not os.path.exists('/notebooks/stable-diffusion/models/ldm/stable-diffusion-v1/model.ckpt'):\n",
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" user_header = f\"'Authorization: Bearer {user_token}'\"\n",
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" !wget --header={user_header} https://huggingface.co/CompVis/stable-diffusion-v-1-4-original/resolve/main/sd-v1-4.ckpt -O /notebooks/stable-diffusion-webui/model.ckpt\n",
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"else:\n",
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" print('Standard model already downloaded')"
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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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"#### Waifu Diffusion"
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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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"**HTTPS**"
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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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"if not os.path.exists('/notebooks/stable-diffusion-webui/model.ckpt'):\n",
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" !wget https://thisanimedoesnotexist.ai/downloads/wd-v1-2-full-ema.ckpt -O /notebooks/stable-diffusion-webui/model.ckpt\n",
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"else:\n",
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" print('Waifu Diffusion model already downloaded')"
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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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"**Gradient Dataset**"
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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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"mounted_dataset_path = '/datasets/<name>'\n",
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"!rsync -ah --info=progress2 $mounted_dataset_path/wd-v1-2-full-ema.ckpt /notebooks/stable-diffusion-webui/model.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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"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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"You will get a link to nnn.gradio.app, that's your WebUI. Follow it."
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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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},
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"outputs": [],
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"source": [
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"import sys\n",
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"# sys.argv = [\"--opt-split-attention\"] # low memory optimizations, not nessesary for Paperspace.\n",
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"sys.argv = [''] # if you aren't using any args you must provide an empty array.\n",
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"\n",
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"import webui\n",
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"import modules.ui\n",
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"import modules.txt2img\n",
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"import modules.img2img\n",
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"\n",
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"demo = modules.ui.create_ui(\n",
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" txt2img=webui.wrap_gradio_gpu_call(modules.txt2img.txt2img),\n",
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" img2img=webui.wrap_gradio_gpu_call(modules.img2img.img2img),\n",
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" run_extras=webui.wrap_gradio_gpu_call(webui.run_extras),\n",
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" run_pnginfo=webui.run_pnginfo\n",
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")\n",
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"\n",
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"demo.launch(share=True)"
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]
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}
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],
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"metadata": {
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"accelerator": "GPU",
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"colab": {
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"collapsed_sections": [],
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"private_outputs": true,
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"provenance": []
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},
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"gpuClass": "standard",
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"kernelspec": {
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.9.13"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 4
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}
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