{ "cells": [ { "cell_type": "markdown", "metadata": { "id": "gfKvWAVnz8OB" }, "source": [ "# Voldemort's Stable Diffusion WebUI\n", "\n", "Adapted from: https://colab.research.google.com/drive/1Iy-xW9t1-OQWhb0hNxueGij8phCyluOh" ] }, { "cell_type": "markdown", "metadata": { "tags": [] }, "source": [ "## Installation and Setup\n", "\n", "You must reinstall everything each time you restart the machine. If already downloaded dependencies will be auto-updated." ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "OL82Y4rBjZIV" }, "outputs": [], "source": [ "!nvidia-smi" ] }, { "cell_type": "markdown", "metadata": { "tags": [] }, "source": [ "### Clone the central repository" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "sBbcB4vwj_jm", "tags": [] }, "outputs": [], "source": [ "import os.path\n", "\n", "if not os.path.exists('/notebooks/stable-diffusion-webui'):\n", " %cd /notebooks/\n", " !git clone https://github.com/AUTOMATIC1111/stable-diffusion-webui\n", "else: # update repo if already exists\n", " print('stable-diffusion-webui already downloaded, updating')\n", " %cd /notebooks/stable-diffusion-webui\n", " !git pull" ] }, { "cell_type": "markdown", "metadata": { "id": "C68TUpkq0nj_", "tags": [] }, "source": [ "### Install requirements and download repositories." ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "SaAJk33ppFw1", "scrolled": true, "tags": [] }, "outputs": [], "source": [ "%cd /notebooks/stable-diffusion-webui\n", "\n", "!pip install -r requirements.txt\n", "\n", "if not os.path.exists('/notebooks/stable-diffusion-webui/repositories'): # download repositories if they don't exist\n", " !mkdir /notebooks/stable-diffusion-webui/repositories\n", " !git clone https://github.com/CompVis/stable-diffusion.git /notebooks/stable-diffusion-webui/repositories/stable-diffusion\n", " !git clone https://github.com/CompVis/taming-transformers.git /notebooks/stable-diffusion-webui/repositories/taming-transformers\n", " !git clone https://github.com/sczhou/CodeFormer.git /notebooks/stable-diffusion-webui/repositories/CodeFormer\n", "else: # update repositories if they do exist\n", " print('Updating dependencies')\n", " for dir in os.listdir('/notebooks/stable-diffusion-webui/repositories'):\n", " %cd /notebooks/stable-diffusion-webui/repositories/$dir\n", " !git pull\n", " \n", "!pip install -r /notebooks/stable-diffusion-webui/repositories/CodeFormer/requirements.txt\n", "\n", "if not os.path.exists('/notebooks/stable-diffusion-webui/GFPGANv1.3.pth'):\n", " !wget https://github.com/TencentARC/GFPGAN/releases/download/v1.3.0/GFPGANv1.3.pth\n", "else:\n", " print('GFPGANv1.3.pth already downloaded')\n", " \n", "!mkdir -p /notebooks/models/" ] }, { "cell_type": "markdown", "metadata": { "id": "F0EINk5M0s-w", "jp-MarkdownHeadingCollapsed": true, "tags": [] }, "source": [ "### Download the model" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "I've provided a few different ways of aquiring the models. Try the torrent option first.\n", "\n", "You don't need to repeat this step if you've already downloaded the models.\n", "\n", "**Filesize Disclaimer:** Paperspace free tier has only 5GB of storage space. The standard model is 4GB and waifu is 7.2GB." ] }, { "cell_type": "markdown", "metadata": { "jp-MarkdownHeadingCollapsed": true, "tags": [] }, "source": [ "#### Standard Model" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**Torrent**" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "!apt update\n", "!apt install -y aria2\n", "%cd /notebooks/models\n", "!aria2c --seed-time=0 --max-overall-upload-limit=1K \"magnet:?xt=urn:btih:3A4A612D75ED088EA542ACAC52F9F45987488D1C&tr=udp://tracker.opentrackr.org:1337\"\n", "!rm /notebooks/models/sd-v1-4.ckpt.aria2" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**Web Download**\n", "\n", "Voldy provided an alternative download if you don't want to use HuggingFace.\n", "\n", "[https://drive.google.com/file/d/1wHFgl0ivCmIZv88hVZXkb8oy9qCuaBGA/view](https://drive.google.com/file/d/1wHFgl0ivCmIZv88hVZXkb8oy9qCuaBGA/view)\n", "\n", "Download it to your computer then upload it to `/notebooks/models` (make sure it's named `sd-v1-4.ckpt`).\n", "\n", "HuggingFace is much faster and reliable but you need to get access to the repo and provide your user token." ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "CT_J9L7oqLxG" }, "outputs": [], "source": [ "user_token = \"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\"\n", "\n", "# ===============================================================================================\n", "\n", "user_header = f\"'Authorization: Bearer {user_token}'\"\n", "!wget --header={user_header} https://huggingface.co/CompVis/stable-diffusion-v-1-4-original/resolve/main/sd-v1-4.ckpt -O /notebooks/models/sd-v1-4.ckpt" ] }, { "cell_type": "markdown", "metadata": { "jp-MarkdownHeadingCollapsed": true, "tags": [] }, "source": [ "#### Waifu Diffusion" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**Torrent**" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "!apt update\n", "!apt install -y aria2\n", "%cd /notebooks/models\n", "!aria2c --seed-time=0 --max-overall-upload-limit=1K \"magnet:?xt=urn:btih:F45CECF4E9DE86DA83A78DD2CCCD7F27D5557A52&tr=udp://nyquist.localghost.org:6969\"\n", "!rm /notebooks/models/wd-v1-2-full-ema.ckpt.aria2" ] }, { "cell_type": "markdown", "metadata": { "tags": [] }, "source": [ "**Web Download**\n", "\n", "Very slow" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "!wget https://thisanimedoesnotexist.ai/downloads/wd-v1-2-full-ema.ckpt -O /notebooks/models/wd-v1-2-full-ema.ckpt" ] }, { "cell_type": "markdown", "metadata": { "jp-MarkdownHeadingCollapsed": true, "tags": [] }, "source": [ "#### Gradient Dataset Import" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Paperspace provides a way to mount external storage to notebooks, called *Datasets*. This is an advanced method but it will save you many GB since you can reuse the same model file across different notebooks.\n", "\n", "https://docs.paperspace.com/gradient/cli/datasets" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "mounted_dataset_path = '/datasets/'\n", "\n", "# ============================================================\n", "\n", "for file in os.listdir(mounted_dataset_path):\n", " if file.endswith(\"ckpt\"):\n", " !ln -s $mounted_dataset_path/$file /notebooks/models/$file\n", " !ls -la --block-size=GB /notebooks/models/$file" ] }, { "cell_type": "markdown", "metadata": { "id": "xt8lbdmC04ox" }, "source": [ "# Launch the WebUI" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "First, enter the name of the model you want to use into `model_name` in the cell below.\n", "\n", "Then run the model. You will get a link to nnn.gradio.app, that's your WebUI. Follow it.\n", "\n", "If you have any issues, restart the kernel." ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "R-xAdMA5wxXd", "scrolled": true, "tags": [] }, "outputs": [], "source": [ "# Possible models:\n", "# sd-v1-4.ckpt (standard diffusion v1.4)\n", "# wd-v1-2-full-ema.ckpt (waifu-diffusion v1.2)\n", "\n", "model_name = ''\n", "\n", "# ========================================================================================================\n", "\n", "model_file = f'/notebooks/models/{model_name}'\n", "\n", "import sys\n", "import os\n", "\n", "if not os.path.exists(model_file):\n", " print('Cannot find model file:', model_file)\n", " sys.exit(1)\n", "\n", "if model_name == '':\n", " print('You forgot to fill out the variable model_file above.')\n", " sys.exit(1)\n", "\n", "!python /notebooks/stable-diffusion-webui/webui.py --share --ckpt $model_file --show-negative-prompt" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "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 }