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add notebook and readme section
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artmen1516
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@ -152,6 +152,14 @@ Note that loading GFPGAN consumes additional GPU memory, and will add
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a few seconds to image generation. However, if can afford a 3090s with
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24Gi, the results are well worth it.
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## Google Colab
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Stable Diffusion AI Notebook: <a href="https://colab.research.google.com/github/lstein/stable-diffusion/blob/main/Stable_Diffusion_AI_Notebook.ipynb" target="_parent"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/></a> <br>
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Open and follow instructions to use an isolated environment running Dream.<br>
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Output example:
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## Barebones Web Server
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As of version 1.10, this distribution comes with a bare bones web
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256
Stable_Diffusion_AI_Notebook.ipynb
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256
Stable_Diffusion_AI_Notebook.ipynb
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{
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"nbformat": 4,
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"nbformat_minor": 0,
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"metadata": {
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"colab": {
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"name": "Stable_Diffusion_AI_Notebook.ipynb",
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"provenance": [],
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"collapsed_sections": [],
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"private_outputs": true
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},
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"kernelspec": {
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"name": "python3",
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"display_name": "Python 3"
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},
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"language_info": {
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"name": "python"
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},
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"accelerator": "GPU",
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"gpuClass": "standard"
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},
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"cells": [
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{
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"cell_type": "markdown",
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"source": [
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"# Stable Diffusion AI Notebook\n",
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"\n",
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"<img src=\"https://user-images.githubusercontent.com/60411196/186547976-d9de378a-9de8-4201-9c25-c057a9c59bad.jpeg\" alt=\"stable-diffusion-ai\" width=\"170px\"/> <br>\n",
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"#### Instructions:\n",
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"1. Execute each cell in order to mount a Dream bot and create images from text. <br>\n",
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"2. Once cells 1-8 were run correctly you'll be executing a terminal in cell #9, you'll to enter `pipenv run scripts/dream.py` command to run Dream bot.<br> \n",
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"3. After launching dream bot, you'll see: <br> `Dream > ` in terminal. <br> Insert a command, eg. `Dream > Astronaut floating in a distant galaxy`, or type `-h` for help.\n",
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"3. After completion you'll see your generated images in path `stable-diffusion/outputs/img-samples/`, you can also display images in cell #10.\n",
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"4. To quit Dream bot use `q` command. <br> \n",
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"---\n",
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"<font color=\"red\">Note:</font> It takes some time to load, but after installing all dependencies you can use the bot all time you want while colab instance is up. <br>\n",
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"<font color=\"red\">Requirements:</font> For this notebook to work you need to have [Stable-Diffusion-v-1-4](https://huggingface.co/CompVis/stable-diffusion-v-1-4-original) stored in your Google Drive, it will be needed in cell #6\n",
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"##### For more details visit Github repository: [lstein/stable-diffusion](https://github.com/lstein/stable-diffusion)\n",
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"---\n"
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],
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"metadata": {
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"id": "ycYWcsEKc6w7"
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}
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},
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{
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"cell_type": "code",
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"source": [
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"#@title 1. Check current GPU assigned\n",
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"!nvidia-smi -L\n",
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"!nvidia-smi"
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],
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"metadata": {
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"cellView": "form",
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"id": "a2Z5Qu_o8VtQ"
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},
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"execution_count": null,
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"outputs": []
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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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"cellView": "form",
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"id": "vbI9ZsQHzjqF"
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},
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"outputs": [],
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"source": [
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"#@title 2. Download stable-diffusion Repository\n",
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"from os.path import exists\n",
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"\n",
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"if exists(\"/content/stable-diffusion/\")==True:\n",
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" print(\"Already downloaded repo\")\n",
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"else:\n",
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" !git clone --quiet https://github.com/lstein/stable-diffusion.git # Original repo\n",
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" %cd stable-diffusion/\n",
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" !git checkout --quiet tags/release-1.09\n",
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" "
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]
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},
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{
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"cell_type": "code",
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"source": [
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"#@title 3. Install Python 3.8 \n",
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"%%capture --no-stderr\n",
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"import gc\n",
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"!apt-get -qq install python3.8\n",
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"gc.collect()"
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],
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"metadata": {
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"id": "daHlozvwKesj",
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"cellView": "form"
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},
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"execution_count": null,
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"outputs": []
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},
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{
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"cell_type": "code",
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"source": [
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"#@title 4. Install dependencies from file in a VirtualEnv\n",
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"#@markdown Be patient, it takes ~ 5 - 7min <br>\n",
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"%%capture --no-stderr\n",
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"#Virtual environment\n",
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"!pip install pipenv -q\n",
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"!pip install colab-xterm\n",
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"%load_ext colabxterm\n",
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"!pipenv --python 3.8\n",
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"!pipenv install -r requirements.txt --skip-lock\n",
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"gc.collect()\n"
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],
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"metadata": {
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"cellView": "form",
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"id": "QbXcGXYEFSNB"
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},
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"execution_count": null,
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"outputs": []
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},
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{
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"cell_type": "code",
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"source": [
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"#@title 5. Mount google Drive\n",
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"from google.colab import drive\n",
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"drive.mount('/content/drive')"
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],
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"metadata": {
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"cellView": "form",
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"id": "YEWPV-sF1RDM"
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},
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"execution_count": null,
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"outputs": []
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},
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{
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"cell_type": "code",
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"source": [
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"#@title 6. Drive Path to model\n",
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"#@markdown Path should start with /content/drive/path-to-your-file <br>\n",
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"#@markdown <font color=\"red\">Note:</font> Model should be downloaded from https://huggingface.co <br>\n",
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"#@markdown Lastest release: [Stable-Diffusion-v-1-4](https://huggingface.co/CompVis/stable-diffusion-v-1-4-original)\n",
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"from os.path import exists\n",
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"\n",
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"model_path = \"\" #@param {type:\"string\"}\n",
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"if exists(model_path)==True:\n",
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" print(\"✅ Valid directory\")\n",
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"else: \n",
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" print(\"❌ File doesn't exist\")"
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],
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"metadata": {
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"cellView": "form",
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"id": "zRTJeZ461WGu"
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},
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"execution_count": null,
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"outputs": []
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},
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{
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"cell_type": "code",
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"source": [
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"#@title 7. Symlink to model\n",
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"\n",
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"from os.path import exists\n",
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"import os \n",
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"\n",
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"# Folder creation if it doesn't exist\n",
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"if exists(\"/content/stable-diffusion/models/ldm/stable-diffusion-v1\")==True:\n",
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" print(\"❗ Dir stable-diffusion-v1 already exists\")\n",
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"else:\n",
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" %mkdir /content/stable-diffusion/models/ldm/stable-diffusion-v1\n",
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" print(\"✅ Dir stable-diffusion-v1 created\")\n",
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"\n",
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"# Symbolic link if it doesn't exist\n",
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"if exists(\"/content/stable-diffusion/models/ldm/stable-diffusion-v1/model.ckpt\")==True:\n",
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" print(\"❗ Symlink already created\")\n",
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"else: \n",
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" src = model_path\n",
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" dst = '/content/stable-diffusion/models/ldm/stable-diffusion-v1/model.ckpt'\n",
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" os.symlink(src, dst) \n",
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" print(\"✅ Symbolic link created successfully\")"
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],
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"metadata": {
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"id": "UY-NNz4I8_aG",
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"cellView": "form"
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},
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"execution_count": null,
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"outputs": []
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},
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{
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"cell_type": "code",
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"source": [
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"#@title 8. Load small ML models required\n",
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"%%capture --no-stderr\n",
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"!pipenv run scripts/preload_models.py\n",
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"gc.collect()"
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],
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"metadata": {
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"cellView": "form",
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"id": "ChIDWxLVHGGJ"
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},
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"execution_count": null,
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"outputs": []
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},
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{
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"cell_type": "code",
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"source": [
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"#@title 9. Run Terminal and Execute Dream bot\n",
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"#@markdown <font color=\"blue\">Steps:</font> <br>\n",
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"#@markdown 1. Execute command `pipenv run scripts/dream.py` to run dream bot.<br>\n",
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"#@markdown 2. After initialized you'll see `Dream>` line.<br>\n",
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"#@markdown 3. Example text: `Astronaut floating in a distant galaxy` <br>\n",
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"#@markdown 4. To quit Dream bot use: `q` command.<br>\n",
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"\n",
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"#Run from virtual env\n",
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"\n",
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"%xterm\n",
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"gc.collect()"
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],
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"metadata": {
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"id": "ir4hCrMIuUpl",
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"cellView": "form"
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},
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"execution_count": null,
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"outputs": []
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},
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{
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"cell_type": "code",
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"source": [
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"#@title 10. Show generated images\n",
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"\n",
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"import glob\n",
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"import matplotlib.pyplot as plt\n",
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"import matplotlib.image as mpimg\n",
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"%matplotlib inline\n",
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"\n",
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"images = []\n",
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"for img_path in glob.glob('/content/stable-diffusion/outputs/img-samples/*.png'):\n",
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" images.append(mpimg.imread(img_path))\n",
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"\n",
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"# Remove ticks and labels on x-axis and y-axis both\n",
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"\n",
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"plt.figure(figsize=(20,10))\n",
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"\n",
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"columns = 5\n",
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"for i, image in enumerate(images):\n",
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" ax = plt.subplot(len(images) / columns + 1, columns, i + 1)\n",
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" ax.axes.xaxis.set_visible(False)\n",
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" ax.axes.yaxis.set_visible(False)\n",
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" ax.axis('off')\n",
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" plt.imshow(image)\n",
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" gc.collect()\n",
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"\n"
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],
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"metadata": {
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"cellView": "form",
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"id": "qnLohSHmKoGk"
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},
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"execution_count": null,
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"outputs": []
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}
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]
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}
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