{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Easy-peasy Windows install"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Note that you will need NVIDIA drivers, Python 3.10, and Git installed\n",
"beforehand - simplified\n",
"[step-by-step instructions](https://github.com/lstein/stable-diffusion/wiki/Easy-peasy-Windows-install)\n",
"are available in the wiki (you'll only need steps 1, 2, & 3 )"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Run each cell in turn. In VSCode, either hit SHIFT-ENTER, or click on the little ▶️ to the left of the cell. In Jupyter/JupyterLab, you **must** hit SHIFT-ENTER"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"%pip install pew"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"%%cmd\n",
"git clone https://github.com/lstein/stable-diffusion.git"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"%cd stable-diffusion"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"%%writefile requirements.txt\n",
"albumentations==0.4.3\n",
"einops==0.3.0\n",
"huggingface-hub==0.8.1\n",
"imageio-ffmpeg==0.4.2\n",
"imageio==2.9.0\n",
"kornia==0.6.0\n",
"# pip will resolve the version which matches torch\n",
"numpy\n",
"omegaconf==2.1.1\n",
"opencv-python==4.6.0.66\n",
"pillow==9.2.0\n",
"pip>=22\n",
"pudb==2019.2\n",
"pytorch-lightning==1.4.2\n",
"streamlit==1.12.0\n",
"# \"CompVis/taming-transformers\" doesn't work\n",
"# ldm\\models\\autoencoder.py\", line 6, in <module>\n",
"# from taming.modules.vqvae.quantize import VectorQuantizer2 as VectorQuantizer\n",
"# ModuleNotFoundError\n",
"taming-transformers-rom1504==0.0.6\n",
"test-tube>=0.7.5\n",
"torch-fidelity==0.3.0\n",
"torchmetrics==0.6.0\n",
"transformers==4.19.2\n",
"git+https://github.com/openai/CLIP.git@main#egg=clip\n",
"git+https://github.com/lstein/k-diffusion.git@master#egg=k-diffusion\n",
"# No CUDA in PyPi builds\n",
"--extra-index-url https://download.pytorch.org/whl/cu113 --trusted-host https://download.pytorch.org\n",
"torch==1.11.0\n",
"# Same as numpy - let pip do its thing\n",
"torchvision\n",
"-e .\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"%%cmd\n",
"pew new --python 3.10 -r requirements.txt --dont-activate ldm"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Switch the notebook kernel to the new 'ldm' environment!\n",
"\n",
"## VSCode: restart VSCode and come back to this cell\n",
"\n",
"1. Ctrl+Shift+P\n",
"1. Type \"Select Interpreter\" and select \"Jupyter: Select Interpreter to Start Jupyter Server\"\n",
"1. VSCode will say that it needs to install packages. Click the \"Install\" button.\n",
"1. Once the install is finished, do 1 & 2 again\n",
"1. Pick 'ldm'\n",
"1. Run the following cell"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"%cd stable-diffusion"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"\n",
"## Jupyter/JupyterLab\n",
"\n",
"1. Run the cell below\n",
"1. Click on the toolbar where it says \"(ipyknel)\" ↗️. You should get a pop-up asking you to \"Select Kernel\". Pick 'ldm' from the drop-down.\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### DO NOT RUN THE FOLLOWING CELL IF YOU ARE USING VSCODE!!"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"# DO NOT RUN THIS CELL IF YOU ARE USING VSCODE!!\n",
"%%cmd\n",
"pew workon ldm\n",
"pip3 install ipykernel\n",
"python -m ipykernel install --name=ldm"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### When running the next cell, Jupyter/JupyterLab users might get a warning saying \"IProgress not found\". This can be ignored."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"%run \"scripts/preload_models.py\""
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"%%cmd\n",
"mkdir \"models/ldm/stable-diffusion-v1\""
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Now copy the SD model you downloaded from Hugging Face into the above new directory, and (if necessary) rename it to 'model.ckpt'"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Now go create some magic!\n",
"\n",
"VSCode\n",
"\n",
"- The actual input box for the 'dream' prompt will appear at the very top of the VSCode window. Type in your commands and hit 'ENTER'.\n",
"- To quit, hit the 'Interrupt' button in the toolbar up there ⬆️ a couple of times, then hit ENTER (you'll probably see a terrifying traceback from Python - just ignore it).\n",
"\n",
"Jupyter/JupyterLab\n",
"\n",
"- The input box for the 'dream' prompt will appear below. Type in your commands and hit 'ENTER'.\n",
"- To quit, hit the interrupt button (⏹️) in the toolbar up there ⬆️ a couple of times, then hit ENTER (you'll probably see a terrifying traceback from Python - just ignore it)."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"%run \"scripts/dream.py\""
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Once this seems to be working well, you can try opening a terminal\n",
"\n",
"- VSCode: type ('CTRL+`')\n",
"- Jupyter/JupyterLab: File|New Terminal\n",
"- Or jump out of the notebook entirely, and open Powershell/Command Prompt\n",
"\n",
"Now:\n",
"\n",
"1. `cd` to wherever the 'stable-diffusion' directory is\n",
"1. Run `pew workon ldm`\n",
"1. Run `winpty python scripts\\dream.py`"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3.10.6 ('ldm')",
"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": "3.10.6"
},
"vscode": {
"interpreter": {
"hash": "a05e4574567b7bc2c98f7f9aa579f9ea5b8739b54844ab610ac85881c4be2659"
}
}
},
"nbformat": 4,
"nbformat_minor": 4
}