mirror of
https://github.com/invoke-ai/InvokeAI
synced 2024-08-30 20:32:17 +00:00
TOIL(pip): Refactor pip requirements across the board (#531)
* Refactor pip requirements across the board Signed-off-by: Ben Alkov <ben.alkov@gmail.com> * fix name, version in setup.py Signed-off-by: Ben Alkov <ben.alkov@gmail.com> * Update notebooks for new requirements file changes Signed-off-by: Ben Alkov <ben.alkov@gmail.com>
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@ -40,57 +40,9 @@
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"outputs": [],
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"source": [
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"%%cmd\n",
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"git clone https://github.com/lstein/stable-diffusion.git"
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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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"%cd stable-diffusion"
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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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"%%writefile requirements.txt\n",
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"albumentations==0.4.3\n",
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"einops==0.3.0\n",
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"huggingface-hub==0.8.1\n",
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"imageio-ffmpeg==0.4.2\n",
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"imageio==2.9.0\n",
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"kornia==0.6.0\n",
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"# pip will resolve the version which matches torch\n",
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"numpy\n",
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"omegaconf==2.1.1\n",
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"opencv-python==4.6.0.66\n",
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"pillow==9.2.0\n",
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"pip>=22\n",
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"pudb==2019.2\n",
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"pytorch-lightning==1.4.2\n",
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"streamlit==1.12.0\n",
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"# \"CompVis/taming-transformers\" doesn't work\n",
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"# ldm\\models\\autoencoder.py\", line 6, in <module>\n",
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"# from taming.modules.vqvae.quantize import VectorQuantizer2 as VectorQuantizer\n",
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"# ModuleNotFoundError\n",
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"taming-transformers-rom1504==0.0.6\n",
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"test-tube>=0.7.5\n",
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"torch-fidelity==0.3.0\n",
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"torchmetrics==0.6.0\n",
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"transformers==4.19.2\n",
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"git+https://github.com/openai/CLIP.git@main#egg=clip\n",
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"git+https://github.com/lstein/k-diffusion.git@master#egg=k-diffusion\n",
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"# No CUDA in PyPi builds\n",
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"--extra-index-url https://download.pytorch.org/whl/cu113 --trusted-host https://download.pytorch.org\n",
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"torch==1.11.0\n",
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"# Same as numpy - let pip do its thing\n",
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"torchvision\n",
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"-e .\n"
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"git clone https://github.com/lstein/stable-diffusion.git\n",
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"cd /content/stable-diffusion/\n",
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"git checkout --quiet development"
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]
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},
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{
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@ -100,14 +52,14 @@
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"outputs": [],
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"source": [
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"%%cmd\n",
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"pew new --python 3.10 -r requirements.txt --dont-activate ldm"
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"pew new --python 3.10 -r requirements-lin-win-colab-CUDA.txt --dont-activate stable-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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"# Switch the notebook kernel to the new 'ldm' environment!\n",
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"# Switch the notebook kernel to the new 'stable-diffusion' environment!\n",
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"\n",
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"## VSCode: restart VSCode and come back to this cell\n",
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"\n",
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@ -115,7 +67,7 @@
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"1. Type \"Select Interpreter\" and select \"Jupyter: Select Interpreter to Start Jupyter Server\"\n",
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"1. VSCode will say that it needs to install packages. Click the \"Install\" button.\n",
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"1. Once the install is finished, do 1 & 2 again\n",
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"1. Pick 'ldm'\n",
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"1. Pick 'stable-diffusion'\n",
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"1. Run the following cell"
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]
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},
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@ -136,7 +88,7 @@
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"## Jupyter/JupyterLab\n",
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"\n",
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"1. Run the cell below\n",
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"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"
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"1. Click on the toolbar where it says \"(ipyknel)\" ↗️. You should get a pop-up asking you to \"Select Kernel\". Pick 'stable-diffusion' from the drop-down.\n"
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]
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},
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{
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@ -154,9 +106,9 @@
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"source": [
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"# DO NOT RUN THIS CELL IF YOU ARE USING VSCODE!!\n",
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"%%cmd\n",
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"pew workon ldm\n",
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"pew workon stable-diffusion\n",
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"pip3 install ipykernel\n",
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"python -m ipykernel install --name=ldm"
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"python -m ipykernel install --name=stable-diffusion"
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]
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},
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{
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@ -231,7 +183,7 @@
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"Now:\n",
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"\n",
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"1. `cd` to wherever the 'stable-diffusion' directory is\n",
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"1. Run `pew workon ldm`\n",
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"1. Run `pew workon stable-diffusion`\n",
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"1. Run `winpty python scripts\\dream.py`"
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]
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}
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@ -1,27 +1,12 @@
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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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"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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"metadata": {
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"id": "ycYWcsEKc6w7"
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},
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"source": [
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"# Stable Diffusion AI Notebook (Release 1.13)\n",
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"# Stable Diffusion AI Notebook (Release 1.14)\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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@ -35,33 +20,30 @@
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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 #7\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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{
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"cell_type": "markdown",
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"source": [
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"## ◢ Installation"
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],
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"metadata": {
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"id": "dr32VLxlnouf"
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}
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},
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"source": [
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"## ◢ Installation"
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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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"execution_count": null,
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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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"outputs": [],
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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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},
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{
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"cell_type": "code",
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@ -75,90 +57,91 @@
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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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" %cd /content/stable-diffusion/\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 /content/stable-diffusion/\n",
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" !git checkout --quiet tags/release-1.13"
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"!git clone --quiet https://github.com/lstein/stable-diffusion.git # Original repo\n",
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"%cd /content/stable-diffusion/\n",
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"!git checkout --quiet tags/release-1.14.1"
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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 dependencies\n",
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"import gc\n",
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"\n",
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"if exists(\"/content/stable-diffusion/requirements-colab.txt\")==True:\n",
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" %cd /content/stable-diffusion/\n",
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" print(\"Already downloaded requirements file\")\n",
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"else:\n",
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" !wget https://raw.githubusercontent.com/lstein/stable-diffusion/development/requirements-colab.txt\n",
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"!pip install colab-xterm\n",
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"!pip install -r requirements-colab.txt\n",
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"gc.collect()"
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],
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"execution_count": null,
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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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"outputs": [],
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"source": [
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"#@title 4. Load small ML models required\n",
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"%cd /content/stable-diffusion/\n",
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"!python scripts/preload_models.py\n",
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"#@title 3. Install dependencies\n",
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"import gc\n",
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"\n",
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"!wget https://raw.githubusercontent.com/lstein/stable-diffusion/development/requirements.txt\n",
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"!wget https://raw.githubusercontent.com/lstein/stable-diffusion/development/requirements-lin-win-colab-CUDA.txt\n",
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"!pip install colab-xterm\n",
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"!pip install -r requirements-lin-win-colab-CUDA.txt\n",
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"!pip install clean-fid torchtext\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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{
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"cell_type": "code",
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"source": [
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"#@title 5. Restart Runtime\n",
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"exit()"
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],
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"execution_count": null,
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"metadata": {
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"cellView": "form",
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"id": "8rSMhgnAttQa"
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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": "markdown",
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"outputs": [],
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"source": [
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"## ◢ Configuration"
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],
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"metadata": {
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"id": "795x1tMoo8b1"
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}
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"#@title 4. Restart Runtime\n",
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"exit()"
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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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"cellView": "form",
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"id": "ChIDWxLVHGGJ"
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},
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"outputs": [],
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"source": [
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"#@title 6. 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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"#@title 5. Load small ML models required\n",
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"import gc\n",
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"%cd /content/stable-diffusion/\n",
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"!python scripts/preload_models.py\n",
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"gc.collect()"
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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": "795x1tMoo8b1"
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},
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"source": [
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"## ◢ Configuration"
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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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"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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"outputs": [],
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"source": [
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"#@title 6. 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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},
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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": "zRTJeZ461WGu"
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},
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"outputs": [],
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"source": [
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"#@title 7. 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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@ -167,20 +150,20 @@
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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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"if exists(model_path):\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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{
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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": "UY-NNz4I8_aG"
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},
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"outputs": [],
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"source": [
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"#@title 8. Symlink to model\n",
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"\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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"if exists(\"/content/stable-diffusion/models/ldm/stable-diffusion-v1\"):\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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"if exists(\"/content/stable-diffusion/models/ldm/stable-diffusion-v1/model.ckpt\"):\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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{
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"cell_type": "markdown",
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"source": [
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"## ◢ Execution"
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],
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"metadata": {
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"id": "Mc28N0_NrCQH"
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}
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},
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"source": [
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"## ◢ Execution"
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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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"cellView": "form",
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"id": "ir4hCrMIuUpl"
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},
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"outputs": [],
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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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@ -229,24 +212,21 @@
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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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"import gc\n",
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"%cd /content/stable-diffusion/\n",
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"%load_ext colabxterm\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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{
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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": "qnLohSHmKoGk"
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},
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"outputs": [],
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"source": [
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||||
"#@title 10. Show the last 15 generated images\n",
|
||||
"import gc\n",
|
||||
"import glob\n",
|
||||
"import matplotlib.pyplot as plt\n",
|
||||
"import matplotlib.image as mpimg\n",
|
||||
@ -269,13 +249,25 @@
|
||||
" plt.imshow(image)\n",
|
||||
" gc.collect()\n",
|
||||
"\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"metadata": {
|
||||
"cellView": "form",
|
||||
"id": "qnLohSHmKoGk"
|
||||
"accelerator": "GPU",
|
||||
"colab": {
|
||||
"collapsed_sections": [],
|
||||
"private_outputs": true,
|
||||
"provenance": []
|
||||
},
|
||||
"execution_count": null,
|
||||
"outputs": []
|
||||
"gpuClass": "standard",
|
||||
"kernelspec": {
|
||||
"display_name": "Python 3",
|
||||
"name": "python3"
|
||||
},
|
||||
"language_info": {
|
||||
"name": "python"
|
||||
}
|
||||
]
|
||||
},
|
||||
"nbformat": 4,
|
||||
"nbformat_minor": 0
|
||||
}
|
||||
|
@ -1,26 +0,0 @@
|
||||
albumentations==0.4.3
|
||||
clean-fid==0.1.29
|
||||
einops==0.3.0
|
||||
huggingface-hub==0.8.1
|
||||
imageio-ffmpeg==0.4.2
|
||||
imageio==2.9.0
|
||||
kornia==0.6.0
|
||||
numpy==1.21.6
|
||||
omegaconf==2.1.1
|
||||
opencv-python==4.6.0.66
|
||||
pillow==9.2.0
|
||||
pip>=22
|
||||
pudb==2019.2
|
||||
pytorch-lightning==1.4.2
|
||||
streamlit==1.12.0
|
||||
taming-transformers-rom1504==0.0.6
|
||||
test-tube>=0.7.5
|
||||
torch-fidelity==0.3.0
|
||||
torchmetrics==0.6.0
|
||||
torchtext==0.6.0
|
||||
transformers==4.19.2
|
||||
torch==1.12.1+cu113
|
||||
torchvision==0.13.1+cu113
|
||||
git+https://github.com/openai/CLIP.git@main#egg=clip
|
||||
git+https://github.com/lstein/k-diffusion.git@master#egg=k-diffusion
|
||||
-e .
|
7
requirements-lin-AMD.txt
Normal file
7
requirements-lin-AMD.txt
Normal file
@ -0,0 +1,7 @@
|
||||
-r requirements.txt
|
||||
|
||||
# Get hardware-appropriate torch/torchvision
|
||||
--extra-index-url https://download.pytorch.org/whl/rocm5.1.1 --trusted-host https://download.pytorch.org
|
||||
torch
|
||||
torchvision
|
||||
-e .
|
7
requirements-lin-win-colab-CUDA.txt
Normal file
7
requirements-lin-win-colab-CUDA.txt
Normal file
@ -0,0 +1,7 @@
|
||||
-r requirements.txt
|
||||
|
||||
# Get hardware-appropriate torch/torchvision
|
||||
--extra-index-url https://download.pytorch.org/whl/cu116 --trusted-host https://download.pytorch.org
|
||||
torch
|
||||
torchvision
|
||||
-e .
|
@ -1,33 +0,0 @@
|
||||
albumentations==0.4.3
|
||||
einops==0.3.0
|
||||
huggingface-hub==0.8.1
|
||||
imageio-ffmpeg==0.4.2
|
||||
imageio==2.9.0
|
||||
kornia==0.6.0
|
||||
# pip will resolve the version which matches torch
|
||||
numpy
|
||||
omegaconf==2.1.1
|
||||
opencv-python==4.6.0.66
|
||||
pillow==9.2.0
|
||||
pip>=22
|
||||
pudb==2019.2
|
||||
pytorch-lightning==1.4.2
|
||||
streamlit==1.12.0
|
||||
# "CompVis/taming-transformers" doesn't work
|
||||
# ldm\models\autoencoder.py", line 6, in <module>
|
||||
# from taming.modules.vqvae.quantize import VectorQuantizer2 as VectorQuantizer
|
||||
# ModuleNotFoundError
|
||||
taming-transformers-rom1504==0.0.6
|
||||
test-tube>=0.7.5
|
||||
torch-fidelity==0.3.0
|
||||
torchmetrics==0.6.0
|
||||
transformers==4.19.2
|
||||
git+https://github.com/openai/CLIP.git@main#egg=clip
|
||||
git+https://github.com/lstein/k-diffusion.git@master#egg=k-diffusion
|
||||
git+https://github.com/lstein/GFPGAN@fix-dark-cast-images#egg=gfpgan
|
||||
# No CUDA in PyPi builds
|
||||
--extra-index-url https://download.pytorch.org/whl/cu113 --trusted-host https://download.pytorch.org
|
||||
torch==1.11.0
|
||||
# Same as numpy - let pip do its thing
|
||||
torchvision
|
||||
-e .
|
8
requirements-mac-MPS-CPU.txt
Normal file
8
requirements-mac-MPS-CPU.txt
Normal file
@ -0,0 +1,8 @@
|
||||
-r requirements.txt
|
||||
|
||||
--pre
|
||||
--extra-index-url https://download.pytorch.org/whl/nightly/cpu --trusted-host https://download.pytorch.org
|
||||
|
||||
torch
|
||||
torchvision
|
||||
-e .
|
@ -1,24 +0,0 @@
|
||||
albumentations==0.4.3
|
||||
einops==0.3.0
|
||||
huggingface-hub==0.8.1
|
||||
imageio==2.9.0
|
||||
imageio-ffmpeg==0.4.2
|
||||
kornia==0.6.0
|
||||
numpy==1.23.1
|
||||
--pre torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/nightly/cpu
|
||||
omegaconf==2.1.1
|
||||
opencv-python==4.6.0.66
|
||||
pillow==9.2.0
|
||||
pudb==2019.2
|
||||
torch==1.12.1
|
||||
torchvision==0.13.0
|
||||
pytorch-lightning==1.4.2
|
||||
streamlit==1.12.0
|
||||
test-tube>=0.7.5
|
||||
torch-fidelity==0.3.0
|
||||
torchmetrics==0.6.0
|
||||
transformers==4.19.2
|
||||
-e git+https://github.com/openai/CLIP.git@main#egg=clip
|
||||
-e git+https://github.com/CompVis/taming-transformers.git@master#egg=taming-transformers
|
||||
-e git+https://github.com/Birch-san/k-diffusion.git@mps#egg=k-diffusion
|
||||
-e git+https://github.com/lstein/GFPGAN@fix-dark-cast-images#egg=gfpgan
|
@ -1,33 +0,0 @@
|
||||
albumentations==0.4.3
|
||||
einops==0.3.0
|
||||
huggingface-hub==0.8.1
|
||||
imageio-ffmpeg==0.4.2
|
||||
imageio==2.9.0
|
||||
kornia==0.6.0
|
||||
# pip will resolve the version which matches torch
|
||||
numpy
|
||||
omegaconf==2.1.1
|
||||
opencv-python==4.6.0.66
|
||||
pillow==9.2.0
|
||||
pip>=22
|
||||
pudb==2019.2
|
||||
pytorch-lightning==1.4.2
|
||||
streamlit==1.12.0
|
||||
# "CompVis/taming-transformers" doesn't work
|
||||
# ldm\models\autoencoder.py", line 6, in <module>
|
||||
# from taming.modules.vqvae.quantize import VectorQuantizer2 as VectorQuantizer
|
||||
# ModuleNotFoundError
|
||||
taming-transformers-rom1504==0.0.6
|
||||
test-tube>=0.7.5
|
||||
torch-fidelity==0.3.0
|
||||
torchmetrics==0.6.0
|
||||
transformers==4.19.2
|
||||
git+https://github.com/openai/CLIP.git@main#egg=clip
|
||||
git+https://github.com/lstein/k-diffusion.git@master#egg=k-diffusion
|
||||
git+https://github.com/lstein/GFPGAN@fix-dark-cast-images#egg=gfpgan
|
||||
# No CUDA in PyPi builds
|
||||
--extra-index-url https://download.pytorch.org/whl/cu113 --trusted-host https://download.pytorch.org
|
||||
torch==1.11.0
|
||||
# Same as numpy - let pip do its thing
|
||||
torchvision
|
||||
-e .
|
27
requirements.txt
Normal file
27
requirements.txt
Normal file
@ -0,0 +1,27 @@
|
||||
--prefer-binary
|
||||
|
||||
albumentations
|
||||
einops
|
||||
huggingface-hub
|
||||
imageio-ffmpeg
|
||||
imageio
|
||||
kornia
|
||||
# pip will resolve the version which matches torch
|
||||
numpy
|
||||
omegaconf
|
||||
opencv-python
|
||||
pillow
|
||||
pip>=22
|
||||
pudb
|
||||
pytorch-lightning
|
||||
streamlit
|
||||
# "CompVis/taming-transformers" IS NOT INSTALLABLE
|
||||
# This is a drop-in replacement
|
||||
taming-transformers-rom1504
|
||||
test-tube
|
||||
torch-fidelity
|
||||
torchmetrics
|
||||
transformers
|
||||
git+https://github.com/openai/CLIP.git@main#egg=clip
|
||||
git+https://github.com/Birch-san/k-diffusion.git@mps#egg=k-diffusion
|
||||
git+https://github.com/lstein/GFPGAN@fix-dark-cast-images#egg=gfpgan
|
Loading…
Reference in New Issue
Block a user