JBC

Installing Stable Diffusion on my 2016 Desktop Computer

stable-diffusion ๐Ÿท๏ธ
gpu ๐Ÿท๏ธ
ai ๐Ÿท๏ธ

derniรจre mise ร  jour le 8 janvier 2023

โš ๏ธ This article is a draft and is not yet complete. โš ๏ธ

This article will be me trying to install Stable Diffusion on my computer as fast as possible. I built my desktop computer 5 years ago, and I want to see how well it can run stable diffusion.

Computer Specs

CPU

$ lscpu
Architecture:                    x86_64
CPU op-mode(s):                  32-bit, 64-bit
Byte Order:                      Little Endian
Address sizes:                   39 bits physical, 48 bits virtual
CPU(s):                          8
On-line CPU(s) list:             0-7
Thread(s) per core:              2
Core(s) per socket:              4
Socket(s):                       1
Vendor ID:                       GenuineIntel
CPU family:                      6
Model:                           94
Model name:                      Intel(R) Core(TM) i7-6700K CPU @ 4.00GHz
Stepping:                        3
CPU MHz:                         4008.000
BogoMIPS:                        8016.00
Hypervisor vendor:               Microsoft
Virtualization type:             full
L1d cache:                       128 KiB
L1i cache:                       128 KiB
L2 cache:                        1 MiB
L3 cache:                        8 MiB

GPU

$ nvidia-smi -L
GPU 0: NVIDIA GeForce GTX 1080 (UUID: GPU-a4668849-8693-dced-f317-c7af17e8c6ee)
$ nvidia-smi
Sun Jan  8 22:11:06 2023
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 525.65       Driver Version: 527.37       CUDA Version: 12.0     |
|-------------------------------+----------------------+----------------------+
| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
|                               |                      |               MIG M. |
|===============================+======================+======================|
|   0  NVIDIA GeForce ...  On   | 00000000:01:00.0  On |                  N/A |
| 28%   32C    P0    39W / 172W |   2319MiB /  8192MiB |      0%      Default |
|                               |                      |                  N/A |
+-------------------------------+----------------------+----------------------+

+-----------------------------------------------------------------------------+
| Processes:                                                                  |
|  GPU   GI   CI        PID   Type   Process name                  GPU Memory |
|        ID   ID                                                   Usage      |
|=============================================================================|
|  No running processes found                                                 |
+-----------------------------------------------------------------------------+

Invoke AI

This looks like a good fork that serves as the basis for many commercial products. It has over 9K stars on GitHub and it includes a Web UI, as well as an automatic installation script.

https://invoke-ai.github.io/InvokeAI/installation/

InvokeAI Automated Installation

Introduction

The automated installer is a shell script that attempts to automate every step needed to install and run InvokeAI on a stock computer running recent versions of Linux, MacOS or Windows. It will leave you with a version that runs a stable version of InvokeAI with the option to upgrade to experimental versions later.

Hardware Requirements

https://invoke-ai.github.io/InvokeAI/#hardware-requirements

Installation requires roughly 18G of free disk space to load the libraries and recommended model weights files.

Regardless of your destination disk, your system drive (C:\ on Windows, / on macOS/Linux) requires at least 6GB of free disk space to download and cache python dependencies. NOTE for Linux users: if your temporary directory is mounted as a tmpfs, ensure it has sufficient space.

C:\Users\Brian>dir|find "bytes free"
              45 Dir(s)  23,610,232,832 bytes free (23GB)

C:\Users\Brian>dir d:|find "bytes free"
              17 Dir(s)  258,141,052,928 bytes free (258)

Python version

C:\Users\Brian>python --version
Python 3.9.5

https://learn.microsoft.com/en-us/cpp/windows/deploying-native-desktop-applications-visual-cpp?view=msvc-170

This script will install InvokeAI and its dependencies.

BEFORE YOU START PLEASE MAKE SURE TO DO THE FOLLOWING
1. Install python 3.9 or higher.
2. Double-click on the file WinLongPathsEnabled.reg in order to
   enable long path support on your system.
3. Install the Visual C++ core libraries.
   Pleaase download and install the libraries from:
   https://learn.microsoft.com/en-US/cpp/windows/latest-supported-vc-redist?view=msvc-170

See https://invoke-ai.github.io/InvokeAI/installation/INSTALL_AUTOMATED/ for more details.

Press any key to continue . . .
***** Checking and Updating Python *****

Setting up requirements file for your system.
        1 file(s) copied.
Select the path to install InvokeAI's directory into [C:\Users\Brian]: D:\InvokeAI
You have chosen to install InvokeAI into "D:\InvokeAI\invokeai". OK? [Y/n]:

...

Collecting k-diffusion
  Downloading https://github.com/Birch-san/k-diffusion/archive/refs/heads/mps.zip (38 kB)
  Installing build dependencies ... done
  Getting requirements to build wheel ... done
  Installing backend dependencies ... done
    Preparing wheel metadata ... done
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Collecting numpy==1.23.*
  Downloading numpy-1.23.5-cp39-cp39-win_amd64.whl (14.7 MB)
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Collecting picklescan
  Downloading picklescan-0.0.7-py3-none-any.whl (10 kB)
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  Downloading Pillow-9.4.0-cp39-cp39-win_amd64.whl (2.5 MB)
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  Downloading pyreadline3-3.4.1-py3-none-any.whl (95 kB)
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     |โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ               | 1266.9 MB 6.8 MB/s eta 0:02:45

This script will install InvokeAI and its dependencies.

BEFORE YOU START PLEASE MAKE SURE TO DO THE FOLLOWING
1. Install python 3.9 or higher.
2. Double-click on the file WinLongPathsEnabled.reg in order to
   enable long path support on your system.
3. Install the Visual C++ core libraries.
   Pleaase download and install the libraries from:
   https://learn.microsoft.com/en-US/cpp/windows/latest-supported-vc-redist?view=msvc-170

See https://invoke-ai.github.io/InvokeAI/installation/INSTALL_AUTOMATED/ for more details.

Press any key to continue . . .
***** Checking and Updating Python *****

Setting up requirements file for your system.
        1 file(s) copied.
Select the path to install InvokeAI's directory into [C:\Users\Brian]: D:\InvokeAI
You have chosen to install InvokeAI into "D:\InvokeAI\invokeai". OK? [Y/n]:

*** Creating Runtime Directory D:\InvokeAI\invokeai ***
Successful.

** Creating Virtual Environment for InvokeAI **
Successful.

*** Installing InvokeAI Requirements ***
Activating environment
updating pip with "D:\InvokeAI\invokeai\.venv\Scripts\python"
Looking in links: c:\Users\Brian\AppData\Local\Temp\tmp6cex7v5c
Requirement already satisfied: setuptools in d:\invokeai\invokeai\.venv\lib\site-packages (56.0.0)
Requirement already satisfied: pip in d:\invokeai\invokeai\.venv\lib\site-packages (21.1.1)
adding trusted host: 'https://download.pytorch.org' (from line 3 of requirements.txt)
Looking in indexes: https://pypi.org/simple, https://download.pytorch.org/whl/cu116
Collecting k-diffusion
  Downloading https://github.com/Birch-san/k-diffusion/archive/refs/heads/mps.zip (38 kB)
  Installing build dependencies ... done
  Getting requirements to build wheel ... done
  Installing backend dependencies ... done
    Preparing wheel metadata ... done
Collecting pypatchmatch
  Downloading https://github.com/invoke-ai/PyPatchMatch/archive/refs/tags/0.1.5.zip (19 kB)
Collecting clip
  Downloading https://github.com/openai/CLIP/archive/eaa22acb90a5876642d0507623e859909230a52d.zip (4.3 MB)
     |โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 4.3 MB 6.8 MB/s
Collecting clipseg
  Downloading https://github.com/invoke-ai/clipseg/archive/relaxed-python-requirement.zip
     / 1.4 MB ...
Collecting albumentations
  Downloading albumentations-1.3.0-py3-none-any.whl (123 kB)
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Collecting diffusers==0.10.*
  Downloading diffusers-0.10.2-py3-none-any.whl (503 kB)
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Collecting einops
  Downloading einops-0.6.0-py3-none-any.whl (41 kB)
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Collecting eventlet
  Downloading eventlet-0.33.2-py2.py3-none-any.whl (226 kB)
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Collecting facexlib
  Downloading facexlib-0.2.5-py3-none-any.whl (59 kB)
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Collecting flask==2.1.3
  Downloading Flask-2.1.3-py3-none-any.whl (95 kB)
     |โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 95 kB 6.4 MB/s
Collecting flask_cors==3.0.10
  Downloading Flask_Cors-3.0.10-py2.py3-none-any.whl (14 kB)
Collecting flask_socketio==5.3.0
  Downloading Flask_SocketIO-5.3.0-py3-none-any.whl (17 kB)
Collecting flaskwebgui==1.0.3
  Downloading flaskwebgui-1.0.3-py3-none-any.whl (6.7 kB)
Collecting getpass_asterisk
  Downloading getpass_asterisk-1.0.1-py3-none-any.whl (6.8 kB)
Collecting gfpgan==1.3.8
  Downloading gfpgan-1.3.8-py3-none-any.whl (52 kB)
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Collecting huggingface-hub
  Downloading huggingface_hub-0.11.1-py3-none-any.whl (182 kB)
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Collecting imageio
  Downloading imageio-2.24.0-py3-none-any.whl (3.4 MB)
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Collecting imageio-ffmpeg
  Downloading imageio_ffmpeg-0.4.7-py3-none-win_amd64.whl (22.6 MB)
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Collecting kornia
  Downloading kornia-0.6.9-py2.py3-none-any.whl (569 kB)
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Collecting numpy==1.23.*
  Downloading numpy-1.23.5-cp39-cp39-win_amd64.whl (14.7 MB)
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Collecting omegaconf
  Downloading omegaconf-2.3.0-py3-none-any.whl (79 kB)
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Collecting opencv-python
  Downloading opencv_python-4.7.0.68-cp37-abi3-win_amd64.whl (38.2 MB)
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Collecting picklescan
  Downloading picklescan-0.0.7-py3-none-any.whl (10 kB)
Collecting pillow
  Downloading Pillow-9.4.0-cp39-cp39-win_amd64.whl (2.5 MB)
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Collecting pip>=22
  Downloading pip-22.3.1-py3-none-any.whl (2.1 MB)
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Collecting pudb
  Downloading pudb-2014.1-py2.py3-none-any.whl (49 kB)
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Collecting pyreadline3
  Downloading pyreadline3-3.4.1-py3-none-any.whl (95 kB)
     |โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 95 kB 6.4 MB/s
Collecting pytorch-lightning==1.7.7
  Downloading pytorch_lightning-1.7.7-py3-none-any.whl (708 kB)
     |โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 708 kB 6.8 MB/s
Collecting realesrgan
  Downloading realesrgan-0.3.0-py3-none-any.whl (26 kB)
Collecting requests==2.25.1
  Downloading requests-2.25.1-py2.py3-none-any.whl (61 kB)
     |โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 61 kB ...
Collecting scikit-image>=0.19
  Downloading scikit_image-0.19.3-cp39-cp39-win_amd64.whl (12.1 MB)
     |โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 12.1 MB 6.4 MB/s
Collecting send2trash
  Downloading Send2Trash-1.8.0-py3-none-any.whl (18 kB)
Collecting streamlit
  Downloading streamlit-1.16.0-py2.py3-none-any.whl (9.2 MB)
     |โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 9.2 MB ...
Collecting taming-transformers-rom1504
  Downloading taming_transformers_rom1504-0.0.6-py3-none-any.whl (51 kB)
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Collecting test-tube>=0.7.5
  Downloading test_tube-0.7.5.tar.gz (21 kB)
Collecting torch-fidelity
  Downloading torch_fidelity-0.3.0-py3-none-any.whl (37 kB)
Collecting torchmetrics
  Downloading torchmetrics-0.11.0-py3-none-any.whl (512 kB)
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Collecting transformers==4.25.*
  Downloading transformers-4.25.1-py3-none-any.whl (5.8 MB)
     |โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 5.8 MB ...
Collecting torch==1.12.1
  Downloading https://download.pytorch.org/whl/cu116/torch-1.12.1%2Bcu116-cp39-cp39-win_amd64.whl (2388.0 MB)
     |โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 2388.0 MB 2.4 kB/s
Collecting torchvision==0.13.1
  Downloading https://download.pytorch.org/whl/cu116/torchvision-0.13.1%2Bcu116-cp39-cp39-win_amd64.whl (2.6 MB)
     |โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 2.6 MB ...
Collecting tqdm
  Downloading tqdm-4.64.1-py2.py3-none-any.whl (78 kB)
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Collecting accelerate
  Downloading accelerate-0.15.0-py3-none-any.whl (191 kB)
     |โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 191 kB ...
Collecting scipy
  Downloading scipy-1.10.0-cp39-cp39-win_amd64.whl (42.5 MB)
     |โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 42.5 MB 109 kB/s
Collecting torchsde
  Downloading torchsde-0.2.5-py3-none-any.whl (59 kB)
     |โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 59 kB 3.0 MB/s
Collecting torchdiffeq
  Downloading torchdiffeq-0.2.3-py3-none-any.whl (31 kB)
Collecting jsonmerge
  Downloading jsonmerge-1.9.0.tar.gz (32 kB)
Collecting clean-fid
  Downloading clean_fid-0.1.35-py3-none-any.whl (26 kB)
Collecting resize-right
  Downloading resize_right-0.0.2-py3-none-any.whl (8.9 kB)
Collecting wandb
  Downloading wandb-0.13.7-py2.py3-none-any.whl (1.9 MB)
     |โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 1.9 MB 6.4 MB/s
Collecting ftfy
  Downloading ftfy-6.1.1-py3-none-any.whl (53 kB)
     |โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 53 kB 711 kB/s
Collecting regex
  Downloading regex-2022.10.31-cp39-cp39-win_amd64.whl (267 kB)
     |โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 267 kB ...
Collecting matplotlib
  Downloading matplotlib-3.6.2-cp39-cp39-win_amd64.whl (7.2 MB)
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Collecting filelock
  Downloading filelock-3.9.0-py3-none-any.whl (9.7 kB)
Collecting importlib-metadata
  Downloading importlib_metadata-6.0.0-py3-none-any.whl (21 kB)
Collecting itsdangerous>=2.0
  Downloading itsdangerous-2.1.2-py3-none-any.whl (15 kB)
Collecting Jinja2>=3.0
  Downloading Jinja2-3.1.2-py3-none-any.whl (133 kB)
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Collecting Werkzeug>=2.0
  Downloading Werkzeug-2.2.2-py3-none-any.whl (232 kB)
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Collecting click>=8.0
  Downloading click-8.1.3-py3-none-any.whl (96 kB)
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Collecting Six
  Using cached six-1.16.0-py2.py3-none-any.whl (11 kB)
Collecting python-socketio>=5.0.2
  Downloading python_socketio-5.7.2-py3-none-any.whl (56 kB)
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Collecting psutil==5.9.4
  Downloading psutil-5.9.4-cp36-abi3-win_amd64.whl (252 kB)
     |โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 252 kB ...
Collecting lmdb
  Downloading lmdb-1.4.0-cp39-cp39-win_amd64.whl (105 kB)
     |โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 105 kB ...
Collecting pyyaml
  Downloading PyYAML-6.0-cp39-cp39-win_amd64.whl (151 kB)
     |โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 151 kB ...
Collecting basicsr>=1.4.2
  Downloading basicsr-1.4.2.tar.gz (172 kB)
     |โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 172 kB 6.8 MB/s
Collecting yapf
  Downloading yapf-0.32.0-py2.py3-none-any.whl (190 kB)
     |โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 190 kB 6.4 MB/s
Collecting tb-nightly
  Downloading tb_nightly-2.12.0a20230107-py3-none-any.whl (5.7 MB)
     |โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 5.7 MB ...
Collecting pyDeprecate>=0.3.1
  Downloading pyDeprecate-0.3.2-py3-none-any.whl (10 kB)
Collecting typing-extensions>=4.0.0
  Using cached typing_extensions-4.4.0-py3-none-any.whl (26 kB)
Collecting tensorboard>=2.9.1
  Downloading tensorboard-2.11.0-py3-none-any.whl (6.0 MB)
     |โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 6.0 MB 6.4 MB/s
Collecting fsspec[http]!=2021.06.0,>=2021.05.0
  Downloading fsspec-2022.11.0-py3-none-any.whl (139 kB)
     |โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 139 kB ...
Collecting packaging>=17.0
  Downloading packaging-23.0-py3-none-any.whl (42 kB)
     |โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 42 kB 572 kB/s
Collecting certifi>=2017.4.17
  Downloading certifi-2022.12.7-py3-none-any.whl (155 kB)
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Collecting chardet<5,>=3.0.2
  Downloading chardet-4.0.0-py2.py3-none-any.whl (178 kB)
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Collecting urllib3<1.27,>=1.21.1
  Downloading urllib3-1.26.13-py2.py3-none-any.whl (140 kB)
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Collecting idna<3,>=2.5
  Downloading idna-2.10-py2.py3-none-any.whl (58 kB)
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Collecting tokenizers!=0.11.3,<0.14,>=0.11.1
  Downloading tokenizers-0.13.2-cp39-cp39-win_amd64.whl (3.3 MB)
     |โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 3.3 MB 6.4 MB/s
Collecting filterpy
  Downloading filterpy-1.4.5.zip (177 kB)
     |โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 177 kB ...
Collecting numba
  Downloading numba-0.56.4-cp39-cp39-win_amd64.whl (2.5 MB)
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Collecting tifffile>=2019.7.26
  Downloading tifffile-2022.10.10-py3-none-any.whl (210 kB)
     |โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 210 kB ...
Collecting PyWavelets>=1.1.1
  Downloading PyWavelets-1.4.1-cp39-cp39-win_amd64.whl (4.2 MB)
     |โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 4.2 MB ...
Collecting networkx>=2.2
  Downloading networkx-3.0-py3-none-any.whl (2.0 MB)
     |โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 2.0 MB 6.8 MB/s
Collecting pandas>=0.20.3
  Downloading pandas-1.5.2-cp39-cp39-win_amd64.whl (10.9 MB)
     |โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 10.9 MB 6.4 MB/s
Collecting future
  Downloading future-0.18.2.tar.gz (829 kB)
     |โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 829 kB ...
Collecting addict
  Downloading addict-2.4.0-py3-none-any.whl (3.8 kB)
Collecting colorama
  Downloading colorama-0.4.6-py2.py3-none-any.whl (25 kB)
Collecting aiohttp!=4.0.0a0,!=4.0.0a1
  Downloading aiohttp-3.8.3-cp39-cp39-win_amd64.whl (323 kB)
     |โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 323 kB ...
Collecting multidict<7.0,>=4.5
  Downloading multidict-6.0.4-cp39-cp39-win_amd64.whl (28 kB)
Collecting frozenlist>=1.1.1
  Downloading frozenlist-1.3.3-cp39-cp39-win_amd64.whl (34 kB)
Collecting attrs>=17.3.0
  Downloading attrs-22.2.0-py3-none-any.whl (60 kB)
     |โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 60 kB 3.5 MB/s
Collecting charset-normalizer<3.0,>=2.0
  Downloading charset_normalizer-2.1.1-py3-none-any.whl (39 kB)
Collecting yarl<2.0,>=1.0
  Downloading yarl-1.8.2-cp39-cp39-win_amd64.whl (56 kB)
     |โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 56 kB 3.8 MB/s
Collecting async-timeout<5.0,>=4.0.0a3
  Downloading async_timeout-4.0.2-py3-none-any.whl (5.8 kB)
Collecting aiosignal>=1.1.2
  Downloading aiosignal-1.3.1-py3-none-any.whl (7.6 kB)
Collecting zipp>=0.5
  Downloading zipp-3.11.0-py3-none-any.whl (6.6 kB)
Collecting MarkupSafe>=2.0
  Downloading MarkupSafe-2.1.1-cp39-cp39-win_amd64.whl (17 kB)
Collecting python-dateutil>=2.8.1
  Using cached python_dateutil-2.8.2-py2.py3-none-any.whl (247 kB)
Collecting pytz>=2020.1
  Downloading pytz-2022.7-py2.py3-none-any.whl (499 kB)
     |โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 499 kB ...
Collecting python-engineio>=4.3.0
  Downloading python_engineio-4.3.4-py3-none-any.whl (52 kB)
     |โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 52 kB 619 kB/s
Collecting bidict>=0.21.0
  Downloading bidict-0.22.1-py3-none-any.whl (35 kB)
Collecting google-auth-oauthlib<0.5,>=0.4.1
  Downloading google_auth_oauthlib-0.4.6-py2.py3-none-any.whl (18 kB)
Collecting markdown>=2.6.8
  Downloading Markdown-3.4.1-py3-none-any.whl (93 kB)
     |โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 93 kB 756 kB/s
Collecting google-auth<3,>=1.6.3
  Downloading google_auth-2.15.0-py2.py3-none-any.whl (177 kB)
     |โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 177 kB ...
Collecting wheel>=0.26
  Using cached wheel-0.38.4-py3-none-any.whl (36 kB)
Collecting tensorboard-data-server<0.7.0,>=0.6.0
  Downloading tensorboard_data_server-0.6.1-py3-none-any.whl (2.4 kB)
Collecting protobuf<4,>=3.9.2
  Downloading protobuf-3.20.3-cp39-cp39-win_amd64.whl (904 kB)
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Collecting absl-py>=0.4
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Collecting tensorboard-plugin-wit>=1.6.0
  Downloading tensorboard_plugin_wit-1.8.1-py3-none-any.whl (781 kB)
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Requirement already satisfied: setuptools>=41.0.0 in d:\invokeai\invokeai\.venv\lib\site-packages (from tensorboard>=2.9.1->pytorch-lightning==1.7.7->-r environments-and-requirements/requirements-base.txt (line 25)) (56.0.0)
Collecting grpcio>=1.24.3
  Downloading grpcio-1.51.1-cp39-cp39-win_amd64.whl (3.7 MB)
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Collecting pyasn1-modules>=0.2.1
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Collecting cachetools<6.0,>=2.0.0
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Collecting rsa<5,>=3.1.4
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Collecting requests-oauthlib>=0.7.0
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Collecting pyasn1<0.5.0,>=0.4.6
  Downloading pyasn1-0.4.8-py2.py3-none-any.whl (77 kB)
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Collecting oauthlib>=3.0.0
  Downloading oauthlib-3.2.2-py3-none-any.whl (151 kB)
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Collecting opencv-python-headless>=4.1.1
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Collecting qudida>=0.0.4
  Downloading qudida-0.0.4-py3-none-any.whl (3.5 kB)
Collecting scikit-learn>=0.19.1
  Downloading scikit_learn-1.2.0-cp39-cp39-win_amd64.whl (8.3 MB)
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Collecting joblib>=1.1.1
  Downloading joblib-1.2.0-py3-none-any.whl (297 kB)
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Collecting threadpoolctl>=2.0.0
  Downloading threadpoolctl-3.1.0-py3-none-any.whl (14 kB)
Collecting greenlet>=0.3
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Collecting dnspython>=1.15.0
  Downloading dnspython-2.2.1-py3-none-any.whl (269 kB)
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Collecting antlr4-python3-runtime==4.9.*
  Downloading antlr4-python3-runtime-4.9.3.tar.gz (117 kB)
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Collecting pygments>=1.0
  Downloading Pygments-2.14.0-py3-none-any.whl (1.1 MB)
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Collecting urwid>=1.1.1
  Downloading urwid-2.1.2.tar.gz (634 kB)
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Collecting gitpython!=3.1.19
  Downloading GitPython-3.1.30-py3-none-any.whl (184 kB)
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Collecting pydeck>=0.1.dev5
  Downloading pydeck-0.8.0-py2.py3-none-any.whl (4.7 MB)
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Collecting blinker>=1.0.0
  Downloading blinker-1.5-py2.py3-none-any.whl (12 kB)
Collecting altair>=3.2.0
  Downloading altair-4.2.0-py3-none-any.whl (812 kB)
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Collecting semver
  Downloading semver-2.13.0-py2.py3-none-any.whl (12 kB)
Collecting tornado>=5.0
  Downloading tornado-6.2-cp37-abi3-win_amd64.whl (425 kB)
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Collecting pyarrow>=4.0
  Downloading pyarrow-10.0.1-cp39-cp39-win_amd64.whl (20.3 MB)
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Collecting toml
  Using cached toml-0.10.2-py2.py3-none-any.whl (16 kB)
Collecting rich>=10.11.0
  Downloading rich-13.0.1-py3-none-any.whl (238 kB)
     |โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 238 kB 6.8 MB/s
Collecting pympler>=0.9
  Downloading Pympler-1.0.1-py3-none-any.whl (164 kB)
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Collecting tzlocal>=1.1
  Downloading tzlocal-4.2-py3-none-any.whl (19 kB)
Collecting watchdog
  Downloading watchdog-2.2.1-py3-none-win_amd64.whl (78 kB)
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Collecting validators>=0.2
  Downloading validators-0.18.2-py3-none-any.whl (19 kB)
Collecting jsonschema>=3.0
  Downloading jsonschema-4.17.3-py3-none-any.whl (90 kB)
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Collecting toolz
  Downloading toolz-0.12.0-py3-none-any.whl (55 kB)
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Collecting entrypoints
  Downloading entrypoints-0.4-py3-none-any.whl (5.3 kB)
Collecting gitdb<5,>=4.0.1
  Downloading gitdb-4.0.10-py3-none-any.whl (62 kB)
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Collecting smmap<6,>=3.0.1
  Downloading smmap-5.0.0-py3-none-any.whl (24 kB)
Collecting pyrsistent!=0.17.0,!=0.17.1,!=0.17.2,>=0.14.0
  Downloading pyrsistent-0.19.3-cp39-cp39-win_amd64.whl (62 kB)
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Collecting commonmark<0.10.0,>=0.9.0
  Downloading commonmark-0.9.1-py2.py3-none-any.whl (51 kB)
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Collecting tzdata
  Downloading tzdata-2022.7-py2.py3-none-any.whl (340 kB)
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Collecting pytz-deprecation-shim
  Downloading pytz_deprecation_shim-0.1.0.post0-py2.py3-none-any.whl (15 kB)
Collecting decorator>=3.4.0
  Downloading decorator-5.1.1-py3-none-any.whl (9.1 kB)
Collecting wcwidth>=0.2.5
  Using cached wcwidth-0.2.5-py2.py3-none-any.whl (30 kB)
Collecting contourpy>=1.0.1
  Downloading contourpy-1.0.6-cp39-cp39-win_amd64.whl (161 kB)
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Collecting kiwisolver>=1.0.1
  Downloading kiwisolver-1.4.4-cp39-cp39-win_amd64.whl (55 kB)
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Collecting pyparsing>=2.2.1
  Downloading pyparsing-3.0.9-py3-none-any.whl (98 kB)
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Collecting fonttools>=4.22.0
  Downloading fonttools-4.38.0-py3-none-any.whl (965 kB)
     |โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 965 kB 6.4 MB/s
Collecting cycler>=0.10
  Downloading cycler-0.11.0-py3-none-any.whl (6.4 kB)
Collecting llvmlite<0.40,>=0.39.0dev0
  Downloading llvmlite-0.39.1-cp39-cp39-win_amd64.whl (23.2 MB)
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Collecting trampoline>=0.1.2
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Building wheels for collected packages: k-diffusion
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Installing collected packages: urllib3, pyasn1, idna, chardet, certifi, zipp, Six, rsa, requests, pyasn1-modules, oauthlib, numpy, cachetools, typing-extensions, requests-oauthlib, python-dateutil, pyparsing, pillow, packaging, multidict, MarkupSafe, kiwisolver, importlib-metadata, google-auth, frozenlist, fonttools, cycler, contourpy, yarl, wheel, Werkzeug, torch, tifffile, tensorboard-plugin-wit, tensorboard-data-server, smmap, scipy, PyWavelets, protobuf, networkx, matplotlib, markdown, llvmlite, imageio, grpcio, google-auth-oauthlib, colorama, charset-normalizer, attrs, async-timeout, aiosignal, absl-py, yapf, wcwidth, tzdata, tqdm, torchvision, threadpoolctl, tb-nightly, scikit-image, pyyaml, pytz, pyrsistent, opencv-python, numba, lmdb, joblib, gitdb, future, fsspec, filterpy, aiohttp, addict, trampoline, torchmetrics, toolz, tensorboard, shortuuid, setproctitle, sentry-sdk, scikit-learn, regex, pytz-deprecation-shim, python-engineio, pygments, pyDeprecate, psutil, promise, pathtools, pandas, opencv-python-headless, jsonschema, Jinja2, itsdangerous, gitpython, ftfy, filelock, facexlib, entrypoints, docker-pycreds, decorator, commonmark, click, boltons, bidict, basicsr, antlr4-python3-runtime, watchdog, wandb, validators, urwid, tzlocal, tornado, torchsde, torchdiffeq, toml, tokenizers, semver, rich, resize-right, qudida, pytorch-lightning, python-socketio, pympler, pydeck, pyarrow, omegaconf, kornia, jsonmerge, huggingface-hub, greenlet, gfpgan, flask, einops, dnspython, clip, clean-fid, blinker, altair, accelerate, transformers, torch-fidelity, test-tube, taming-transformers-rom1504, streamlit, send2trash, realesrgan, pyreadline3, pypatchmatch, pudb, pip, picklescan, k-diffusion, imageio-ffmpeg, getpass-asterisk, flaskwebgui, flask-socketio, flask-cors, eventlet, diffusers, clipseg, albumentations
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  Attempting uninstall: pip
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Successfully installed Jinja2-3.1.2 MarkupSafe-2.1.1 PyWavelets-1.4.1 Six-1.16.0 Werkzeug-2.2.2 absl-py-1.3.0 accelerate-0.15.0 addict-2.4.0 aiohttp-3.8.3 aiosignal-1.3.1 albumentations-1.3.0 altair-4.2.0 antlr4-python3-runtime-4.9.3 async-timeout-4.0.2 attrs-22.2.0 basicsr-1.4.2 bidict-0.22.1 blinker-1.5 boltons-21.0.0 cachetools-5.2.1 certifi-2022.12.7 chardet-4.0.0 charset-normalizer-2.1.1 clean-fid-0.1.35 click-8.1.3 clip-1.0 clipseg-0.0.1 colorama-0.4.6 commonmark-0.9.1 contourpy-1.0.6 cycler-0.11.0 decorator-5.1.1 diffusers-0.10.2 dnspython-2.2.1 docker-pycreds-0.4.0 einops-0.6.0 entrypoints-0.4 eventlet-0.33.2 facexlib-0.2.5 filelock-3.9.0 filterpy-1.4.5 flask-2.1.3 flask-cors-3.0.10 flask-socketio-5.3.0 flaskwebgui-1.0.3 fonttools-4.38.0 frozenlist-1.3.3 fsspec-2022.11.0 ftfy-6.1.1 future-0.18.2 getpass-asterisk-1.0.1 gfpgan-1.3.8 gitdb-4.0.10 gitpython-3.1.30 google-auth-2.15.0 google-auth-oauthlib-0.4.6 greenlet-2.0.1 grpcio-1.51.1 huggingface-hub-0.11.1 idna-2.10 imageio-2.24.0 imageio-ffmpeg-0.4.7 importlib-metadata-6.0.0 itsdangerous-2.1.2 joblib-1.2.0 jsonmerge-1.9.0 jsonschema-4.17.3 k-diffusion-0.0.1 kiwisolver-1.4.4 kornia-0.6.9 llvmlite-0.39.1 lmdb-1.4.0 markdown-3.4.1 matplotlib-3.6.2 multidict-6.0.4 networkx-3.0 numba-0.56.4 numpy-1.23.5 oauthlib-3.2.2 omegaconf-2.3.0 opencv-python-4.7.0.68 opencv-python-headless-4.7.0.68 packaging-23.0 pandas-1.5.2 pathtools-0.1.2 picklescan-0.0.7 pillow-9.4.0 pip-22.3.1 promise-2.3 protobuf-3.20.3 psutil-5.9.4 pudb-2014.1 pyDeprecate-0.3.2 pyarrow-10.0.1 pyasn1-0.4.8 pyasn1-modules-0.2.8 pydeck-0.8.0 pygments-2.14.0 pympler-1.0.1 pyparsing-3.0.9 pypatchmatch-0.1.4 pyreadline3-3.4.1 pyrsistent-0.19.3 python-dateutil-2.8.2 python-engineio-4.3.4 python-socketio-5.7.2 pytorch-lightning-1.7.7 pytz-2022.7 pytz-deprecation-shim-0.1.0.post0 pyyaml-6.0 qudida-0.0.4 realesrgan-0.3.0 regex-2022.10.31 requests-2.25.1 requests-oauthlib-1.3.1 resize-right-0.0.2 rich-13.0.1 rsa-4.9 scikit-image-0.19.3 scikit-learn-1.2.0 scipy-1.10.0 semver-2.13.0 send2trash-1.8.0 sentry-sdk-1.12.1 setproctitle-1.3.2 shortuuid-1.0.11 smmap-5.0.0 streamlit-1.16.0 taming-transformers-rom1504-0.0.6 tb-nightly-2.12.0a20230107 tensorboard-2.11.0 tensorboard-data-server-0.6.1 tensorboard-plugin-wit-1.8.1 test-tube-0.7.5 threadpoolctl-3.1.0 tifffile-2022.10.10 tokenizers-0.13.2 toml-0.10.2 toolz-0.12.0 torch-1.12.1+cu116 torch-fidelity-0.3.0 torchdiffeq-0.2.3 torchmetrics-0.11.0 torchsde-0.2.5 torchvision-0.13.1+cu116 tornado-6.2 tqdm-4.64.1 trampoline-0.1.2 transformers-4.25.1 typing-extensions-4.4.0 tzdata-2022.7 tzlocal-4.2 urllib3-1.26.13 urwid-2.1.2 validators-0.18.2 wandb-0.13.7 watchdog-2.2.1 wcwidth-0.2.5 wheel-0.38.4 yapf-0.32.0 yarl-1.8.2 zipp-3.11.0
Installation successful.

*** Installing InvokeAI Modules and Executables ***
Collecting https://github.com/invoke-ai/InvokeAI/archive/refs/tags/v2.2.5.zip
  Downloading https://github.com/invoke-ai/InvokeAI/archive/refs/tags/v2.2.5.zip
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  Preparing metadata (setup.py) ... done
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Building wheels for collected packages: InvokeAI
  Building wheel for InvokeAI (setup.py) ... done
  Created wheel for InvokeAI: filename=InvokeAI-2.2.5-py3-none-any.whl size=2049642 sha256=d0245509233cbae3d7cc56dff4f406f8bde47606acb129c86e3845838d4304ab
  Stored in directory: C:\Users\Brian\AppData\Local\Temp\pip-ephem-wheel-cache-1y43eb6u\wheels\67\b0\49\9f21042c65e73a757c112ca6c1b781394f90d52a3ddf5d3c8d
Successfully built InvokeAI
Installing collected packages: InvokeAI
Successfully installed InvokeAI-2.2.5
Installation successful.
.\templates\rootdir\configs\INITIAL_MODELS.yaml
.\templates\rootdir\configs\models.yaml.example
.\templates\rootdir\configs\sd-concepts.txt
.\templates\rootdir\configs\stable-diffusion\v1-finetune.yaml
.\templates\rootdir\configs\stable-diffusion\v1-finetune_style.yaml
.\templates\rootdir\configs\stable-diffusion\v1-inference.yaml
.\templates\rootdir\configs\stable-diffusion\v1-inpainting-inference.yaml
.\templates\rootdir\configs\stable-diffusion\v1-m1-finetune.yaml
8 File(s) copied
Loading Python libraries...

Welcome to InvokeAI. This script will help download the Stable Diffusion weight files
and other large models that are needed for text to image generation. At any point you may interrupt
this program and resume later.

** INITIALIZING INVOKEAI RUNTIME DIRECTORY **
Select the default directory for image outputs [D:\InvokeAI\invokeai\outputs]: D:\InvokeAI\invokeai\outputs

InvokeAI image outputs will be placed into "D:\InvokeAI\invokeai\outputs".
Accept this location? [y]

You may change the chosen output directory at any time by editing the --outdir options in "invokeai.init",
You may also change the runtime directory by setting the environment variable INVOKEAI_ROOT.

The NSFW (not safe for work) checker blurs out images that potentially contain sexual imagery.
It can be selectively enabled at run time with --nsfw_checker, and disabled with --no-nsfw_checker.
The following option will set whether the checker is enabled by default. Like other options, you can
change this setting later by editing the file invokeai.init.
This is NOT recommended for systems with less than 6G VRAM because of the checker's memory requirements.
Enable the NSFW checker by default? [y]

Creating the initialization file at "D:\InvokeAI\invokeai\invokeai.init".

** DOWNLOADING DIFFUSION WEIGHTS **
You can download and configure the weights files manually or let this
script do it for you. Manual installation is described at:

https://invoke-ai.github.io/InvokeAI/installation/020_INSTALL_MANUAL/

You may download the recommended models (about 10GB total), select a customized set, or
completely skip this step.

Download <r>ecommended models, <a>ll models, <c>ustomized list, or <s>kip this step? [r]:

Invoke AI Web UI

Containers and Cloud

https://invoke-ai.github.io/InvokeAI/installation/040_INSTALL_DOCKER/

On Mac M1 you will have the following error following the guide above:

~/git/github/InvokeAI/docker-build$ make build
DOCKER_BUILDKIT=1 docker build -t local/invokeai:latest -f Dockerfile.cloud ..
[+] Building 188.9s (11/19)
 => [internal] load build definition from Dockerfile.cloud                                                                    0.0s
 => => transferring dockerfile: 2.56kB                                                                                        0.0s
 => [internal] load .dockerignore                                                                                             0.0s
 => => transferring context: 354B                                                                                             0.0s
 => [internal] load metadata for docker.io/library/ubuntu:22.04                                                               1.0s
 => [auth] library/ubuntu:pull token for registry-1.docker.io                                                                 0.0s
 => [builder 1/8] FROM docker.io/library/ubuntu:22.04@sha256:27cb6e6ccef575a4698b66f5de06c7ecd61589132d5a91d098f7f3f9285415a  2.8s
 => => resolve docker.io/library/ubuntu:22.04@sha256:27cb6e6ccef575a4698b66f5de06c7ecd61589132d5a91d098f7f3f9285415a9         0.0s
 => => sha256:e77aa65a8a2bccbc47b96b4256995dd7ff447024ed5319527040f7cc465f6511 529B / 529B                                    0.0s
 => => sha256:4c2c87c6c36efcba52fe55e88b05af548de25e295d2ebddf10dacbf605ac78b7 1.48kB / 1.48kB                                0.0s
 => => sha256:10175de2f0c4f7d306f660ee073bce12b824c8012dd19b3c140aae053fabd1cc 28.38MB / 28.38MB                              1.7s
 => => sha256:27cb6e6ccef575a4698b66f5de06c7ecd61589132d5a91d098f7f3f9285415a9 1.42kB / 1.42kB                                0.0s
 => => extracting sha256:10175de2f0c4f7d306f660ee073bce12b824c8012dd19b3c140aae053fabd1cc                                     1.0s
 => [internal] load build context                                                                                             0.7s
 => => transferring context: 14.57MB                                                                                          0.7s
 => [runtime 2/7] RUN --mount=type=cache,target=/var/cache/apt,sharing=locked     --mount=type=cache,target=/var/lib/apt,sh  78.7s
 => [builder 2/8] RUN rm -f /etc/apt/apt.conf.d/docker-clean; echo 'Binary::apt::APT::Keep-Downloaded-Packages "true";' > /e  0.4s
 => [builder 3/8] RUN --mount=type=cache,target=/var/cache/apt,sharing=locked     --mount=type=cache,target=/var/lib/apt,s  184.2s
 => [runtime 3/7] WORKDIR /invokeai                                                                                           0.0s
 => ERROR [builder 4/8] RUN cd /usr/lib/x86_64-linux-gnu/pkgconfig/ &&   ln -sf opencv4.pc opencv.pc                          0.3s
------
 > [builder 4/8] RUN cd /usr/lib/x86_64-linux-gnu/pkgconfig/ &&   ln -sf opencv4.pc opencv.pc:
#10 0.337 /bin/sh: 1: cd: can't cd to /usr/lib/x86_64-linux-gnu/pkgconfig/
------
executor failed running [/bin/sh -c cd /usr/lib/x86_64-linux-gnu/pkgconfig/ &&   ln -sf opencv4.pc opencv.pc]: exit code: 2
make: *** [build] Error 1
~/git/github/InvokeAI/docker-build$ export

Try running the following:

DOCKER_DEFAULT_PLATFORM=linux/amd64 make build

It finally finished:

~/git/github/InvokeAI/docker-build$ export DOCKER_DEFAULT_PLATFORM=linux/amd64
~/git/github/InvokeAI/docker-build$ make build
DOCKER_BUILDKIT=1 docker build -t local/invokeai:latest -f Dockerfile.cloud ..
[+] Building 1146.6s (14/19)
 => => transferring dockerfile: 43B                                                                                           0.0s
 => [internal] load .dockerignore                                                                                             0.0s
 => => transferring context: 35B                                                                                              0.0s
 => [internal] load metadata for docker.io/library/ubuntu:22.04                                                               0.9s
 => [auth] library/ubuntu:pull token for registry-1.docker.io                                                                 0.0s
 => [internal] load build context                                                                                             0.1s
 => => transferring context: 53.09kB                                                                                          0.1s
 => [builder 1/8] FROM docker.io/library/ubuntu:22.04@sha256:27cb6e6ccef575a4698b66f5de06c7ecd61589132d5a91d098f7f3f9285415a  2.8s
 => => resolve docker.io/library/ubuntu:22.04@sha256:27cb6e6ccef575a4698b66f5de06c7ecd61589132d5a91d098f7f3f9285415a9         0.0s
 => => sha256:27cb6e6ccef575a4698b66f5de06c7ecd61589132d5a91d098f7f3f9285415a9 1.42kB / 1.42kB                                0.0s
 => => sha256:965fbcae990b0467ed5657caceaec165018ef44a4d2d46c7cdea80a9dff0d1ea 529B / 529B                                    0.0s
 => => sha256:6b7dfa7e8fdbe18ad425dd965a1049d984f31cf0ad57fa6d5377cca355e65f03 1.46kB / 1.46kB                                0.0s
 => => sha256:6e3729cf69e0ce2de9e779575a1fec8b7fb5efdfa822829290ab6d5d1bc3e797 30.43MB / 30.43MB                              1.4s
 => => extracting sha256:6e3729cf69e0ce2de9e779575a1fec8b7fb5efdfa822829290ab6d5d1bc3e797                                     1.2s
[+] Building 1931.5s (14/19)                                                                                                       [+] Building 2357.0s (20/20) FINISHED
 => [internal] load build definition from Dockerfile.cloud                                                                    0.0s  => => transferring dockerfile: 43B                                                                                           0.0s
 => [internal] load .dockerignore                                                                                             0.0sr => => transferring context: 35B                                                                                              0.0s
 => [internal] load metadata for docker.io/library/ubuntu:22.04                                                               0.9s  => [auth] library/ubuntu:pull token for registry-1.docker.io                                                                 0.0s
 => [internal] load build context                                                                                             0.1s2 => => transferring context: 53.09kB                                                                                          0.1s
 => [builder 1/8] FROM docker.io/library/ubuntu:22.04@sha256:27cb6e6ccef575a4698b66f5de06c7ecd61589132d5a91d098f7f3f9285415a  2.8se => => resolve docker.io/library/ubuntu:22.04@sha256:27cb6e6ccef575a4698b66f5de06c7ecd61589132d5a91d098f7f3f9285415a9         0.0s
 => => sha256:27cb6e6ccef575a4698b66f5de06c7ecd61589132d5a91d098f7f3f9285415a9 1.42kB / 1.42kB                                0.0sf => => sha256:965fbcae990b0467ed5657caceaec165018ef44a4d2d46c7cdea80a9dff0d1ea 529B / 529B                                    0.0s
 => => sha256:6b7dfa7e8fdbe18ad425dd965a1049d984f31cf0ad57fa6d5377cca355e65f03 1.46kB / 1.46kB                                0.0st => => sha256:6e3729cf69e0ce2de9e779575a1fec8b7fb5efdfa822829290ab6d5d1bc3e797 30.43MB / 30.43MB                              1.4s
 => => extracting sha256:6e3729cf69e0ce2de9e779575a1fec8b7fb5efdfa822829290ab6d5d1bc3e797                                     1.2st => [runtime 2/7] RUN --mount=type=cache,target=/var/cache/apt,sharing=locked     --mount=type=cache,target=/var/lib/apt,s  337.7s
 => [builder 2/8] RUN rm -f /etc/apt/apt.conf.d/docker-clean; echo 'Binary::apt::APT::Keep-Downloaded-Packages "true";' > /e  0.5sl => [builder 3/8] RUN --mount=type=cache,target=/var/cache/apt,sharing=locked     --mount=type=cache,target=/var/lib/apt,s  715.2s
 => [runtime 3/7] WORKDIR /invokeai                                                                                           0.0st => [builder 4/8] RUN cd /usr/lib/x86_64-linux-gnu/pkgconfig/ &&   ln -sf opencv4.pc opencv.pc                                0.3s
 => [builder 5/8] WORKDIR /invokeai                                                                                           0.0st => [builder 6/8] RUN --mount=type=cache,target=/root/.cache/pip     python3 -m venv /invokeai/.venv &&    pip install --e  358.9s
 => [builder 7/8] COPY . .                                                                                                    0.3s  => [builder 8/8] RUN --mount=type=cache,target=/root/.cache/pip     cp environments-and-requirements/requirements-lin-cu  1143.5s
 => [runtime 4/7] COPY --from=builder /invokeai /invokeai                                                                    33.6s  => [runtime 5/7] COPY --from=builder /usr/lib/x86_64-linux-gnu/pkgconfig /usr/lib/x86_64-linux-gnu/pkgconfig                 0.2s
 => [runtime 6/7] RUN python -c "from patchmatch import patch_match"                                                         35.3s  => [runtime 7/7] RUN touch /root/.invokeai                                                                                   0.3s
 => exporting to image                                                                                                       44.4s
 => => exporting layers                                                                                                      44.4s
 => => writing image sha256:45ee3ba5ec932029a8b626f5d890f3409e8374f17ed134e7a0838bb96dc66af6                                  0.0s
 => => naming to docker.io/local/invokeai:latest

Configure

Next, run make configure

Falied with the following:

~/git/github/InvokeAI/docker-build$ make configure
docker run --rm -it --runtime=nvidia --gpus=all \
                -v /Users/brian/invokeai:/mnt/invokeai \
                -e INVOKEAI_ROOT=/mnt/invokeai \
                local/invokeai:latest -c "python scripts/configure_invokeai.py"
docker: Error response from daemon: Unknown runtime specified nvidia.
See 'docker run --help'.
make: *** [configure] Error 125
~/git/github/InvokeAI/docker-build$

I don't want to use GPUs since I'm on a Mac M1, so I can edit the Makefile command:

configure:
    docker run --rm -it --runtime=nvidia \
        -v ${HOST_MOUNT_PATH}:${INVOKEAI_ROOT} \
        -e INVOKEAI_ROOT=${INVOKEAI_ROOT} \
        ${IMAGE} -c "python scripts/configure_invokeai.py"

Running it with:

~/git/github/InvokeAI/docker-build$ make configure
docker run --rm -it \
                -v /Users/brian/invokeai:/mnt/invokeai \
                -e INVOKEAI_ROOT=/mnt/invokeai \
                local/invokeai:latest -c "python scripts/configure_invokeai.py"

We then go through the following interactive dialog:

Loading Python libraries...

Welcome to InvokeAI. This script will help download the Stable Diffusion weight files
and other large models that are needed for text to image generation. At any point you may interrupt
this program and resume later.

** INITIALIZING INVOKEAI RUNTIME DIRECTORY **
Select the default directory for image outputs [/mnt/invokeai/outputs]: /mnt/invokeai/outputs

This is the volume we mounted with out -v /Users/brian/invokeai:/mnt/invokeai argument in the docker run command above, so we keep this as the default.

Next we will be asked to configure the NSFW checker:

InvokeAI image outputs will be placed into "/mnt/invokeai/outputs".
Accept this location? [y]

You may change the chosen output directory at any time by editing the --outdir options in "invokeai.init",
You may also change the runtime directory by setting the environment variable INVOKEAI_ROOT.

The NSFW (not safe for work) checker blurs out images that potentially contain sexual imagery.
It can be selectively enabled at run time with --nsfw_checker, and disabled with --no-nsfw_checker.
The following option will set whether the checker is enabled by default. Like other options, you can
change this setting later by editing the file invokeai.init.
This is NOT recommended for systems with less than 6G VRAM because of the checker's memory requirements.
Enable the NSFW checker by default? [y] N

This creates the initialization file on our local machine.

Creating the initialization file at "/mnt/invokeai/invokeai.init".

** DOWNLOADING DIFFUSION WEIGHTS **
You can download and configure the weights files manually or let this
script do it for you. Manual installation is described at:

https://invoke-ai.github.io/InvokeAI/installation/020_INSTALL_MANUAL/

You may download the recommended models (about 10GB total), select a customized set, or
completely skip this step.

Download <r>ecommended models, <a>ll models, <c>ustomized list, or <s>kip this step? [r]:

Type r, press Enter, the accept the license terms:

** LICENSE AGREEMENT FOR WEIGHT FILES **
=========================================================================================

By downloading the Stable Diffusion weight files from the official Hugging Face
repository, you agree to have read and accepted the CreativeML Responsible AI License.
The license terms are located here:

   https://huggingface.co/spaces/CompVis/stable-diffusion-license


=========================================================================================
Accept the above License terms? [y]

Next we are asked to authenticate to Huggingface. Create a token there an enter it.

=========================================================================================
Accept the above License terms? [y]
Thank you!
=========================================================================================
Authenticating to Huggingface
Huggingface token not found in cache.
Token was not found in the environment variable HUGGING_FACE_HUB_TOKEN.
Token was not found in the environment variable HUGGINGFACE_TOKEN.
 You may optionally enter your Huggingface token now. InvokeAI
*will* work without it but you will not be able to automatically
download some of the Hugging Face style concepts.  See
https://invoke-ai.github.io/InvokeAI/features/CONCEPTS/#using-a-hugging-face-concept
for more information.

Visit https://huggingface.co/settings/tokens to generate a token. (Sign up for an account if needed).

Paste the token below using Ctrl-V on macOS/Linux, or Ctrl-Shift-V or right-click on Windows.
Alternatively press 'Enter' to skip this step and continue.
You may re-run the configuration script again in the future if you do not wish to set the token right now.

HF Token โฎž

Next it starts to download weights. I started at 1:45

** DOWNLOADING WEIGHTS **
stable-diffusion-2.1-768...
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stable-diffusion-1.5...
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An unexpected error occurred while downloading the model: [Errno 5] Input/output error)       | 97.0M/3.44G [00:24<14:30, 3.84MB/s]
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