Notebook install (semi-automated)#
We have a Jupyter notebook with cell-by-cell installation steps. It will download the code in this repo as one of the steps, so instead of cloning this repo, simply download the notebook from the link above and load it up in VSCode (with the appropriate extensions installed)/Jupyter/JupyterLab and start running the cells one-by-one.
Note that you will need NVIDIA drivers, Python 3.10, and Git installed beforehand.
Manual Install with Conda#
Install Anaconda3 (miniconda3 version) from here
Install Git from here
Launch Anaconda from the Windows Start menu. This will bring up a command window. Type all the remaining commands in this window.
Run the command:
This will create stable-diffusion folder where you will follow the rest of the steps.
Enter the newly-created InvokeAI folder. From this step forward make sure that you are working in the InvokeAI directory!
Run the following commands:
For systems with a CUDA (Nvidia) card:
rmdir src # (this is a precaution in case there is already a src directory) conda env create -f environment-cuda.yml conda activate invokeai (invokeai)>
For systems with an AMD card (using ROCm driver):
rmdir src # (this is a precaution in case there is already a src directory) conda env create -f environment-AMD.yml conda activate invokeai (invokeai)>
This will install all python requirements and activate the "invokeai" environment which sets PATH and other environment variables properly.
Load the big stable diffusion weights files and a couple of smaller machine-learning models:
This script will lead you through the process of creating an account on Hugging Face, accepting the terms and conditions of the Stable Diffusion model license, and obtaining an access token for downloading. It will then download and install the weights files for you.
Please look here for a manual process for doing the same thing.
Start generating images!
Make sure that the conda environment is activated, which should create
(invokeai)in front of your prompt!
To use an alternative model you may invoke the
!switchcommand in the CLI, or pass
invoke.pylaunch for either the CLI or the Web UI. See Command Line Client. The model names are defined in
Subsequently, to relaunch the script, first activate the Anaconda command window (step 3),enter the InvokeAI directory (step 5,
cd \path\to\InvokeAI), run
conda activate invokeai(step 6b), and then launch the invoke script (step 9).
Tildebyte has written an alternative
"Easy peasy Windows install" which uses the Windows Powershell and pew. If you are having trouble with Anaconda on Windows, give this a try (or try it first!)
This distribution is changing rapidly. If you used the
git clone method
(step 5) to download the stable-diffusion directory, then to update to the
latest and greatest version, launch the Anaconda window, enter
stable-diffusion, and type:
This will bring your local copy into sync with the remote one.
Created: September 11, 2022