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moved the notebook files into their own directory

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Lincoln Stein
2022-09-11 13:05:38 -04:00
parent 878ef2e9e0
commit 4f72cb44ad
6 changed files with 36 additions and 12 deletions
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11
docs/installation/INSTALL_MAC.md
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@ -9,9 +9,12 @@ Requirements
\*I haven't tested any of this on Intel Macs but I have read that one person got it to work, so Apple Silicon might not be requried.
Things have moved really fast and so these instructions change often and are often out-of-date. One of the problems is that there are so many different ways to run this.
Things have moved really fast and so these instructions change often
and are often out-of-date. One of the problems is that there are so
many different ways to run this.
We are trying to build a testing setup so that when we make changes it doesn't always break.
We are trying to build a testing setup so that when we make changes it
doesn't always break.
How to (this hasn't been 100% tested yet):
@ -88,7 +91,9 @@ The original scripts should work as well.
python scripts/orig_scripts/txt2img.py --prompt "a photograph of an astronaut riding a horse" --plms
```
Note, `export PIP_EXISTS_ACTION=w` is a precaution to fix `conda env create -f environment-mac.yaml` never finishing in some situations. So it isn't required but wont hurt.
Note, `export PIP_EXISTS_ACTION=w` is a precaution to fix `conda env
create -f environment-mac.yaml` never finishing in some situations. So
it isn't required but wont hurt.
After you follow all the instructions and run dream.py you might get several errors. Here's the errors I've seen and found solutions for.

18
docs/installation/INSTALL_WINDOWS.md
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@ -2,10 +2,18 @@
## **Notebook install (semi-automated)**
We have a [Jupyter notebook](https://github.com/lstein/stable-diffusion/blob/main/Stable-Diffusion-local-Windows.ipynb) 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.
We have a [Jupyter
notebook](https://github.com/lstein/stable-diffusion/blob/main/notebooks/Stable-Diffusion-local-Windows.ipynb)
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 - simplified
[step-by-step instructions](https://github.com/lstein/stable-diffusion/wiki/Easy-peasy-Windows-install) are available in the wiki (you'll only need steps 1, 2, & 3 ).
Note that you will need NVIDIA drivers, Python 3.10, and Git installed
beforehand - simplified [step-by-step
instructions](https://github.com/lstein/stable-diffusion/wiki/Easy-peasy-Windows-install)
are available in the wiki (you'll only need steps 1, 2, & 3 ).
## **Manual Install**
@ -43,7 +51,8 @@ conda env create -f environment.yaml (step 6a)
conda activate ldm (step 6b)
```
This will install all python requirements and activate the "ldm" environment which sets PATH and other environment variables properly.
This will install all python requirements and activate the "ldm"
environment which sets PATH and other environment variables properly.
7. Run the command:
@ -97,6 +106,7 @@ This distribution is changing rapidly. If you used the `git clone` method (step
```
git pull
conda env update -f environment.yaml
```
This will bring your local copy into sync with the remote one.