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add troubleshooting guide to README

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Lincoln Stein 2022-08-29 23:08:04 -04:00
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1 changed files with 67 additions and 4 deletions
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@ -701,11 +701,74 @@ Downloading: "https://github.com/DagnyT/hardnet/raw/master/pretrained/train_libe
100%|███████████████████████████████████████████████| 5.10M/5.10M [00:00<00:00, 101MB/s] 100%|███████████████████████████████████████████████| 5.10M/5.10M [00:00<00:00, 101MB/s]
...success ...success
``` ```
## Troubleshooting
If you don't need this change and want to download the files just in Here are a few common installation problems and their solutions. Often
time, copy over the file ldm/modules/encoders/modules.py from the these are caused by incomplete installations or crashes during the
CompVis/stable-diffusion repository. Or you can run preload_models.py install process.
on the target machine.
* PROBLEM: During "conda env create -f environment.yaml", conda
hangs indefinitely.
* SOLUTION: Enter the stable-diffusion directory and completely
remove the "src" directory and all its contents. The safest way
to do this is to enter the stable-diffusion directory and
give the command "git clean -f". If this still doesn't fix
the problem, try "conda clean -all" and then restart at the
"conda env create" step.
---
* PROBLEM: dream.py crashes with the complaint that it can't find
ldm.simplet2i.py. Or it complains that function is being passed
incorrect parameters.
* SOLUTION: Reinstall the stable diffusion modules. Enter the
stable-diffusion directory and give the command "pip install -e ."
---
* PROBLEM: dream.py dies, complaining of various missing modules, none
of which starts with "ldm".
* SOLUTION: From within the stable-diffusion directory, run "conda env
update -f environment.yaml" This is also frequently the solution to
complaints about an unknown function in a module.
---
* PROBLEM: There's a feature or bugfix in the Stable Diffusion GitHub
that you want to try out.
* SOLUTION: If the fix/feature is on the "main" branch, enter the stable-diffusion
directory and do a "git pull". Usually this will be sufficient, but if
you start to see errors about missing or incorrect modules, use the
command "pip install -e ." and/or "conda env update -f environment.yaml"
(These commands won't break anything.)
-If the feature/fix is on a branch (e.g. "foo-bugfix"), the recipe is similar, but
do a "git pull <name of branch>".
-If the feature/fix is in a pull request that has not yet been made
part of the main branch or a feature/bugfix branch, then from the page
for the desired pull request, look for the line at the top that reads
"xxxx wants to merge xx commits into lstein:main from YYYYYY". Copy
the URL in YYYY. It should have the format
https://github.com/<name of contributor>/stable-diffusion/tree/<name
of branch>
Then **go to the directory above stable-diffusion**, and rename the
directory to "stable-diffusion.lstein", "stable-diffusion.old", or
whatever. You can then git clone the branch that contains the
pull request:
~~~~
git clone https://github.com/<name of contributor>/stable-diffusion/tree/<name
of branch>
~~~~
You will need to go through the install procedure again, but it should
be fast because all the dependencies are already loaded.
## Support ## Support