mirror of
https://github.com/invoke-ai/InvokeAI
synced 2024-08-30 20:32:17 +00:00
69 lines
2.6 KiB
Markdown
69 lines
2.6 KiB
Markdown
|
# **Frequently Asked Questions**
|
||
|
|
|
||
|
|
Here are a few common installation problems and their solutions. Often these are caused by incomplete installations or crashes during the
|
||
|
|
install process.
|
||
|
|
|
||
|
|
---
|
||
|
|
|
||
|
|
**QUESTION**
|
||
|
|
|
||
|
|
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.
|
||
|
|
|
||
|
|
---
|
||
|
|
|
||
|
|
**QUESTION**
|
||
|
|
|
||
|
|
`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 .`
|
||
|
|
|
||
|
|
---
|
||
|
|
|
||
|
|
**QUESTION**
|
||
|
|
|
||
|
|
`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.
|
||
|
|
|
||
|
|
---
|
||
|
|
|
||
|
|
**QUESTION**
|
||
|
|
|
||
|
|
There's a feature or bugfix in the Stable Diffusion GitHub that you want to try out.
|
||
|
|
|
||
|
|
**SOLUTION**
|
||
|
|
|
||
|
|
**Main Branch**
|
||
|
|
|
||
|
|
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.)
|
||
|
|
|
||
|
|
**Sub Branch**
|
||
|
|
|
||
|
|
If the feature/fix is on a branch (e.g. "_foo-bugfix_"), the recipe is similar, but do a `git pull <name of branch>`.
|
||
|
|
|
||
|
|
**Not Committed**
|
||
|
|
|
||
|
|
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 anything else. 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.
|
||
|
|
|
||
|
|
---
|