Currently we use some workflow trigger conditionals to run either a real test workflow (installing the app and running it) or a fake workflow, disguised as the real one, that just auto-passes.
This change refactors the workflow to use a single workflow that can be skipped, using another github action to determine which things to run depending on the paths changed.
## What type of PR is this? (check all applicable)
- [x] Refactor
## Have you discussed this change with the InvokeAI team?
- [x] No, because it's pretty minor
## Have you updated all relevant documentation?
- [x] No
## Description
This PR just moves the PR template to within the `.github/` directory
leading to a overall minimal project structure.
## Added/updated tests?
- [x] No : because this change doesn't affect or need a separate test
- Create abstract base class InvocationStatsServiceBase
- Store InvocationStatsService in the InvocationServices object
- Collect and report stats on simultaneous graph execution
independently for each graph id
- Track VRAM usage for each node
- Handle cancellations and other exceptions gracefully
## What type of PR is this? (check all applicable)
- [ X] Refactor
- [ ] Feature
- [ ] Bug Fix
- [ ] Optimization
- [ ] Documentation Update
- [ ] Community Node Submission
## Have you discussed this change with the InvokeAI team?
- [ ] Yes
- [ X] No, because: invisible change
## Have you updated all relevant documentation?
- [ X] Yes
- [ ] No
## Description
There was a problem in 3.0.1 with root resolution. If INVOKEAI_ROOT were
set to "." (or any relative path), then the location of root would
change if the code did an os.chdir() after config initialization. I
fixed this in a quick and dirty way for 3.0.1.post3.
This PR cleans up the code with a little refactoring.
## Related Tickets & Documents
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- Related Issue #
- Closes #
## QA Instructions, Screenshots, Recordings
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Please provide steps on how to test changes, any hardware or
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## Added/updated tests?
- [ ] Yes
- [ ] No : _please replace this line with details on why tests
have not been included_
## [optional] Are there any post deployment tasks we need to perform?
## What type of PR is this? (check all applicable)
- [ ] Refactor
- [ ] Feature
- [ ]X Bug Fix
- [ ] Optimization
- [ X] Documentation Update
- [ ] Community Node Submission
## Have you discussed this change with the InvokeAI team?
- [ ] Yes
- [ X] No, because: obvious problem
## Have you updated all relevant documentation?
- [ X] Yes
- [ ] No
## Description
The manual installation documentation in both README.md and
020_MANUAL_INSTALL give an incomplete `invokeai-configure` command which
leaves out the path to the root directory to create. As a result, the
invokeai root directory gets created in the user’s home directory, even
if they intended it to be placed somewhere else.
This is a fairly important issue.
## What type of PR is this? (check all applicable)
- [x] Refactor
- [x] Feature
- [x] Bug Fix
- [?] Optimization
## Have you discussed this change with the InvokeAI team?
- [x] No
## Description
- Fixed filter type select using `images` instead of `all` -- Probably
some merge conflict.
- Added loading state for model lists. Handy when the model list takes
longer than a second for any reason to fetch. Better to show this than
an empty screen.
- Refactored the render model list function so we modify the display
component in one area rather than have repeated code.
### Other Issues
- The list can get a bit laggy on initial load when you have a hundreds
of models / loras. This needs to be fixed. Will make another PR for
this.
