- also implement pessimistic updates for starring, only changing the images that were successfully updated by backend
- some autoformat changes crept in
If `reactflow` initializes before the node templates are parsed, edges may not be rendered and the viewport may get reset.
- Add `isReady` state to `NodesState`. This is false when we are loading or parsing node templates and true when that is finished.
- Conditionally render `reactflow` based on `isReady`.
- Add `viewport` to `NodesState` & handlers to keep it synced. This allows `reactflow` to mount and unmount freely and not lose viewport.
Refine concept of "parameter" nodes to "primitives":
- integer
- float
- string
- boolean
- image
- latents
- conditioning
- color
Each primitive has:
- A field definition, if it is not already python primitive value. The field is how this primitive value is passed between nodes. Collections are lists of the field in node definitions. ex: `ImageField` & `list[ImageField]`
- A single output class. ex: `ImageOutput`
- A collection output class. ex: `ImageCollectionOutput`
- A node, which functions to load or pass on the primitive value. ex: `ImageInvocation` (in this case, `ImageInvocation` replaces `LoadImage`)
Plus a number of related changes:
- Reorganize these into `primitives.py`
- Update all nodes and logic to use primitives
- Consolidate "prompt" outputs into "string" & "mask" into "image" (there's no reason for these to be different, the function identically)
- Update default graphs & tests
- Regen frontend types & minor frontend tidy related to changes
## What type of PR is this? (check all applicable)
- [X] Bug Fix
## Have you discussed this change with the InvokeAI team?
- [X] Yes
## Have you updated all relevant documentation?
- [X] Yes
## Description
On Windows systems, model merging was crashing at the very last step
with an error related to not being able to serialize a WindowsPath
object. I have converted the path that is passed to `save_pretrained`
into a string, which I believe will solve the problem.
Note that I had to rebuild the web frontend and add it to the PR in
order to test on my Windows VM which does not have the full node stack
installed due to space limitations.
## Related Tickets & Documents
https://discord.com/channels/1020123559063990373/1042475531079262378/1140680788954861698
## What type of PR is this? (check all applicable)
- [ ] Refactor
- [ ] Feature
- [x] Bug Fix
- [ ] Optimization
- [ ] Documentation Update
- [ ] Community Node Submission
## Have you discussed this change with the InvokeAI team?
- [ ] Yes
- [x] No, because: it's smol
## Have you updated all relevant documentation?
- [ ] Yes
- [x] No
## Description
docker_entrypoint.sh does not quote variable expansion to prevent word
splitting, causing paths with spaces to fail as in #3913
## Related Tickets & Documents
#3913
<!--
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- Related Issue #3913
- Closes#3913
## QA Instructions, Screenshots, Recordings
<!--
Please provide steps on how to test changes, any hardware or
software specifications as well as any other pertinent information.
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## Added/updated tests?
- [ ] Yes
- [x] 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)
- [x] Refactor
- [x] Feature
- [x] Bug Fix
- [x] Optimization
- [ ] Documentation Update
- [ ] Community Node Submission
## Have you discussed this change with the InvokeAI team?
- [x] Yes
- [ ] No, because:
## Have you updated all relevant documentation?
- [ ] Yes
- [x] No
## Description
- Remove SDXL raw prompt nodes
- SDXL and SD1/2 generation merged to same nodes - t2l/l2l
- Fixed - if no xformers installed we trying to enable attention
slicing, ignoring torch-sdp availability
- Fixed - In SDXL negative prompt now creating zeroed tensor(according
to official code)
- Added mask field to l2l node
- Removed inpaint node and all legacy code related to this node
- Pass info about seed in latents, so we can use it to initialize
ancestral/sde schedulers
- t2l and l2l nodes moved from strength to denoising_start/end
- Removed code for noise threshold(@hipsterusername said that there no
plans to restore this feature)
- Fixed - first preview image now not gray
- Fixed - report correct total step count in progress, added scheduler
order in progress event
- Added MaskEdge and ColorCorrect nodes (@hipsterusername)
## Added/updated tests?
- [ ] Yes
- [x] No
