* Consolidated saturation/luminosity adjust.
Now allows increasing and inverting.
Accepts any color PIL format and channel designation.
* Updated docs/nodes/defaultNodes.md
* shortened tags list to channel types only
* fix typo in mode list
* split features into offset and multiply nodes
* Updated documentation
* Change invert to discrete boolean.
Previous math was unclear and had issues with 0 values.
* chore: black
* chore(ui): typegen
---------
Co-authored-by: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Revised links to my node py files, replacing them with links to independent repos. Additionally I consolidated some nodes together (Image and Mask Composition Pack, Size Stepper nodes).
## What type of PR is this? (check all applicable)
- [ ] Refactor
- [x] Feature
- [ ] Bug Fix
- [ ] 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?
- [x] Yes
- [ ] No
## Description
This PR is based on #4423 and should not be merged until it is merged.
[feat(nodes): add version to node
schemas](c179d4ccb7)
The `@invocation` decorator is extended with an optional `version` arg.
On execution of the decorator, the version string is parsed using the
`semver` package (this was an indirect dependency and has been added to
`pyproject.toml`).
All built-in nodes are set with `version="1.0.0"`.
The version is added to the OpenAPI Schema for consumption by the
client.
[feat(ui): handle node
versions](03de3e4f78)
- Node versions are now added to node templates
- Node data (including in workflows) include the version of the node
- On loading a workflow, we check to see if the node and template
versions match exactly. If not, a warning is logged to console.
- The node info icon (top-right corner of node, which you may click to
open the notes editor) now shows the version and mentions any issues.
- Some workflow validation logic has been shifted around and is now
executed in a redux listener.
## Related Tickets & Documents
<!--
For pull requests that relate or close an issue, please include them
below.
For example having the text: "closes #1234" would connect the current
pull
request to issue 1234. And when we merge the pull request, Github will
automatically close the issue.
-->
- Closes#4393
## QA Instructions, Screenshots, Recordings
<!--
Please provide steps on how to test changes, any hardware or
software specifications as well as any other pertinent information.
-->
Loading old workflows should prompt a warning, and the node status icon
should indicate some action is needed.
## [optional] Are there any post deployment tasks we need to perform?
I've updated the default workflows:
- Bump workflow versions from 1.0 to 1.0.1
- Add versions for all nodes in the workflows
- Test workflows
[Default
Workflows.zip](https://github.com/invoke-ai/InvokeAI/files/12511911/Default.Workflows.zip)
I'm not sure where these are being stored right now @Millu
## What type of PR is this? (check all applicable)
- [ ] Refactor
- [x] Feature
- [x] Bug Fix
- [ ] Optimization
- [ ] Documentation Update
- [ ] Community Node Submission
## Description
### Polymorphic Fields
Initial support for polymorphic field types. Polymorphic types are a
single of or list of a specific type. For example, `Union[str,
list[str]]`.
Polymorphics do not yet have support for direct input in the UI (will
come in the future). They will be forcibly set as Connection-only
fields, in which case users will not be able to provide direct input to
the field.
If a polymorphic should present as a singleton type - which would allow
direct input - the node must provide an explicit type hint.
For example, `DenoiseLatents`' `CFG Scale` is polymorphic, but in the
node editor, we want to present this as a number input. In the node
definition, the field is given `ui_type=UIType.Float`, which tells the
UI to treat this as a `float` field.
The connection validation logic will prevent connecting a collection to
`CFG Scale` in this situation, because it is typed as `float`. The
workaround is to disable validation from the settings to make this
specific connection. A future improvement will resolve this.
### Collection Fields
This also introduces better support for collection field types. Like
polymorphics, collection types are parsed automatically by the client
and do not need any specific type hints.
Also like polymorphics, there is no support yet for direct input of
collection types in the UI.
### Other Changes
- Disabling validation in workflow editor now displays the visual hints
for valid connections, but lets you connect to anything.
- Added `ui_order: int` to `InputField` and `OutputField`. The UI will
use this, if present, to order fields in a node UI. See usage in
`DenoiseLatents` for an example.
- Updated the field colors - duplicate colors have just been lightened a
bit. It's not perfect but it was a quick fix.
- Field handles for collections are the same color as their single
counterparts, but have a dark dot in the center of them.
- Field handles for polymorphics are a rounded square with dot in the
middle.
- Removed all fields that just render `null` from `InputFieldRenderer`,
replaced with a single fallback
- Removed logic in `zValidatedWorkflow`, which checked for existence of
node templates for each node in a workflow. This logic introduced a
circular dependency, due to importing the global redux `store` in order
to get the node templates within a zod schema. It's actually fine to
just leave this out entirely; The case of a missing node template is
handled by the UI. Fixing it otherwise would introduce a substantial
headache.
- Fixed the `ControlNetInvocation.control_model` field default, which
was a string when it shouldn't have one.
## Related Tickets & Documents
<!--
For pull requests that relate or close an issue, please include them
below.
For example having the text: "closes #1234" would connect the current
pull
request to issue 1234. And when we merge the pull request, Github will
automatically close the issue.
-->
- Closes#4266
## QA Instructions, Screenshots, Recordings
<!--
Please provide steps on how to test changes, any hardware or
software specifications as well as any other pertinent information.
-->
Add this polymorphic float node to the end of your
`invokeai/app/invocations/primitives.py`:
```py
@invocation("float_poly", title="Float Poly Test", tags=["primitives", "float"], category="primitives")
class FloatPolyInvocation(BaseInvocation):
"""A float polymorphic primitive value"""
value: Union[float, list[float]] = InputField(default_factory=list, description="The float value")
def invoke(self, context: InvocationContext) -> FloatOutput:
return FloatOutput(value=self.value[0] if isinstance(self.value, list) else self.value)
``
Head over to nodes and try to connecting up some collection and polymorphic inputs.
- Node versions are now added to node templates
- Node data (including in workflows) include the version of the node
- On loading a workflow, we check to see if the node and template versions match exactly. If not, a warning is logged to console.
- The node info icon (top-right corner of node, which you may click to open the notes editor) now shows the version and mentions any issues.
- Some workflow validation logic has been shifted around and is now executed in a redux listener.
The `@invocation` decorator is extended with an optional `version` arg. On execution of the decorator, the version string is parsed using the `semver` package (this was an indirect dependency and has been added to `pyproject.toml`).
All built-in nodes are set with `version="1.0.0"`.
The version is added to the OpenAPI Schema for consumption by the client.
Initial support for polymorphic field types. Polymorphic types are a single of or list of a specific type. For example, `Union[str, list[str]]`.
Polymorphics do not yet have support for direct input in the UI (will come in the future). They will be forcibly set as Connection-only fields, in which case users will not be able to provide direct input to the field.
If a polymorphic should present as a singleton type - which would allow direct input - the node must provide an explicit type hint.
For example, `DenoiseLatents`' `CFG Scale` is polymorphic, but in the node editor, we want to present this as a number input. In the node definition, the field is given `ui_type=UIType.Float`, which tells the UI to treat this as a `float` field.
The connection validation logic will prevent connecting a collection to `CFG Scale` in this situation, because it is typed as `float`. The workaround is to disable validation from the settings to make this specific connection. A future improvement will resolve this.
This also introduces better support for collection field types. Like polymorphics, collection types are parsed automatically by the client and do not need any specific type hints.
Also like polymorphics, there is no support yet for direct input of collection types in the UI.
- Disabling validation in workflow editor now displays the visual hints for valid connections, but lets you connect to anything.
- Added `ui_order: int` to `InputField` and `OutputField`. The UI will use this, if present, to order fields in a node UI. See usage in `DenoiseLatents` for an example.
- Updated the field colors - duplicate colors have just been lightened a bit. It's not perfect but it was a quick fix.
- Field handles for collections are the same color as their single counterparts, but have a dark dot in the center of them.
- Field handles for polymorphics are a rounded square with dot in the middle.
- Removed all fields that just render `null` from `InputFieldRenderer`, replaced with a single fallback
- Removed logic in `zValidatedWorkflow`, which checked for existence of node templates for each node in a workflow. This logic introduced a circular dependency, due to importing the global redux `store` in order to get the node templates within a zod schema. It's actually fine to just leave this out entirely; The case of a missing node template is handled by the UI. Fixing it otherwise would introduce a substantial headache.
- Fixed the `ControlNetInvocation.control_model` field default, which was a string when it shouldn't have one.
## What type of PR is this? (check all applicable)
- [x] Feature
## Have you discussed this change with the InvokeAI team?
- [x] No
## Description
Automatically infer the name of the model from the path supplied IF the
model name slot is empty. If the model name is not empty, we presume
that the user has entered a model name or made changes to it and we do
not touch it in order to not override user changes.
## Related Tickets & Documents
- Addresses: #4443
## What type of PR is this? (check all applicable)
- [ ] Refactor
- [ ] Feature
- [x] Bug Fix
- [ ] Optimization
- [ ] Documentation Update
- [ ] Community Node Submission
## Description
fix(ui): clicking node collapse button does not bring node to front
## Related Tickets & Documents
<!--
For pull requests that relate or close an issue, please include them
below.
For example having the text: "closes #1234" would connect the current
pull
request to issue 1234. And when we merge the pull request, Github will
automatically close the issue.
-->
- Related Issue
https://discord.com/channels/1020123559063990373/1130288930319761428/1147333454632071249
- Closes#4438
## 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
There is a call in `baseinvocation.invocation_output()` to
`cls.__annotations__`. However, in Python 3.9 not all objects have this
attribute. I have worked around the limitation in the way described in
https://docs.python.org/3/howto/annotations.html , which supposedly will
produce same results in 3.9, 3.10 and 3.11.
## Related Tickets & Documents
See
https://discord.com/channels/1020123559063990373/1146897072394608660/1146939182300799017
for first bug report.
## What type of PR is this? (check all applicable)
- [x] Cleanup
## Have you discussed this change with the InvokeAI team?
- [x] Yes
- [ ] No, because:
## Description
Used https://github.com/albertas/deadcode to get rough overview of what
is not used, checked everything manually though. App still runs.
## Related Tickets & Documents
<!--
For pull requests that relate or close an issue, please include them
below.
For example having the text: "closes #1234" would connect the current
pull
request to issue 1234. And when we merge the pull request, Github will
automatically close the issue.
-->
- Closes#4424
## QA Instructions, Screenshots, Recordings
<!--
Please provide steps on how to test changes, any hardware or
software specifications as well as any other pertinent information.
-->
Ensure it doesn't explode when you run it.
* add StableDiffusionXLInpaintPipeline to probe list
* add StableDiffusionXLInpaintPipeline to probe list
* Blackified (?)
---------
Authored-by: Lincoln Stein <lstein@gmail.com>
Mucked about with to get it merged by: Kent Keirsey <31807370+hipsterusername@users.noreply.github.com>
Add a click handler for node wrapper component that exclusively selects that node, IF no other modifier keys are held.
Technically I believe this means we are doubling up on the selection logic, as reactflow handles this internally also. But this is by far the most reliable way to fix the UX.
## What type of PR is this? (check all applicable)
- [x] Refactor
- [ ] Feature
- [x] Bug Fix
- [ ] Optimization
- [ ] Documentation Update
- [ ] Community Node Submission
## Have you discussed this change with the InvokeAI team?
- [ ] Yes
- [ ] No, because:
## Have you updated all relevant documentation?
- [ ] Yes
- [ ] No
## Description
## Related Tickets & Documents
<!--
For pull requests that relate or close an issue, please include them
below.
For example having the text: "closes #1234" would connect the current
pull
request to issue 1234. And when we merge the pull request, Github will
automatically close the issue.
-->
- Related Issue #
- Closes #
## QA Instructions, Screenshots, Recordings
<!--
Please provide steps on how to test changes, any hardware or
software specifications as well as any other pertinent information.
-->
## 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
- [ ] Documentation Update
- [ ] Community Node Submission
## Description
The logic that introduced a circular import was actually extraneous. I
have entirely removed it.
This fixes the frontend lint test.
