This simply hides nodes from the workflow editor. The nodes will still work if an API request is made with them. For example, you could hide `iterate` nodes from the workflow editor, but if the Linear UI makes use of those nodes, they will still function.
- Update `AppConfig` with optional property `nodesDenylist: string[]`
- If provided, nodes are filtered out by `type` in the workflow editor
Allow denying and explicitly allowing nodes. When a not-allowed node is used, a pydantic `ValidationError` will be raised.
- When collecting all invocations, check against the allowlist and denylist first. When pydantic constructs any unions related to nodes, the denied nodes will be omitted
- Add `allow_nodes` and `deny_nodes` to `InvokeAIAppConfig`. These are `Union[list[str], None]`, and may be populated with the `type` of invocations.
- When `allow_nodes` is `None`, allow all nodes, else if it is `list[str]`, only allow nodes in the list
- When `deny_nodes` is `None`, deny no nodes, else if it is `list[str]`, deny nodes in the list
- `deny_nodes` overrides `allow_nodes`
## What type of PR is this? (check all applicable)
3.1.1 Release build & updates
## Have you discussed this change with the InvokeAI team?
- [X] Yes
- [ ] No, because:
## Have you updated all relevant documentation?
- [X] Yes
- [ ] No
## Description
## Related Tickets & Documents
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## QA Instructions, Screenshots, Recordings
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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
- [x] Feature
- [ ] Bug Fix
- [ ] Optimization
- [ ] Documentation Update
- [ ] Community Node Submission
## Description
Adds a configuration option to fetch metadata and workflows from api
isntead of the image file. Needed for commercial.
Minor corrections to spell and grammar in the feature request template.
## What type of PR is this? (check all applicable)
- [ ] Refactor
- [ ] Feature
- [ ] Bug Fix
- [ ] Optimization
- [x] Documentation Update
- [ ] Community Node Submission
## Have you discussed this change with the InvokeAI team?
- [ ] Yes
- [x] No, because:
This PR should be self explanatory.
## Have you updated all relevant documentation?
- [x] Yes
- [ ] No
## Description
Minor corrections to spell and grammar in the feature request template.
No code or behavioural changes.
## Related Tickets & Documents
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## QA Instructions, Screenshots, Recordings
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N/A
## Added/updated tests?
- [ ] Yes
- [x] No : _please replace this line with details on why tests
have not been included_
There are no tests for the issue template.
## [optional] Are there any post deployment tasks we need to perform?
I added extra steps to update the Cudnnn DLL found in the Torch package
because it wasn't optimised or didn't use the lastest version. So
manually updating it can speed up iteration but the result might differ
from each card. Exemple i passed from 3 it/s to a steady 20 it/s.
## What type of PR is this? (check all applicable)
- [ ] Refactor
- [ ] Feature
- [ ] Bug Fix
- [ ] Optimization
- [x] 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
## Related Tickets & Documents
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- [ ] No : _please replace this line with details on why tests
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## [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
fix(nodes): add version to iterate and collect
## Related Tickets & Documents
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- [ ] No : _please replace this line with details on why tests
have not been included_
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## What type of PR is this? (check all applicable)
- [x] Feature
## Have you discussed this change with the InvokeAI team?
- [x] Yes
## Description
Scale Before Processing Dimensions now respect the Aspect Ratio that is
locked in. This makes it way easier to control the setting when using it
with locked ratios on the canvas.
## 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
Running the config script on Macs triggered an error due to absence of
VRAM on these machines! VRAM setting is now skipped.
## Added/updated tests?
- [ ] Yes
- [X] No : Will add this test in the near future.
I added extra steps to update the Cudnnn DLL found in the Torch package because it wasn't optimised or didn't use the lastest version. So manually updating it can speed up iteration but the result might differ from each card. Exemple i passed from 3 it/s to a steady 20 it/s.
@blessedcoolant Per discussion, have updated codeowners so that we're
not force merging things.
This will, however, necessitate a much more disciplined approval.
## What type of PR is this? (check all applicable)
- [ ] Refactor
- [ ] Feature
- [ ] Bug Fix
- [ ] Optimization
- [ ] Documentation Update
- [X] Community Node Submission
## Have you discussed this change with the InvokeAI team?
- [X] Yes
- [ ] No, because:
## Have you updated all relevant documentation?
- [ ] Yes
- [ ] No
## Description
Add textfontimage node to communityNodes.md
## Related Tickets & Documents
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## Added/updated tests?
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- [ ] 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?
