feat(nodes): migrate cnet nodes away from controlnet_aux
#6831
Commits on Sep 11, 2024
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feat(nodes): add
CannyEdgeDetectionInvocationSimilar to the existing node, but without the resolution fields.
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feat(nodes): add
ColorMapGeneratorInvocationSimilar to the existing node, but without the resolution fields.
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feat(nodes): add
ContentShuffleInvocationSimilar to the existing node, but without the resolution fields.
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feat(nodes): add
DepthAnythingDepthEstimationInvocationSimilar to the existing node, but without any resizing and with a revised model loading API.
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feat(nodes): add
HEDEdgeDetectionInvocationSimilar to the existing node, but without any resizing and with a revised model loading API that uses the model manager.
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feat(nodes): add
LineartAnimeEdgeDetectionInvocationSimilar to the existing node, but without any resizing and with a revised model loading API that uses the model manager.
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feat(nodes): add
LineartEdgeDetectionInvocationSimilar to the existing node, but without any resizing and with a revised model loading API that uses the model manager.
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feat(nodes): add
MediaPipeFaceDetectionInvocationSimilar to the existing node, but without any resizing and with a revised model loading API that uses the model manager. All code related to the invocation now lives in the Invoke repo.
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feat(nodes): add
MLSDEdgeDetectionInvocationSimilar to the existing node, but without any resizing and with a revised model loading API that uses the model manager. All code related to the invocation now lives in the Invoke repo.
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feat(nodes): add
NormalMapInvocationSimilar to the existing node, but without any resizing and with a revised model loading API that uses the model manager. All code related to the invocation now lives in the Invoke repo. Unfortunately, this includes a whole git repo for EfficientNet. I believe we could use the package `timm` instead of this, but it's beyond me.
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feat(nodes): add
PiDiNetEdgeDetectionInvocationSimilar to the existing node, but without any resizing and with a revised model loading API that uses the model manager. All code related to the invocation now lives in the Invoke repo.
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feat(nodes): add
DWOpenposeDetectionInvocationSimilar to the existing node, but without any resizing. The backend logic was consolidated and modified so that it the model loading can be managed by the model manager. The ONNX Runtime `InferenceSession` class was added to the `AnyModel` union to satisfy the type checker.
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feat(nodes): update color map node
- Changed name - Better field names
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feat(nodes): update content shuffle node
- Better field names
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feat(ui): improve typing on CanvasEntityAdapterBase
Use a generic to narrow the `type` field from `string` to a literal. Now you can do e.g. `adapter.type === 'control_layer_adapter'` and TS narrows the type.
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feat(ui): hide deprecated nodes from add node menu
They will still be usable if a workflow uses one. You just cannot add them directly.
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tidy(nodes): MLSDEdgeDetection -> MLSDDetection
It's a line segment detector, not general edge detector.
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- Add backcompat for cnet model default settings - Default filter selection based on model type - Updated UI components to use new filter nodes - Added handling for failed filter executions, preventing filter from getting stuck in case it failed for some reason - New translations for all filters & fields
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feat(ui): entityRasterized action only needs position, not rect
This makes it a bit easier to call the action
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