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feat(nodes): add beta classification to mask tensor nodes
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@ -1,7 +1,7 @@
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import numpy as np
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import torch
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from invokeai.app.invocations.baseinvocation import BaseInvocation, InvocationContext, invocation
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from invokeai.app.invocations.baseinvocation import BaseInvocation, Classification, InvocationContext, invocation
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from invokeai.app.invocations.fields import ImageField, InputField, TensorField, WithMetadata
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from invokeai.app.invocations.primitives import MaskOutput
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@ -43,6 +43,7 @@ class RectangleMaskInvocation(BaseInvocation, WithMetadata):
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tags=["conditioning"],
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category="conditioning",
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version="1.0.0",
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classification=Classification.Beta,
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)
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class AlphaMaskToTensorInvocation(BaseInvocation):
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"""Convert a mask image to a tensor. Opaque regions are 1 and transparent regions are 0."""
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@ -71,6 +72,7 @@ class AlphaMaskToTensorInvocation(BaseInvocation):
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tags=["conditioning"],
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category="conditioning",
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version="1.0.0",
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classification=Classification.Beta,
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)
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class InvertTensorMaskInvocation(BaseInvocation):
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"""Inverts a tensor mask."""
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