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47 lines
1.4 KiB
Python
47 lines
1.4 KiB
Python
from invokeai.app.invocations.baseinvocation import (
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BaseInvocation,
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BaseInvocationOutput,
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Classification,
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invocation,
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invocation_output,
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)
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from invokeai.app.invocations.fields import (
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FieldDescriptions,
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FluxFillConditioningField,
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InputField,
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OutputField,
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TensorField,
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)
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from invokeai.app.invocations.primitives import ImageField
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from invokeai.app.services.shared.invocation_context import InvocationContext
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@invocation_output("flux_fill_output")
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class FluxFillOutput(BaseInvocationOutput):
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"""The conditioning output of a FLUX Fill invocation."""
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fill_cond: FluxFillConditioningField = OutputField(
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description=FieldDescriptions.flux_redux_conditioning, title="Conditioning"
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)
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@invocation(
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"flux_fill",
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title="FLUX Fill Conditioning",
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tags=["inpaint"],
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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 FluxFillInvocation(BaseInvocation):
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"""Prepare the FLUX Fill conditioning data."""
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image: ImageField = InputField(description="The FLUX Fill reference image.")
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mask: TensorField = InputField(
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description="The bool inpainting mask. Excluded regions should be set to "
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"False, included regions should be set to True.",
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)
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def invoke(self, context: InvocationContext) -> FluxFillOutput:
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return FluxFillOutput(fill_cond=FluxFillConditioningField(image=self.image, mask=self.mask))
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