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fix(nodes): restore type annotations for InvocationContext

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psychedelicious
2024-02-05 17:16:35 +11:00
parent 281c334531
commit 4ce21087d3
25 changed files with 158 additions and 143 deletions
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11
invokeai/app/invocations/infill.py
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@ -8,6 +8,7 @@ from PIL import Image, ImageOps
from invokeai.app.invocations.fields import ColorField, ImageField
from invokeai.app.invocations.primitives import ImageOutput
from invokeai.app.services.shared.invocation_context import InvocationContext
from invokeai.app.util.misc import SEED_MAX
from invokeai.backend.image_util.cv2_inpaint import cv2_inpaint
from invokeai.backend.image_util.lama import LaMA
@ -129,7 +130,7 @@ class InfillColorInvocation(BaseInvocation, WithMetadata):
description="The color to use to infill",
)
def invoke(self, context) -> ImageOutput:
def invoke(self, context: InvocationContext) -> ImageOutput:
image = context.images.get_pil(self.image.image_name)
solid_bg = Image.new("RGBA", image.size, self.color.tuple())
@ -155,7 +156,7 @@ class InfillTileInvocation(BaseInvocation, WithMetadata):
description="The seed to use for tile generation (omit for random)",
)
def invoke(self, context) -> ImageOutput:
def invoke(self, context: InvocationContext) -> ImageOutput:
image = context.images.get_pil(self.image.image_name)
infilled = tile_fill_missing(image.copy(), seed=self.seed, tile_size=self.tile_size)
@ -176,7 +177,7 @@ class InfillPatchMatchInvocation(BaseInvocation, WithMetadata):
downscale: float = InputField(default=2.0, gt=0, description="Run patchmatch on downscaled image to speedup infill")
resample_mode: PIL_RESAMPLING_MODES = InputField(default="bicubic", description="The resampling mode")
def invoke(self, context) -> ImageOutput:
def invoke(self, context: InvocationContext) -> ImageOutput:
image = context.images.get_pil(self.image.image_name).convert("RGBA")
resample_mode = PIL_RESAMPLING_MAP[self.resample_mode]
@ -213,7 +214,7 @@ class LaMaInfillInvocation(BaseInvocation, WithMetadata):
image: ImageField = InputField(description="The image to infill")
def invoke(self, context) -> ImageOutput:
def invoke(self, context: InvocationContext) -> ImageOutput:
image = context.images.get_pil(self.image.image_name)
infilled = infill_lama(image.copy())
@ -229,7 +230,7 @@ class CV2InfillInvocation(BaseInvocation, WithMetadata):
image: ImageField = InputField(description="The image to infill")
def invoke(self, context) -> ImageOutput:
def invoke(self, context: InvocationContext) -> ImageOutput:
image = context.images.get_pil(self.image.image_name)
infilled = infill_cv2(image.copy())