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chore: ruff formatting

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dunkeroni 2024-02-18 23:11:36 -05:00 committed by psychedelicious
parent 56ac2104e3
commit cd070d8be9
4 changed files with 7 additions and 5 deletions
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2
invokeai/app/invocations/constants.py
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@ -14,4 +14,4 @@ SCHEDULER_NAME_VALUES = Literal[tuple(SCHEDULER_MAP.keys())]
"""A literal type representing the valid scheduler names.""" """A literal type representing the valid scheduler names."""
IMAGE_MODES = Literal["L", "RGB", "RGBA", "CMYK", "YCbCr", "LAB", "HSV", "I", "F"] IMAGE_MODES = Literal["L", "RGB", "RGBA", "CMYK", "YCbCr", "LAB", "HSV", "I", "F"]
"""A literal type for PIL image modes supported by Invoke""" """A literal type for PIL image modes supported by Invoke"""

2
invokeai/app/invocations/controlnet_image_processors.py
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@ -591,7 +591,7 @@ class DepthAnythingImageProcessorInvocation(ImageProcessorInvocation):
def run_processor(self, image: Image.Image): def run_processor(self, image: Image.Image):
depth_anything_detector = DepthAnythingDetector() depth_anything_detector = DepthAnythingDetector()
depth_anything_detector.load_model(model_size=self.model_size) depth_anything_detector.load_model(model_size=self.model_size)
processed_image = depth_anything_detector(image=image, resolution=self.resolution, offload=self.offload) processed_image = depth_anything_detector(image=image, resolution=self.resolution, offload=self.offload)
return processed_image return processed_image

2
invokeai/app/invocations/image.py
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@ -7,6 +7,7 @@ import cv2
import numpy import numpy
from PIL import Image, ImageChops, ImageFilter, ImageOps from PIL import Image, ImageChops, ImageFilter, ImageOps
from invokeai.app.invocations.constants import IMAGE_MODES
from invokeai.app.invocations.fields import ( from invokeai.app.invocations.fields import (
ColorField, ColorField,
FieldDescriptions, FieldDescriptions,
@ -16,7 +17,6 @@ from invokeai.app.invocations.fields import (
WithMetadata, WithMetadata,
) )
from invokeai.app.invocations.primitives import ImageOutput from invokeai.app.invocations.primitives import ImageOutput
from invokeai.app.invocations.constants import IMAGE_MODES
from invokeai.app.services.image_records.image_records_common import ImageCategory from invokeai.app.services.image_records.image_records_common import ImageCategory
from invokeai.app.services.shared.invocation_context import InvocationContext from invokeai.app.services.shared.invocation_context import InvocationContext
from invokeai.backend.image_util.invisible_watermark import InvisibleWatermark from invokeai.backend.image_util.invisible_watermark import InvisibleWatermark

6
invokeai/app/services/shared/invocation_context.py
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@ -5,8 +5,8 @@ from typing import TYPE_CHECKING, Optional
from PIL.Image import Image from PIL.Image import Image
from torch import Tensor from torch import Tensor
from invokeai.app.invocations.fields import MetadataField, WithBoard, WithMetadata
from invokeai.app.invocations.constants import IMAGE_MODES from invokeai.app.invocations.constants import IMAGE_MODES
from invokeai.app.invocations.fields import MetadataField, WithBoard, WithMetadata
from invokeai.app.services.boards.boards_common import BoardDTO from invokeai.app.services.boards.boards_common import BoardDTO
from invokeai.app.services.config.config_default import InvokeAIAppConfig from invokeai.app.services.config.config_default import InvokeAIAppConfig
from invokeai.app.services.image_records.image_records_common import ImageCategory, ResourceOrigin from invokeai.app.services.image_records.image_records_common import ImageCategory, ResourceOrigin
@ -207,7 +207,9 @@ class ImagesInterface(InvocationContextInterface):
try: try:
image = image.convert(mode) image = image.convert(mode)
except ValueError: except ValueError:
self._services.logger.warning(f"Could not convert image from {image.mode} to {mode}. Using original mode instead.") self._services.logger.warning(
f"Could not convert image from {image.mode} to {mode}. Using original mode instead."
)
return image return image
def get_metadata(self, image_name: str) -> Optional[MetadataField]: def get_metadata(self, image_name: str) -> Optional[MetadataField]: