mirror of
https://github.com/invoke-ai/InvokeAI
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85b020f76c
* Add latents nodes. * Fix iteration expansion. * Add collection generator nodes, math nodes. * Add noise node. * Add some graph debug commands to the CLI. * Fix negative id linking in CLI. * Fix a CLI bug with multiple links per node.
51 lines
1.7 KiB
Python
51 lines
1.7 KiB
Python
# Copyright (c) 2023 Kyle Schouviller (https://github.com/kyle0654)
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from typing import Literal
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import cv2 as cv
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import numpy as np
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import numpy.random
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from PIL import Image, ImageOps
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from pydantic import Field
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from ..services.image_storage import ImageType
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from .baseinvocation import BaseInvocation, InvocationContext, BaseInvocationOutput
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from .image import ImageField, ImageOutput
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class IntCollectionOutput(BaseInvocationOutput):
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"""A collection of integers"""
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type: Literal["int_collection"] = "int_collection"
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# Outputs
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collection: list[int] = Field(default=[], description="The int collection")
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class RangeInvocation(BaseInvocation):
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"""Creates a range"""
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type: Literal["range"] = "range"
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# Inputs
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start: int = Field(default=0, description="The start of the range")
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stop: int = Field(default=10, description="The stop of the range")
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step: int = Field(default=1, description="The step of the range")
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def invoke(self, context: InvocationContext) -> IntCollectionOutput:
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return IntCollectionOutput(collection=list(range(self.start, self.stop, self.step)))
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class RandomRangeInvocation(BaseInvocation):
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"""Creates a collection of random numbers"""
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type: Literal["random_range"] = "random_range"
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# Inputs
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low: int = Field(default=0, description="The inclusive low value")
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high: int = Field(default=np.iinfo(np.int32).max, description="The exclusive high value")
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size: int = Field(default=1, description="The number of values to generate")
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def invoke(self, context: InvocationContext) -> IntCollectionOutput:
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return IntCollectionOutput(collection=list(numpy.random.randint(self.low, self.high, size=self.size)))
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