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from abc import ABC, abstractmethod
from typing import Any, Mapping, Sequence, Tuple
SDXL_SUPPORTED_RESOLUTIONS = [
(1024, 1024, 1.0),
(1152, 896, 1.2857142857142858),
(896, 1152, 0.7777777777777778),
(1216, 832, 1.4615384615384615),
(832, 1216, 0.6842105263157895),
(1344, 768, 1.75),
(768, 1344, 0.5714285714285714),
(1536, 640, 2.4),
(640, 1536, 0.4166666666666667),
]
SDXL_EXTENDED_RESOLUTIONS = [
(512, 2048, 0.25),
(512, 1984, 0.26),
(512, 1920, 0.27),
(512, 1856, 0.28),
(576, 1792, 0.32),
(576, 1728, 0.33),
(576, 1664, 0.35),
(640, 1600, 0.4),
(640, 1536, 0.42),
(704, 1472, 0.48),
(704, 1408, 0.5),
(704, 1344, 0.52),
(768, 1344, 0.57),
(768, 1280, 0.6),
(832, 1216, 0.68),
(832, 1152, 0.72),
(896, 1152, 0.78),
(896, 1088, 0.82),
(960, 1088, 0.88),
(960, 1024, 0.94),
(1024, 1024, 1.0),
(1024, 960, 1.8),
(1088, 960, 1.14),
(1088, 896, 1.22),
(1152, 896, 1.30),
(1152, 832, 1.39),
(1216, 832, 1.47),
(1280, 768, 1.68),
(1344, 768, 1.76),
(1408, 704, 2.0),
(1472, 704, 2.10),
(1536, 640, 2.4),
(1600, 640, 2.5),
(1664, 576, 2.90),
(1728, 576, 3.0),
(1792, 576, 3.12),
(1856, 512, 3.63),
(1920, 512, 3.76),
(1984, 512, 3.89),
(2048, 512, 4.0),
]
class Resolution(ABC):
@classmethod
@abstractmethod
def resolutions(cls) -> Sequence[Tuple[int, int, float]]: ...
@classmethod
def INPUT_TYPES(cls) -> Mapping[str, Any]:
return {
"required": {
"resolution": ([f"{res[0]}x{res[1]}" for res in cls.resolutions()],)
}
}
RETURN_TYPES = ("INT", "INT")
RETURN_NAMES = ("width", "height")
FUNCTION = "op"
CATEGORY = "math/graphics"
def op(self, resolution: str) -> tuple[int, int]:
width, height = resolution.split("x")
return (int(width), int(height))
class NearestResolution(ABC):
@classmethod
@abstractmethod
def resolutions(cls) -> Sequence[Tuple[int, int, float]]: ...
@classmethod
def INPUT_TYPES(cls) -> Mapping[str, Any]:
return {"required": {"image": ("IMAGE",)}}
RETURN_TYPES = ("INT", "INT")
RETURN_NAMES = ("width", "height")
FUNCTION = "op"
CATEGORY = "math/graphics"
def op(self, image) -> tuple[int, int]:
image_width = image.size()[2]
image_height = image.size()[1]
print(f"Input image resolution: {image_width}x{image_height}")
image_ratio = image_width / image_height
differences = [
(abs(image_ratio - resolution[2]), resolution)
for resolution in self.resolutions()
]
smallest = None
for difference in differences:
if smallest is None:
smallest = difference
else:
if difference[0] < smallest[0]:
smallest = difference
if smallest is not None:
width = smallest[1][0]
height = smallest[1][1]
else:
width = 1024
height = 1024
print(f"Selected resolution: {width}x{height}")
return (width, height)
class SDXLResolution(Resolution):
@classmethod
def resolutions(cls):
return SDXL_SUPPORTED_RESOLUTIONS
class SDXLExtendedResolution(Resolution):
@classmethod
def resolutions(cls):
return SDXL_EXTENDED_RESOLUTIONS
class NearestSDXLResolution(NearestResolution):
@classmethod
def resolutions(cls):
return SDXL_SUPPORTED_RESOLUTIONS
class NearestSDXLExtendedResolution(NearestResolution):
@classmethod
def resolutions(cls):
return SDXL_EXTENDED_RESOLUTIONS
NODE_CLASS_MAPPINGS = {
"CM_SDXLResolution": SDXLResolution,
"CM_NearestSDXLResolution": NearestSDXLResolution,
"CM_SDXLExtendedResolution": SDXLExtendedResolution,
"CM_NearestSDXLExtendedResolution": NearestSDXLExtendedResolution,
}