Diffusion-Attentive-Attribution-Maps

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Diffusion-Attentive-Attribution-Maps / diffusers /utils /dummy_transformers_objects.py

unbee

tetrisd

Duplicate from tetrisd/Diffusion-Attentive-Attribution-Maps

2aec976 almost 4 years ago

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# This file is autogenerated by the command `make fix-copies`, do not edit.
# flake8: noqa

from ..utils import DummyObject, requires_backends


class LDMTextToImagePipeline(metaclass=DummyObject):
    _backends = ["transformers"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["transformers"])


class StableDiffusionImg2ImgPipeline(metaclass=DummyObject):
    _backends = ["transformers"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["transformers"])


class StableDiffusionInpaintPipeline(metaclass=DummyObject):
    _backends = ["transformers"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["transformers"])


class StableDiffusionPipeline(metaclass=DummyObject):
    _backends = ["transformers"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["transformers"])

	# This file is autogenerated by the command `make fix-copies`, do not edit.
	# flake8: noqa

	from ..utils import DummyObject, requires_backends


	class LDMTextToImagePipeline(metaclass=DummyObject):
	_backends = ["transformers"]

	def __init__(self, args, *kwargs):
	requires_backends(self, ["transformers"])


	class StableDiffusionImg2ImgPipeline(metaclass=DummyObject):
	_backends = ["transformers"]

	def __init__(self, args, *kwargs):
	requires_backends(self, ["transformers"])


	class StableDiffusionInpaintPipeline(metaclass=DummyObject):
	_backends = ["transformers"]

	def __init__(self, args, *kwargs):
	requires_backends(self, ["transformers"])


	class StableDiffusionPipeline(metaclass=DummyObject):
	_backends = ["transformers"]

	def __init__(self, args, *kwargs):
	requires_backends(self, ["transformers"])