78 lines
2.3 KiB
Python
78 lines
2.3 KiB
Python
# This file is autogenerated by the command `make fix-copies`, do not edit.
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from ..utils import DummyObject, requires_backends
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class FlaxStableDiffusionControlNetPipeline(metaclass=DummyObject):
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_backends = ["flax", "transformers"]
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def __init__(self, *args, **kwargs):
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requires_backends(self, ["flax", "transformers"])
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@classmethod
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def from_config(cls, *args, **kwargs):
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requires_backends(cls, ["flax", "transformers"])
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@classmethod
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def from_pretrained(cls, *args, **kwargs):
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requires_backends(cls, ["flax", "transformers"])
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class FlaxStableDiffusionImg2ImgPipeline(metaclass=DummyObject):
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_backends = ["flax", "transformers"]
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def __init__(self, *args, **kwargs):
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requires_backends(self, ["flax", "transformers"])
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@classmethod
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def from_config(cls, *args, **kwargs):
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requires_backends(cls, ["flax", "transformers"])
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@classmethod
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def from_pretrained(cls, *args, **kwargs):
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requires_backends(cls, ["flax", "transformers"])
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class FlaxStableDiffusionInpaintPipeline(metaclass=DummyObject):
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_backends = ["flax", "transformers"]
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def __init__(self, *args, **kwargs):
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requires_backends(self, ["flax", "transformers"])
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@classmethod
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def from_config(cls, *args, **kwargs):
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requires_backends(cls, ["flax", "transformers"])
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@classmethod
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def from_pretrained(cls, *args, **kwargs):
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requires_backends(cls, ["flax", "transformers"])
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class FlaxStableDiffusionPipeline(metaclass=DummyObject):
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_backends = ["flax", "transformers"]
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def __init__(self, *args, **kwargs):
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requires_backends(self, ["flax", "transformers"])
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@classmethod
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def from_config(cls, *args, **kwargs):
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requires_backends(cls, ["flax", "transformers"])
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@classmethod
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def from_pretrained(cls, *args, **kwargs):
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requires_backends(cls, ["flax", "transformers"])
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class FlaxStableDiffusionXLPipeline(metaclass=DummyObject):
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_backends = ["flax", "transformers"]
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def __init__(self, *args, **kwargs):
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requires_backends(self, ["flax", "transformers"])
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@classmethod
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def from_config(cls, *args, **kwargs):
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requires_backends(cls, ["flax", "transformers"])
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@classmethod
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def from_pretrained(cls, *args, **kwargs):
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requires_backends(cls, ["flax", "transformers"])
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