Datasets:
nielsr
/
diffusers-classes

Dataset card Data Studio Files Community
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class KandinskyCombinedPipeline(metaclass=DummyObject): _backends = ["torch", "transformers"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch", "transformers"]) @classmethod def from_config(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"]) @classmethod def from_pretrained(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"])
class_definition
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/Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py
null
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class KandinskyImg2ImgCombinedPipeline(metaclass=DummyObject): _backends = ["torch", "transformers"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch", "transformers"]) @classmethod def from_config(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"]) @classmethod def from_pretrained(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"])
class_definition
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/Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py
null
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class KandinskyImg2ImgPipeline(metaclass=DummyObject): _backends = ["torch", "transformers"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch", "transformers"]) @classmethod def from_config(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"]) @classmethod def from_pretrained(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"])
class_definition
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/Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py
null
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class KandinskyInpaintCombinedPipeline(metaclass=DummyObject): _backends = ["torch", "transformers"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch", "transformers"]) @classmethod def from_config(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"]) @classmethod def from_pretrained(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"])
class_definition
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/Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py
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class KandinskyInpaintPipeline(metaclass=DummyObject): _backends = ["torch", "transformers"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch", "transformers"]) @classmethod def from_config(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"]) @classmethod def from_pretrained(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"])
class_definition
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/Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py
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class KandinskyPipeline(metaclass=DummyObject): _backends = ["torch", "transformers"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch", "transformers"]) @classmethod def from_config(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"]) @classmethod def from_pretrained(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"])
class_definition
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/Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py
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class KandinskyPriorPipeline(metaclass=DummyObject): _backends = ["torch", "transformers"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch", "transformers"]) @classmethod def from_config(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"]) @classmethod def from_pretrained(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"])
class_definition
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/Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py
null
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class KandinskyV22CombinedPipeline(metaclass=DummyObject): _backends = ["torch", "transformers"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch", "transformers"]) @classmethod def from_config(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"]) @classmethod def from_pretrained(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"])
class_definition
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/Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py
null
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class KandinskyV22ControlnetImg2ImgPipeline(metaclass=DummyObject): _backends = ["torch", "transformers"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch", "transformers"]) @classmethod def from_config(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"]) @classmethod def from_pretrained(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"])
class_definition
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/Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py
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class KandinskyV22ControlnetPipeline(metaclass=DummyObject): _backends = ["torch", "transformers"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch", "transformers"]) @classmethod def from_config(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"]) @classmethod def from_pretrained(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"])
class_definition
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/Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py
null
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class KandinskyV22Img2ImgCombinedPipeline(metaclass=DummyObject): _backends = ["torch", "transformers"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch", "transformers"]) @classmethod def from_config(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"]) @classmethod def from_pretrained(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"])
class_definition
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/Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py
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class KandinskyV22Img2ImgPipeline(metaclass=DummyObject): _backends = ["torch", "transformers"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch", "transformers"]) @classmethod def from_config(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"]) @classmethod def from_pretrained(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"])
class_definition
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/Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py
null
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class KandinskyV22InpaintCombinedPipeline(metaclass=DummyObject): _backends = ["torch", "transformers"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch", "transformers"]) @classmethod def from_config(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"]) @classmethod def from_pretrained(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"])
class_definition
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/Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py
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class KandinskyV22InpaintPipeline(metaclass=DummyObject): _backends = ["torch", "transformers"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch", "transformers"]) @classmethod def from_config(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"]) @classmethod def from_pretrained(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"])
class_definition
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/Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py
null
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class KandinskyV22Pipeline(metaclass=DummyObject): _backends = ["torch", "transformers"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch", "transformers"]) @classmethod def from_config(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"]) @classmethod def from_pretrained(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"])
class_definition
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/Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py
null
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class KandinskyV22PriorEmb2EmbPipeline(metaclass=DummyObject): _backends = ["torch", "transformers"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch", "transformers"]) @classmethod def from_config(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"]) @classmethod def from_pretrained(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"])
class_definition
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/Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py
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class KandinskyV22PriorPipeline(metaclass=DummyObject): _backends = ["torch", "transformers"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch", "transformers"]) @classmethod def from_config(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"]) @classmethod def from_pretrained(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"])
class_definition
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/Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py
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class LatentConsistencyModelImg2ImgPipeline(metaclass=DummyObject): _backends = ["torch", "transformers"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch", "transformers"]) @classmethod def from_config(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"]) @classmethod def from_pretrained(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"])
class_definition
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/Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py
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class LatentConsistencyModelPipeline(metaclass=DummyObject): _backends = ["torch", "transformers"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch", "transformers"]) @classmethod def from_config(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"]) @classmethod def from_pretrained(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"])
class_definition
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/Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py
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class LattePipeline(metaclass=DummyObject): _backends = ["torch", "transformers"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch", "transformers"]) @classmethod def from_config(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"]) @classmethod def from_pretrained(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"])
class_definition
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/Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py
null
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class LDMTextToImagePipeline(metaclass=DummyObject): _backends = ["torch", "transformers"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch", "transformers"]) @classmethod def from_config(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"]) @classmethod def from_pretrained(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"])
class_definition
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/Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py
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class LEditsPPPipelineStableDiffusion(metaclass=DummyObject): _backends = ["torch", "transformers"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch", "transformers"]) @classmethod def from_config(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"]) @classmethod def from_pretrained(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"])
class_definition
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/Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py
null
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class LEditsPPPipelineStableDiffusionXL(metaclass=DummyObject): _backends = ["torch", "transformers"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch", "transformers"]) @classmethod def from_config(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"]) @classmethod def from_pretrained(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"])
class_definition
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/Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py
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class LTXImageToVideoPipeline(metaclass=DummyObject): _backends = ["torch", "transformers"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch", "transformers"]) @classmethod def from_config(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"]) @classmethod def from_pretrained(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"])
class_definition
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class LTXPipeline(metaclass=DummyObject): _backends = ["torch", "transformers"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch", "transformers"]) @classmethod def from_config(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"]) @classmethod def from_pretrained(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"])
class_definition
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/Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py
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class LuminaText2ImgPipeline(metaclass=DummyObject): _backends = ["torch", "transformers"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch", "transformers"]) @classmethod def from_config(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"]) @classmethod def from_pretrained(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"])
class_definition
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/Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py
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class MarigoldDepthPipeline(metaclass=DummyObject): _backends = ["torch", "transformers"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch", "transformers"]) @classmethod def from_config(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"]) @classmethod def from_pretrained(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"])
class_definition
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/Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py
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class MarigoldNormalsPipeline(metaclass=DummyObject): _backends = ["torch", "transformers"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch", "transformers"]) @classmethod def from_config(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"]) @classmethod def from_pretrained(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"])
class_definition
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/Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py
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class MochiPipeline(metaclass=DummyObject): _backends = ["torch", "transformers"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch", "transformers"]) @classmethod def from_config(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"]) @classmethod def from_pretrained(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"])
class_definition
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/Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py
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class MusicLDMPipeline(metaclass=DummyObject): _backends = ["torch", "transformers"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch", "transformers"]) @classmethod def from_config(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"]) @classmethod def from_pretrained(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"])
class_definition
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class PaintByExamplePipeline(metaclass=DummyObject): _backends = ["torch", "transformers"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch", "transformers"]) @classmethod def from_config(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"]) @classmethod def from_pretrained(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"])
class_definition
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class PIAPipeline(metaclass=DummyObject): _backends = ["torch", "transformers"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch", "transformers"]) @classmethod def from_config(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"]) @classmethod def from_pretrained(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"])
class_definition
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class PixArtAlphaPipeline(metaclass=DummyObject): _backends = ["torch", "transformers"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch", "transformers"]) @classmethod def from_config(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"]) @classmethod def from_pretrained(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"])
class_definition
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class PixArtSigmaPAGPipeline(metaclass=DummyObject): _backends = ["torch", "transformers"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch", "transformers"]) @classmethod def from_config(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"]) @classmethod def from_pretrained(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"])
class_definition
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class PixArtSigmaPipeline(metaclass=DummyObject): _backends = ["torch", "transformers"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch", "transformers"]) @classmethod def from_config(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"]) @classmethod def from_pretrained(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"])
class_definition
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/Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py
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class ReduxImageEncoder(metaclass=DummyObject): _backends = ["torch", "transformers"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch", "transformers"]) @classmethod def from_config(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"]) @classmethod def from_pretrained(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"])
class_definition
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/Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py
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class SanaPAGPipeline(metaclass=DummyObject): _backends = ["torch", "transformers"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch", "transformers"]) @classmethod def from_config(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"]) @classmethod def from_pretrained(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"])
class_definition
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class SanaPipeline(metaclass=DummyObject): _backends = ["torch", "transformers"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch", "transformers"]) @classmethod def from_config(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"]) @classmethod def from_pretrained(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"])
class_definition
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/Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py
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class SemanticStableDiffusionPipeline(metaclass=DummyObject): _backends = ["torch", "transformers"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch", "transformers"]) @classmethod def from_config(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"]) @classmethod def from_pretrained(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"])
class_definition
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class ShapEImg2ImgPipeline(metaclass=DummyObject): _backends = ["torch", "transformers"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch", "transformers"]) @classmethod def from_config(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"]) @classmethod def from_pretrained(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"])
class_definition
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class ShapEPipeline(metaclass=DummyObject): _backends = ["torch", "transformers"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch", "transformers"]) @classmethod def from_config(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"]) @classmethod def from_pretrained(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"])
class_definition
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/Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py
null
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class StableAudioPipeline(metaclass=DummyObject): _backends = ["torch", "transformers"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch", "transformers"]) @classmethod def from_config(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"]) @classmethod def from_pretrained(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"])
class_definition
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class StableAudioProjectionModel(metaclass=DummyObject): _backends = ["torch", "transformers"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch", "transformers"]) @classmethod def from_config(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"]) @classmethod def from_pretrained(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"])
class_definition
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/Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py
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class StableCascadeCombinedPipeline(metaclass=DummyObject): _backends = ["torch", "transformers"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch", "transformers"]) @classmethod def from_config(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"]) @classmethod def from_pretrained(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"])
class_definition
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/Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py
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class StableCascadeDecoderPipeline(metaclass=DummyObject): _backends = ["torch", "transformers"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch", "transformers"]) @classmethod def from_config(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"]) @classmethod def from_pretrained(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"])
class_definition
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/Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py
null
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class StableCascadePriorPipeline(metaclass=DummyObject): _backends = ["torch", "transformers"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch", "transformers"]) @classmethod def from_config(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"]) @classmethod def from_pretrained(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"])
class_definition
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/Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py
null
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class StableDiffusion3ControlNetPipeline(metaclass=DummyObject): _backends = ["torch", "transformers"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch", "transformers"]) @classmethod def from_config(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"]) @classmethod def from_pretrained(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"])
class_definition
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/Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py
null
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class StableDiffusion3Img2ImgPipeline(metaclass=DummyObject): _backends = ["torch", "transformers"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch", "transformers"]) @classmethod def from_config(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"]) @classmethod def from_pretrained(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"])
class_definition
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/Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py
null
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class StableDiffusion3InpaintPipeline(metaclass=DummyObject): _backends = ["torch", "transformers"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch", "transformers"]) @classmethod def from_config(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"]) @classmethod def from_pretrained(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"])
class_definition
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/Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py
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class StableDiffusion3PAGImg2ImgPipeline(metaclass=DummyObject): _backends = ["torch", "transformers"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch", "transformers"]) @classmethod def from_config(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"]) @classmethod def from_pretrained(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"])
class_definition
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0
/Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py
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class StableDiffusion3PAGPipeline(metaclass=DummyObject): _backends = ["torch", "transformers"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch", "transformers"]) @classmethod def from_config(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"]) @classmethod def from_pretrained(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"])
class_definition
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/Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py
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class StableDiffusion3Pipeline(metaclass=DummyObject): _backends = ["torch", "transformers"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch", "transformers"]) @classmethod def from_config(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"]) @classmethod def from_pretrained(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"])
class_definition
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0
/Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py
null
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class StableDiffusionAdapterPipeline(metaclass=DummyObject): _backends = ["torch", "transformers"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch", "transformers"]) @classmethod def from_config(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"]) @classmethod def from_pretrained(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"])
class_definition
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0
/Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py
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class StableDiffusionAttendAndExcitePipeline(metaclass=DummyObject): _backends = ["torch", "transformers"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch", "transformers"]) @classmethod def from_config(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"]) @classmethod def from_pretrained(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"])
class_definition
46,054
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0
/Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py
null
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class StableDiffusionControlNetImg2ImgPipeline(metaclass=DummyObject): _backends = ["torch", "transformers"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch", "transformers"]) @classmethod def from_config(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"]) @classmethod def from_pretrained(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"])
class_definition
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0
/Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py
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class StableDiffusionControlNetInpaintPipeline(metaclass=DummyObject): _backends = ["torch", "transformers"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch", "transformers"]) @classmethod def from_config(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"]) @classmethod def from_pretrained(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"])
class_definition
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0
/Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py
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class StableDiffusionControlNetPAGInpaintPipeline(metaclass=DummyObject): _backends = ["torch", "transformers"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch", "transformers"]) @classmethod def from_config(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"]) @classmethod def from_pretrained(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"])
class_definition
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0
/Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py
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class StableDiffusionControlNetPAGPipeline(metaclass=DummyObject): _backends = ["torch", "transformers"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch", "transformers"]) @classmethod def from_config(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"]) @classmethod def from_pretrained(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"])
class_definition
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0
/Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py
null
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class StableDiffusionControlNetPipeline(metaclass=DummyObject): _backends = ["torch", "transformers"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch", "transformers"]) @classmethod def from_config(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"]) @classmethod def from_pretrained(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"])
class_definition
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0
/Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py
null
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class StableDiffusionControlNetXSPipeline(metaclass=DummyObject): _backends = ["torch", "transformers"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch", "transformers"]) @classmethod def from_config(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"]) @classmethod def from_pretrained(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"])
class_definition
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0
/Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py
null
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class StableDiffusionDepth2ImgPipeline(metaclass=DummyObject): _backends = ["torch", "transformers"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch", "transformers"]) @classmethod def from_config(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"]) @classmethod def from_pretrained(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"])
class_definition
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0
/Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py
null
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class StableDiffusionDiffEditPipeline(metaclass=DummyObject): _backends = ["torch", "transformers"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch", "transformers"]) @classmethod def from_config(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"]) @classmethod def from_pretrained(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"])
class_definition
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0
/Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py
null
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class StableDiffusionGLIGENPipeline(metaclass=DummyObject): _backends = ["torch", "transformers"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch", "transformers"]) @classmethod def from_config(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"]) @classmethod def from_pretrained(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"])
class_definition
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0
/Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py
null
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class StableDiffusionGLIGENTextImagePipeline(metaclass=DummyObject): _backends = ["torch", "transformers"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch", "transformers"]) @classmethod def from_config(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"]) @classmethod def from_pretrained(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"])
class_definition
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51,044
0
/Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py
null
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class StableDiffusionImageVariationPipeline(metaclass=DummyObject): _backends = ["torch", "transformers"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch", "transformers"]) @classmethod def from_config(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"]) @classmethod def from_pretrained(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"])
class_definition
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51,499
0
/Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py
null
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class StableDiffusionImg2ImgPipeline(metaclass=DummyObject): _backends = ["torch", "transformers"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch", "transformers"]) @classmethod def from_config(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"]) @classmethod def from_pretrained(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"])
class_definition
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0
/Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py
null
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class StableDiffusionInpaintPipeline(metaclass=DummyObject): _backends = ["torch", "transformers"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch", "transformers"]) @classmethod def from_config(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"]) @classmethod def from_pretrained(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"])
class_definition
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0
/Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py
null
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class StableDiffusionInpaintPipelineLegacy(metaclass=DummyObject): _backends = ["torch", "transformers"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch", "transformers"]) @classmethod def from_config(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"]) @classmethod def from_pretrained(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"])
class_definition
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/Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py
null
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class StableDiffusionInstructPix2PixPipeline(metaclass=DummyObject): _backends = ["torch", "transformers"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch", "transformers"]) @classmethod def from_config(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"]) @classmethod def from_pretrained(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"])
class_definition
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0
/Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py
null
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class StableDiffusionLatentUpscalePipeline(metaclass=DummyObject): _backends = ["torch", "transformers"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch", "transformers"]) @classmethod def from_config(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"]) @classmethod def from_pretrained(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"])
class_definition
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0
/Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py
null
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class StableDiffusionLDM3DPipeline(metaclass=DummyObject): _backends = ["torch", "transformers"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch", "transformers"]) @classmethod def from_config(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"]) @classmethod def from_pretrained(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"])
class_definition
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0
/Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py
null
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class StableDiffusionModelEditingPipeline(metaclass=DummyObject): _backends = ["torch", "transformers"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch", "transformers"]) @classmethod def from_config(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"]) @classmethod def from_pretrained(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"])
class_definition
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0
/Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py
null
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class StableDiffusionPAGImg2ImgPipeline(metaclass=DummyObject): _backends = ["torch", "transformers"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch", "transformers"]) @classmethod def from_config(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"]) @classmethod def from_pretrained(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"])
class_definition
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0
/Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py
null
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class StableDiffusionPAGInpaintPipeline(metaclass=DummyObject): _backends = ["torch", "transformers"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch", "transformers"]) @classmethod def from_config(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"]) @classmethod def from_pretrained(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"])
class_definition
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0
/Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py
null
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class StableDiffusionPAGPipeline(metaclass=DummyObject): _backends = ["torch", "transformers"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch", "transformers"]) @classmethod def from_config(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"]) @classmethod def from_pretrained(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"])
class_definition
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0
/Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py
null
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class StableDiffusionPanoramaPipeline(metaclass=DummyObject): _backends = ["torch", "transformers"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch", "transformers"]) @classmethod def from_config(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"]) @classmethod def from_pretrained(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"])
class_definition
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0
/Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py
null
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class StableDiffusionParadigmsPipeline(metaclass=DummyObject): _backends = ["torch", "transformers"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch", "transformers"]) @classmethod def from_config(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"]) @classmethod def from_pretrained(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"])
class_definition
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0
/Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py
null
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class StableDiffusionPipeline(metaclass=DummyObject): _backends = ["torch", "transformers"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch", "transformers"]) @classmethod def from_config(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"]) @classmethod def from_pretrained(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"])
class_definition
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0
/Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py
null
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class StableDiffusionPipelineSafe(metaclass=DummyObject): _backends = ["torch", "transformers"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch", "transformers"]) @classmethod def from_config(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"]) @classmethod def from_pretrained(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"])
class_definition
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/Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py
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class StableDiffusionPix2PixZeroPipeline(metaclass=DummyObject): _backends = ["torch", "transformers"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch", "transformers"]) @classmethod def from_config(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"]) @classmethod def from_pretrained(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"])
class_definition
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0
/Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py
null
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class StableDiffusionSAGPipeline(metaclass=DummyObject): _backends = ["torch", "transformers"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch", "transformers"]) @classmethod def from_config(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"]) @classmethod def from_pretrained(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"])
class_definition
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0
/Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py
null
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class StableDiffusionUpscalePipeline(metaclass=DummyObject): _backends = ["torch", "transformers"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch", "transformers"]) @classmethod def from_config(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"]) @classmethod def from_pretrained(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"])
class_definition
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0
/Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py
null
681
class StableDiffusionXLAdapterPipeline(metaclass=DummyObject): _backends = ["torch", "transformers"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch", "transformers"]) @classmethod def from_config(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"]) @classmethod def from_pretrained(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"])
class_definition
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0
/Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py
null
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class StableDiffusionXLControlNetImg2ImgPipeline(metaclass=DummyObject): _backends = ["torch", "transformers"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch", "transformers"]) @classmethod def from_config(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"]) @classmethod def from_pretrained(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"])
class_definition
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0
/Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py
null
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class StableDiffusionXLControlNetInpaintPipeline(metaclass=DummyObject): _backends = ["torch", "transformers"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch", "transformers"]) @classmethod def from_config(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"]) @classmethod def from_pretrained(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"])
class_definition
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0
/Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py
null
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class StableDiffusionXLControlNetPAGImg2ImgPipeline(metaclass=DummyObject): _backends = ["torch", "transformers"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch", "transformers"]) @classmethod def from_config(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"]) @classmethod def from_pretrained(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"])
class_definition
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/Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py
null
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class StableDiffusionXLControlNetPAGPipeline(metaclass=DummyObject): _backends = ["torch", "transformers"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch", "transformers"]) @classmethod def from_config(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"]) @classmethod def from_pretrained(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"])
class_definition
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class StableDiffusionXLControlNetPipeline(metaclass=DummyObject): _backends = ["torch", "transformers"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch", "transformers"]) @classmethod def from_config(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"]) @classmethod def from_pretrained(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"])
class_definition
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/Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py
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class StableDiffusionXLControlNetUnionImg2ImgPipeline(metaclass=DummyObject): _backends = ["torch", "transformers"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch", "transformers"]) @classmethod def from_config(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"]) @classmethod def from_pretrained(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"])
class_definition
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/Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py
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class StableDiffusionXLControlNetUnionInpaintPipeline(metaclass=DummyObject): _backends = ["torch", "transformers"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch", "transformers"]) @classmethod def from_config(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"]) @classmethod def from_pretrained(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"])
class_definition
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/Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py
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class StableDiffusionXLControlNetUnionPipeline(metaclass=DummyObject): _backends = ["torch", "transformers"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch", "transformers"]) @classmethod def from_config(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"]) @classmethod def from_pretrained(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"])
class_definition
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/Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py
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class StableDiffusionXLControlNetXSPipeline(metaclass=DummyObject): _backends = ["torch", "transformers"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch", "transformers"]) @classmethod def from_config(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"]) @classmethod def from_pretrained(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"])
class_definition
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/Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py
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class StableDiffusionXLImg2ImgPipeline(metaclass=DummyObject): _backends = ["torch", "transformers"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch", "transformers"]) @classmethod def from_config(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"]) @classmethod def from_pretrained(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"])
class_definition
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/Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py
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class StableDiffusionXLInpaintPipeline(metaclass=DummyObject): _backends = ["torch", "transformers"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch", "transformers"]) @classmethod def from_config(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"]) @classmethod def from_pretrained(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"])
class_definition
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/Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py
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class StableDiffusionXLInstructPix2PixPipeline(metaclass=DummyObject): _backends = ["torch", "transformers"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch", "transformers"]) @classmethod def from_config(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"]) @classmethod def from_pretrained(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"])
class_definition
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/Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py
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class StableDiffusionXLPAGImg2ImgPipeline(metaclass=DummyObject): _backends = ["torch", "transformers"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch", "transformers"]) @classmethod def from_config(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"]) @classmethod def from_pretrained(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"])
class_definition
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/Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py
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class StableDiffusionXLPAGInpaintPipeline(metaclass=DummyObject): _backends = ["torch", "transformers"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch", "transformers"]) @classmethod def from_config(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"]) @classmethod def from_pretrained(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"])
class_definition
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/Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py
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class StableDiffusionXLPAGPipeline(metaclass=DummyObject): _backends = ["torch", "transformers"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch", "transformers"]) @classmethod def from_config(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"]) @classmethod def from_pretrained(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"])
class_definition
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/Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py
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class StableDiffusionXLPipeline(metaclass=DummyObject): _backends = ["torch", "transformers"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch", "transformers"]) @classmethod def from_config(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"]) @classmethod def from_pretrained(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"])
class_definition
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/Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py
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class StableUnCLIPImg2ImgPipeline(metaclass=DummyObject): _backends = ["torch", "transformers"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch", "transformers"]) @classmethod def from_config(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"]) @classmethod def from_pretrained(cls, *args, **kwargs): requires_backends(cls, ["torch", "transformers"])
class_definition
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/Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py
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