text stringlengths 41 89.8k | type stringclasses 1
value | start int64 79 258k | end int64 342 260k | depth int64 0 0 | filepath stringlengths 81 164 | parent_class null | class_index int64 0 1.38k |
|---|---|---|---|---|---|---|---|
class FourierEmbedder(nn.Module):
def __init__(self, num_freqs=64, temperature=100):
super().__init__()
self.num_freqs = num_freqs
self.temperature = temperature
freq_bands = temperature ** (torch.arange(num_freqs) / num_freqs)
freq_bands = freq_bands[None, None, None]
... | class_definition | 5,901 | 6,467 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/pipelines/deprecated/versatile_diffusion/modeling_text_unet.py | null | 400 |
class GLIGENTextBoundingboxProjection(nn.Module):
def __init__(self, positive_len, out_dim, feature_type, fourier_freqs=8):
super().__init__()
self.positive_len = positive_len
self.out_dim = out_dim
self.fourier_embedder = FourierEmbedder(num_freqs=fourier_freqs)
self.positi... | class_definition | 6,470 | 9,617 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/pipelines/deprecated/versatile_diffusion/modeling_text_unet.py | null | 401 |
class UNetFlatConditionModel(ModelMixin, ConfigMixin):
r"""
A conditional 2D UNet model that takes a noisy sample, conditional state, and a timestep and returns a sample
shaped output.
This model inherits from [`ModelMixin`]. Check the superclass documentation for it's generic methods implemented
f... | class_definition | 9,620 | 71,422 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/pipelines/deprecated/versatile_diffusion/modeling_text_unet.py | null | 402 |
class LinearMultiDim(nn.Linear):
def __init__(self, in_features, out_features=None, second_dim=4, *args, **kwargs):
in_features = [in_features, second_dim, 1] if isinstance(in_features, int) else list(in_features)
if out_features is None:
out_features = in_features
out_features =... | class_definition | 71,425 | 72,406 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/pipelines/deprecated/versatile_diffusion/modeling_text_unet.py | null | 403 |
class ResnetBlockFlat(nn.Module):
def __init__(
self,
*,
in_channels,
out_channels=None,
dropout=0.0,
temb_channels=512,
groups=32,
groups_out=None,
pre_norm=True,
eps=1e-6,
time_embedding_norm="default",
use_in_shortcut... | class_definition | 72,409 | 75,878 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/pipelines/deprecated/versatile_diffusion/modeling_text_unet.py | null | 404 |
class DownBlockFlat(nn.Module):
def __init__(
self,
in_channels: int,
out_channels: int,
temb_channels: int,
dropout: float = 0.0,
num_layers: int = 1,
resnet_eps: float = 1e-6,
resnet_time_scale_shift: str = "default",
resnet_act_fn: str = "sw... | class_definition | 75,881 | 78,877 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/pipelines/deprecated/versatile_diffusion/modeling_text_unet.py | null | 405 |
class CrossAttnDownBlockFlat(nn.Module):
def __init__(
self,
in_channels: int,
out_channels: int,
temb_channels: int,
dropout: float = 0.0,
num_layers: int = 1,
transformer_layers_per_block: Union[int, Tuple[int]] = 1,
resnet_eps: float = 1e-6,
... | class_definition | 78,880 | 85,267 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/pipelines/deprecated/versatile_diffusion/modeling_text_unet.py | null | 406 |
class UpBlockFlat(nn.Module):
def __init__(
self,
in_channels: int,
prev_output_channel: int,
out_channels: int,
temb_channels: int,
resolution_idx: Optional[int] = None,
dropout: float = 0.0,
num_layers: int = 1,
resnet_eps: float = 1e-6,
... | class_definition | 85,420 | 89,705 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/pipelines/deprecated/versatile_diffusion/modeling_text_unet.py | null | 407 |
class CrossAttnUpBlockFlat(nn.Module):
def __init__(
self,
in_channels: int,
out_channels: int,
prev_output_channel: int,
temb_channels: int,
resolution_idx: Optional[int] = None,
dropout: float = 0.0,
num_layers: int = 1,
transformer_layers_pe... | class_definition | 89,885 | 96,987 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/pipelines/deprecated/versatile_diffusion/modeling_text_unet.py | null | 408 |
class UNetMidBlockFlat(nn.Module):
"""
A 2D UNet mid-block [`UNetMidBlockFlat`] with multiple residual blocks and optional attention blocks.
Args:
in_channels (`int`): The number of input channels.
temb_channels (`int`): The number of temporal embedding channels.
dropout (`float`, *... | class_definition | 97,127 | 104,910 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/pipelines/deprecated/versatile_diffusion/modeling_text_unet.py | null | 409 |
class UNetMidBlockFlatCrossAttn(nn.Module):
def __init__(
self,
in_channels: int,
temb_channels: int,
out_channels: Optional[int] = None,
dropout: float = 0.0,
num_layers: int = 1,
transformer_layers_per_block: Union[int, Tuple[int]] = 1,
resnet_eps: f... | class_definition | 105,077 | 111,471 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/pipelines/deprecated/versatile_diffusion/modeling_text_unet.py | null | 410 |
class UNetMidBlockFlatSimpleCrossAttn(nn.Module):
def __init__(
self,
in_channels: int,
temb_channels: int,
dropout: float = 0.0,
num_layers: int = 1,
resnet_eps: float = 1e-6,
resnet_time_scale_shift: str = "default",
resnet_act_fn: str = "swish",
... | class_definition | 111,656 | 116,682 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/pipelines/deprecated/versatile_diffusion/modeling_text_unet.py | null | 411 |
class VersatileDiffusionDualGuidedPipeline(DiffusionPipeline):
r"""
Pipeline for image-text dual-guided generation using Versatile Diffusion.
This model inherits from [`DiffusionPipeline`]. Check the superclass documentation for the generic methods
implemented for all pipelines (downloading, saving, ru... | class_definition | 1,393 | 27,207 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/pipelines/deprecated/versatile_diffusion/pipeline_versatile_diffusion_dual_guided.py | null | 412 |
class VersatileDiffusionImageVariationPipeline(DiffusionPipeline):
r"""
Pipeline for image variation using Versatile Diffusion.
This model inherits from [`DiffusionPipeline`]. Check the superclass documentation for the generic methods
implemented for all pipelines (downloading, saving, running on a par... | class_definition | 1,222 | 19,721 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/pipelines/deprecated/versatile_diffusion/pipeline_versatile_diffusion_image_variation.py | null | 413 |
class VersatileDiffusionTextToImagePipeline(DiffusionPipeline):
r"""
Pipeline for text-to-image generation using Versatile Diffusion.
This model inherits from [`DiffusionPipeline`]. Check the superclass documentation for the generic methods
implemented for all pipelines (downloading, saving, running on... | class_definition | 1,274 | 22,925 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/pipelines/deprecated/versatile_diffusion/pipeline_versatile_diffusion_text_to_image.py | null | 414 |
class VersatileDiffusionPipeline(DiffusionPipeline):
r"""
Pipeline for text-to-image generation using Stable Diffusion.
This model inherits from [`DiffusionPipeline`]. Check the superclass documentation for the generic methods
implemented for all pipelines (downloading, saving, running on a particular ... | class_definition | 737 | 21,887 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/pipelines/deprecated/versatile_diffusion/pipeline_versatile_diffusion.py | null | 415 |
class StableDiffusionKDiffusionPipeline(metaclass=DummyObject):
_backends = ["torch", "transformers", "k_diffusion"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch", "transformers", "k_diffusion"])
@classmethod
def from_config(cls, *args, **kwargs):
requires_backe... | class_definition | 129 | 637 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_and_k_diffusion_objects.py | null | 416 |
class StableDiffusionXLKDiffusionPipeline(metaclass=DummyObject):
_backends = ["torch", "transformers", "k_diffusion"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch", "transformers", "k_diffusion"])
@classmethod
def from_config(cls, *args, **kwargs):
requires_bac... | class_definition | 640 | 1,150 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_and_k_diffusion_objects.py | null | 417 |
class OnnxRuntimeModel(metaclass=DummyObject):
_backends = ["onnx"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["onnx"])
@classmethod
def from_config(cls, *args, **kwargs):
requires_backends(cls, ["onnx"])
@classmethod
def from_pretrained(cls, *args, **kwargs... | class_definition | 129 | 492 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_onnx_objects.py | null | 418 |
class EmptyTqdm:
"""Dummy tqdm which doesn't do anything."""
def __init__(self, *args, **kwargs): # pylint: disable=unused-argument
self._iterator = args[0] if args else None
def __iter__(self):
return iter(self._iterator)
def __getattr__(self, _):
"""Return empty function.""... | class_definition | 8,060 | 8,611 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/logging.py | null | 419 |
class _tqdm_cls:
def __call__(self, *args, **kwargs):
if _tqdm_active:
return tqdm_lib.tqdm(*args, **kwargs)
else:
return EmptyTqdm(*args, **kwargs)
def set_lock(self, *args, **kwargs):
self._lock = None
if _tqdm_active:
return tqdm_lib.tqdm.s... | class_definition | 8,614 | 9,052 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/logging.py | null | 420 |
class OnnxStableDiffusionImg2ImgPipeline(metaclass=DummyObject):
_backends = ["torch", "transformers", "onnx"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch", "transformers", "onnx"])
@classmethod
def from_config(cls, *args, **kwargs):
requires_backends(cls, ["to... | class_definition | 129 | 610 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_and_onnx_objects.py | null | 421 |
class OnnxStableDiffusionInpaintPipeline(metaclass=DummyObject):
_backends = ["torch", "transformers", "onnx"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch", "transformers", "onnx"])
@classmethod
def from_config(cls, *args, **kwargs):
requires_backends(cls, ["to... | class_definition | 613 | 1,094 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_and_onnx_objects.py | null | 422 |
class OnnxStableDiffusionInpaintPipelineLegacy(metaclass=DummyObject):
_backends = ["torch", "transformers", "onnx"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch", "transformers", "onnx"])
@classmethod
def from_config(cls, *args, **kwargs):
requires_backends(cls... | class_definition | 1,097 | 1,584 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_and_onnx_objects.py | null | 423 |
class OnnxStableDiffusionPipeline(metaclass=DummyObject):
_backends = ["torch", "transformers", "onnx"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch", "transformers", "onnx"])
@classmethod
def from_config(cls, *args, **kwargs):
requires_backends(cls, ["torch", "... | class_definition | 1,587 | 2,061 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_and_onnx_objects.py | null | 424 |
class OnnxStableDiffusionUpscalePipeline(metaclass=DummyObject):
_backends = ["torch", "transformers", "onnx"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch", "transformers", "onnx"])
@classmethod
def from_config(cls, *args, **kwargs):
requires_backends(cls, ["to... | class_definition | 2,064 | 2,545 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_and_onnx_objects.py | null | 425 |
class StableDiffusionOnnxPipeline(metaclass=DummyObject):
_backends = ["torch", "transformers", "onnx"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch", "transformers", "onnx"])
@classmethod
def from_config(cls, *args, **kwargs):
requires_backends(cls, ["torch", "... | class_definition | 2,548 | 3,022 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_and_onnx_objects.py | null | 426 |
class AudioDiffusionPipeline(metaclass=DummyObject):
_backends = ["torch", "librosa"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch", "librosa"])
@classmethod
def from_config(cls, *args, **kwargs):
requires_backends(cls, ["torch", "librosa"])
@classmethod
... | class_definition | 129 | 546 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_librosa_objects.py | null | 427 |
class Mel(metaclass=DummyObject):
_backends = ["torch", "librosa"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch", "librosa"])
@classmethod
def from_config(cls, *args, **kwargs):
requires_backends(cls, ["torch", "librosa"])
@classmethod
def from_pretrain... | class_definition | 549 | 947 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_librosa_objects.py | null | 428 |
class CosineDPMSolverMultistepScheduler(metaclass=DummyObject):
_backends = ["torch", "torchsde"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch", "torchsde"])
@classmethod
def from_config(cls, *args, **kwargs):
requires_backends(cls, ["torch", "torchsde"])
@... | class_definition | 129 | 561 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_torchsde_objects.py | null | 429 |
class DPMSolverSDEScheduler(metaclass=DummyObject):
_backends = ["torch", "torchsde"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch", "torchsde"])
@classmethod
def from_config(cls, *args, **kwargs):
requires_backends(cls, ["torch", "torchsde"])
@classmethod
... | class_definition | 564 | 984 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_torchsde_objects.py | null | 430 |
class AllegroTransformer3DModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
@classmethod
def from_config(cls, *args, **kwargs):
requires_backends(cls, ["torch"])
@classmethod
def from_pretrained(cls, *ar... | class_definition | 129 | 505 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_pt_objects.py | null | 431 |
class AsymmetricAutoencoderKL(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
@classmethod
def from_config(cls, *args, **kwargs):
requires_backends(cls, ["torch"])
@classmethod
def from_pretrained(cls, *args... | class_definition | 508 | 882 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_pt_objects.py | null | 432 |
class AuraFlowTransformer2DModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
@classmethod
def from_config(cls, *args, **kwargs):
requires_backends(cls, ["torch"])
@classmethod
def from_pretrained(cls, *a... | class_definition | 885 | 1,262 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_pt_objects.py | null | 433 |
class AutoencoderDC(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
@classmethod
def from_config(cls, *args, **kwargs):
requires_backends(cls, ["torch"])
@classmethod
def from_pretrained(cls, *args, **kwargs... | class_definition | 1,265 | 1,629 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_pt_objects.py | null | 434 |
class AutoencoderKL(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
@classmethod
def from_config(cls, *args, **kwargs):
requires_backends(cls, ["torch"])
@classmethod
def from_pretrained(cls, *args, **kwargs... | class_definition | 1,632 | 1,996 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_pt_objects.py | null | 435 |
class AutoencoderKLAllegro(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
@classmethod
def from_config(cls, *args, **kwargs):
requires_backends(cls, ["torch"])
@classmethod
def from_pretrained(cls, *args, *... | class_definition | 1,999 | 2,370 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_pt_objects.py | null | 436 |
class AutoencoderKLCogVideoX(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
@classmethod
def from_config(cls, *args, **kwargs):
requires_backends(cls, ["torch"])
@classmethod
def from_pretrained(cls, *args,... | class_definition | 2,373 | 2,746 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_pt_objects.py | null | 437 |
class AutoencoderKLHunyuanVideo(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
@classmethod
def from_config(cls, *args, **kwargs):
requires_backends(cls, ["torch"])
@classmethod
def from_pretrained(cls, *ar... | class_definition | 2,749 | 3,125 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_pt_objects.py | null | 438 |
class AutoencoderKLLTXVideo(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
@classmethod
def from_config(cls, *args, **kwargs):
requires_backends(cls, ["torch"])
@classmethod
def from_pretrained(cls, *args, ... | class_definition | 3,128 | 3,500 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_pt_objects.py | null | 439 |
class AutoencoderKLMochi(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
@classmethod
def from_config(cls, *args, **kwargs):
requires_backends(cls, ["torch"])
@classmethod
def from_pretrained(cls, *args, **k... | class_definition | 3,503 | 3,872 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_pt_objects.py | null | 440 |
class AutoencoderKLTemporalDecoder(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
@classmethod
def from_config(cls, *args, **kwargs):
requires_backends(cls, ["torch"])
@classmethod
def from_pretrained(cls, ... | class_definition | 3,875 | 4,254 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_pt_objects.py | null | 441 |
class AutoencoderOobleck(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
@classmethod
def from_config(cls, *args, **kwargs):
requires_backends(cls, ["torch"])
@classmethod
def from_pretrained(cls, *args, **k... | class_definition | 4,257 | 4,626 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_pt_objects.py | null | 442 |
class AutoencoderTiny(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
@classmethod
def from_config(cls, *args, **kwargs):
requires_backends(cls, ["torch"])
@classmethod
def from_pretrained(cls, *args, **kwar... | class_definition | 4,629 | 4,995 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_pt_objects.py | null | 443 |
class CogVideoXTransformer3DModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
@classmethod
def from_config(cls, *args, **kwargs):
requires_backends(cls, ["torch"])
@classmethod
def from_pretrained(cls, *... | class_definition | 4,998 | 5,376 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_pt_objects.py | null | 444 |
class CogView3PlusTransformer2DModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
@classmethod
def from_config(cls, *args, **kwargs):
requires_backends(cls, ["torch"])
@classmethod
def from_pretrained(cls... | class_definition | 5,379 | 5,760 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_pt_objects.py | null | 445 |
class ConsisIDTransformer3DModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
@classmethod
def from_config(cls, *args, **kwargs):
requires_backends(cls, ["torch"])
@classmethod
def from_pretrained(cls, *a... | class_definition | 5,763 | 6,140 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_pt_objects.py | null | 446 |
class ConsistencyDecoderVAE(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
@classmethod
def from_config(cls, *args, **kwargs):
requires_backends(cls, ["torch"])
@classmethod
def from_pretrained(cls, *args, ... | class_definition | 6,143 | 6,515 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_pt_objects.py | null | 447 |
class ControlNetModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
@classmethod
def from_config(cls, *args, **kwargs):
requires_backends(cls, ["torch"])
@classmethod
def from_pretrained(cls, *args, **kwar... | class_definition | 6,518 | 6,884 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_pt_objects.py | null | 448 |
class ControlNetUnionModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
@classmethod
def from_config(cls, *args, **kwargs):
requires_backends(cls, ["torch"])
@classmethod
def from_pretrained(cls, *args, *... | class_definition | 6,887 | 7,258 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_pt_objects.py | null | 449 |
class ControlNetXSAdapter(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
@classmethod
def from_config(cls, *args, **kwargs):
requires_backends(cls, ["torch"])
@classmethod
def from_pretrained(cls, *args, **... | class_definition | 7,261 | 7,631 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_pt_objects.py | null | 450 |
class DiTTransformer2DModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
@classmethod
def from_config(cls, *args, **kwargs):
requires_backends(cls, ["torch"])
@classmethod
def from_pretrained(cls, *args, ... | class_definition | 7,634 | 8,006 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_pt_objects.py | null | 451 |
class FluxControlNetModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
@classmethod
def from_config(cls, *args, **kwargs):
requires_backends(cls, ["torch"])
@classmethod
def from_pretrained(cls, *args, **... | class_definition | 8,009 | 8,379 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_pt_objects.py | null | 452 |
class FluxMultiControlNetModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
@classmethod
def from_config(cls, *args, **kwargs):
requires_backends(cls, ["torch"])
@classmethod
def from_pretrained(cls, *arg... | class_definition | 8,382 | 8,757 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_pt_objects.py | null | 453 |
class FluxTransformer2DModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
@classmethod
def from_config(cls, *args, **kwargs):
requires_backends(cls, ["torch"])
@classmethod
def from_pretrained(cls, *args,... | class_definition | 8,760 | 9,133 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_pt_objects.py | null | 454 |
class HunyuanDiT2DControlNetModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
@classmethod
def from_config(cls, *args, **kwargs):
requires_backends(cls, ["torch"])
@classmethod
def from_pretrained(cls, *... | class_definition | 9,136 | 9,514 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_pt_objects.py | null | 455 |
class HunyuanDiT2DModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
@classmethod
def from_config(cls, *args, **kwargs):
requires_backends(cls, ["torch"])
@classmethod
def from_pretrained(cls, *args, **kw... | class_definition | 9,517 | 9,885 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_pt_objects.py | null | 456 |
class HunyuanDiT2DMultiControlNetModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
@classmethod
def from_config(cls, *args, **kwargs):
requires_backends(cls, ["torch"])
@classmethod
def from_pretrained(c... | class_definition | 9,888 | 10,271 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_pt_objects.py | null | 457 |
class HunyuanVideoTransformer3DModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
@classmethod
def from_config(cls, *args, **kwargs):
requires_backends(cls, ["torch"])
@classmethod
def from_pretrained(cls... | class_definition | 10,274 | 10,655 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_pt_objects.py | null | 458 |
class I2VGenXLUNet(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
@classmethod
def from_config(cls, *args, **kwargs):
requires_backends(cls, ["torch"])
@classmethod
def from_pretrained(cls, *args, **kwargs)... | class_definition | 10,658 | 11,021 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_pt_objects.py | null | 459 |
class Kandinsky3UNet(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
@classmethod
def from_config(cls, *args, **kwargs):
requires_backends(cls, ["torch"])
@classmethod
def from_pretrained(cls, *args, **kwarg... | class_definition | 11,024 | 11,389 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_pt_objects.py | null | 460 |
class LatteTransformer3DModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
@classmethod
def from_config(cls, *args, **kwargs):
requires_backends(cls, ["torch"])
@classmethod
def from_pretrained(cls, *args... | class_definition | 11,392 | 11,766 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_pt_objects.py | null | 461 |
class LTXVideoTransformer3DModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
@classmethod
def from_config(cls, *args, **kwargs):
requires_backends(cls, ["torch"])
@classmethod
def from_pretrained(cls, *a... | class_definition | 11,769 | 12,146 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_pt_objects.py | null | 462 |
class LuminaNextDiT2DModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
@classmethod
def from_config(cls, *args, **kwargs):
requires_backends(cls, ["torch"])
@classmethod
def from_pretrained(cls, *args, *... | class_definition | 12,149 | 12,520 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_pt_objects.py | null | 463 |
class MochiTransformer3DModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
@classmethod
def from_config(cls, *args, **kwargs):
requires_backends(cls, ["torch"])
@classmethod
def from_pretrained(cls, *args... | class_definition | 12,523 | 12,897 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_pt_objects.py | null | 464 |
class ModelMixin(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
@classmethod
def from_config(cls, *args, **kwargs):
requires_backends(cls, ["torch"])
@classmethod
def from_pretrained(cls, *args, **kwargs):
... | class_definition | 12,900 | 13,261 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_pt_objects.py | null | 465 |
class MotionAdapter(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
@classmethod
def from_config(cls, *args, **kwargs):
requires_backends(cls, ["torch"])
@classmethod
def from_pretrained(cls, *args, **kwargs... | class_definition | 13,264 | 13,628 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_pt_objects.py | null | 466 |
class MultiAdapter(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
@classmethod
def from_config(cls, *args, **kwargs):
requires_backends(cls, ["torch"])
@classmethod
def from_pretrained(cls, *args, **kwargs)... | class_definition | 13,631 | 13,994 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_pt_objects.py | null | 467 |
class MultiControlNetModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
@classmethod
def from_config(cls, *args, **kwargs):
requires_backends(cls, ["torch"])
@classmethod
def from_pretrained(cls, *args, *... | class_definition | 13,997 | 14,368 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_pt_objects.py | null | 468 |
class PixArtTransformer2DModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
@classmethod
def from_config(cls, *args, **kwargs):
requires_backends(cls, ["torch"])
@classmethod
def from_pretrained(cls, *arg... | class_definition | 14,371 | 14,746 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_pt_objects.py | null | 469 |
class PriorTransformer(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
@classmethod
def from_config(cls, *args, **kwargs):
requires_backends(cls, ["torch"])
@classmethod
def from_pretrained(cls, *args, **kwa... | class_definition | 14,749 | 15,116 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_pt_objects.py | null | 470 |
class SanaTransformer2DModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
@classmethod
def from_config(cls, *args, **kwargs):
requires_backends(cls, ["torch"])
@classmethod
def from_pretrained(cls, *args,... | class_definition | 15,119 | 15,492 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_pt_objects.py | null | 471 |
class SD3ControlNetModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
@classmethod
def from_config(cls, *args, **kwargs):
requires_backends(cls, ["torch"])
@classmethod
def from_pretrained(cls, *args, **k... | class_definition | 15,495 | 15,864 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_pt_objects.py | null | 472 |
class SD3MultiControlNetModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
@classmethod
def from_config(cls, *args, **kwargs):
requires_backends(cls, ["torch"])
@classmethod
def from_pretrained(cls, *args... | class_definition | 15,867 | 16,241 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_pt_objects.py | null | 473 |
class SD3Transformer2DModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
@classmethod
def from_config(cls, *args, **kwargs):
requires_backends(cls, ["torch"])
@classmethod
def from_pretrained(cls, *args, ... | class_definition | 16,244 | 16,616 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_pt_objects.py | null | 474 |
class SparseControlNetModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
@classmethod
def from_config(cls, *args, **kwargs):
requires_backends(cls, ["torch"])
@classmethod
def from_pretrained(cls, *args, ... | class_definition | 16,619 | 16,991 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_pt_objects.py | null | 475 |
class StableAudioDiTModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
@classmethod
def from_config(cls, *args, **kwargs):
requires_backends(cls, ["torch"])
@classmethod
def from_pretrained(cls, *args, **... | class_definition | 16,994 | 17,364 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_pt_objects.py | null | 476 |
class T2IAdapter(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
@classmethod
def from_config(cls, *args, **kwargs):
requires_backends(cls, ["torch"])
@classmethod
def from_pretrained(cls, *args, **kwargs):
... | class_definition | 17,367 | 17,728 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_pt_objects.py | null | 477 |
class T5FilmDecoder(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
@classmethod
def from_config(cls, *args, **kwargs):
requires_backends(cls, ["torch"])
@classmethod
def from_pretrained(cls, *args, **kwargs... | class_definition | 17,731 | 18,095 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_pt_objects.py | null | 478 |
class Transformer2DModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
@classmethod
def from_config(cls, *args, **kwargs):
requires_backends(cls, ["torch"])
@classmethod
def from_pretrained(cls, *args, **k... | class_definition | 18,098 | 18,467 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_pt_objects.py | null | 479 |
class UNet1DModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
@classmethod
def from_config(cls, *args, **kwargs):
requires_backends(cls, ["torch"])
@classmethod
def from_pretrained(cls, *args, **kwargs):... | class_definition | 18,470 | 18,832 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_pt_objects.py | null | 480 |
class UNet2DConditionModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
@classmethod
def from_config(cls, *args, **kwargs):
requires_backends(cls, ["torch"])
@classmethod
def from_pretrained(cls, *args, *... | class_definition | 18,835 | 19,206 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_pt_objects.py | null | 481 |
class UNet2DModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
@classmethod
def from_config(cls, *args, **kwargs):
requires_backends(cls, ["torch"])
@classmethod
def from_pretrained(cls, *args, **kwargs):... | class_definition | 19,209 | 19,571 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_pt_objects.py | null | 482 |
class UNet3DConditionModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
@classmethod
def from_config(cls, *args, **kwargs):
requires_backends(cls, ["torch"])
@classmethod
def from_pretrained(cls, *args, *... | class_definition | 19,574 | 19,945 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_pt_objects.py | null | 483 |
class UNetControlNetXSModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
@classmethod
def from_config(cls, *args, **kwargs):
requires_backends(cls, ["torch"])
@classmethod
def from_pretrained(cls, *args, ... | class_definition | 19,948 | 20,320 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_pt_objects.py | null | 484 |
class UNetMotionModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
@classmethod
def from_config(cls, *args, **kwargs):
requires_backends(cls, ["torch"])
@classmethod
def from_pretrained(cls, *args, **kwar... | class_definition | 20,323 | 20,689 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_pt_objects.py | null | 485 |
class UNetSpatioTemporalConditionModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
@classmethod
def from_config(cls, *args, **kwargs):
requires_backends(cls, ["torch"])
@classmethod
def from_pretrained(c... | class_definition | 20,692 | 21,075 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_pt_objects.py | null | 486 |
class UVit2DModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
@classmethod
def from_config(cls, *args, **kwargs):
requires_backends(cls, ["torch"])
@classmethod
def from_pretrained(cls, *args, **kwargs):... | class_definition | 21,078 | 21,440 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_pt_objects.py | null | 487 |
class VQModel(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
@classmethod
def from_config(cls, *args, **kwargs):
requires_backends(cls, ["torch"])
@classmethod
def from_pretrained(cls, *args, **kwargs):
... | class_definition | 21,443 | 21,801 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_pt_objects.py | null | 488 |
class AudioPipelineOutput(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
@classmethod
def from_config(cls, *args, **kwargs):
requires_backends(cls, ["torch"])
@classmethod
def from_pretrained(cls, *args, **... | class_definition | 22,664 | 23,034 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_pt_objects.py | null | 489 |
class AutoPipelineForImage2Image(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
@classmethod
def from_config(cls, *args, **kwargs):
requires_backends(cls, ["torch"])
@classmethod
def from_pretrained(cls, *a... | class_definition | 23,037 | 23,414 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_pt_objects.py | null | 490 |
class AutoPipelineForInpainting(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
@classmethod
def from_config(cls, *args, **kwargs):
requires_backends(cls, ["torch"])
@classmethod
def from_pretrained(cls, *ar... | class_definition | 23,417 | 23,793 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_pt_objects.py | null | 491 |
class AutoPipelineForText2Image(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
@classmethod
def from_config(cls, *args, **kwargs):
requires_backends(cls, ["torch"])
@classmethod
def from_pretrained(cls, *ar... | class_definition | 23,796 | 24,172 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_pt_objects.py | null | 492 |
class BlipDiffusionControlNetPipeline(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
@classmethod
def from_config(cls, *args, **kwargs):
requires_backends(cls, ["torch"])
@classmethod
def from_pretrained(cl... | class_definition | 24,175 | 24,557 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_pt_objects.py | null | 493 |
class BlipDiffusionPipeline(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
@classmethod
def from_config(cls, *args, **kwargs):
requires_backends(cls, ["torch"])
@classmethod
def from_pretrained(cls, *args, ... | class_definition | 24,560 | 24,932 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_pt_objects.py | null | 494 |
class CLIPImageProjection(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
@classmethod
def from_config(cls, *args, **kwargs):
requires_backends(cls, ["torch"])
@classmethod
def from_pretrained(cls, *args, **... | class_definition | 24,935 | 25,305 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_pt_objects.py | null | 495 |
class ConsistencyModelPipeline(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
@classmethod
def from_config(cls, *args, **kwargs):
requires_backends(cls, ["torch"])
@classmethod
def from_pretrained(cls, *arg... | class_definition | 25,308 | 25,683 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_pt_objects.py | null | 496 |
class DanceDiffusionPipeline(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
@classmethod
def from_config(cls, *args, **kwargs):
requires_backends(cls, ["torch"])
@classmethod
def from_pretrained(cls, *args,... | class_definition | 25,686 | 26,059 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_pt_objects.py | null | 497 |
class DDIMPipeline(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
@classmethod
def from_config(cls, *args, **kwargs):
requires_backends(cls, ["torch"])
@classmethod
def from_pretrained(cls, *args, **kwargs)... | class_definition | 26,062 | 26,425 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_pt_objects.py | null | 498 |
class DDPMPipeline(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
@classmethod
def from_config(cls, *args, **kwargs):
requires_backends(cls, ["torch"])
@classmethod
def from_pretrained(cls, *args, **kwargs)... | class_definition | 26,428 | 26,791 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_pt_objects.py | null | 499 |
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