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class DiffusionPipeline(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):
requires_backends(cls, ["torch"]) | class_definition | 26,794 | 27,162 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_pt_objects.py | null | 500 |
class DiTPipeline(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):
requires_backends(cls, ["torch"]) | class_definition | 27,165 | 27,527 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_pt_objects.py | null | 501 |
class ImagePipelineOutput(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):
requires_backends(cls, ["torch"]) | class_definition | 27,530 | 27,900 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_pt_objects.py | null | 502 |
class KarrasVePipeline(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):
requires_backends(cls, ["torch"]) | class_definition | 27,903 | 28,270 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_pt_objects.py | null | 503 |
class LDMPipeline(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):
requires_backends(cls, ["torch"]) | class_definition | 28,273 | 28,635 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_pt_objects.py | null | 504 |
class LDMSuperResolutionPipeline(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):
requires_backends(cls, ["torch"]) | class_definition | 28,638 | 29,015 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_pt_objects.py | null | 505 |
class PNDMPipeline(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):
requires_backends(cls, ["torch"]) | class_definition | 29,018 | 29,381 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_pt_objects.py | null | 506 |
class RePaintPipeline(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):
requires_backends(cls, ["torch"]) | class_definition | 29,384 | 29,750 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_pt_objects.py | null | 507 |
class ScoreSdeVePipeline(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):
requires_backends(cls, ["torch"]) | class_definition | 29,753 | 30,122 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_pt_objects.py | null | 508 |
class StableDiffusionMixin(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):
requires_backends(cls, ["torch"]) | class_definition | 30,125 | 30,496 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_pt_objects.py | null | 509 |
class DiffusersQuantizer(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):
requires_backends(cls, ["torch"]) | class_definition | 30,499 | 30,868 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_pt_objects.py | null | 510 |
class AmusedScheduler(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):
requires_backends(cls, ["torch"]) | class_definition | 30,871 | 31,237 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_pt_objects.py | null | 511 |
class CMStochasticIterativeScheduler(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):
requires_backends(cls, ["torch"]) | class_definition | 31,240 | 31,621 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_pt_objects.py | null | 512 |
class CogVideoXDDIMScheduler(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):
requires_backends(cls, ["torch"]) | class_definition | 31,624 | 31,997 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_pt_objects.py | null | 513 |
class CogVideoXDPMScheduler(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):
requires_backends(cls, ["torch"]) | class_definition | 32,000 | 32,372 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_pt_objects.py | null | 514 |
class DDIMInverseScheduler(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):
requires_backends(cls, ["torch"]) | class_definition | 32,375 | 32,746 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_pt_objects.py | null | 515 |
class DDIMParallelScheduler(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):
requires_backends(cls, ["torch"]) | class_definition | 32,749 | 33,121 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_pt_objects.py | null | 516 |
class DDIMScheduler(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):
requires_backends(cls, ["torch"]) | class_definition | 33,124 | 33,488 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_pt_objects.py | null | 517 |
class DDPMParallelScheduler(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):
requires_backends(cls, ["torch"]) | class_definition | 33,491 | 33,863 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_pt_objects.py | null | 518 |
class DDPMScheduler(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):
requires_backends(cls, ["torch"]) | class_definition | 33,866 | 34,230 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_pt_objects.py | null | 519 |
class DDPMWuerstchenScheduler(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):
requires_backends(cls, ["torch"]) | class_definition | 34,233 | 34,607 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_pt_objects.py | null | 520 |
class DEISMultistepScheduler(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):
requires_backends(cls, ["torch"]) | class_definition | 34,610 | 34,983 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_pt_objects.py | null | 521 |
class DPMSolverMultistepInverseScheduler(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):
requires_backends(cls, ["torch"]) | class_definition | 34,986 | 35,371 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_pt_objects.py | null | 522 |
class DPMSolverMultistepScheduler(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):
requires_backends(cls, ["torch"]) | class_definition | 35,374 | 35,752 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_pt_objects.py | null | 523 |
class DPMSolverSinglestepScheduler(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):
requires_backends(cls, ["torch"]) | class_definition | 35,755 | 36,134 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_pt_objects.py | null | 524 |
class EDMDPMSolverMultistepScheduler(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):
requires_backends(cls, ["torch"]) | class_definition | 36,137 | 36,518 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_pt_objects.py | null | 525 |
class EDMEulerScheduler(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):
requires_backends(cls, ["torch"]) | class_definition | 36,521 | 36,889 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_pt_objects.py | null | 526 |
class EulerAncestralDiscreteScheduler(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):
requires_backends(cls, ["torch"]) | class_definition | 36,892 | 37,274 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_pt_objects.py | null | 527 |
class EulerDiscreteScheduler(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):
requires_backends(cls, ["torch"]) | class_definition | 37,277 | 37,650 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_pt_objects.py | null | 528 |
class FlowMatchEulerDiscreteScheduler(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):
requires_backends(cls, ["torch"]) | class_definition | 37,653 | 38,035 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_pt_objects.py | null | 529 |
class FlowMatchHeunDiscreteScheduler(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):
requires_backends(cls, ["torch"]) | class_definition | 38,038 | 38,419 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_pt_objects.py | null | 530 |
class HeunDiscreteScheduler(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):
requires_backends(cls, ["torch"]) | class_definition | 38,422 | 38,794 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_pt_objects.py | null | 531 |
class IPNDMScheduler(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):
requires_backends(cls, ["torch"]) | class_definition | 38,797 | 39,162 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_pt_objects.py | null | 532 |
class KarrasVeScheduler(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):
requires_backends(cls, ["torch"]) | class_definition | 39,165 | 39,533 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_pt_objects.py | null | 533 |
class KDPM2AncestralDiscreteScheduler(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):
requires_backends(cls, ["torch"]) | class_definition | 39,536 | 39,918 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_pt_objects.py | null | 534 |
class KDPM2DiscreteScheduler(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):
requires_backends(cls, ["torch"]) | class_definition | 39,921 | 40,294 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_pt_objects.py | null | 535 |
class LCMScheduler(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):
requires_backends(cls, ["torch"]) | class_definition | 40,297 | 40,660 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_pt_objects.py | null | 536 |
class PNDMScheduler(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):
requires_backends(cls, ["torch"]) | class_definition | 40,663 | 41,027 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_pt_objects.py | null | 537 |
class RePaintScheduler(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):
requires_backends(cls, ["torch"]) | class_definition | 41,030 | 41,397 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_pt_objects.py | null | 538 |
class SASolverScheduler(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):
requires_backends(cls, ["torch"]) | class_definition | 41,400 | 41,768 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_pt_objects.py | null | 539 |
class SchedulerMixin(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):
requires_backends(cls, ["torch"]) | class_definition | 41,771 | 42,136 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_pt_objects.py | null | 540 |
class ScoreSdeVeScheduler(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):
requires_backends(cls, ["torch"]) | class_definition | 42,139 | 42,509 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_pt_objects.py | null | 541 |
class TCDScheduler(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):
requires_backends(cls, ["torch"]) | class_definition | 42,512 | 42,875 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_pt_objects.py | null | 542 |
class UnCLIPScheduler(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):
requires_backends(cls, ["torch"]) | class_definition | 42,878 | 43,244 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_pt_objects.py | null | 543 |
class UniPCMultistepScheduler(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):
requires_backends(cls, ["torch"]) | class_definition | 43,247 | 43,621 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_pt_objects.py | null | 544 |
class VQDiffusionScheduler(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):
requires_backends(cls, ["torch"]) | class_definition | 43,624 | 43,995 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_pt_objects.py | null | 545 |
class EMAModel(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):
requires_backends(cls, ["torch"]) | class_definition | 43,998 | 44,357 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_pt_objects.py | null | 546 |
class CaptureLogger:
"""
Args:
Context manager to capture `logging` streams
logger: 'logging` logger object
Returns:
The captured output is available via `self.out`
Example:
```python
>>> from diffusers import logging
>>> from diffusers.testing_utils import CaptureLogger
>>> msg = "Testing 1, 2, 3"
>>> logging.set_verbosity_info()
>>> logger = logging.get_logger("diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion.py")
>>> with CaptureLogger(logger) as cl:
... logger.info(msg)
>>> assert cl.out, msg + "\n"
```
"""
def __init__(self, logger):
self.logger = logger
self.io = StringIO()
self.sh = logging.StreamHandler(self.io)
self.out = ""
def __enter__(self):
self.logger.addHandler(self.sh)
return self
def __exit__(self, *exc):
self.logger.removeHandler(self.sh)
self.out = self.io.getvalue()
def __repr__(self):
return f"captured: {self.out}\n" | class_definition | 34,416 | 35,457 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/testing_utils.py | null | 547 |
class StateDictType(enum.Enum):
"""
The mode to use when converting state dicts.
"""
DIFFUSERS_OLD = "diffusers_old"
KOHYA_SS = "kohya_ss"
PEFT = "peft"
DIFFUSERS = "diffusers" | class_definition | 766 | 971 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/state_dict_utils.py | null | 548 |
class AllegroPipeline(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 | 129 | 559 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py | null | 549 |
class AltDiffusionImg2ImgPipeline(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 | 562 | 1,004 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py | null | 550 |
class AltDiffusionPipeline(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 | 1,007 | 1,442 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py | null | 551 |
class AmusedImg2ImgPipeline(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 | 1,445 | 1,881 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py | null | 552 |
class AmusedInpaintPipeline(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 | 1,884 | 2,320 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py | null | 553 |
class AmusedPipeline(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 | 2,323 | 2,752 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py | null | 554 |
class AnimateDiffControlNetPipeline(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 | 2,755 | 3,199 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py | null | 555 |
class AnimateDiffPAGPipeline(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 | 3,202 | 3,639 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py | null | 556 |
class AnimateDiffPipeline(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 | 3,642 | 4,076 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py | null | 557 |
class AnimateDiffSDXLPipeline(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 | 4,079 | 4,517 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py | null | 558 |
class AnimateDiffSparseControlNetPipeline(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 | 4,520 | 4,970 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py | null | 559 |
class AnimateDiffVideoToVideoControlNetPipeline(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 | 4,973 | 5,429 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py | null | 560 |
class AnimateDiffVideoToVideoPipeline(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 | 5,432 | 5,878 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py | null | 561 |
class AudioLDM2Pipeline(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 | 5,881 | 6,313 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py | null | 562 |
class AudioLDM2ProjectionModel(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 | 6,316 | 6,755 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py | null | 563 |
class AudioLDM2UNet2DConditionModel(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 | 6,758 | 7,202 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py | null | 564 |
class AudioLDMPipeline(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 | 7,205 | 7,636 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py | null | 565 |
class AuraFlowPipeline(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 | 7,639 | 8,070 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py | null | 566 |
class CLIPImageProjection(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 | 8,073 | 8,507 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py | null | 567 |
class CogVideoXFunControlPipeline(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 | 8,510 | 8,952 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py | null | 568 |
class CogVideoXImageToVideoPipeline(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 | 8,955 | 9,399 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py | null | 569 |
class CogVideoXPipeline(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 | 9,402 | 9,834 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py | null | 570 |
class CogVideoXVideoToVideoPipeline(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 | 9,837 | 10,281 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py | null | 571 |
class CogView3PlusPipeline(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 | 10,284 | 10,719 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py | null | 572 |
class ConsisIDPipeline(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 | 10,722 | 11,153 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py | null | 573 |
class CycleDiffusionPipeline(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 | 11,156 | 11,593 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py | null | 574 |
class FluxControlImg2ImgPipeline(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 | 11,596 | 12,037 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py | null | 575 |
class FluxControlInpaintPipeline(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 | 12,040 | 12,481 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py | null | 576 |
class FluxControlNetImg2ImgPipeline(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 | 12,484 | 12,928 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py | null | 577 |
class FluxControlNetInpaintPipeline(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 | 12,931 | 13,375 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py | null | 578 |
class FluxControlNetPipeline(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 | 13,378 | 13,815 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py | null | 579 |
class FluxControlPipeline(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 | 13,818 | 14,252 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py | null | 580 |
class FluxFillPipeline(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 | 14,255 | 14,686 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py | null | 581 |
class FluxImg2ImgPipeline(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 | 14,689 | 15,123 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py | null | 582 |
class FluxInpaintPipeline(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 | 15,126 | 15,560 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py | null | 583 |
class FluxPipeline(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 | 15,563 | 15,990 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py | null | 584 |
class FluxPriorReduxPipeline(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 | 15,993 | 16,430 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py | null | 585 |
class HunyuanDiTControlNetPipeline(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 | 16,433 | 16,876 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py | null | 586 |
class HunyuanDiTPAGPipeline(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 | 16,879 | 17,315 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py | null | 587 |
class HunyuanDiTPipeline(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 | 17,318 | 17,751 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py | null | 588 |
class HunyuanVideoPipeline(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 | 17,754 | 18,189 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py | null | 589 |
class I2VGenXLPipeline(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 | 18,192 | 18,623 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py | null | 590 |
class IFImg2ImgPipeline(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 | 18,626 | 19,058 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py | null | 591 |
class IFImg2ImgSuperResolutionPipeline(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 | 19,061 | 19,508 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py | null | 592 |
class IFInpaintingPipeline(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 | 19,511 | 19,946 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py | null | 593 |
class IFInpaintingSuperResolutionPipeline(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 | 19,949 | 20,399 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py | null | 594 |
class IFPipeline(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 | 20,402 | 20,827 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py | null | 595 |
class IFSuperResolutionPipeline(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 | 20,830 | 21,270 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py | null | 596 |
class ImageTextPipelineOutput(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 | 21,273 | 21,711 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py | null | 597 |
class Kandinsky3Img2ImgPipeline(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 | 21,714 | 22,154 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py | null | 598 |
class Kandinsky3Pipeline(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 | 22,157 | 22,590 | 0 | /Users/nielsrogge/Documents/python_projecten/diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py | null | 599 |
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