AI/diffusers
1
0
Fork 0
mirror of https://github.com/huggingface/diffusers.git synced 2026-01-27 17:22:53 +03:00
Code Activity

copies

Browse Source
This commit is contained in:
yiyi@huggingface.co
2026-01-20 01:32:08 +00:00
parent fb2cb18f73
commit 9357d8f4f7
1 changed files with 45 additions and 0 deletions
Download Patch File Download Diff File Expand all files Collapse all files

45
src/diffusers/utils/dummy_torch_and_transformers_objects.py
View File

@@ -17,6 +17,51 @@ class Flux2AutoBlocks(metaclass=DummyObject):
requires_backends(cls, ["torch", "transformers"])
class Flux2KleinAutoBlocks(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 Flux2KleinBaseAutoBlocks(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 Flux2KleinModularPipeline(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 Flux2ModularPipeline(metaclass=DummyObject):
_backends = ["torch", "transformers"]