lora_test2 / ppdiffusers /utils /dummy_paddle_and_paddlenlp_and_k_diffusion_objects.py
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# Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# This file is autogenerated by the command `make fix-copies`, do not edit.
# flake8: noqa
from ..utils import DummyObject, requires_backends
class StableDiffusionKDiffusionPipeline(metaclass=DummyObject):
_backends = ["paddle", "paddlenlp", "k_diffusion"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["paddle", "paddlenlp", "k_diffusion"])
@classmethod
def from_config(cls, *args, **kwargs):
requires_backends(cls, ["paddle", "paddlenlp", "k_diffusion"])
@classmethod
def from_pretrained(cls, *args, **kwargs):
requires_backends(cls, ["paddle", "paddlenlp", "k_diffusion"])