29 lines
1.1 KiB
Python
29 lines
1.1 KiB
Python
# Copyright 2022 The HuggingFace Team. All rights reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from ..utils import is_flax_available, is_torch_available
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if is_torch_available():
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from .attention import Transformer2DModel
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from .prior_transformer import PriorTransformer
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from .unet_1d import UNet1DModel
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from .unet_2d import UNet2DModel
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from .unet_2d_condition import UNet2DConditionModel
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from .vae import AutoencoderKL, VQModel
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if is_flax_available():
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from .unet_2d_condition_flax import FlaxUNet2DConditionModel
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from .vae_flax import FlaxAutoencoderKL
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