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# Copyright 2023 The HuggingFace Team. 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. | |
from ..utils import is_flax_available, is_torch_available | |
if is_torch_available(): | |
from .autoencoder_kl import AutoencoderKL | |
from .controlnet import ControlNetModel | |
from .dual_transformer_2d import DualTransformer2DModel | |
from .modeling_utils import ModelMixin | |
from .prior_transformer import PriorTransformer | |
from .t5_film_transformer import T5FilmDecoder | |
from .transformer_2d import Transformer2DModel | |
from .unet_1d import UNet1DModel | |
from .unet_2d import UNet2DModel | |
from .unet_2d_condition import UNet2DConditionModel | |
from .unet_3d_condition import UNet3DConditionModel | |
from .vq_model import VQModel | |
if is_flax_available(): | |
from .controlnet_flax import FlaxControlNetModel | |
from .unet_2d_condition_flax import FlaxUNet2DConditionModel | |
from .vae_flax import FlaxAutoencoderKL | |