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# Copyright 2024 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 typing import TYPE_CHECKING
from ..utils import (
DIFFUSERS_SLOW_IMPORT,
_LazyModule,
is_flax_available,
is_torch_available,
)
_import_structure = {}
if is_torch_available():
_import_structure["adapter"] = ["MultiAdapter", "T2IAdapter"]
_import_structure["autoencoders.autoencoder_asym_kl"] = ["AsymmetricAutoencoderKL"]
_import_structure["autoencoders.autoencoder_kl"] = ["AutoencoderKL"]
_import_structure["autoencoders.autoencoder_kl_cogvideox"] = ["AutoencoderKLCogVideoX"]
_import_structure["autoencoders.autoencoder_kl_temporal_decoder"] = ["AutoencoderKLTemporalDecoder"]
_import_structure["autoencoders.autoencoder_oobleck"] = ["AutoencoderOobleck"]
_import_structure["autoencoders.autoencoder_tiny"] = ["AutoencoderTiny"]
_import_structure["autoencoders.consistency_decoder_vae"] = ["ConsistencyDecoderVAE"]
_import_structure["autoencoders.vq_model"] = ["VQModel"]
_import_structure["controlnet"] = ["ControlNetModel"]
_import_structure["controlnet_flux"] = ["FluxControlNetModel"]
_import_structure["controlnet_hunyuan"] = ["HunyuanDiT2DControlNetModel", "HunyuanDiT2DMultiControlNetModel"]
_import_structure["controlnet_sd3"] = ["SD3ControlNetModel", "SD3MultiControlNetModel"]
_import_structure["controlnet_sparsectrl"] = ["SparseControlNetModel"]
_import_structure["controlnet_xs"] = ["ControlNetXSAdapter", "UNetControlNetXSModel"]
_import_structure["embeddings"] = ["ImageProjection"]
_import_structure["modeling_utils"] = ["ModelMixin"]
_import_structure["transformers.auraflow_transformer_2d"] = ["AuraFlowTransformer2DModel"]
_import_structure["transformers.cogvideox_transformer_3d"] = ["CogVideoXTransformer3DModel"]
_import_structure["transformers.dit_transformer_2d"] = ["DiTTransformer2DModel"]
_import_structure["transformers.dual_transformer_2d"] = ["DualTransformer2DModel"]
_import_structure["transformers.hunyuan_transformer_2d"] = ["HunyuanDiT2DModel"]
_import_structure["transformers.latte_transformer_3d"] = ["LatteTransformer3DModel"]
_import_structure["transformers.lumina_nextdit2d"] = ["LuminaNextDiT2DModel"]
_import_structure["transformers.pixart_transformer_2d"] = ["PixArtTransformer2DModel"]
_import_structure["transformers.prior_transformer"] = ["PriorTransformer"]
_import_structure["transformers.stable_audio_transformer"] = ["StableAudioDiTModel"]
_import_structure["transformers.t5_film_transformer"] = ["T5FilmDecoder"]
_import_structure["transformers.transformer_2d"] = ["Transformer2DModel"]
_import_structure["transformers.transformer_flux"] = ["FluxTransformer2DModel"]
_import_structure["transformers.transformer_sd3"] = ["SD3Transformer2DModel"]
_import_structure["transformers.transformer_temporal"] = ["TransformerTemporalModel"]
_import_structure["unets.unet_1d"] = ["UNet1DModel"]
_import_structure["unets.unet_2d"] = ["UNet2DModel"]
_import_structure["unets.unet_2d_condition"] = ["UNet2DConditionModel"]
_import_structure["unets.unet_3d_condition"] = ["UNet3DConditionModel"]
_import_structure["unets.unet_i2vgen_xl"] = ["I2VGenXLUNet"]
_import_structure["unets.unet_kandinsky3"] = ["Kandinsky3UNet"]
_import_structure["unets.unet_motion_model"] = ["MotionAdapter", "UNetMotionModel"]
_import_structure["unets.unet_spatio_temporal_condition"] = ["UNetSpatioTemporalConditionModel"]
_import_structure["unets.unet_stable_cascade"] = ["StableCascadeUNet"]
_import_structure["unets.uvit_2d"] = ["UVit2DModel"]
if is_flax_available():
_import_structure["controlnet_flax"] = ["FlaxControlNetModel"]
_import_structure["unets.unet_2d_condition_flax"] = ["FlaxUNet2DConditionModel"]
_import_structure["vae_flax"] = ["FlaxAutoencoderKL"]
if TYPE_CHECKING or DIFFUSERS_SLOW_IMPORT:
if is_torch_available():
from .adapter import MultiAdapter, T2IAdapter
from .autoencoders import (
AsymmetricAutoencoderKL,
AutoencoderKL,
AutoencoderKLCogVideoX,
AutoencoderKLTemporalDecoder,
AutoencoderOobleck,
AutoencoderTiny,
ConsistencyDecoderVAE,
VQModel,
)
from .controlnet import ControlNetModel
from .controlnet_flux import FluxControlNetModel
from .controlnet_hunyuan import HunyuanDiT2DControlNetModel, HunyuanDiT2DMultiControlNetModel
from .controlnet_sd3 import SD3ControlNetModel, SD3MultiControlNetModel
from .controlnet_sparsectrl import SparseControlNetModel
from .controlnet_xs import ControlNetXSAdapter, UNetControlNetXSModel
from .embeddings import ImageProjection
from .modeling_utils import ModelMixin
from .transformers import (
AuraFlowTransformer2DModel,
CogVideoXTransformer3DModel,
DiTTransformer2DModel,
DualTransformer2DModel,
FluxTransformer2DModel,
HunyuanDiT2DModel,
LatteTransformer3DModel,
LuminaNextDiT2DModel,
PixArtTransformer2DModel,
PriorTransformer,
SD3Transformer2DModel,
StableAudioDiTModel,
T5FilmDecoder,
Transformer2DModel,
TransformerTemporalModel,
)
from .unets import (
I2VGenXLUNet,
Kandinsky3UNet,
MotionAdapter,
StableCascadeUNet,
UNet1DModel,
UNet2DConditionModel,
UNet2DModel,
UNet3DConditionModel,
UNetMotionModel,
UNetSpatioTemporalConditionModel,
UVit2DModel,
)
if is_flax_available():
from .controlnet_flax import FlaxControlNetModel
from .unets import FlaxUNet2DConditionModel
from .vae_flax import FlaxAutoencoderKL
else:
import sys
sys.modules[__name__] = _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)