forked from huggingface/diffusers
-
Notifications
You must be signed in to change notification settings - Fork 0
Expand file tree
/
Copy path__init__.py
More file actions
executable file
路192 lines (181 loc) 路 9.35 KB
/
Copy path__init__.py
File metadata and controls
executable file
路192 lines (181 loc) 路 9.35 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
# 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_dc"] = ["AutoencoderDC"]
_import_structure["autoencoders.autoencoder_kl"] = ["AutoencoderKL"]
_import_structure["autoencoders.autoencoder_kl_allegro"] = ["AutoencoderKLAllegro"]
_import_structure["autoencoders.autoencoder_kl_cogvideox"] = ["AutoencoderKLCogVideoX"]
_import_structure["autoencoders.autoencoder_kl_hunyuan_video"] = ["AutoencoderKLHunyuanVideo"]
_import_structure["autoencoders.autoencoder_kl_ltx"] = ["AutoencoderKLLTXVideo"]
_import_structure["autoencoders.autoencoder_kl_magvit"] = ["AutoencoderKLMagvit"]
_import_structure["autoencoders.autoencoder_kl_mochi"] = ["AutoencoderKLMochi"]
_import_structure["autoencoders.autoencoder_kl_temporal_decoder"] = ["AutoencoderKLTemporalDecoder"]
_import_structure["autoencoders.autoencoder_kl_wan"] = ["AutoencoderKLWan"]
_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["cache_utils"] = ["CacheMixin"]
_import_structure["controlnets.controlnet"] = ["ControlNetModel"]
_import_structure["controlnets.controlnet_flux"] = ["FluxControlNetModel", "FluxMultiControlNetModel"]
_import_structure["controlnets.controlnet_hunyuan"] = [
"HunyuanDiT2DControlNetModel",
"HunyuanDiT2DMultiControlNetModel",
]
_import_structure["controlnets.controlnet_sd3"] = ["SD3ControlNetModel", "SD3MultiControlNetModel"]
_import_structure["controlnets.controlnet_sparsectrl"] = ["SparseControlNetModel"]
_import_structure["controlnets.controlnet_union"] = ["ControlNetUnionModel"]
_import_structure["controlnets.controlnet_xs"] = ["ControlNetXSAdapter", "UNetControlNetXSModel"]
_import_structure["controlnets.multicontrolnet"] = ["MultiControlNetModel"]
_import_structure["controlnets.multicontrolnet_union"] = ["MultiControlNetUnionModel"]
_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.consisid_transformer_3d"] = ["ConsisIDTransformer3DModel"]
_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.sana_transformer"] = ["SanaTransformer2DModel"]
_import_structure["transformers.stable_audio_transformer"] = ["StableAudioDiTModel"]
_import_structure["transformers.t5_film_transformer"] = ["T5FilmDecoder"]
_import_structure["transformers.transformer_2d"] = ["Transformer2DModel"]
_import_structure["transformers.transformer_allegro"] = ["AllegroTransformer3DModel"]
_import_structure["transformers.transformer_cogview3plus"] = ["CogView3PlusTransformer2DModel"]
_import_structure["transformers.transformer_cogview4"] = ["CogView4Transformer2DModel"]
_import_structure["transformers.transformer_easyanimate"] = ["EasyAnimateTransformer3DModel"]
_import_structure["transformers.transformer_flux"] = ["FluxTransformer2DModel"]
_import_structure["transformers.transformer_hunyuan_video"] = ["HunyuanVideoTransformer3DModel"]
_import_structure["transformers.transformer_ltx"] = ["LTXVideoTransformer3DModel"]
_import_structure["transformers.transformer_lumina2"] = ["Lumina2Transformer2DModel"]
_import_structure["transformers.transformer_mochi"] = ["MochiTransformer3DModel"]
_import_structure["transformers.transformer_omnigen"] = ["OmniGenTransformer2DModel"]
_import_structure["transformers.transformer_sd3"] = ["SD3Transformer2DModel"]
_import_structure["transformers.transformer_temporal"] = ["TransformerTemporalModel"]
_import_structure["transformers.transformer_wan"] = ["WanTransformer3DModel"]
_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["controlnets.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,
AutoencoderDC,
AutoencoderKL,
AutoencoderKLAllegro,
AutoencoderKLCogVideoX,
AutoencoderKLHunyuanVideo,
AutoencoderKLLTXVideo,
AutoencoderKLMagvit,
AutoencoderKLMochi,
AutoencoderKLTemporalDecoder,
AutoencoderKLWan,
AutoencoderOobleck,
AutoencoderTiny,
ConsistencyDecoderVAE,
VQModel,
)
from .cache_utils import CacheMixin
from .controlnets import (
ControlNetModel,
ControlNetUnionModel,
ControlNetXSAdapter,
FluxControlNetModel,
FluxMultiControlNetModel,
HunyuanDiT2DControlNetModel,
HunyuanDiT2DMultiControlNetModel,
MultiControlNetModel,
MultiControlNetUnionModel,
SD3ControlNetModel,
SD3MultiControlNetModel,
SparseControlNetModel,
UNetControlNetXSModel,
)
from .embeddings import ImageProjection
from .modeling_utils import ModelMixin
from .transformers import (
AllegroTransformer3DModel,
AuraFlowTransformer2DModel,
CogVideoXTransformer3DModel,
CogView3PlusTransformer2DModel,
CogView4Transformer2DModel,
ConsisIDTransformer3DModel,
DiTTransformer2DModel,
DualTransformer2DModel,
EasyAnimateTransformer3DModel,
FluxTransformer2DModel,
HunyuanDiT2DModel,
HunyuanVideoTransformer3DModel,
LatteTransformer3DModel,
LTXVideoTransformer3DModel,
Lumina2Transformer2DModel,
LuminaNextDiT2DModel,
MochiTransformer3DModel,
OmniGenTransformer2DModel,
PixArtTransformer2DModel,
PriorTransformer,
SanaTransformer2DModel,
SD3Transformer2DModel,
StableAudioDiTModel,
T5FilmDecoder,
Transformer2DModel,
TransformerTemporalModel,
WanTransformer3DModel,
)
from .unets import (
I2VGenXLUNet,
Kandinsky3UNet,
MotionAdapter,
StableCascadeUNet,
UNet1DModel,
UNet2DConditionModel,
UNet2DModel,
UNet3DConditionModel,
UNetMotionModel,
UNetSpatioTemporalConditionModel,
UVit2DModel,
)
if is_flax_available():
from .controlnets 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__)