File size: 9,479 Bytes
e8aa256
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
193
194
195
196
197
198
199
200
201
202
203
204
# 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 typing import TYPE_CHECKING

from ..utils import (
    DIFFUSERS_SLOW_IMPORT,
    OptionalDependencyNotAvailable,
    _LazyModule,
    get_objects_from_module,
    is_flax_available,
    is_scipy_available,
    is_torch_available,
    is_torchsde_available,
)


_dummy_modules = {}
_import_structure = {}

try:
    if not is_torch_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    from ..utils import dummy_pt_objects  # noqa F403

    _dummy_modules.update(get_objects_from_module(dummy_pt_objects))

else:
    _import_structure["deprecated"] = ["KarrasVeScheduler", "ScoreSdeVpScheduler"]
    _import_structure["scheduling_amused"] = ["AmusedScheduler"]
    _import_structure["scheduling_consistency_decoder"] = ["ConsistencyDecoderScheduler"]
    _import_structure["scheduling_consistency_models"] = ["CMStochasticIterativeScheduler"]
    _import_structure["scheduling_ddim"] = ["DDIMScheduler"]
    _import_structure["scheduling_ddim_inverse"] = ["DDIMInverseScheduler"]
    _import_structure["scheduling_ddim_parallel"] = ["DDIMParallelScheduler"]
    _import_structure["scheduling_ddpm"] = ["DDPMScheduler"]
    _import_structure["scheduling_ddpm_parallel"] = ["DDPMParallelScheduler"]
    _import_structure["scheduling_ddpm_wuerstchen"] = ["DDPMWuerstchenScheduler"]
    _import_structure["scheduling_deis_multistep"] = ["DEISMultistepScheduler"]
    _import_structure["scheduling_dpmsolver_multistep"] = ["DPMSolverMultistepScheduler"]
    _import_structure["scheduling_dpmsolver_multistep_inverse"] = ["DPMSolverMultistepInverseScheduler"]
    _import_structure["scheduling_dpmsolver_singlestep"] = ["DPMSolverSinglestepScheduler"]
    _import_structure["scheduling_euler_ancestral_discrete"] = ["EulerAncestralDiscreteScheduler"]
    _import_structure["scheduling_euler_discrete"] = ["EulerDiscreteScheduler"]
    _import_structure["scheduling_heun_discrete"] = ["HeunDiscreteScheduler"]
    _import_structure["scheduling_ipndm"] = ["IPNDMScheduler"]
    _import_structure["scheduling_k_dpm_2_ancestral_discrete"] = ["KDPM2AncestralDiscreteScheduler"]
    _import_structure["scheduling_k_dpm_2_discrete"] = ["KDPM2DiscreteScheduler"]
    _import_structure["scheduling_lcm"] = ["LCMScheduler"]
    _import_structure["scheduling_pndm"] = ["PNDMScheduler"]
    _import_structure["scheduling_repaint"] = ["RePaintScheduler"]
    _import_structure["scheduling_sde_ve"] = ["ScoreSdeVeScheduler"]
    _import_structure["scheduling_unclip"] = ["UnCLIPScheduler"]
    _import_structure["scheduling_unipc_multistep"] = ["UniPCMultistepScheduler"]
    _import_structure["scheduling_utils"] = ["KarrasDiffusionSchedulers", "SchedulerMixin"]
    _import_structure["scheduling_vq_diffusion"] = ["VQDiffusionScheduler"]

try:
    if not is_flax_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    from ..utils import dummy_flax_objects  # noqa F403

    _dummy_modules.update(get_objects_from_module(dummy_flax_objects))

else:
    _import_structure["scheduling_ddim_flax"] = ["FlaxDDIMScheduler"]
    _import_structure["scheduling_ddpm_flax"] = ["FlaxDDPMScheduler"]
    _import_structure["scheduling_dpmsolver_multistep_flax"] = ["FlaxDPMSolverMultistepScheduler"]
    _import_structure["scheduling_euler_discrete_flax"] = ["FlaxEulerDiscreteScheduler"]
    _import_structure["scheduling_karras_ve_flax"] = ["FlaxKarrasVeScheduler"]
    _import_structure["scheduling_lms_discrete_flax"] = ["FlaxLMSDiscreteScheduler"]
    _import_structure["scheduling_pndm_flax"] = ["FlaxPNDMScheduler"]
    _import_structure["scheduling_sde_ve_flax"] = ["FlaxScoreSdeVeScheduler"]
    _import_structure["scheduling_utils_flax"] = [
        "FlaxKarrasDiffusionSchedulers",
        "FlaxSchedulerMixin",
        "FlaxSchedulerOutput",
        "broadcast_to_shape_from_left",
    ]


try:
    if not (is_torch_available() and is_scipy_available()):
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    from ..utils import dummy_torch_and_scipy_objects  # noqa F403

    _dummy_modules.update(get_objects_from_module(dummy_torch_and_scipy_objects))

else:
    _import_structure["scheduling_lms_discrete"] = ["LMSDiscreteScheduler"]

try:
    if not (is_torch_available() and is_torchsde_available()):
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    from ..utils import dummy_torch_and_torchsde_objects  # noqa F403

    _dummy_modules.update(get_objects_from_module(dummy_torch_and_torchsde_objects))

else:
    _import_structure["scheduling_dpmsolver_sde"] = ["DPMSolverSDEScheduler"]

if TYPE_CHECKING or DIFFUSERS_SLOW_IMPORT:
    from ..utils import (
        OptionalDependencyNotAvailable,
        is_flax_available,
        is_scipy_available,
        is_torch_available,
        is_torchsde_available,
    )

    try:
        if not is_torch_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        from ..utils.dummy_pt_objects import *  # noqa F403
    else:
        from .deprecated import KarrasVeScheduler, ScoreSdeVpScheduler
        from .scheduling_amused import AmusedScheduler
        from .scheduling_consistency_decoder import ConsistencyDecoderScheduler
        from .scheduling_consistency_models import CMStochasticIterativeScheduler
        from .scheduling_ddim import DDIMScheduler
        from .scheduling_ddim_inverse import DDIMInverseScheduler
        from .scheduling_ddim_parallel import DDIMParallelScheduler
        from .scheduling_ddpm import DDPMScheduler
        from .scheduling_ddpm_parallel import DDPMParallelScheduler
        from .scheduling_ddpm_wuerstchen import DDPMWuerstchenScheduler
        from .scheduling_deis_multistep import DEISMultistepScheduler
        from .scheduling_dpmsolver_multistep import DPMSolverMultistepScheduler
        from .scheduling_dpmsolver_multistep_inverse import DPMSolverMultistepInverseScheduler
        from .scheduling_dpmsolver_singlestep import DPMSolverSinglestepScheduler
        from .scheduling_euler_ancestral_discrete import EulerAncestralDiscreteScheduler
        from .scheduling_euler_discrete import EulerDiscreteScheduler
        from .scheduling_heun_discrete import HeunDiscreteScheduler
        from .scheduling_ipndm import IPNDMScheduler
        from .scheduling_k_dpm_2_ancestral_discrete import KDPM2AncestralDiscreteScheduler
        from .scheduling_k_dpm_2_discrete import KDPM2DiscreteScheduler
        from .scheduling_lcm import LCMScheduler
        from .scheduling_pndm import PNDMScheduler
        from .scheduling_repaint import RePaintScheduler
        from .scheduling_sde_ve import ScoreSdeVeScheduler
        from .scheduling_unclip import UnCLIPScheduler
        from .scheduling_unipc_multistep import UniPCMultistepScheduler
        from .scheduling_utils import KarrasDiffusionSchedulers, SchedulerMixin
        from .scheduling_vq_diffusion import VQDiffusionScheduler

    try:
        if not is_flax_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        from ..utils.dummy_flax_objects import *  # noqa F403
    else:
        from .scheduling_ddim_flax import FlaxDDIMScheduler
        from .scheduling_ddpm_flax import FlaxDDPMScheduler
        from .scheduling_dpmsolver_multistep_flax import FlaxDPMSolverMultistepScheduler
        from .scheduling_euler_discrete_flax import FlaxEulerDiscreteScheduler
        from .scheduling_karras_ve_flax import FlaxKarrasVeScheduler
        from .scheduling_lms_discrete_flax import FlaxLMSDiscreteScheduler
        from .scheduling_pndm_flax import FlaxPNDMScheduler
        from .scheduling_sde_ve_flax import FlaxScoreSdeVeScheduler
        from .scheduling_utils_flax import (
            FlaxKarrasDiffusionSchedulers,
            FlaxSchedulerMixin,
            FlaxSchedulerOutput,
            broadcast_to_shape_from_left,
        )

    try:
        if not (is_torch_available() and is_scipy_available()):
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        from ..utils.dummy_torch_and_scipy_objects import *  # noqa F403
    else:
        from .scheduling_lms_discrete import LMSDiscreteScheduler

    try:
        if not (is_torch_available() and is_torchsde_available()):
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        from ..utils.dummy_torch_and_torchsde_objects import *  # noqa F403
    else:
        from .scheduling_dpmsolver_sde import DPMSolverSDEScheduler

else:
    import sys

    sys.modules[__name__] = _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)
    for name, value in _dummy_modules.items():
        setattr(sys.modules[__name__], name, value)