File size: 5,470 Bytes
f369784
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
from typing import TYPE_CHECKING

from ...utils import (
    DIFFUSERS_SLOW_IMPORT,
    OptionalDependencyNotAvailable,
    _LazyModule,
    get_objects_from_module,
    is_librosa_available,
    is_note_seq_available,
    is_torch_available,
    is_transformers_available,
)


_dummy_objects = {}
_import_structure = {}

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

    _dummy_objects.update(get_objects_from_module(dummy_pt_objects))
else:
    _import_structure["latent_diffusion_uncond"] = ["LDMPipeline"]
    _import_structure["pndm"] = ["PNDMPipeline"]
    _import_structure["repaint"] = ["RePaintPipeline"]
    _import_structure["score_sde_ve"] = ["ScoreSdeVePipeline"]
    _import_structure["stochastic_karras_ve"] = ["KarrasVePipeline"]

try:
    if not (is_transformers_available() and is_torch_available()):
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    from ...utils import dummy_torch_and_transformers_objects

    _dummy_objects.update(get_objects_from_module(dummy_torch_and_transformers_objects))
else:
    _import_structure["alt_diffusion"] = [
        "AltDiffusionImg2ImgPipeline",
        "AltDiffusionPipeline",
        "AltDiffusionPipelineOutput",
    ]
    _import_structure["versatile_diffusion"] = [
        "VersatileDiffusionDualGuidedPipeline",
        "VersatileDiffusionImageVariationPipeline",
        "VersatileDiffusionPipeline",
        "VersatileDiffusionTextToImagePipeline",
    ]
    _import_structure["vq_diffusion"] = ["VQDiffusionPipeline"]
    _import_structure["stable_diffusion_variants"] = [
        "CycleDiffusionPipeline",
        "StableDiffusionInpaintPipelineLegacy",
        "StableDiffusionPix2PixZeroPipeline",
        "StableDiffusionParadigmsPipeline",
        "StableDiffusionModelEditingPipeline",
    ]

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

    _dummy_objects.update(get_objects_from_module(dummy_torch_and_librosa_objects))

else:
    _import_structure["audio_diffusion"] = ["AudioDiffusionPipeline", "Mel"]

try:
    if not (is_transformers_available() and is_torch_available() and is_note_seq_available()):
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    from ...utils import dummy_transformers_and_torch_and_note_seq_objects  # noqa F403

    _dummy_objects.update(get_objects_from_module(dummy_transformers_and_torch_and_note_seq_objects))

else:
    _import_structure["spectrogram_diffusion"] = ["MidiProcessor", "SpectrogramDiffusionPipeline"]


if TYPE_CHECKING or DIFFUSERS_SLOW_IMPORT:
    try:
        if not is_torch_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        from ...utils.dummy_pt_objects import *

    else:
        from .latent_diffusion_uncond import LDMPipeline
        from .pndm import PNDMPipeline
        from .repaint import RePaintPipeline
        from .score_sde_ve import ScoreSdeVePipeline
        from .stochastic_karras_ve import KarrasVePipeline

    try:
        if not (is_transformers_available() and is_torch_available()):
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        from ...utils.dummy_torch_and_transformers_objects import *

    else:
        from .alt_diffusion import AltDiffusionImg2ImgPipeline, AltDiffusionPipeline, AltDiffusionPipelineOutput
        from .audio_diffusion import AudioDiffusionPipeline, Mel
        from .spectrogram_diffusion import SpectrogramDiffusionPipeline
        from .stable_diffusion_variants import (
            CycleDiffusionPipeline,
            StableDiffusionInpaintPipelineLegacy,
            StableDiffusionModelEditingPipeline,
            StableDiffusionParadigmsPipeline,
            StableDiffusionPix2PixZeroPipeline,
        )
        from .stochastic_karras_ve import KarrasVePipeline
        from .versatile_diffusion import (
            VersatileDiffusionDualGuidedPipeline,
            VersatileDiffusionImageVariationPipeline,
            VersatileDiffusionPipeline,
            VersatileDiffusionTextToImagePipeline,
        )
        from .vq_diffusion import VQDiffusionPipeline

    try:
        if not (is_torch_available() and is_librosa_available()):
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        from ...utils.dummy_torch_and_librosa_objects import *
    else:
        from .audio_diffusion import AudioDiffusionPipeline, Mel

    try:
        if not (is_transformers_available() and is_torch_available() and is_note_seq_available()):
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        from ...utils.dummy_transformers_and_torch_and_note_seq_objects import *  # noqa F403
    else:
        from .spectrogram_diffusion import (
            MidiProcessor,
            SpectrogramDiffusionPipeline,
        )


else:
    import sys

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