File size: 5,572 Bytes
21231ee |
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 |
# Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
# Copyright 2022 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.
# flake8: noqa
from .configuration_utils import ConfigMixin
from .fastdeploy_utils import FastDeployRuntimeModel
from .ppnlp_patch_utils import *
from .utils import (
OptionalDependencyNotAvailable,
is_fastdeploy_available,
is_inflect_available,
is_k_diffusion_available,
is_librosa_available,
is_onnx_available,
is_paddle_available,
is_paddlenlp_available,
is_scipy_available,
is_unidecode_available,
logging,
)
from .version import VERSION as __version__
try:
if not is_paddle_available():
raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
from .utils.dummy_paddle_objects import * # noqa F403
else:
from .initializer import *
from .modeling_utils import ModelMixin
from .models import (
AutoencoderKL,
PriorTransformer,
Transformer2DModel,
UNet1DModel,
UNet2DConditionModel,
UNet2DModel,
VQModel,
)
from .optimization import (
get_constant_schedule,
get_constant_schedule_with_warmup,
get_cosine_schedule_with_warmup,
get_cosine_with_hard_restarts_schedule_with_warmup,
get_linear_schedule_with_warmup,
get_polynomial_decay_schedule_with_warmup,
get_scheduler,
)
from .pipeline_utils import DiffusionPipeline
from .pipelines import (
DanceDiffusionPipeline,
DDIMPipeline,
DDPMPipeline,
KarrasVePipeline,
LDMPipeline,
LDMSuperResolutionPipeline,
PNDMPipeline,
RePaintPipeline,
ScoreSdeVePipeline,
)
from .schedulers import (
DDIMScheduler,
DDPMScheduler,
DPMSolverMultistepScheduler,
DPMSolverSinglestepScheduler,
EulerAncestralDiscreteScheduler,
EulerDiscreteScheduler,
HeunDiscreteScheduler,
IPNDMScheduler,
KarrasVeScheduler,
KDPM2AncestralDiscreteScheduler,
KDPM2DiscreteScheduler,
PNDMScheduler,
RePaintScheduler,
SchedulerMixin,
ScoreSdeVeScheduler,
UnCLIPScheduler,
VQDiffusionScheduler,
)
from .schedulers.preconfig import PreconfigEulerAncestralDiscreteScheduler
from .training_utils import EMAModel
try:
if not (is_paddle_available() and is_scipy_available()):
raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
from .utils.dummy_paddle_and_scipy_objects import * # noqa F403
else:
from .schedulers import LMSDiscreteScheduler
from .schedulers.preconfig import PreconfigLMSDiscreteScheduler
try:
if not (is_paddle_available() and is_paddlenlp_available()):
raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
from .utils.dummy_paddle_and_paddlenlp_objects import * # noqa F403
else:
from .pipelines import (
AltDiffusionImg2ImgPipeline,
AltDiffusionPipeline,
CycleDiffusionPipeline,
LDMBertModel,
LDMTextToImagePipeline,
PaintByExamplePipeline,
StableDiffusionDepth2ImgPipeline,
StableDiffusionImageVariationPipeline,
StableDiffusionImg2ImgPipeline,
StableDiffusionInpaintPipeline,
StableDiffusionInpaintPipelineLegacy,
StableDiffusionMegaPipeline,
StableDiffusionPipeline,
StableDiffusionPipelineAllinOne,
StableDiffusionPipelineSafe,
StableDiffusionUpscalePipeline,
UnCLIPPipeline,
VersatileDiffusionDualGuidedPipeline,
VersatileDiffusionImageVariationPipeline,
VersatileDiffusionPipeline,
VersatileDiffusionTextToImagePipeline,
VQDiffusionPipeline,
)
try:
if not (is_paddle_available() and is_paddlenlp_available() and is_k_diffusion_available()):
raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
from .utils.dummy_paddle_and_paddlenlp_and_k_diffusion_objects import * # noqa F403
else:
from .pipelines import StableDiffusionKDiffusionPipeline
try:
if not (is_paddle_available() and is_paddlenlp_available() and is_fastdeploy_available()):
raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
from .utils.dummy_paddle_and_paddlenlp_and_fastdeploy_objects import * # noqa F403
else:
from .pipelines import (
FastDeployStableDiffusionImg2ImgPipeline,
FastDeployStableDiffusionInpaintPipeline,
FastDeployStableDiffusionInpaintPipelineLegacy,
FastDeployStableDiffusionMegaPipeline,
FastDeployStableDiffusionPipeline,
)
try:
if not (is_paddle_available() and is_librosa_available()):
raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
from .utils.dummy_paddle_and_librosa_objects import * # noqa F403
else:
from .pipelines import AudioDiffusionPipeline, Mel
|