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from .utils import (

is_accelerate_available,

is_flax_available,

is_inflect_available,

is_onnx_available,

is_scipy_available,

is_torch_available,

is_transformers_available,

is_unidecode_available,

)

__version__ = "0.7.0"

from .configuration_utils import ConfigMixin

from .onnx_utils import OnnxRuntimeModel

from .utils import logging

# This will create an extra dummy file "dummy_torch_and_accelerate_objects.py"

# TODO: (patil-suraj, anton-l) maybe import everything under is_torch_and_accelerate_available

if is_torch_available() and not is_accelerate_available():

error_msg = "Please install the `accelerate` library to use Diffusers with PyTorch. You can do so by running `pip install diffusers[torch]`. Or if torch is already installed, you can run `pip install accelerate`." # noqa: E501

raise ImportError(error_msg)

if is_torch_available():

from .modeling_utils import ModelMixin

from .models import AutoencoderKL, 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,

PNDMPipeline,

RePaintPipeline,

ScoreSdeVePipeline,

)

from .schedulers import (

DDIMScheduler,

DDPMScheduler,

EulerAncestralDiscreteScheduler,

EulerDiscreteScheduler,

IPNDMScheduler,

KarrasVeScheduler,

PNDMScheduler,

RePaintScheduler,

SchedulerMixin,

ScoreSdeVeScheduler,

VQDiffusionScheduler,

)

from .training_utils import EMAModel

else:

from .utils.dummy_pt_objects import * # noqa F403

if is_torch_available() and is_scipy_available():

from .schedulers import LMSDiscreteScheduler

else:

from .utils.dummy_torch_and_scipy_objects import * # noqa F403

if is_torch_available() and is_transformers_available():

from .pipelines import (

LDMTextToImagePipeline,

StableDiffusionImg2ImgPipeline,

StableDiffusionInpaintPipeline,

StableDiffusionInpaintPipelineLegacy,

StableDiffusionPipeline,

VQDiffusionPipeline,

)

else:

from .utils.dummy_torch_and_transformers_objects import * # noqa F403

if is_torch_available() and is_transformers_available() and is_onnx_available():

from .pipelines import (

OnnxStableDiffusionImg2ImgPipeline,

OnnxStableDiffusionInpaintPipeline,

OnnxStableDiffusionPipeline,

StableDiffusionOnnxPipeline,

)

else:

from .utils.dummy_torch_and_transformers_and_onnx_objects import * # noqa F403

if is_flax_available():

from .modeling_flax_utils import FlaxModelMixin

from .models.unet_2d_condition_flax import FlaxUNet2DConditionModel

from .models.vae_flax import FlaxAutoencoderKL

from .pipeline_flax_utils import FlaxDiffusionPipeline

from .schedulers import (

FlaxDDIMScheduler,

FlaxDDPMScheduler,

FlaxKarrasVeScheduler,

FlaxLMSDiscreteScheduler,

FlaxPNDMScheduler,

FlaxSchedulerMixin,

FlaxScoreSdeVeScheduler,

)

else:

from .utils.dummy_flax_objects import * # noqa F403

if is_flax_available() and is_transformers_available():

from .pipelines import FlaxStableDiffusionPipeline

else:

from .utils.dummy_flax_and_transformers_objects import * # noqa F403