__init__.py

from .utils import (
    is_inflect_available,
    is_onnx_available,
    is_scipy_available,
    is_torch_available,
    is_transformers_available,
    is_unidecode_available,
)


__version__ = "0.4.0.dev0"

from .configuration_utils import ConfigMixin
from .onnx_utils import OnnxRuntimeModel
from .utils import logging


if is_torch_available():
    from .modeling_utils import ModelMixin
    from .models import AutoencoderKL, 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 DDIMPipeline, DDPMPipeline, KarrasVePipeline, LDMPipeline, PNDMPipeline, ScoreSdeVePipeline
    from .schedulers import (
        DDIMScheduler,
        DDPMScheduler,
        KarrasVeScheduler,
        PNDMScheduler,
        SchedulerMixin,
        ScoreSdeVeScheduler,
    )
    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,
        StableDiffusionPipeline,
    )
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 StableDiffusionOnnxPipeline
else:
    from .utils.dummy_torch_and_transformers_and_onnx_objects import *  # noqa F403