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from .utils import (
is_inflect_available,
is_onnx_available,
is_scipy_available,
is_transformers_available,
is_unidecode_available,
)
__version__ = "0.3.0"
from .configuration_utils import ConfigMixin
from .modeling_utils import ModelMixin
from .models import AutoencoderKL, UNet2DConditionModel, UNet2DModel, VQModel
from .onnx_utils import OnnxRuntimeModel
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 .utils import logging
if is_scipy_available():
from .schedulers import LMSDiscreteScheduler
else:
from .utils.dummy_scipy_objects import * # noqa F403
from .training_utils import EMAModel
if is_transformers_available():
from .pipelines import (
LDMTextToImagePipeline,
StableDiffusionImg2ImgPipeline,
StableDiffusionInpaintPipeline,
StableDiffusionPipeline,
)
else:
from .utils.dummy_transformers_objects import * # noqa F403
if is_transformers_available() and is_onnx_available():
from .pipelines import StableDiffusionOnnxPipeline
else:
from .utils.dummy_transformers_and_onnx_objects import * # noqa F403
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