56 lines
1.5 KiB
Python
56 lines
1.5 KiB
Python
from dataclasses import dataclass
|
|
from typing import TYPE_CHECKING, List, Optional, Union
|
|
|
|
import numpy as np
|
|
import PIL
|
|
from PIL import Image
|
|
|
|
from ...utils import (
|
|
DIFFUSERS_SLOW_IMPORT,
|
|
OptionalDependencyNotAvailable,
|
|
_LazyModule,
|
|
get_objects_from_module,
|
|
is_torch_available,
|
|
is_transformers_available,
|
|
)
|
|
|
|
|
|
_dummy_objects = {}
|
|
_import_structure = {}
|
|
|
|
try:
|
|
if not (is_transformers_available() and is_torch_available()):
|
|
raise OptionalDependencyNotAvailable()
|
|
except OptionalDependencyNotAvailable:
|
|
from ...utils import dummy_torch_and_transformers_objects # noqa F403
|
|
|
|
_dummy_objects.update(get_objects_from_module(dummy_torch_and_transformers_objects))
|
|
else:
|
|
_import_structure["image_encoder"] = ["PaintByExampleImageEncoder"]
|
|
_import_structure["pipeline_paint_by_example"] = ["PaintByExamplePipeline"]
|
|
|
|
|
|
if TYPE_CHECKING or DIFFUSERS_SLOW_IMPORT:
|
|
try:
|
|
if not (is_transformers_available() and is_torch_available()):
|
|
raise OptionalDependencyNotAvailable()
|
|
|
|
except OptionalDependencyNotAvailable:
|
|
from ...utils.dummy_torch_and_transformers_objects import *
|
|
else:
|
|
from .image_encoder import PaintByExampleImageEncoder
|
|
from .pipeline_paint_by_example import PaintByExamplePipeline
|
|
|
|
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)
|