Spaces:
Running
on
Zero
Running
on
Zero
File size: 1,791 Bytes
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from typing import TYPE_CHECKING
from ...utils import (
DIFFUSERS_SLOW_IMPORT,
OptionalDependencyNotAvailable,
_LazyModule,
get_objects_from_module,
is_sentencepiece_available,
is_torch_available,
is_transformers_available,
)
_dummy_objects = {}
_import_structure = {}
try:
if not (is_transformers_available() and is_torch_available()) and is_sentencepiece_available():
raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
from ...utils import dummy_torch_and_transformers_and_sentencepiece_objects # noqa F403
_dummy_objects.update(get_objects_from_module(dummy_torch_and_transformers_and_sentencepiece_objects))
else:
_import_structure["pipeline_kolors"] = ["KolorsPipeline"]
_import_structure["pipeline_kolors_img2img"] = ["KolorsImg2ImgPipeline"]
_import_structure["text_encoder"] = ["ChatGLMModel"]
_import_structure["tokenizer"] = ["ChatGLMTokenizer"]
if TYPE_CHECKING or DIFFUSERS_SLOW_IMPORT:
try:
if not (is_transformers_available() and is_torch_available()) and is_sentencepiece_available():
raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
from ...utils.dummy_torch_and_transformers_and_sentencepiece_objects import *
else:
from .pipeline_kolors import KolorsPipeline
from .pipeline_kolors_img2img import KolorsImg2ImgPipeline
from .text_encoder import ChatGLMModel
from .tokenizer import ChatGLMTokenizer
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)
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