__init__.py 1.12 KB
Newer Older
Patrick von Platen's avatar
Patrick von Platen committed
1
2
3
# flake8: noqa
# There's no way to ignore "F401 '...' imported but unused" warnings in this
# module, but to preserve other warnings. So, don't check this module at all.
Patrick von Platen's avatar
Patrick von Platen committed
4
from .utils import is_inflect_available, is_transformers_available, is_unidecode_available
Patrick von Platen's avatar
Patrick von Platen committed
5
6


Patrick von Platen's avatar
Patrick von Platen committed
7
__version__ = "0.0.4"
Patrick von Platen's avatar
Patrick von Platen committed
8

Patrick von Platen's avatar
Patrick von Platen committed
9
from .modeling_utils import ModelMixin
10
from .models.unet import UNetModel
11
from .models.unet_ldm import UNetLDMModel
Nathan Lambert's avatar
Nathan Lambert committed
12
from .models.unet_rl import TemporalUNet
Patrick von Platen's avatar
Patrick von Platen committed
13
from .pipeline_utils import DiffusionPipeline
Patrick von Platen's avatar
Patrick von Platen committed
14
from .pipelines import BDDM, DDIM, DDPM, PNDM
15
from .schedulers import DDIMScheduler, DDPMScheduler, GradTTSScheduler, PNDMScheduler, SchedulerMixin
Patrick von Platen's avatar
Patrick von Platen committed
16

Patrick von Platen's avatar
Patrick von Platen committed
17

Patrick von Platen's avatar
Patrick von Platen committed
18
if is_transformers_available():
Patrick von Platen's avatar
Patrick von Platen committed
19
    from .models.unet_glide import GlideSuperResUNetModel, GlideTextToImageUNetModel, GlideUNetModel
Patrick von Platen's avatar
Patrick von Platen committed
20
    from .models.unet_grad_tts import UNetGradTTSModel
Patrick von Platen's avatar
Patrick von Platen committed
21
    from .pipelines import Glide, LatentDiffusion
Patrick von Platen's avatar
Patrick von Platen committed
22
23
else:
    from .utils.dummy_transformers_objects import *
Patrick von Platen's avatar
Patrick von Platen committed
24
25
26
27
28
29


if is_transformers_available() and is_inflect_available() and is_unidecode_available():
    from .pipelines import GradTTS
else:
    from .utils.dummy_transformers_and_inflect_and_unidecode_objects import *