[Examples] Remove datasets important that is not needed (#2267)

* [Examples] Remove datasets important that is not needed

* remove from lora tambien

examples/dreambooth/train_dreambooth.py

@@ -28,7 +28,6 @@ import torch.nn.functional as F
 import torch.utils.checkpoint
 from torch.utils.data import Dataset
 
-import datasets
 import diffusers
 import transformers
 from accelerate import Accelerator
@@ -509,11 +508,9 @@ def main(args):
     )
     logger.info(accelerator.state, main_process_only=False)
     if accelerator.is_local_main_process:
-        datasets.utils.logging.set_verbosity_warning()
         transformers.utils.logging.set_verbosity_warning()
         diffusers.utils.logging.set_verbosity_info()
     else:
-        datasets.utils.logging.set_verbosity_error()
         transformers.utils.logging.set_verbosity_error()
         diffusers.utils.logging.set_verbosity_error()
 

examples/dreambooth/train_dreambooth_lora.py

@@ -28,7 +28,6 @@ import torch.nn.functional as F
 import torch.utils.checkpoint
 from torch.utils.data import Dataset
 
-import datasets
 import diffusers
 import transformers
 from accelerate import Accelerator
@@ -550,11 +549,9 @@ def main(args):
     )
     logger.info(accelerator.state, main_process_only=False)
     if accelerator.is_local_main_process:
-        datasets.utils.logging.set_verbosity_warning()
         transformers.utils.logging.set_verbosity_warning()
         diffusers.utils.logging.set_verbosity_info()
     else:
-        datasets.utils.logging.set_verbosity_error()
         transformers.utils.logging.set_verbosity_error()
         diffusers.utils.logging.set_verbosity_error()
 

examples/textual_inversion/textual_inversion.py

@@ -27,7 +27,6 @@ import torch.nn.functional as F
 import torch.utils.checkpoint
 from torch.utils.data import Dataset
 
-import datasets
 import diffusers
 import PIL
 import transformers
@@ -486,11 +485,9 @@ def main():
     )
     logger.info(accelerator.state, main_process_only=False)
     if accelerator.is_local_main_process:
-        datasets.utils.logging.set_verbosity_warning()
         transformers.utils.logging.set_verbosity_warning()
         diffusers.utils.logging.set_verbosity_info()
     else:
-        datasets.utils.logging.set_verbosity_error()
         transformers.utils.logging.set_verbosity_error()
         diffusers.utils.logging.set_verbosity_error()