update

examples/controlnet/train_controlnet.py

@@ -571,9 +571,6 @@ def parse_args(input_args=None):
     if args.dataset_name is None and args.train_data_dir is None:
         raise ValueError("Specify either `--dataset_name` or `--train_data_dir`")
 
-    if args.dataset_name is not None and args.train_data_dir is not None:
-        raise ValueError("Specify only one of `--dataset_name` or `--train_data_dir`")
-
     if args.proportion_empty_prompts < 0 or args.proportion_empty_prompts > 1:
         raise ValueError("`--proportion_empty_prompts` must be in the range [0, 1].")
 
@@ -615,6 +612,7 @@ def make_train_dataset(args, tokenizer, accelerator):
             args.dataset_name,
             args.dataset_config_name,
             cache_dir=args.cache_dir,
+            data_dir=args.train_data_dir,
         )
     else:
         if args.train_data_dir is not None:

examples/controlnet/train_controlnet_sdxl.py

@@ -598,9 +598,6 @@ def parse_args(input_args=None):
     if args.dataset_name is None and args.train_data_dir is None:
         raise ValueError("Specify either `--dataset_name` or `--train_data_dir`")
 
-    if args.dataset_name is not None and args.train_data_dir is not None:
-        raise ValueError("Specify only one of `--dataset_name` or `--train_data_dir`")
-
     if args.proportion_empty_prompts < 0 or args.proportion_empty_prompts > 1:
         raise ValueError("`--proportion_empty_prompts` must be in the range [0, 1].")
 
@@ -642,6 +639,7 @@ def get_train_dataset(args, accelerator):
             args.dataset_name,
             args.dataset_config_name,
             cache_dir=args.cache_dir,
+            data_dir=args.train_data_dir,
         )
     else:
         if args.train_data_dir is not None:

examples/text_to_image/train_text_to_image_sdxl.py

@@ -481,7 +481,6 @@ def parse_args(input_args=None):
     # Sanity checks
     if args.dataset_name is None and args.train_data_dir is None:
         raise ValueError("Need either a dataset name or a training folder.")
-
     if args.proportion_empty_prompts < 0 or args.proportion_empty_prompts > 1:
         raise ValueError("`--proportion_empty_prompts` must be in the range [0, 1].")
 
@@ -819,9 +818,7 @@ def load_model_hook(models, input_dir):
     if args.dataset_name is not None:
         # Downloading and loading a dataset from the hub.
         dataset = load_dataset(
-            args.dataset_name,
-            args.dataset_config_name,
-            cache_dir=args.cache_dir,
+            args.dataset_name, args.dataset_config_name, cache_dir=args.cache_dir, data_dir=args.train_data_dir
         )
     else:
         data_files = {}