Add checkbox for variable training dims

1 files changed, 2 insertions, 2 deletions

diff --git a/modules/textual_inversion/dataset.py b/modules/textual_inversion/dataset.py
index 375178ed..7f8a314f 100644
--- a/modules/textual_inversion/dataset.py
+++ b/modules/textual_inversion/dataset.py
@@ -29,7 +29,7 @@ class DatasetEntry:
 

 

 class PersonalizedBase(Dataset):

-    def __init__(self, data_root, width, height, repeats, flip_p=0.5, placeholder_token="*", model=None, cond_model=None, device=None, template_file=None, include_cond=False, batch_size=1, gradient_step=1, shuffle_tags=False, tag_drop_out=0, latent_sampling_method='once'):

+    def __init__(self, data_root, width, height, repeats, flip_p=0.5, placeholder_token="*", model=None, cond_model=None, device=None, template_file=None, include_cond=False, batch_size=1, gradient_step=1, shuffle_tags=False, tag_drop_out=0, latent_sampling_method='once', varsize=False):

         re_word = re.compile(shared.opts.dataset_filename_word_regex) if len(shared.opts.dataset_filename_word_regex) > 0 else None

 

         self.placeholder_token = placeholder_token

@@ -59,7 +59,7 @@ class PersonalizedBase(Dataset):
                 raise Exception("interrupted")

             try:

                 image = Image.open(path).convert('RGB')

-                if width < 2000:

+                if not varsize:

                     image = image.resize((width, height), PIL.Image.BICUBIC)

                 else:

                     assert batch_size == 1, 'variable img size must have batch size 1'