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Move batchsize check

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This commit is contained in:
dan 2023-01-08 01:36:00 +08:00
parent 669fb18d52
commit 72497895b9
2 changed files with 3 additions and 3 deletions
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2
modules/hypernetworks/hypernetwork.py
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@ -456,7 +456,7 @@ def train_hypernetwork(hypernetwork_name, learn_rate, batch_size, gradient_step,
pin_memory = shared.opts.pin_memory pin_memory = shared.opts.pin_memory
ds = modules.textual_inversion.dataset.PersonalizedBase(data_root=data_root, width=training_width, height=training_height, repeats=shared.opts.training_image_repeats_per_epoch, placeholder_token=hypernetwork_name, model=shared.sd_model, cond_model=shared.sd_model.cond_stage_model, device=devices.device, template_file=template_file, include_cond=True, batch_size=batch_size, gradient_step=gradient_step, shuffle_tags=shuffle_tags, tag_drop_out=tag_drop_out, latent_sampling_method=latent_sampling_method) ds = modules.textual_inversion.dataset.PersonalizedBase(data_root=data_root, width=training_width, height=training_height, repeats=shared.opts.training_image_repeats_per_epoch, placeholder_token=hypernetwork_name, model=shared.sd_model, cond_model=shared.sd_model.cond_stage_model, device=devices.device, template_file=template_file, include_cond=True, batch_size=batch_size, gradient_step=gradient_step, shuffle_tags=shuffle_tags, tag_drop_out=tag_drop_out, latent_sampling_method=latent_sampling_method, varsize=varsize)
if shared.opts.save_training_settings_to_txt: if shared.opts.save_training_settings_to_txt:
saved_params = dict( saved_params = dict(

4
modules/textual_inversion/dataset.py
View file

@ -46,6 +46,8 @@ class PersonalizedBase(Dataset):
assert data_root, 'dataset directory not specified' assert data_root, 'dataset directory not specified'
assert os.path.isdir(data_root), "Dataset directory doesn't exist" assert os.path.isdir(data_root), "Dataset directory doesn't exist"
assert os.listdir(data_root), "Dataset directory is empty" assert os.listdir(data_root), "Dataset directory is empty"
if varsize:
assert batch_size == 1, 'variable img size must have batch size 1'
self.image_paths = [os.path.join(data_root, file_path) for file_path in os.listdir(data_root)] self.image_paths = [os.path.join(data_root, file_path) for file_path in os.listdir(data_root)]
@ -61,8 +63,6 @@ class PersonalizedBase(Dataset):
image = Image.open(path).convert('RGB') image = Image.open(path).convert('RGB')
if not varsize: if not varsize:
image = image.resize((width, height), PIL.Image.BICUBIC) image = image.resize((width, height), PIL.Image.BICUBIC)
else:
assert batch_size == 1, 'variable img size must have batch size 1'
except Exception: except Exception:
continue continue