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Stable Diffusion Webui
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novelai-storage
Stable Diffusion Webui
Commits
72497895
Commit
72497895
authored
Jan 08, 2023
by
dan
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Plain Diff
Move batchsize check
parent
669fb18d
Changes
2
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2 changed files
with
3 additions
and
3 deletions
+3
-3
modules/hypernetworks/hypernetwork.py
modules/hypernetworks/hypernetwork.py
+1
-1
modules/textual_inversion/dataset.py
modules/textual_inversion/dataset.py
+2
-2
No files found.
modules/hypernetworks/hypernetwork.py
View file @
72497895
...
...
@@ -456,7 +456,7 @@ def train_hypernetwork(hypernetwork_name, learn_rate, batch_size, gradient_step,
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
:
saved_params
=
dict
(
...
...
modules/textual_inversion/dataset.py
View file @
72497895
...
...
@@ -46,6 +46,8 @@ class PersonalizedBase(Dataset):
assert
data_root
,
'dataset directory not specified'
assert
os
.
path
.
isdir
(
data_root
),
"Dataset directory doesn't exist"
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
)]
...
...
@@ -61,8 +63,6 @@ class PersonalizedBase(Dataset):
image
=
Image
.
open
(
path
)
.
convert
(
'RGB'
)
if
not
varsize
:
image
=
image
.
resize
((
width
,
height
),
PIL
.
Image
.
BICUBIC
)
else
:
assert
batch_size
==
1
,
'variable img size must have batch size 1'
except
Exception
:
continue
...
...
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