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novelai-storage
Stable Diffusion Webui
Commits
669fb18d
Commit
669fb18d
authored
Jan 08, 2023
by
dan
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Plain Diff
Add checkbox for variable training dims
parent
448b9ced
Changes
4
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Showing
4 changed files
with
8 additions
and
5 deletions
+8
-5
modules/hypernetworks/hypernetwork.py
modules/hypernetworks/hypernetwork.py
+1
-1
modules/textual_inversion/dataset.py
modules/textual_inversion/dataset.py
+2
-2
modules/textual_inversion/textual_inversion.py
modules/textual_inversion/textual_inversion.py
+2
-2
modules/ui.py
modules/ui.py
+3
-0
No files found.
modules/hypernetworks/hypernetwork.py
View file @
669fb18d
...
...
@@ -403,7 +403,7 @@ def create_hypernetwork(name, enable_sizes, overwrite_old, layer_structure=None,
shared
.
reload_hypernetworks
()
def
train_hypernetwork
(
hypernetwork_name
,
learn_rate
,
batch_size
,
gradient_step
,
data_root
,
log_directory
,
training_width
,
training_height
,
steps
,
clip_grad_mode
,
clip_grad_value
,
shuffle_tags
,
tag_drop_out
,
latent_sampling_method
,
create_image_every
,
save_hypernetwork_every
,
template_file
,
preview_from_txt2img
,
preview_prompt
,
preview_negative_prompt
,
preview_steps
,
preview_sampler_index
,
preview_cfg_scale
,
preview_seed
,
preview_width
,
preview_height
):
def
train_hypernetwork
(
hypernetwork_name
,
learn_rate
,
batch_size
,
gradient_step
,
data_root
,
log_directory
,
training_width
,
training_height
,
varsize
,
steps
,
clip_grad_mode
,
clip_grad_value
,
shuffle_tags
,
tag_drop_out
,
latent_sampling_method
,
create_image_every
,
save_hypernetwork_every
,
template_file
,
preview_from_txt2img
,
preview_prompt
,
preview_negative_prompt
,
preview_steps
,
preview_sampler_index
,
preview_cfg_scale
,
preview_seed
,
preview_width
,
preview_height
):
# images allows training previews to have infotext. Importing it at the top causes a circular import problem.
from
modules
import
images
...
...
modules/textual_inversion/dataset.py
View file @
669fb18d
...
...
@@ -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'
...
...
modules/textual_inversion/textual_inversion.py
View file @
669fb18d
...
...
@@ -255,7 +255,7 @@ def validate_train_inputs(model_name, learn_rate, batch_size, gradient_step, dat
if
save_model_every
or
create_image_every
:
assert
log_directory
,
"Log directory is empty"
def
train_embedding
(
embedding_name
,
learn_rate
,
batch_size
,
gradient_step
,
data_root
,
log_directory
,
training_width
,
training_height
,
steps
,
clip_grad_mode
,
clip_grad_value
,
shuffle_tags
,
tag_drop_out
,
latent_sampling_method
,
create_image_every
,
save_embedding_every
,
template_file
,
save_image_with_stored_embedding
,
preview_from_txt2img
,
preview_prompt
,
preview_negative_prompt
,
preview_steps
,
preview_sampler_index
,
preview_cfg_scale
,
preview_seed
,
preview_width
,
preview_height
):
def
train_embedding
(
embedding_name
,
learn_rate
,
batch_size
,
gradient_step
,
data_root
,
log_directory
,
training_width
,
training_height
,
varsize
,
steps
,
clip_grad_mode
,
clip_grad_value
,
shuffle_tags
,
tag_drop_out
,
latent_sampling_method
,
create_image_every
,
save_embedding_every
,
template_file
,
save_image_with_stored_embedding
,
preview_from_txt2img
,
preview_prompt
,
preview_negative_prompt
,
preview_steps
,
preview_sampler_index
,
preview_cfg_scale
,
preview_seed
,
preview_width
,
preview_height
):
save_embedding_every
=
save_embedding_every
or
0
create_image_every
=
create_image_every
or
0
validate_train_inputs
(
embedding_name
,
learn_rate
,
batch_size
,
gradient_step
,
data_root
,
template_file
,
steps
,
save_embedding_every
,
create_image_every
,
log_directory
,
name
=
"embedding"
)
...
...
@@ -309,7 +309,7 @@ def train_embedding(embedding_name, learn_rate, batch_size, gradient_step, data_
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
=
embedding_name
,
model
=
shared
.
sd_model
,
cond_model
=
shared
.
sd_model
.
cond_stage_model
,
device
=
devices
.
device
,
template_file
=
template_file
,
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
=
embedding_name
,
model
=
shared
.
sd_model
,
cond_model
=
shared
.
sd_model
.
cond_stage_model
,
device
=
devices
.
device
,
template_file
=
template_file
,
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
:
save_settings_to_file
(
log_directory
,
{
**
dict
(
model_name
=
checkpoint
.
model_name
,
model_hash
=
checkpoint
.
hash
,
num_of_dataset_images
=
len
(
ds
),
num_vectors_per_token
=
len
(
embedding
.
vec
)),
**
locals
()})
...
...
modules/ui.py
View file @
669fb18d
...
...
@@ -1343,6 +1343,7 @@ def create_ui():
template_file
=
gr
.
Textbox
(
label
=
'Prompt template file'
,
value
=
os
.
path
.
join
(
script_path
,
"textual_inversion_templates"
,
"style_filewords.txt"
),
elem_id
=
"train_template_file"
)
training_width
=
gr
.
Slider
(
minimum
=
64
,
maximum
=
2048
,
step
=
8
,
label
=
"Width"
,
value
=
512
,
elem_id
=
"train_training_width"
)
training_height
=
gr
.
Slider
(
minimum
=
64
,
maximum
=
2048
,
step
=
8
,
label
=
"Height"
,
value
=
512
,
elem_id
=
"train_training_height"
)
varsize
=
gr
.
Checkbox
(
label
=
"Ignore dimension settings and do not resize images"
,
value
=
False
,
elem_id
=
"train_varsize"
)
steps
=
gr
.
Number
(
label
=
'Max steps'
,
value
=
100000
,
precision
=
0
,
elem_id
=
"train_steps"
)
with
FormRow
():
...
...
@@ -1449,6 +1450,7 @@ def create_ui():
log_directory
,
training_width
,
training_height
,
varsize
,
steps
,
clip_grad_mode
,
clip_grad_value
,
...
...
@@ -1480,6 +1482,7 @@ def create_ui():
log_directory
,
training_width
,
training_height
,
varsize
,
steps
,
clip_grad_mode
,
clip_grad_value
,
...
...
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