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Administrator
stable-diffusion-webui
Commits
3f43d8a9
Unverified
Commit
3f43d8a9
authored
Jan 11, 2023
by
Vladimir Mandic
Committed by
GitHub
Jan 11, 2023
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set descriptions
parent
45a8b758
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Showing
3 changed files
with
12 additions
and
3 deletions
+12
-3
hypernetwork.py
modules/hypernetworks/hypernetwork.py
+3
-1
preprocess.py
modules/textual_inversion/preprocess.py
+6
-1
textual_inversion.py
modules/textual_inversion/textual_inversion.py
+3
-1
No files found.
modules/hypernetworks/hypernetwork.py
View file @
3f43d8a9
...
@@ -619,7 +619,9 @@ def train_hypernetwork(hypernetwork_name, learn_rate, batch_size, gradient_step,
...
@@ -619,7 +619,9 @@ def train_hypernetwork(hypernetwork_name, learn_rate, batch_size, gradient_step,
epoch_num
=
hypernetwork
.
step
//
steps_per_epoch
epoch_num
=
hypernetwork
.
step
//
steps_per_epoch
epoch_step
=
hypernetwork
.
step
%
steps_per_epoch
epoch_step
=
hypernetwork
.
step
%
steps_per_epoch
pbar
.
set_description
(
f
"[Epoch {epoch_num}: {epoch_step+1}/{steps_per_epoch}]loss: {loss_step:.7f}"
)
description
=
f
"Training hypernetwork [Epoch {epoch_num}: {epoch_step+1}/{steps_per_epoch}]loss: {loss_step:.7f}"
pbar
.
set_description
(
description
)
shared
.
state
.
textinfo
=
description
if
hypernetwork_dir
is
not
None
and
steps_done
%
save_hypernetwork_every
==
0
:
if
hypernetwork_dir
is
not
None
and
steps_done
%
save_hypernetwork_every
==
0
:
# Before saving, change name to match current checkpoint.
# Before saving, change name to match current checkpoint.
hypernetwork_name_every
=
f
'{hypernetwork_name}-{steps_done}'
hypernetwork_name_every
=
f
'{hypernetwork_name}-{steps_done}'
...
...
modules/textual_inversion/preprocess.py
View file @
3f43d8a9
...
@@ -135,7 +135,8 @@ def preprocess_work(process_src, process_dst, process_width, process_height, pre
...
@@ -135,7 +135,8 @@ def preprocess_work(process_src, process_dst, process_width, process_height, pre
params
.
process_caption_deepbooru
=
process_caption_deepbooru
params
.
process_caption_deepbooru
=
process_caption_deepbooru
params
.
preprocess_txt_action
=
preprocess_txt_action
params
.
preprocess_txt_action
=
preprocess_txt_action
for
index
,
imagefile
in
enumerate
(
tqdm
.
tqdm
(
files
)):
pbar
=
tqdm
.
tqdm
(
files
)
for
index
,
imagefile
in
enumerate
(
pbar
):
params
.
subindex
=
0
params
.
subindex
=
0
filename
=
os
.
path
.
join
(
src
,
imagefile
)
filename
=
os
.
path
.
join
(
src
,
imagefile
)
try
:
try
:
...
@@ -143,6 +144,10 @@ def preprocess_work(process_src, process_dst, process_width, process_height, pre
...
@@ -143,6 +144,10 @@ def preprocess_work(process_src, process_dst, process_width, process_height, pre
except
Exception
:
except
Exception
:
continue
continue
description
=
f
"Preprocessing [Image {index}/{len(files)}]"
pbar
.
set_description
(
description
)
shared
.
state
.
textinfo
=
description
params
.
src
=
filename
params
.
src
=
filename
existing_caption
=
None
existing_caption
=
None
...
...
modules/textual_inversion/textual_inversion.py
View file @
3f43d8a9
...
@@ -476,7 +476,9 @@ def train_embedding(embedding_name, learn_rate, batch_size, gradient_step, data_
...
@@ -476,7 +476,9 @@ def train_embedding(embedding_name, learn_rate, batch_size, gradient_step, data_
epoch_num
=
embedding
.
step
//
steps_per_epoch
epoch_num
=
embedding
.
step
//
steps_per_epoch
epoch_step
=
embedding
.
step
%
steps_per_epoch
epoch_step
=
embedding
.
step
%
steps_per_epoch
pbar
.
set_description
(
f
"[Epoch {epoch_num}: {epoch_step+1}/{steps_per_epoch}]loss: {loss_step:.7f}"
)
description
=
f
"Training textual inversion [Epoch {epoch_num}: {epoch_step+1}/{steps_per_epoch}]loss: {loss_step:.7f}"
pbar
.
set_description
(
description
)
shared
.
state
.
textinfo
=
description
if
embedding_dir
is
not
None
and
steps_done
%
save_embedding_every
==
0
:
if
embedding_dir
is
not
None
and
steps_done
%
save_embedding_every
==
0
:
# Before saving, change name to match current checkpoint.
# Before saving, change name to match current checkpoint.
embedding_name_every
=
f
'{embedding_name}-{steps_done}'
embedding_name_every
=
f
'{embedding_name}-{steps_done}'
...
...
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