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Stable Diffusion Webui
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novelai-storage
Stable Diffusion Webui
Commits
e40ba281
Commit
e40ba281
authored
Oct 19, 2022
by
discus0434
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update
parent
7f2095c6
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modules/hypernetworks/hypernetwork.py
modules/hypernetworks/hypernetwork.py
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modules/hypernetworks/hypernetwork.py
View file @
e40ba281
...
...
@@ -309,7 +309,7 @@ def train_hypernetwork(hypernetwork_name, learn_rate, batch_size, data_root, log
with
torch
.
autocast
(
"cuda"
):
c
=
stack_conds
([
entry
.
cond
for
entry
in
entries
])
.
to
(
devices
.
device
)
c
=
torch
.
vstack
([
entry
.
cond
for
entry
in
entries
])
.
to
(
devices
.
device
)
#
c = torch.vstack([entry.cond for entry in entries]).to(devices.device)
x
=
torch
.
stack
([
entry
.
latent
for
entry
in
entries
])
.
to
(
devices
.
device
)
loss
=
shared
.
sd_model
(
x
,
c
)[
0
]
del
x
...
...
@@ -331,7 +331,7 @@ def train_hypernetwork(hypernetwork_name, learn_rate, batch_size, data_root, log
textual_inversion
.
write_loss
(
log_directory
,
"hypernetwork_loss.csv"
,
hypernetwork
.
step
,
len
(
ds
),
{
"loss"
:
f
"{mean_loss:.7f}"
,
"learn_rate"
:
f
"{scheduler.learn_rate:.7f}"
"learn_rate"
:
scheduler
.
learn_rate
})
if
hypernetwork
.
step
>
0
and
images_dir
is
not
None
and
hypernetwork
.
step
%
create_image_every
==
0
:
...
...
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