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Administrator
stable-diffusion-webui
Commits
2a257296
Commit
2a257296
authored
Oct 28, 2022
by
Muhammad Rizqi Nur
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Gradient clipping in train tab
parent
737eb28f
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2 changed files
with
16 additions
and
1 deletion
+16
-1
hypernetwork.py
modules/hypernetworks/hypernetwork.py
+9
-1
ui.py
modules/ui.py
+7
-0
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modules/hypernetworks/hypernetwork.py
View file @
2a257296
...
@@ -327,7 +327,7 @@ def report_statistics(loss_info:dict):
...
@@ -327,7 +327,7 @@ def report_statistics(loss_info:dict):
def
train_hypernetwork
(
hypernetwork_name
,
learn_rate
,
batch_size
,
data_root
,
log_directory
,
training_width
,
training_height
,
steps
,
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
,
data_root
,
log_directory
,
training_width
,
training_height
,
steps
,
c
lip_grad_mode
,
clip_grad_value
,
c
reate_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.
# images allows training previews to have infotext. Importing it at the top causes a circular import problem.
from
modules
import
images
from
modules
import
images
...
@@ -384,6 +384,9 @@ def train_hypernetwork(hypernetwork_name, learn_rate, batch_size, data_root, log
...
@@ -384,6 +384,9 @@ def train_hypernetwork(hypernetwork_name, learn_rate, batch_size, data_root, log
if
ititial_step
>
steps
:
if
ititial_step
>
steps
:
return
hypernetwork
,
filename
return
hypernetwork
,
filename
clip_grad_mode_value
=
clip_grad_mode
==
"value"
clip_grad_mode_norm
=
clip_grad_mode
==
"norm"
scheduler
=
LearnRateScheduler
(
learn_rate
,
steps
,
ititial_step
)
scheduler
=
LearnRateScheduler
(
learn_rate
,
steps
,
ititial_step
)
# if optimizer == "AdamW": or else Adam / AdamW / SGD, etc...
# if optimizer == "AdamW": or else Adam / AdamW / SGD, etc...
optimizer
=
torch
.
optim
.
AdamW
(
weights
,
lr
=
scheduler
.
learn_rate
)
optimizer
=
torch
.
optim
.
AdamW
(
weights
,
lr
=
scheduler
.
learn_rate
)
...
@@ -426,6 +429,11 @@ def train_hypernetwork(hypernetwork_name, learn_rate, batch_size, data_root, log
...
@@ -426,6 +429,11 @@ def train_hypernetwork(hypernetwork_name, learn_rate, batch_size, data_root, log
steps_without_grad
=
0
steps_without_grad
=
0
assert
steps_without_grad
<
10
,
'no gradient found for the trained weight after backward() for 10 steps in a row; this is a bug; training cannot continue'
assert
steps_without_grad
<
10
,
'no gradient found for the trained weight after backward() for 10 steps in a row; this is a bug; training cannot continue'
if
clip_grad_mode_value
:
torch
.
nn
.
utils
.
clip_grad_value_
(
weights
,
clip_value
=
clip_grad_value
)
elif
clip_grad_mode_norm
:
torch
.
nn
.
utils
.
clip_grad_norm_
(
weights
,
max_norm
=
clip_grad_value
)
optimizer
.
step
()
optimizer
.
step
()
if
torch
.
isnan
(
losses
[
hypernetwork
.
step
%
losses
.
shape
[
0
]]):
if
torch
.
isnan
(
losses
[
hypernetwork
.
step
%
losses
.
shape
[
0
]]):
...
...
modules/ui.py
View file @
2a257296
...
@@ -1313,6 +1313,9 @@ def create_ui(wrap_gradio_gpu_call):
...
@@ -1313,6 +1313,9 @@ def create_ui(wrap_gradio_gpu_call):
training_width
=
gr
.
Slider
(
minimum
=
64
,
maximum
=
2048
,
step
=
64
,
label
=
"Width"
,
value
=
512
)
training_width
=
gr
.
Slider
(
minimum
=
64
,
maximum
=
2048
,
step
=
64
,
label
=
"Width"
,
value
=
512
)
training_height
=
gr
.
Slider
(
minimum
=
64
,
maximum
=
2048
,
step
=
64
,
label
=
"Height"
,
value
=
512
)
training_height
=
gr
.
Slider
(
minimum
=
64
,
maximum
=
2048
,
step
=
64
,
label
=
"Height"
,
value
=
512
)
steps
=
gr
.
Number
(
label
=
'Max steps'
,
value
=
100000
,
precision
=
0
)
steps
=
gr
.
Number
(
label
=
'Max steps'
,
value
=
100000
,
precision
=
0
)
with
gr
.
Row
():
clip_grad_mode
=
gr
.
Dropdown
(
value
=
"disabled"
,
label
=
"Gradient Clipping"
,
choices
=
[
"disabled"
,
"value"
,
"norm"
])
clip_grad_value
=
gr
.
Number
(
value
=
1.0
,
show_label
=
False
)
create_image_every
=
gr
.
Number
(
label
=
'Save an image to log directory every N steps, 0 to disable'
,
value
=
500
,
precision
=
0
)
create_image_every
=
gr
.
Number
(
label
=
'Save an image to log directory every N steps, 0 to disable'
,
value
=
500
,
precision
=
0
)
save_embedding_every
=
gr
.
Number
(
label
=
'Save a copy of embedding to log directory every N steps, 0 to disable'
,
value
=
500
,
precision
=
0
)
save_embedding_every
=
gr
.
Number
(
label
=
'Save a copy of embedding to log directory every N steps, 0 to disable'
,
value
=
500
,
precision
=
0
)
save_image_with_stored_embedding
=
gr
.
Checkbox
(
label
=
'Save images with embedding in PNG chunks'
,
value
=
True
)
save_image_with_stored_embedding
=
gr
.
Checkbox
(
label
=
'Save images with embedding in PNG chunks'
,
value
=
True
)
...
@@ -1406,6 +1409,8 @@ def create_ui(wrap_gradio_gpu_call):
...
@@ -1406,6 +1409,8 @@ def create_ui(wrap_gradio_gpu_call):
training_width
,
training_width
,
training_height
,
training_height
,
steps
,
steps
,
clip_grad_mode
,
clip_grad_value
,
create_image_every
,
create_image_every
,
save_embedding_every
,
save_embedding_every
,
template_file
,
template_file
,
...
@@ -1431,6 +1436,8 @@ def create_ui(wrap_gradio_gpu_call):
...
@@ -1431,6 +1436,8 @@ def create_ui(wrap_gradio_gpu_call):
training_width
,
training_width
,
training_height
,
training_height
,
steps
,
steps
,
clip_grad_mode
,
clip_grad_value
,
create_image_every
,
create_image_every
,
save_embedding_every
,
save_embedding_every
,
template_file
,
template_file
,
...
...
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