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novelai-storage
Stable Diffusion Webui
Commits
42fbda83
Commit
42fbda83
authored
Oct 19, 2022
by
discus0434
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Plain Diff
layer options moves into create hnet ui
parent
7f8670c4
Changes
5
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5 changed files
with
48 additions
and
43 deletions
+48
-43
modules/hypernetworks/hypernetwork.py
modules/hypernetworks/hypernetwork.py
+32
-32
modules/hypernetworks/ui.py
modules/hypernetworks/ui.py
+7
-2
modules/shared.py
modules/shared.py
+0
-2
modules/ui.py
modules/ui.py
+6
-2
webui.py
webui.py
+3
-5
No files found.
modules/hypernetworks/hypernetwork.py
View file @
42fbda83
...
...
@@ -19,37 +19,21 @@ from modules.textual_inversion import textual_inversion
from
modules.textual_inversion.learn_schedule
import
LearnRateScheduler
def
parse_layer_structure
(
dim
,
state_dict
):
i
=
0
res
=
[
1
]
while
(
key
:
=
"linear.{}.weight"
.
format
(
i
))
in
state_dict
:
weight
=
state_dict
[
key
]
res
.
append
(
len
(
weight
)
//
dim
)
i
+=
1
return
res
class
HypernetworkModule
(
torch
.
nn
.
Module
):
multiplier
=
1.0
layer_structure
=
None
add_layer_norm
=
False
def
__init__
(
self
,
dim
,
state_dict
=
None
):
def
__init__
(
self
,
dim
,
state_dict
=
None
,
layer_structure
=
None
,
add_layer_norm
=
False
):
super
()
.
__init__
()
if
(
state_dict
is
None
or
'linear.0.weight'
not
in
state_dict
)
and
self
.
layer_structure
is
None
:
layer_structure
=
(
1
,
2
,
1
)
if
layer_structure
is
not
None
:
assert
layer_structure
[
0
]
==
1
,
"Multiplier Sequence should start with size 1!"
assert
layer_structure
[
-
1
]
==
1
,
"Multiplier Sequence should end with size 1!"
else
:
if
self
.
layer_structure
is
not
None
:
assert
self
.
layer_structure
[
0
]
==
1
,
"Multiplier Sequence should start with size 1!"
assert
self
.
layer_structure
[
-
1
]
==
1
,
"Multiplier Sequence should end with size 1!"
layer_structure
=
self
.
layer_structure
else
:
layer_structure
=
parse_layer_structure
(
dim
,
state_dict
)
layer_structure
=
parse_layer_structure
(
dim
,
state_dict
)
linears
=
[]
for
i
in
range
(
len
(
layer_structure
)
-
1
):
linears
.
append
(
torch
.
nn
.
Linear
(
int
(
dim
*
layer_structure
[
i
]),
int
(
dim
*
layer_structure
[
i
+
1
])))
if
self
.
add_layer_norm
:
if
add_layer_norm
:
linears
.
append
(
torch
.
nn
.
LayerNorm
(
int
(
dim
*
layer_structure
[
i
+
1
])))
self
.
linear
=
torch
.
nn
.
Sequential
(
*
linears
)
...
...
@@ -77,38 +61,47 @@ class HypernetworkModule(torch.nn.Module):
return
x
+
self
.
linear
(
x
)
*
self
.
multiplier
def
trainables
(
self
):
res
=
[]
layer_structure
=
[]
for
layer
in
self
.
linear
:
res
+=
[
layer
.
weight
,
layer
.
bias
]
return
res
layer_structure
+=
[
layer
.
weight
,
layer
.
bias
]
return
layer_structure
def
apply_strength
(
value
=
None
):
HypernetworkModule
.
multiplier
=
value
if
value
is
not
None
else
shared
.
opts
.
sd_hypernetwork_strength
def
apply_layer_structure
(
value
=
None
):
HypernetworkModule
.
layer_structure
=
value
if
value
is
not
None
else
shared
.
opts
.
sd_hypernetwork_layer_structure
def
parse_layer_structure
(
dim
,
state_dict
):
i
=
0
layer_structure
=
[
1
]
while
(
key
:
=
"linear.{}.weight"
.
format
(
i
))
in
state_dict
:
weight
=
state_dict
[
key
]
layer_structure
.
append
(
len
(
weight
)
//
dim
)
i
+=
1
def
apply_layer_norm
(
value
=
None
):
HypernetworkModule
.
add_layer_norm
=
value
if
value
is
not
None
else
shared
.
opts
.
sd_hypernetwork_add_layer_norm
return
layer_structure
class
Hypernetwork
:
filename
=
None
name
=
None
def
__init__
(
self
,
name
=
None
,
enable_sizes
=
None
):
def
__init__
(
self
,
name
=
None
,
enable_sizes
=
None
,
layer_structure
=
None
,
add_layer_norm
=
False
):
self
.
filename
=
None
self
.
name
=
name
self
.
layers
=
{}
self
.
step
=
0
self
.
sd_checkpoint
=
None
self
.
sd_checkpoint_name
=
None
self
.
layer_structure
=
layer_structure
self
.
add_layer_norm
=
add_layer_norm
for
size
in
enable_sizes
or
[]:
self
.
layers
[
size
]
=
(
HypernetworkModule
(
size
),
HypernetworkModule
(
size
))
self
.
layers
[
size
]
=
(
HypernetworkModule
(
size
,
None
,
self
.
layer_structure
,
self
.
add_layer_norm
),
HypernetworkModule
(
size
,
None
,
self
.
layer_structure
,
self
.
add_layer_norm
),
)
def
weights
(
self
):
res
=
[]
...
...
@@ -128,6 +121,8 @@ class Hypernetwork:
state_dict
[
'step'
]
=
self
.
step
state_dict
[
'name'
]
=
self
.
name
state_dict
[
'layer_structure'
]
=
self
.
layer_structure
state_dict
[
'is_layer_norm'
]
=
self
.
add_layer_norm
state_dict
[
'sd_checkpoint'
]
=
self
.
sd_checkpoint
state_dict
[
'sd_checkpoint_name'
]
=
self
.
sd_checkpoint_name
...
...
@@ -142,10 +137,15 @@ class Hypernetwork:
for
size
,
sd
in
state_dict
.
items
():
if
type
(
size
)
==
int
:
self
.
layers
[
size
]
=
(
HypernetworkModule
(
size
,
sd
[
0
]),
HypernetworkModule
(
size
,
sd
[
1
]))
self
.
layers
[
size
]
=
(
HypernetworkModule
(
size
,
sd
[
0
],
state_dict
[
"layer_structure"
],
state_dict
[
"is_layer_norm"
]),
HypernetworkModule
(
size
,
sd
[
1
],
state_dict
[
"layer_structure"
],
state_dict
[
"is_layer_norm"
]),
)
self
.
name
=
state_dict
.
get
(
'name'
,
self
.
name
)
self
.
step
=
state_dict
.
get
(
'step'
,
0
)
self
.
layer_structure
=
state_dict
.
get
(
'layer_structure'
,
None
)
self
.
add_layer_norm
=
state_dict
.
get
(
'is_layer_norm'
,
False
)
self
.
sd_checkpoint
=
state_dict
.
get
(
'sd_checkpoint'
,
None
)
self
.
sd_checkpoint_name
=
state_dict
.
get
(
'sd_checkpoint_name'
,
None
)
...
...
modules/hypernetworks/ui.py
View file @
42fbda83
...
...
@@ -9,11 +9,16 @@ from modules import sd_hijack, shared, devices
from
modules.hypernetworks
import
hypernetwork
def
create_hypernetwork
(
name
,
enable_sizes
):
def
create_hypernetwork
(
name
,
enable_sizes
,
layer_structure
=
None
,
add_layer_norm
=
False
):
fn
=
os
.
path
.
join
(
shared
.
cmd_opts
.
hypernetwork_dir
,
f
"{name}.pt"
)
assert
not
os
.
path
.
exists
(
fn
),
f
"file {fn} already exists"
hypernet
=
modules
.
hypernetworks
.
hypernetwork
.
Hypernetwork
(
name
=
name
,
enable_sizes
=
[
int
(
x
)
for
x
in
enable_sizes
])
hypernet
=
modules
.
hypernetworks
.
hypernetwork
.
Hypernetwork
(
name
=
name
,
enable_sizes
=
[
int
(
x
)
for
x
in
enable_sizes
],
layer_structure
=
layer_structure
,
add_layer_norm
=
add_layer_norm
,
)
hypernet
.
save
(
fn
)
shared
.
reload_hypernetworks
()
...
...
modules/shared.py
View file @
42fbda83
...
...
@@ -260,8 +260,6 @@ options_templates.update(options_section(('sd', "Stable Diffusion"), {
"sd_model_checkpoint"
:
OptionInfo
(
None
,
"Stable Diffusion checkpoint"
,
gr
.
Dropdown
,
lambda
:
{
"choices"
:
modules
.
sd_models
.
checkpoint_tiles
()},
refresh
=
sd_models
.
list_models
),
"sd_checkpoint_cache"
:
OptionInfo
(
0
,
"Checkpoints to cache in RAM"
,
gr
.
Slider
,
{
"minimum"
:
0
,
"maximum"
:
10
,
"step"
:
1
}),
"sd_hypernetwork"
:
OptionInfo
(
"None"
,
"Hypernetwork"
,
gr
.
Dropdown
,
lambda
:
{
"choices"
:
[
"None"
]
+
[
x
for
x
in
hypernetworks
.
keys
()]},
refresh
=
reload_hypernetworks
),
"sd_hypernetwork_layer_structure"
:
OptionInfo
(
None
,
"Hypernetwork layer structure Default: (1,2,1)."
,
gr
.
Dropdown
,
lambda
:
{
"choices"
:
[(
1
,
2
,
1
),
(
1
,
2
,
2
,
1
),
(
1
,
2
,
4
,
2
,
1
)]}),
"sd_hypernetwork_add_layer_norm"
:
OptionInfo
(
False
,
"Add layer normalization to hypernetwork architecture."
),
"sd_hypernetwork_strength"
:
OptionInfo
(
1.0
,
"Hypernetwork strength"
,
gr
.
Slider
,
{
"minimum"
:
0.0
,
"maximum"
:
1.0
,
"step"
:
0.001
}),
"img2img_color_correction"
:
OptionInfo
(
False
,
"Apply color correction to img2img results to match original colors."
),
"save_images_before_color_correction"
:
OptionInfo
(
False
,
"Save a copy of image before applying color correction to img2img results"
),
...
...
modules/ui.py
View file @
42fbda83
...
...
@@ -458,14 +458,14 @@ def create_toprow(is_img2img):
with
gr
.
Row
():
with
gr
.
Column
(
scale
=
80
):
with
gr
.
Row
():
prompt
=
gr
.
Textbox
(
label
=
"Prompt"
,
elem_id
=
f
"{id_part}_prompt"
,
show_label
=
False
,
lines
=
2
,
prompt
=
gr
.
Textbox
(
label
=
"Prompt"
,
elem_id
=
f
"{id_part}_prompt"
,
show_label
=
False
,
lines
=
2
,
placeholder
=
"Prompt (press Ctrl+Enter or Alt+Enter to generate)"
)
with
gr
.
Row
():
with
gr
.
Column
(
scale
=
80
):
with
gr
.
Row
():
negative_prompt
=
gr
.
Textbox
(
label
=
"Negative prompt"
,
elem_id
=
f
"{id_part}_neg_prompt"
,
show_label
=
False
,
lines
=
2
,
negative_prompt
=
gr
.
Textbox
(
label
=
"Negative prompt"
,
elem_id
=
f
"{id_part}_neg_prompt"
,
show_label
=
False
,
lines
=
2
,
placeholder
=
"Negative prompt (press Ctrl+Enter or Alt+Enter to generate)"
)
...
...
@@ -1198,6 +1198,8 @@ def create_ui(wrap_gradio_gpu_call):
with
gr
.
Tab
(
label
=
"Create hypernetwork"
):
new_hypernetwork_name
=
gr
.
Textbox
(
label
=
"Name"
)
new_hypernetwork_sizes
=
gr
.
CheckboxGroup
(
label
=
"Modules"
,
value
=
[
"768"
,
"320"
,
"640"
,
"1280"
],
choices
=
[
"768"
,
"320"
,
"640"
,
"1280"
])
new_hypernetwork_layer_structure
=
gr
.
Dropdown
(
label
=
"Hypernetwork layer structure"
,
choices
=
[(
1
,
2
,
1
),
(
1
,
2
,
2
,
1
),
(
1
,
2
,
4
,
2
,
1
)])
new_hypernetwork_add_layer_norm
=
gr
.
Checkbox
(
label
=
"Add layer normalization"
)
with
gr
.
Row
():
with
gr
.
Column
(
scale
=
3
):
...
...
@@ -1280,6 +1282,8 @@ def create_ui(wrap_gradio_gpu_call):
inputs
=
[
new_hypernetwork_name
,
new_hypernetwork_sizes
,
new_hypernetwork_layer_structure
,
new_hypernetwork_add_layer_norm
,
],
outputs
=
[
train_hypernetwork_name
,
...
...
webui.py
View file @
42fbda83
...
...
@@ -85,9 +85,7 @@ def initialize():
shared
.
opts
.
onchange
(
"sd_model_checkpoint"
,
wrap_queued_call
(
lambda
:
modules
.
sd_models
.
reload_model_weights
(
shared
.
sd_model
)))
shared
.
opts
.
onchange
(
"sd_hypernetwork"
,
wrap_queued_call
(
lambda
:
modules
.
hypernetworks
.
hypernetwork
.
load_hypernetwork
(
shared
.
opts
.
sd_hypernetwork
)))
shared
.
opts
.
onchange
(
"sd_hypernetwork_strength"
,
modules
.
hypernetworks
.
hypernetwork
.
apply_strength
)
shared
.
opts
.
onchange
(
"sd_hypernetwork_layer_structure"
,
modules
.
hypernetworks
.
hypernetwork
.
apply_layer_structure
)
shared
.
opts
.
onchange
(
"sd_hypernetwork_add_layer_norm"
,
modules
.
hypernetworks
.
hypernetwork
.
apply_layer_norm
)
# make the program just exit at ctrl+c without waiting for anything
def
sigint_handler
(
sig
,
frame
):
print
(
f
'Interrupted with signal {sig} in {frame}'
)
...
...
@@ -142,7 +140,7 @@ def webui(launch_api=False):
create_api
(
app
)
wait_on_server
(
demo
)
sd_samplers
.
set_samplers
()
print
(
'Reloading Custom Scripts'
)
...
...
@@ -160,4 +158,4 @@ if __name__ == "__main__":
if
cmd_opts
.
nowebui
:
api_only
()
else
:
webui
(
cmd_opts
.
api
)
\ No newline at end of file
webui
(
cmd_opts
.
api
)
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