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novelai-storage
Stable Diffusion Webui
Commits
707a4311
Commit
707a4311
authored
Oct 10, 2022
by
DepFA
Committed by
GitHub
Oct 10, 2022
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add pixel data footer
parent
ce2d7f7e
Changes
1
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1 changed file
with
46 additions
and
2 deletions
+46
-2
modules/textual_inversion/textual_inversion.py
modules/textual_inversion/textual_inversion.py
+46
-2
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modules/textual_inversion/textual_inversion.py
View file @
707a4311
...
@@ -12,6 +12,7 @@ from ..images import captionImageOverlay
...
@@ -12,6 +12,7 @@ from ..images import captionImageOverlay
import
numpy
as
np
import
numpy
as
np
import
base64
import
base64
import
json
import
json
import
zlib
from
modules
import
shared
,
devices
,
sd_hijack
,
processing
,
sd_models
from
modules
import
shared
,
devices
,
sd_hijack
,
processing
,
sd_models
import
modules.textual_inversion.dataset
import
modules.textual_inversion.dataset
...
@@ -20,7 +21,7 @@ class EmbeddingEncoder(json.JSONEncoder):
...
@@ -20,7 +21,7 @@ class EmbeddingEncoder(json.JSONEncoder):
def
default
(
self
,
obj
):
def
default
(
self
,
obj
):
if
isinstance
(
obj
,
torch
.
Tensor
):
if
isinstance
(
obj
,
torch
.
Tensor
):
return
{
'TORCHTENSOR'
:
obj
.
cpu
()
.
detach
()
.
numpy
()
.
tolist
()}
return
{
'TORCHTENSOR'
:
obj
.
cpu
()
.
detach
()
.
numpy
()
.
tolist
()}
return
json
.
JSONEncoder
.
default
(
self
,
o
)
return
json
.
JSONEncoder
.
default
(
self
,
o
bj
)
class
EmbeddingDecoder
(
json
.
JSONDecoder
):
class
EmbeddingDecoder
(
json
.
JSONDecoder
):
def
__init__
(
self
,
*
args
,
**
kwargs
):
def
__init__
(
self
,
*
args
,
**
kwargs
):
...
@@ -38,6 +39,45 @@ def embeddingFromB64(data):
...
@@ -38,6 +39,45 @@ def embeddingFromB64(data):
d
=
base64
.
b64decode
(
data
)
d
=
base64
.
b64decode
(
data
)
return
json
.
loads
(
d
,
cls
=
EmbeddingDecoder
)
return
json
.
loads
(
d
,
cls
=
EmbeddingDecoder
)
def
appendImageDataFooter
(
image
,
data
):
d
=
3
data_compressed
=
zlib
.
compress
(
json
.
dumps
(
data
,
cls
=
EmbeddingEncoder
)
.
encode
(),
level
=
9
)
dnp
=
np
.
frombuffer
(
data_compressed
,
np
.
uint8
)
.
copy
()
w
=
image
.
size
[
0
]
next_size
=
dnp
.
shape
[
0
]
+
(
w
-
(
dnp
.
shape
[
0
]
%
w
))
next_size
=
next_size
+
((
w
*
d
)
-
(
next_size
%
(
w
*
d
)))
dnp
.
resize
(
next_size
)
dnp
=
dnp
.
reshape
((
-
1
,
w
,
d
))
print
(
dnp
.
shape
)
im
=
Image
.
fromarray
(
dnp
,
mode
=
'RGB'
)
background
=
Image
.
new
(
'RGB'
,(
image
.
size
[
0
],
image
.
size
[
1
]
+
im
.
size
[
1
]
+
1
),(
0
,
0
,
0
))
background
.
paste
(
image
,(
0
,
0
))
background
.
paste
(
im
,(
0
,
image
.
size
[
1
]
+
1
))
return
background
def
crop_black
(
img
,
tol
=
0
):
mask
=
(
img
>
tol
)
.
all
(
2
)
mask0
,
mask1
=
mask
.
any
(
0
),
mask
.
any
(
1
)
col_start
,
col_end
=
mask0
.
argmax
(),
mask
.
shape
[
1
]
-
mask0
[::
-
1
]
.
argmax
()
row_start
,
row_end
=
mask1
.
argmax
(),
mask
.
shape
[
0
]
-
mask1
[::
-
1
]
.
argmax
()
return
img
[
row_start
:
row_end
,
col_start
:
col_end
]
def
extractImageDataFooter
(
image
):
d
=
3
outarr
=
crop_black
(
np
.
array
(
image
.
getdata
())
.
reshape
(
image
.
size
[
1
],
image
.
size
[
0
],
d
)
.
astype
(
np
.
uint8
)
)
lastRow
=
np
.
where
(
np
.
sum
(
outarr
,
axis
=
(
1
,
2
))
==
0
)
if
lastRow
[
0
]
.
shape
[
0
]
==
0
:
print
(
'Image data block not found.'
)
return
None
lastRow
=
lastRow
[
0
]
lastRow
=
lastRow
.
max
()
dataBlock
=
outarr
[
lastRow
+
1
::]
.
astype
(
np
.
uint8
)
.
flatten
()
.
tobytes
()
print
(
lastRow
)
data
=
zlib
.
decompress
(
dataBlock
)
return
json
.
loads
(
data
,
cls
=
EmbeddingDecoder
)
class
Embedding
:
class
Embedding
:
def
__init__
(
self
,
vec
,
name
,
step
=
None
):
def
__init__
(
self
,
vec
,
name
,
step
=
None
):
self
.
vec
=
vec
self
.
vec
=
vec
...
@@ -113,6 +153,9 @@ class EmbeddingDatabase:
...
@@ -113,6 +153,9 @@ class EmbeddingDatabase:
if
'sd-ti-embedding'
in
embed_image
.
text
:
if
'sd-ti-embedding'
in
embed_image
.
text
:
data
=
embeddingFromB64
(
embed_image
.
text
[
'sd-ti-embedding'
])
data
=
embeddingFromB64
(
embed_image
.
text
[
'sd-ti-embedding'
])
name
=
data
.
get
(
'name'
,
name
)
name
=
data
.
get
(
'name'
,
name
)
else
:
data
=
extractImageDataFooter
(
embed_image
)
name
=
data
.
get
(
'name'
,
name
)
else
:
else
:
data
=
torch
.
load
(
path
,
map_location
=
"cpu"
)
data
=
torch
.
load
(
path
,
map_location
=
"cpu"
)
...
@@ -190,7 +233,7 @@ def create_embedding(name, num_vectors_per_token, init_text='*'):
...
@@ -190,7 +233,7 @@ def create_embedding(name, num_vectors_per_token, init_text='*'):
return
fn
return
fn
def
train_embedding
(
embedding_name
,
learn_rate
,
data_root
,
log_directory
,
training_width
,
training_height
,
steps
,
num_repeats
,
create_image_every
,
save_embedding_every
,
template_file
):
def
train_embedding
(
embedding_name
,
learn_rate
,
data_root
,
log_directory
,
training_width
,
training_height
,
steps
,
num_repeats
,
create_image_every
,
save_embedding_every
,
template_file
,
save_image_with_stored_embedding
):
assert
embedding_name
,
'embedding not selected'
assert
embedding_name
,
'embedding not selected'
shared
.
state
.
textinfo
=
"Initializing textual inversion training..."
shared
.
state
.
textinfo
=
"Initializing textual inversion training..."
...
@@ -308,6 +351,7 @@ def train_embedding(embedding_name, learn_rate, data_root, log_directory, traini
...
@@ -308,6 +351,7 @@ def train_embedding(embedding_name, learn_rate, data_root, log_directory, traini
footer_right
=
'{}'
.
format
(
embedding
.
step
)
footer_right
=
'{}'
.
format
(
embedding
.
step
)
captioned_image
=
captionImageOverlay
(
image
,
title
,
footer_left
,
footer_mid
,
footer_right
)
captioned_image
=
captionImageOverlay
(
image
,
title
,
footer_left
,
footer_mid
,
footer_right
)
captioned_image
=
appendImageDataFooter
(
captioned_image
,
data
)
captioned_image
.
save
(
last_saved_image_chunks
,
"PNG"
,
pnginfo
=
info
)
captioned_image
.
save
(
last_saved_image_chunks
,
"PNG"
,
pnginfo
=
info
)
...
...
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