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novelai-storage
Stable Diffusion Webui
Commits
315d5a8e
Commit
315d5a8e
authored
Oct 10, 2022
by
DepFA
Committed by
GitHub
Oct 10, 2022
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update data dis[play style
parent
df6d0d92
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1 changed file
with
65 additions
and
23 deletions
+65
-23
modules/textual_inversion/textual_inversion.py
modules/textual_inversion/textual_inversion.py
+65
-23
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modules/textual_inversion/textual_inversion.py
View file @
315d5a8e
...
...
@@ -39,20 +39,59 @@ def embeddingFromB64(data):
d
=
base64
.
b64decode
(
data
)
return
json
.
loads
(
d
,
cls
=
EmbeddingDecoder
)
def
appendImageDataFooter
(
image
,
data
):
def
xorBlock
(
block
):
return
np
.
bitwise_xor
(
block
.
astype
(
np
.
uint8
),
((
np
.
random
.
RandomState
(
0xDEADBEEF
)
.
random
(
block
.
shape
)
*
255
)
.
astype
(
np
.
uint8
))
&
0x0F
)
def
styleBlock
(
block
,
sequence
):
im
=
Image
.
new
(
'RGB'
,(
block
.
shape
[
1
],
block
.
shape
[
0
]))
draw
=
ImageDraw
.
Draw
(
im
)
i
=
0
for
x
in
range
(
-
6
,
im
.
size
[
0
],
8
):
for
yi
,
y
in
enumerate
(
range
(
-
6
,
im
.
size
[
1
],
8
)):
offset
=
0
if
yi
%
2
==
0
:
offset
=
4
shade
=
sequence
[
i
%
len
(
sequence
)]
i
+=
1
draw
.
ellipse
((
x
+
offset
,
y
,
x
+
6
+
offset
,
y
+
6
),
fill
=
(
shade
,
shade
,
shade
)
)
fg
=
np
.
array
(
im
)
.
astype
(
np
.
uint8
)
&
0xF0
return
block
^
fg
def
insertImageDataEmbed
(
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
))
dnphigh
=
dnp
>>
4
dnplow
=
dnp
&
0x0F
h
=
image
.
size
[
1
]
next_size
=
dnplow
.
shape
[
0
]
+
(
h
-
(
dnplow
.
shape
[
0
]
%
h
))
next_size
=
next_size
+
((
h
*
d
)
-
(
next_size
%
(
h
*
d
)))
dnplow
.
resize
(
next_size
)
dnplow
=
dnplow
.
reshape
((
h
,
-
1
,
d
))
dnphigh
.
resize
(
next_size
)
dnphigh
=
dnphigh
.
reshape
((
h
,
-
1
,
d
))
edgeStyleWeights
=
list
(
data
[
'string_to_param'
]
.
values
())[
0
]
.
cpu
()
.
detach
()
.
numpy
()
.
tolist
()[
0
][:
1024
]
edgeStyleWeights
=
(
np
.
abs
(
edgeStyleWeights
)
/
np
.
max
(
np
.
abs
(
edgeStyleWeights
))
*
255
)
.
astype
(
np
.
uint8
)
dnplow
=
styleBlock
(
dnplow
,
sequence
=
edgeStyleWeights
)
dnplow
=
xorBlock
(
dnplow
)
dnphigh
=
styleBlock
(
dnphigh
,
sequence
=
edgeStyleWeights
[::
-
1
])
dnphigh
=
xorBlock
(
dnphigh
)
imlow
=
Image
.
fromarray
(
dnplow
,
mode
=
'RGB'
)
imhigh
=
Image
.
fromarray
(
dnphigh
,
mode
=
'RGB'
)
background
=
Image
.
new
(
'RGB'
,(
image
.
size
[
0
]
+
imlow
.
size
[
0
]
+
imhigh
.
size
[
0
]
+
2
,
image
.
size
[
1
]),(
0
,
0
,
0
))
background
.
paste
(
imlow
,(
0
,
0
))
background
.
paste
(
image
,(
imlow
.
size
[
0
]
+
1
,
0
))
background
.
paste
(
imhigh
,(
imlow
.
size
[
0
]
+
1
+
image
.
size
[
0
]
+
1
,
0
))
return
background
def
crop_black
(
img
,
tol
=
0
):
...
...
@@ -62,19 +101,22 @@ def crop_black(img,tol=0):
row_start
,
row_end
=
mask1
.
argmax
(),
mask
.
shape
[
0
]
-
mask1
[::
-
1
]
.
argmax
()
return
img
[
row_start
:
row_end
,
col_start
:
col_end
]
def
extractImageData
Footer
(
image
):
def
extractImageData
Embed
(
image
):
d
=
3
outarr
=
crop_black
(
np
.
array
(
image
.
convert
(
'RGB'
)
.
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.'
)
outarr
=
crop_black
(
np
.
array
(
image
.
getdata
())
.
reshape
(
image
.
size
[
1
],
image
.
size
[
0
],
d
)
.
astype
(
np
.
uint8
)
)
&
0x0F
blackCols
=
np
.
where
(
np
.
sum
(
outarr
,
axis
=
(
0
,
2
))
==
0
)
if
blackCols
[
0
]
.
shape
[
0
]
<
2
:
print
(
'
No Image data blocks
found.'
)
return
None
lastRow
=
lastRow
[
0
]
lastRow
=
lastRow
.
max
()
dataBlock
=
outarr
[
lastRow
+
1
::]
.
astype
(
np
.
uint8
)
.
flatten
()
.
tobytes
()
print
(
lastRow
)
dataBlocklower
=
outarr
[:,:
blackCols
[
0
]
.
min
(),:]
.
astype
(
np
.
uint8
)
dataBlockupper
=
outarr
[:,
blackCols
[
0
]
.
max
()
+
1
:,:]
.
astype
(
np
.
uint8
)
dataBlocklower
=
xorBlock
(
dataBlocklower
)
dataBlockupper
=
xorBlock
(
dataBlockupper
)
dataBlock
=
(
dataBlockupper
<<
4
)
|
(
dataBlocklower
)
dataBlock
=
dataBlock
.
flatten
()
.
tobytes
()
data
=
zlib
.
decompress
(
dataBlock
)
return
json
.
loads
(
data
,
cls
=
EmbeddingDecoder
)
...
...
@@ -154,7 +196,7 @@ class EmbeddingDatabase:
data
=
embeddingFromB64
(
embed_image
.
text
[
'sd-ti-embedding'
])
name
=
data
.
get
(
'name'
,
name
)
else
:
data
=
extractImageData
Footer
(
embed_image
)
data
=
extractImageData
Embed
(
embed_image
)
name
=
data
.
get
(
'name'
,
name
)
else
:
data
=
torch
.
load
(
path
,
map_location
=
"cpu"
)
...
...
@@ -351,7 +393,7 @@ def train_embedding(embedding_name, learn_rate, data_root, log_directory, traini
footer_right
=
'{}'
.
format
(
embedding
.
step
)
captioned_image
=
captionImageOverlay
(
image
,
title
,
footer_left
,
footer_mid
,
footer_right
)
captioned_image
=
appendImageDataFooter
(
captioned_image
,
data
)
captioned_image
=
insertImageDataEmbed
(
captioned_image
,
data
)
captioned_image
.
save
(
last_saved_image_chunks
,
"PNG"
,
pnginfo
=
info
)
...
...
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