Skip to content
Projects
Groups
Snippets
Help
Loading...
Help
Contribute to GitLab
Sign in / Register
Toggle navigation
S
stable-diffusion-webui
Project
Project
Details
Activity
Cycle Analytics
Repository
Repository
Files
Commits
Branches
Tags
Contributors
Graph
Compare
Charts
Issues
0
Issues
0
List
Board
Labels
Milestones
Merge Requests
0
Merge Requests
0
CI / CD
CI / CD
Pipelines
Jobs
Schedules
Charts
Wiki
Wiki
Snippets
Snippets
Members
Members
Collapse sidebar
Close sidebar
Activity
Graph
Charts
Create a new issue
Jobs
Commits
Issue Boards
Open sidebar
Administrator
stable-diffusion-webui
Commits
448b9ced
Commit
448b9ced
authored
Jan 07, 2023
by
dan
Browse files
Options
Browse Files
Download
Email Patches
Plain Diff
Allow variable img size
parent
15123339
Hide whitespace changes
Inline
Side-by-side
Showing
2 changed files
with
13 additions
and
9 deletions
+13
-9
dataset.py
modules/textual_inversion/dataset.py
+11
-7
textual_inversion.py
modules/textual_inversion/textual_inversion.py
+2
-2
No files found.
modules/textual_inversion/dataset.py
View file @
448b9ced
...
@@ -17,7 +17,7 @@ re_numbers_at_start = re.compile(r"^[-\d]+\s*")
...
@@ -17,7 +17,7 @@ re_numbers_at_start = re.compile(r"^[-\d]+\s*")
class
DatasetEntry
:
class
DatasetEntry
:
def
__init__
(
self
,
filename
=
None
,
filename_text
=
None
,
latent_dist
=
None
,
latent_sample
=
None
,
cond
=
None
,
cond_text
=
None
,
pixel_values
=
None
):
def
__init__
(
self
,
filename
=
None
,
filename_text
=
None
,
latent_dist
=
None
,
latent_sample
=
None
,
cond
=
None
,
cond_text
=
None
,
pixel_values
=
None
,
img_shape
=
None
):
self
.
filename
=
filename
self
.
filename
=
filename
self
.
filename_text
=
filename_text
self
.
filename_text
=
filename_text
self
.
latent_dist
=
latent_dist
self
.
latent_dist
=
latent_dist
...
@@ -25,6 +25,7 @@ class DatasetEntry:
...
@@ -25,6 +25,7 @@ class DatasetEntry:
self
.
cond
=
cond
self
.
cond
=
cond
self
.
cond_text
=
cond_text
self
.
cond_text
=
cond_text
self
.
pixel_values
=
pixel_values
self
.
pixel_values
=
pixel_values
self
.
img_shape
=
img_shape
class
PersonalizedBase
(
Dataset
):
class
PersonalizedBase
(
Dataset
):
...
@@ -33,8 +34,6 @@ class PersonalizedBase(Dataset):
...
@@ -33,8 +34,6 @@ class PersonalizedBase(Dataset):
self
.
placeholder_token
=
placeholder_token
self
.
placeholder_token
=
placeholder_token
self
.
width
=
width
self
.
height
=
height
self
.
flip
=
transforms
.
RandomHorizontalFlip
(
p
=
flip_p
)
self
.
flip
=
transforms
.
RandomHorizontalFlip
(
p
=
flip_p
)
self
.
dataset
=
[]
self
.
dataset
=
[]
...
@@ -59,7 +58,11 @@ class PersonalizedBase(Dataset):
...
@@ -59,7 +58,11 @@ class PersonalizedBase(Dataset):
if
shared
.
state
.
interrupted
:
if
shared
.
state
.
interrupted
:
raise
Exception
(
"interrupted"
)
raise
Exception
(
"interrupted"
)
try
:
try
:
image
=
Image
.
open
(
path
)
.
convert
(
'RGB'
)
.
resize
((
self
.
width
,
self
.
height
),
PIL
.
Image
.
BICUBIC
)
image
=
Image
.
open
(
path
)
.
convert
(
'RGB'
)
if
width
<
2000
:
image
=
image
.
resize
((
width
,
height
),
PIL
.
Image
.
BICUBIC
)
else
:
assert
batch_size
==
1
,
'variable img size must have batch size 1'
except
Exception
:
except
Exception
:
continue
continue
...
@@ -88,14 +91,14 @@ class PersonalizedBase(Dataset):
...
@@ -88,14 +91,14 @@ class PersonalizedBase(Dataset):
if
latent_sampling_method
==
"once"
or
(
latent_sampling_method
==
"deterministic"
and
not
isinstance
(
latent_dist
,
DiagonalGaussianDistribution
)):
if
latent_sampling_method
==
"once"
or
(
latent_sampling_method
==
"deterministic"
and
not
isinstance
(
latent_dist
,
DiagonalGaussianDistribution
)):
latent_sample
=
model
.
get_first_stage_encoding
(
latent_dist
)
.
squeeze
()
.
to
(
devices
.
cpu
)
latent_sample
=
model
.
get_first_stage_encoding
(
latent_dist
)
.
squeeze
()
.
to
(
devices
.
cpu
)
latent_sampling_method
=
"once"
latent_sampling_method
=
"once"
entry
=
DatasetEntry
(
filename
=
path
,
filename_text
=
filename_text
,
latent_sample
=
latent_sample
)
entry
=
DatasetEntry
(
filename
=
path
,
filename_text
=
filename_text
,
latent_sample
=
latent_sample
,
img_shape
=
image
.
size
)
elif
latent_sampling_method
==
"deterministic"
:
elif
latent_sampling_method
==
"deterministic"
:
# Works only for DiagonalGaussianDistribution
# Works only for DiagonalGaussianDistribution
latent_dist
.
std
=
0
latent_dist
.
std
=
0
latent_sample
=
model
.
get_first_stage_encoding
(
latent_dist
)
.
squeeze
()
.
to
(
devices
.
cpu
)
latent_sample
=
model
.
get_first_stage_encoding
(
latent_dist
)
.
squeeze
()
.
to
(
devices
.
cpu
)
entry
=
DatasetEntry
(
filename
=
path
,
filename_text
=
filename_text
,
latent_sample
=
latent_sample
)
entry
=
DatasetEntry
(
filename
=
path
,
filename_text
=
filename_text
,
latent_sample
=
latent_sample
,
img_shape
=
image
.
size
)
elif
latent_sampling_method
==
"random"
:
elif
latent_sampling_method
==
"random"
:
entry
=
DatasetEntry
(
filename
=
path
,
filename_text
=
filename_text
,
latent_dist
=
latent_dist
)
entry
=
DatasetEntry
(
filename
=
path
,
filename_text
=
filename_text
,
latent_dist
=
latent_dist
,
img_shape
=
image
.
size
)
if
not
(
self
.
tag_drop_out
!=
0
or
self
.
shuffle_tags
):
if
not
(
self
.
tag_drop_out
!=
0
or
self
.
shuffle_tags
):
entry
.
cond_text
=
self
.
create_text
(
filename_text
)
entry
.
cond_text
=
self
.
create_text
(
filename_text
)
...
@@ -151,6 +154,7 @@ class BatchLoader:
...
@@ -151,6 +154,7 @@ class BatchLoader:
self
.
cond_text
=
[
entry
.
cond_text
for
entry
in
data
]
self
.
cond_text
=
[
entry
.
cond_text
for
entry
in
data
]
self
.
cond
=
[
entry
.
cond
for
entry
in
data
]
self
.
cond
=
[
entry
.
cond
for
entry
in
data
]
self
.
latent_sample
=
torch
.
stack
([
entry
.
latent_sample
for
entry
in
data
])
.
squeeze
(
1
)
self
.
latent_sample
=
torch
.
stack
([
entry
.
latent_sample
for
entry
in
data
])
.
squeeze
(
1
)
self
.
img_shape
=
[
entry
.
img_shape
for
entry
in
data
]
#self.emb_index = [entry.emb_index for entry in data]
#self.emb_index = [entry.emb_index for entry in data]
#print(self.latent_sample.device)
#print(self.latent_sample.device)
...
...
modules/textual_inversion/textual_inversion.py
View file @
448b9ced
...
@@ -451,8 +451,8 @@ def train_embedding(embedding_name, learn_rate, batch_size, gradient_step, data_
...
@@ -451,8 +451,8 @@ def train_embedding(embedding_name, learn_rate, batch_size, gradient_step, data_
else
:
else
:
p
.
prompt
=
batch
.
cond_text
[
0
]
p
.
prompt
=
batch
.
cond_text
[
0
]
p
.
steps
=
20
p
.
steps
=
20
p
.
width
=
training_width
p
.
width
=
batch
.
img_shape
[
0
][
0
]
p
.
height
=
training_height
p
.
height
=
batch
.
img_shape
[
0
][
1
]
preview_text
=
p
.
prompt
preview_text
=
p
.
prompt
...
...
Write
Preview
Markdown
is supported
0%
Try again
or
attach a new file
Attach a file
Cancel
You are about to add
0
people
to the discussion. Proceed with caution.
Finish editing this message first!
Cancel
Please
register
or
sign in
to comment