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novelai-storage
Stable Diffusion Webui
Commits
cb255fae
Commit
cb255fae
authored
Jan 08, 2023
by
Lee Bousfield
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Add support for loading VAEs from safetensor files
parent
8850fc23
Changes
1
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1 changed file
with
18 additions
and
3 deletions
+18
-3
modules/sd_vae.py
modules/sd_vae.py
+18
-3
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modules/sd_vae.py
View file @
cb255fae
import
torch
import
safetensors.torch
import
os
import
collections
from
collections
import
namedtuple
...
...
@@ -72,8 +73,10 @@ def refresh_vae_list(vae_path=vae_path, model_path=model_path):
candidates
=
[
*
glob
.
iglob
(
os
.
path
.
join
(
model_path
,
'**/*.vae.ckpt'
),
recursive
=
True
),
*
glob
.
iglob
(
os
.
path
.
join
(
model_path
,
'**/*.vae.pt'
),
recursive
=
True
),
*
glob
.
iglob
(
os
.
path
.
join
(
model_path
,
'**/*.vae.safetensors'
),
recursive
=
True
),
*
glob
.
iglob
(
os
.
path
.
join
(
vae_path
,
'**/*.ckpt'
),
recursive
=
True
),
*
glob
.
iglob
(
os
.
path
.
join
(
vae_path
,
'**/*.pt'
),
recursive
=
True
)
*
glob
.
iglob
(
os
.
path
.
join
(
vae_path
,
'**/*.pt'
),
recursive
=
True
),
*
glob
.
iglob
(
os
.
path
.
join
(
vae_path
,
'**/*.safetensors'
),
recursive
=
True
),
]
if
shared
.
cmd_opts
.
vae_path
is
not
None
and
os
.
path
.
isfile
(
shared
.
cmd_opts
.
vae_path
):
candidates
.
append
(
shared
.
cmd_opts
.
vae_path
)
...
...
@@ -137,6 +140,12 @@ def resolve_vae(checkpoint_file=None, vae_file="auto"):
if
os
.
path
.
isfile
(
vae_file_try
):
vae_file
=
vae_file_try
print
(
f
"Using VAE found similar to selected model: {vae_file}"
)
# if still not found, try look for ".vae.safetensors" beside model
if
vae_file
==
"auto"
:
vae_file_try
=
model_path
+
".vae.safetensors"
if
os
.
path
.
isfile
(
vae_file_try
):
vae_file
=
vae_file_try
print
(
f
"Using VAE found similar to selected model: {vae_file}"
)
# No more fallbacks for auto
if
vae_file
==
"auto"
:
vae_file
=
None
...
...
@@ -163,8 +172,14 @@ def load_vae(model, vae_file=None):
assert
os
.
path
.
isfile
(
vae_file
),
f
"VAE file doesn't exist: {vae_file}"
print
(
f
"Loading VAE weights from: {vae_file}"
)
store_base_vae
(
model
)
vae_ckpt
=
torch
.
load
(
vae_file
,
map_location
=
shared
.
weight_load_location
)
vae_dict_1
=
{
k
:
v
for
k
,
v
in
vae_ckpt
[
"state_dict"
]
.
items
()
if
k
[
0
:
4
]
!=
"loss"
and
k
not
in
vae_ignore_keys
}
_
,
extension
=
os
.
path
.
splitext
(
vae_file
)
if
extension
.
lower
()
==
".safetensors"
:
vae_ckpt
=
safetensors
.
torch
.
load_file
(
vae_file
,
device
=
shared
.
weight_load_location
)
else
:
vae_ckpt
=
torch
.
load
(
vae_file
,
map_location
=
shared
.
weight_load_location
)
if
"state_dict"
in
vae_ckpt
:
vae_ckpt
=
vae_ckpt
[
"state_dict"
]
vae_dict_1
=
{
k
:
v
for
k
,
v
in
vae_ckpt
.
items
()
if
k
[
0
:
4
]
!=
"loss"
and
k
not
in
vae_ignore_keys
}
_load_vae_dict
(
model
,
vae_dict_1
)
if
cache_enabled
:
...
...
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