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Stable Diffusion Webui
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d23a46ce
S
Stable Diffusion Webui
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Stable Diffusion Webui
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体验新版 GitCode,发现更多精彩内容 >>
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d23a46ce
编写于
10月 20, 2022
作者:
V
Vladimir Repin
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差异文件
Different approach to skip/interrupt with highres fix
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d1cb08bf
变更
2
隐藏空白更改
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Showing
2 changed file
with
7 addition
and
1 deletion
+7
-1
modules/processing.py
modules/processing.py
+3
-1
modules/sd_samplers.py
modules/sd_samplers.py
+4
-0
未找到文件。
modules/processing.py
浏览文件 @
d23a46ce
...
...
@@ -587,7 +587,9 @@ class StableDiffusionProcessingTxt2Img(StableDiffusionProcessing):
x
=
None
devices
.
torch_gc
()
return
self
.
sampler
.
sample_img2img
(
self
,
samples
,
noise
,
conditioning
,
unconditional_conditioning
,
steps
=
self
.
steps
)
or
samples
samples
=
self
.
sampler
.
sample_img2img
(
self
,
samples
,
noise
,
conditioning
,
unconditional_conditioning
,
steps
=
self
.
steps
)
return
samples
class
StableDiffusionProcessingImg2Img
(
StableDiffusionProcessing
):
...
...
modules/sd_samplers.py
浏览文件 @
d23a46ce
...
...
@@ -196,6 +196,7 @@ class VanillaStableDiffusionSampler:
x1
=
self
.
sampler
.
stochastic_encode
(
x
,
torch
.
tensor
([
t_enc
]
*
int
(
x
.
shape
[
0
])).
to
(
shared
.
device
),
noise
=
noise
)
self
.
init_latent
=
x
self
.
last_latent
=
x
self
.
step
=
0
samples
=
self
.
launch_sampling
(
steps
,
lambda
:
self
.
sampler
.
decode
(
x1
,
conditioning
,
t_enc
,
unconditional_guidance_scale
=
p
.
cfg_scale
,
unconditional_conditioning
=
unconditional_conditioning
))
...
...
@@ -206,6 +207,7 @@ class VanillaStableDiffusionSampler:
self
.
initialize
(
p
)
self
.
init_latent
=
None
self
.
last_latent
=
x
self
.
step
=
0
steps
=
steps
or
p
.
steps
...
...
@@ -388,6 +390,7 @@ class KDiffusionSampler:
extra_params_kwargs
[
'sigmas'
]
=
sigma_sched
self
.
model_wrap_cfg
.
init_latent
=
x
self
.
last_latent
=
x
samples
=
self
.
launch_sampling
(
steps
,
lambda
:
self
.
func
(
self
.
model_wrap_cfg
,
xi
,
extra_args
=
{
'cond'
:
conditioning
,
'uncond'
:
unconditional_conditioning
,
'cond_scale'
:
p
.
cfg_scale
},
disable
=
False
,
callback
=
self
.
callback_state
,
**
extra_params_kwargs
))
...
...
@@ -414,6 +417,7 @@ class KDiffusionSampler:
else
:
extra_params_kwargs
[
'sigmas'
]
=
sigmas
self
.
last_latent
=
x
samples
=
self
.
launch_sampling
(
steps
,
lambda
:
self
.
func
(
self
.
model_wrap_cfg
,
x
,
extra_args
=
{
'cond'
:
conditioning
,
'uncond'
:
unconditional_conditioning
,
'cond_scale'
:
p
.
cfg_scale
},
disable
=
False
,
callback
=
self
.
callback_state
,
**
extra_params_kwargs
))
return
samples
...
...
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