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diffusers
Commits
c1796efd
Unverified
Commit
c1796efd
authored
Sep 16, 2022
by
Anton Lozhkov
Committed by
GitHub
Sep 16, 2022
Browse files
Quick fix for the img2img tests (#530)
* Quick fix for the img2img tests * Remove debug lines
parent
76d492ea
Changes
1
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8 deletions
+4
-8
tests/test_pipelines.py
tests/test_pipelines.py
+4
-8
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tests/test_pipelines.py
View file @
c1796efd
...
@@ -1208,10 +1208,9 @@ class PipelineTesterMixin(unittest.TestCase):
...
@@ -1208,10 +1208,9 @@ class PipelineTesterMixin(unittest.TestCase):
)
)
image
=
output
.
images
[
0
]
image
=
output
.
images
[
0
]
Image
.
fromarray
((
image
*
255
).
round
().
astype
(
"uint8"
)).
save
(
"fantasy_landscape.png"
)
assert
image
.
shape
==
(
512
,
768
,
3
)
assert
image
.
shape
==
(
512
,
768
,
3
)
assert
np
.
abs
(
expected_image
-
image
).
max
()
<
1e-2
# img2img is flaky across GPUs even in fp32, so using MAE here
assert
np
.
abs
(
expected_image
-
image
).
mean
()
<
1e-2
@
slow
@
slow
@
unittest
.
skipIf
(
torch_device
==
"cpu"
,
"Stable diffusion is supposed to run on GPU"
)
@
unittest
.
skipIf
(
torch_device
==
"cpu"
,
"Stable diffusion is supposed to run on GPU"
)
...
@@ -1253,10 +1252,9 @@ class PipelineTesterMixin(unittest.TestCase):
...
@@ -1253,10 +1252,9 @@ class PipelineTesterMixin(unittest.TestCase):
)
)
image
=
output
.
images
[
0
]
image
=
output
.
images
[
0
]
Image
.
fromarray
((
image
*
255
).
round
().
astype
(
"uint8"
)).
save
(
"fantasy_landscape_k_lms.png"
)
assert
image
.
shape
==
(
512
,
768
,
3
)
assert
image
.
shape
==
(
512
,
768
,
3
)
assert
np
.
abs
(
expected_image
-
image
).
max
()
<
1e-2
# img2img is flaky across GPUs even in fp32, so using MAE here
assert
np
.
abs
(
expected_image
-
image
).
mean
()
<
1e-2
@
slow
@
slow
@
unittest
.
skipIf
(
torch_device
==
"cpu"
,
"Stable diffusion is supposed to run on GPU"
)
@
unittest
.
skipIf
(
torch_device
==
"cpu"
,
"Stable diffusion is supposed to run on GPU"
)
...
@@ -1299,8 +1297,6 @@ class PipelineTesterMixin(unittest.TestCase):
...
@@ -1299,8 +1297,6 @@ class PipelineTesterMixin(unittest.TestCase):
)
)
image
=
output
.
images
[
0
]
image
=
output
.
images
[
0
]
Image
.
fromarray
((
image
*
255
).
round
().
astype
(
"uint8"
)).
save
(
"red_cat_sitting_on_a_park_bench.png"
)
assert
image
.
shape
==
(
512
,
512
,
3
)
assert
image
.
shape
==
(
512
,
512
,
3
)
assert
np
.
abs
(
expected_image
-
image
).
max
()
<
1e-2
assert
np
.
abs
(
expected_image
-
image
).
max
()
<
1e-2
...
...
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