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renzhc
diffusers_dcu
Commits
f38e3626
Commit
f38e3626
authored
Mar 06, 2023
by
Patrick von Platen
Browse files
make style
parent
5f826a35
Changes
1
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1 changed file
with
3 additions
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7 deletions
+3
-7
scripts/convert_vae_diff_to_onnx.py
scripts/convert_vae_diff_to_onnx.py
+3
-7
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scripts/convert_vae_diff_to_onnx.py
View file @
f38e3626
...
@@ -13,16 +13,13 @@
...
@@ -13,16 +13,13 @@
# limitations under the License.
# limitations under the License.
import
argparse
import
argparse
import
os
import
shutil
from
pathlib
import
Path
from
pathlib
import
Path
import
torch
import
torch
from
packaging
import
version
from
torch.onnx
import
export
from
torch.onnx
import
export
import
onnx
from
diffusers
import
AutoencoderKL
from
diffusers
import
OnnxRuntimeModel
,
OnnxStableDiffusionPipeline
,
StableDiffusionPipeline
,
AutoencoderKL
from
packaging
import
version
is_torch_less_than_1_11
=
version
.
parse
(
version
.
parse
(
torch
.
__version__
).
base_version
)
<
version
.
parse
(
"1.11"
)
is_torch_less_than_1_11
=
version
.
parse
(
version
.
parse
(
torch
.
__version__
).
base_version
)
<
version
.
parse
(
"1.11"
)
...
@@ -81,7 +78,6 @@ def convert_models(model_path: str, output_path: str, opset: int, fp16: bool = F
...
@@ -81,7 +78,6 @@ def convert_models(model_path: str, output_path: str, opset: int, fp16: bool = F
# VAE DECODER
# VAE DECODER
vae_decoder
=
AutoencoderKL
.
from_pretrained
(
model_path
+
"/vae"
)
vae_decoder
=
AutoencoderKL
.
from_pretrained
(
model_path
+
"/vae"
)
vae_latent_channels
=
vae_decoder
.
config
.
latent_channels
vae_latent_channels
=
vae_decoder
.
config
.
latent_channels
vae_out_channels
=
vae_decoder
.
config
.
out_channels
# forward only through the decoder part
# forward only through the decoder part
vae_decoder
.
forward
=
vae_decoder
.
decode
vae_decoder
.
forward
=
vae_decoder
.
decode
onnx_export
(
onnx_export
(
...
...
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