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OpenDAS
diffusers
Commits
014ebc59
Commit
014ebc59
authored
Jun 27, 2022
by
Patrick von Platen
Browse files
Merge branch 'main' of
https://github.com/huggingface/diffusers
into main
parents
168e5b7f
43bf361a
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src/diffusers/pipelines/pipeline_latent_diffusion.py
src/diffusers/pipelines/pipeline_latent_diffusion.py
+2
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src/diffusers/pipelines/pipeline_latent_diffusion.py
View file @
014ebc59
...
@@ -1431,11 +1431,11 @@ class LatentDiffusionPipeline(DiffusionPipeline):
...
@@ -1431,11 +1431,11 @@ class LatentDiffusionPipeline(DiffusionPipeline):
uncond_input
=
self
.
tokenizer
([
""
],
padding
=
"max_length"
,
max_length
=
77
,
return_tensors
=
"pt"
).
to
(
uncond_input
=
self
.
tokenizer
([
""
],
padding
=
"max_length"
,
max_length
=
77
,
return_tensors
=
"pt"
).
to
(
torch_device
torch_device
)
)
uncond_embeddings
=
self
.
bert
(
uncond_input
.
input_ids
)
[
0
]
uncond_embeddings
=
self
.
bert
(
uncond_input
.
input_ids
)
# get text embedding
# get text embedding
text_input
=
self
.
tokenizer
(
prompt
,
padding
=
"max_length"
,
max_length
=
77
,
return_tensors
=
"pt"
).
to
(
torch_device
)
text_input
=
self
.
tokenizer
(
prompt
,
padding
=
"max_length"
,
max_length
=
77
,
return_tensors
=
"pt"
).
to
(
torch_device
)
text_embedding
=
self
.
bert
(
text_input
.
input_ids
)
[
0
]
text_embedding
=
self
.
bert
(
text_input
.
input_ids
)
num_trained_timesteps
=
self
.
noise_scheduler
.
config
.
timesteps
num_trained_timesteps
=
self
.
noise_scheduler
.
config
.
timesteps
inference_step_times
=
range
(
0
,
num_trained_timesteps
,
num_trained_timesteps
//
num_inference_steps
)
inference_step_times
=
range
(
0
,
num_trained_timesteps
,
num_trained_timesteps
//
num_inference_steps
)
...
...
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