Mirrored_Repos/InvokeAI
1
0
Fork 0
mirror of https://github.com/invoke-ai/InvokeAI synced 2024-08-30 20:32:17 +00:00
Code Issues Packages Projects Releases Wiki Activity

run correct version of black

Browse Source
This commit is contained in:
Lincoln Stein 2023-09-25 19:27:22 -04:00 committed by Kent Keirsey
parent d59e534cad
commit 3fd27b1aa9
7 changed files with 27 additions and 12 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

20
invokeai/backend/stable_diffusion/diffusion/shared_invokeai_diffusion.py
View File

@ -175,7 +175,10 @@ class InvokeAIDiffuserComponent:
dim=0, dim=0,
), ),
} }
(encoder_hidden_states, encoder_attention_mask,) = self._concat_conditionings_for_batch( (
encoder_hidden_states,
encoder_attention_mask,
) = self._concat_conditionings_for_batch(
conditioning_data.unconditioned_embeddings.embeds, conditioning_data.unconditioned_embeddings.embeds,
conditioning_data.text_embeddings.embeds, conditioning_data.text_embeddings.embeds,
) )
@ -237,7 +240,10 @@ class InvokeAIDiffuserComponent:
wants_cross_attention_control = len(cross_attention_control_types_to_do) > 0 wants_cross_attention_control = len(cross_attention_control_types_to_do) > 0
if wants_cross_attention_control: if wants_cross_attention_control:
(unconditioned_next_x, conditioned_next_x,) = self._apply_cross_attention_controlled_conditioning( (
unconditioned_next_x,
conditioned_next_x,
) = self._apply_cross_attention_controlled_conditioning(
sample, sample,
timestep, timestep,
conditioning_data, conditioning_data,
@ -245,7 +251,10 @@ class InvokeAIDiffuserComponent:
**kwargs, **kwargs,
) )
elif self.sequential_guidance: elif self.sequential_guidance:
(unconditioned_next_x, conditioned_next_x,) = self._apply_standard_conditioning_sequentially( (
unconditioned_next_x,
conditioned_next_x,
) = self._apply_standard_conditioning_sequentially(
sample, sample,
timestep, timestep,
conditioning_data, conditioning_data,
@ -253,7 +262,10 @@ class InvokeAIDiffuserComponent:
) )
else: else:
(unconditioned_next_x, conditioned_next_x,) = self._apply_standard_conditioning( (
unconditioned_next_x,
conditioned_next_x,
) = self._apply_standard_conditioning(
sample, sample,
timestep, timestep,
conditioning_data, conditioning_data,

5
invokeai/backend/training/textual_inversion_training.py
View File

@ -470,7 +470,10 @@ class TextualInversionDataset(Dataset):
if self.center_crop: if self.center_crop:
crop = min(img.shape[0], img.shape[1]) crop = min(img.shape[0], img.shape[1])
(h, w,) = ( (
h,
w,
) = (
img.shape[0], img.shape[0],
img.shape[1], img.shape[1],
) )