remove type annotations in new code because presumably they don't work in 3.7

1 files changed, 3 insertions, 3 deletions

diff --git a/modules/prompt_parser.py b/modules/prompt_parser.py
index 800b12c7..ee4c5d02 100644
--- a/modules/prompt_parser.py
+++ b/modules/prompt_parser.py
@@ -175,14 +175,14 @@ def get_multicond_prompt_list(prompts):
 

 class ComposableScheduledPromptConditioning:

     def __init__(self, schedules, weight=1.0):

-        self.schedules: list[ScheduledPromptConditioning] = schedules

+        self.schedules = schedules  # : list[ScheduledPromptConditioning]

         self.weight: float = weight

 

 

 class MulticondLearnedConditioning:

     def __init__(self, shape, batch):

         self.shape: tuple = shape  # the shape field is needed to send this object to DDIM/PLMS

-        self.batch: list[list[ComposableScheduledPromptConditioning]] = batch

+        self.batch = batch  # : list[list[ComposableScheduledPromptConditioning]]

 

 

 def get_multicond_learned_conditioning(model, prompts, steps) -> MulticondLearnedConditioning:

@@ -203,7 +203,7 @@ def get_multicond_learned_conditioning(model, prompts, steps) -> MulticondLearne
     return MulticondLearnedConditioning(shape=(len(prompts),), batch=res)

 

 

-def reconstruct_cond_batch(c: list[list[ScheduledPromptConditioning]], current_step):

+def reconstruct_cond_batch(c, current_step):  # c: list[list[ScheduledPromptConditioning]]

     param = c[0][0].cond

     res = torch.zeros((len(c),) + param.shape, device=param.device, dtype=param.dtype)

     for i, cond_schedule in enumerate(c):