ford442 commited on
Commit
177e0b7
·
verified ·
1 Parent(s): 1341aa0

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +4 -4
app.py CHANGED
@@ -265,7 +265,7 @@ def uploadNote(prompt,num_inference_steps,guidance_scale,timestamp,denoise):
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  @spaces.GPU(duration=40)
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  def generate_30(
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- prompt: str,
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  negative_prompt: str = "",
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  use_negative_prompt: bool = False,
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  style_selection: str = "",
@@ -276,7 +276,7 @@ def generate_30(
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  num_inference_steps: int = 125,
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  randomize_seed: bool = False,
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  use_resolution_binning: bool = True,
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- latent_file, # Add latents file input
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  progress=gr.Progress(track_tqdm=True) # Add progress as a keyword argument
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  ):
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  #torch.backends.cudnn.benchmark = False
@@ -331,7 +331,7 @@ def generate_60(
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  num_inference_steps: int = 250,
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  randomize_seed: bool = False,
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  use_resolution_binning: bool = True,
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- latent_file, # Add latents file input
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  progress=gr.Progress(track_tqdm=True) # Add progress as a keyword argument
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  ):
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  #torch.backends.cudnn.benchmark = True
@@ -386,7 +386,7 @@ def generate_90(
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  num_inference_steps: int = 250,
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  randomize_seed: bool = False,
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  use_resolution_binning: bool = True,
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- latent_file, # Add latents file input
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  progress=gr.Progress(track_tqdm=True) # Add progress as a keyword argument
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  ):
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  #torch.backends.cudnn.benchmark = True
 
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  @spaces.GPU(duration=40)
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  def generate_30(
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+ prompt: str = "",
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  negative_prompt: str = "",
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  use_negative_prompt: bool = False,
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  style_selection: str = "",
 
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  num_inference_steps: int = 125,
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  randomize_seed: bool = False,
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  use_resolution_binning: bool = True,
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+ latent_file = None, # Add latents file input
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  progress=gr.Progress(track_tqdm=True) # Add progress as a keyword argument
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  ):
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  #torch.backends.cudnn.benchmark = False
 
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  num_inference_steps: int = 250,
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  randomize_seed: bool = False,
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  use_resolution_binning: bool = True,
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+ latent_file = None, # Add latents file input
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  progress=gr.Progress(track_tqdm=True) # Add progress as a keyword argument
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  ):
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  #torch.backends.cudnn.benchmark = True
 
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  num_inference_steps: int = 250,
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  randomize_seed: bool = False,
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  use_resolution_binning: bool = True,
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+ latent_file = None, # Add latents file input
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  progress=gr.Progress(track_tqdm=True) # Add progress as a keyword argument
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  ):
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  #torch.backends.cudnn.benchmark = True