Update app1.py

app1.py

@@ -126,7 +126,7 @@ def run_demo_server(pipe):
  minimum=1,
  maximum=20,
  step=1,
- value=10,
+ value=1,
  )
  denoise_steps = gr.Slider(
  label="Number of denoising steps",
@@ -406,7 +406,7 @@ def main():
 
  from pipeline.depth_normal_pipeline_clip_cfg import DepthNormalEstimationPipeline
 
- device = torch.device("cuda" if torch.cuda.is_available() else "cpu") 
+ #device = torch.device("cuda" if torch.cuda.is_available() else "cpu") 
  pipe = DepthNormalEstimationPipeline.from_pretrained(CHECKPOINT)
  
  try:
@@ -415,14 +415,13 @@ def main():
  except:
  pass # run without xformers
 
- pipe = pipe.to(device)
  try:
  import xformers
  pipe.enable_xformers_memory_efficient_attention()
  except:
  pass # run without xformers
 
- pipe = pipe.to(device)
+ pipe = pipe.to('cuda')
  prefetch_hf_cache(pipe)
  run_demo_server(pipe)