Update app.py

app.py

@@ -3,8 +3,8 @@ import torch
 from torch import autocast
 from diffusers import StableDiffusionPipeline
 
-#model_id = "models/nan2/lcbanner"
-pipe = StableDiffusionPipeline.from_pretrained("models/nan2/lcbanner", torch_type=torch.float16, revision="fp16")
+#model_id = "nan2/lcbanner"
+pipe = StableDiffusionPipeline.from_pretrained("nan2/lcbanner", torch_type=torch.float16, revision="fp16")
 pipe = pipe.to("cuda")
 #torch.backends.cudnn.benchmark = True
 num_samples = 2