Update app.py

app.py

@@ -1,18 +1,4 @@
 
-if torch.cuda.is_available():
-    pipe = StableDiffusionXLPipeline.from_pretrained(
-        "RunDiffusion/Juggernaut-X-v10",
-        torch_dtype=torch.float16
-    )
-    #pipe.scheduler = EulerAncestralDiscreteScheduler.from_config(pipe.scheduler.config)
-    
-    
-    #pipe.load_lora_weights("ehristoforu/dalle-3-xl-v2", weight_name="dalle-3-xl-lora-v2.safetensors", adapter_name="dalle")
-    #pipe.set_adapters("dalle")
-
-    pipe.to("cuda")
-    
-    
 
 import gradio as gr
 from diffusers import StableDiffusionXLPipeline, UNet2DConditionModel, EulerDiscreteScheduler, LCMScheduler, AutoencoderKL,DiffusionPipeline