Update app.py

app.py

@@ -5,16 +5,12 @@ from diffusers import DiffusionPipeline
 import torch
 import spaces
 
-device = "cuda" if torch.cuda.is_available() else "cpu"
+device = "cuda"
 
-if torch.cuda.is_available():
-    torch.cuda.max_memory_allocated(device=device)
-    pipe = DiffusionPipeline.from_pretrained("sd-community/sdxl-flash", torch_dtype=torch.float16, use_safetensors=True)
-    pipe.enable_xformers_memory_efficient_attention()
-    pipe = pipe.to(device)
-else: 
-    pipe = DiffusionPipeline.from_pretrained("sd-community/sdxl-flash", use_safetensors=True)
-    pipe = pipe.to(device)
+torch.cuda.max_memory_allocated(device=device)
+pipe = DiffusionPipeline.from_pretrained("sd-community/sdxl-flash", torch_dtype=torch.float16, use_safetensors=True)
+pipe.enable_xformers_memory_efficient_attention()
+pipe = pipe.to(device)
 
 MAX_SEED = np.iinfo(np.int32).max
 MAX_IMAGE_SIZE = 1024