Update app.py

app.py

@@ -14,14 +14,8 @@ device = "cuda" if torch.cuda.is_available() else "cpu"
 # # notebook_login(token_key)
 
 @spaces.GPU
-if torch.cuda.is_available():
-    torch.cuda.max_memory_allocated(device=device)
-    pipe = AutoPipelineForText2Image.from_pretrained("Shaleen123/kandinsky_2.5", torch_dtype=torch.float16, variant="fp16", use_safetensors=True)
-    pipe.enable_xformers_memory_efficient_attention()
-    pipe = pipe.to(device)
-else: 
-    pipe = AutoPipelineForText2Image.from_pretrained("Shaleen123/kandinsky_2.5", use_safetensors=True)
-    pipe = pipe.to(device)
+pipe = AutoPipelineForText2Image.from_pretrained("Shaleen123/kandinsky_2.5", torch_dtype=torch.float16, variant="fp16", use_safetensors=True)
+pipe.enable_xformers_memory_efficient_attention()
 
 MAX_SEED = np.iinfo(np.int32).max
 MAX_IMAGE_SIZE = 1024