Avoid GPU allocation during application startup

app.py

@@ -90,8 +90,8 @@ description = \
 - You can optionally generate a high-resolution sample if the input image is of high resolution. We split the original image into `Vertical Splits` by `Horizontal Splits` patches with some `Overlaps` in between. Due to computation constraints for the online demo, we recommend `Vertical Splits` x `Horizontal Splits` to be no more than 6 and to set 2 for `Overlaps`. The denoising steps should at least be set to 80 for high resolution samples.
 
 """
-@spaces.GPU()
 def get_devices():
+    # ZeroGPU emulates CUDA during startup; only generation requests a real GPU.
     device = "cuda" if torch.cuda.is_available() else "cpu"
     return device