add Decorator for each condition

model.py

@@ -126,6 +126,7 @@ class Model:
         ).images
 
     @torch.inference_mode()
+    @spaces.GPU()
     def process_canny(
         self,
         image: np.ndarray,
@@ -304,6 +305,7 @@ class Model:
         return [control_image] + results
 
     @torch.inference_mode()
+    @spaces.GPU()
     def process_softedge(
         self,
         image: np.ndarray,
@@ -416,6 +418,7 @@ class Model:
         return [control_image] + results
 
     @torch.inference_mode()
+    @spaces.GPU()
     def process_segmentation(
         self,
         image: np.ndarray,
@@ -469,6 +472,7 @@ class Model:
         return [control_image] * num_images + results + conditions_of_generated_imgs
 
     @torch.inference_mode()
+    @spaces.GPU()
     def process_depth(
         self,
         image: np.ndarray,
@@ -566,6 +570,7 @@ class Model:
         return [control_image] + results
 
     @torch.inference_mode()
+    @spaces.GPU()
     def process_lineart(
         self,
         image: np.ndarray,