Update app.py

app.py

@@ -92,21 +92,25 @@ def get_canny_filter(image):
     canny_image = Image.fromarray(image)
     return canny_image
 
-@spaces.GPU
 def process(input_image, prompt, negative_prompt, num_steps, controlnet_conditioning_scale, seed):
-    generator = torch.manual_seed(seed)
     
     # resize input_image to 1024x1024
     input_image = resize_image(input_image)
     
     canny_image = get_canny_filter(input_image)
   
-    images = pipe(
-        prompt, negative_prompt=negative_prompt, image=canny_image, num_inference_steps=num_steps, controlnet_conditioning_scale=float(controlnet_conditioning_scale),
-        generator=generator,
-        ).images
+    images = generate_(prompt, negative_prompt, canny_image, num_steps, controlnet_conditioning_scale, seed)
 
     return [canny_image,images[0]]
+
+@spaces.GPU
+def generate_(prompt, negative_prompt, canny_image, num_steps, controlnet_conditioning_scale, seed):
+    generator = torch.manual_seed(seed)
+    images = pipe(
+    prompt, negative_prompt=negative_prompt, image=canny_image, num_inference_steps=num_steps, controlnet_conditioning_scale=float(controlnet_conditioning_scale),
+    generator=generator,
+    ).images
+    return images
     
 block = gr.Blocks().queue()