Update app.py

app.py

@@ -18,6 +18,7 @@ pipe = StableDiffusionXLControlNetPipeline.from_pretrained(
     controlnet=controlnet,
     torch_dtype=torch.float16,
 ).to('cuda')
+pipe.enable_freeu(b1=1.1, b2=1.1, s1=0.5, s2=0.7)
 pipe.enable_xformers_memory_efficient_attention()
 
 low_threshold = 100
@@ -51,8 +52,6 @@ def process(input_image, prompt, negative_prompt, num_steps, controlnet_conditio
     input_image = resize_image(input_image)
     
     canny_image = get_canny_filter(input_image)
-
-    pipe.enable_freeu(b1=1.1, b2=1.1, s1=0.5, s2=0.7)
   
     images = pipe(
         prompt, negative_prompt=negative_prompt, image=canny_image, num_inference_steps=num_steps, controlnet_conditioning_scale=float(controlnet_conditioning_scale),