No use

app.py

@@ -20,7 +20,6 @@ def noise_color(color, noise):
     return color + random.randint(- noise, noise)
 
 def predict(source_img, enlarge_top, enlarge_right, enlarge_bottom, enlarge_left, prompt, negative_prompt, denoising_steps, num_inference_steps, guidance_scale, randomize_seed, seed, debug_mode, progress=gr.Progress()):
-    start = time.time()
     progress(0, desc = "Preparing data...")
 
     if source_img is None:
@@ -117,7 +116,6 @@ def predict(source_img, enlarge_top, enlarge_right, enlarge_bottom, enlarge_left
         enlarged_image = None
         mask_image = None
 
-    end = time.time()
     return [
         output_image,
         "Start again to get a different result. The new image is " + str(output_width) + " pixels large and " + str(output_height) + " pixels high, so an image of " + str(output_width * output_height) + " pixels." + limitation,