nice

app.py

@@ -403,7 +403,6 @@ def process_image(
     guidance_scale,
     seed,
 ):
-    # torch.cuda.synchronize()
     preprocess_start = time.time()
     print("processing image")
 
@@ -434,11 +433,12 @@ def process_image(
         image=control_image,
     ).images[0]
     print(f"\n-------------------------Inference done in: {time.time() - start:.2f} seconds-------------------------")
-    # torch.cuda.synchronize()
     torch.cuda.empty_cache()
+    
+    # upload block
     timestamp = int(time.time())
     img_path = f"{timestamp}.jpg"
-    results_path = f"{timestamp}_out_{prompt}.jpg"
+    results_path = f"{timestamp}_out.jpg"
     imageio.imsave(img_path, image)
     imageio.imsave(results_path, results)
     api.upload_file(