diff --git a/nodes.py b/nodes.py
index 9529341..baea838 100644
--- a/nodes.py
+++ b/nodes.py
@@ -361,11 +361,18 @@ class reactor:
         pil_images = batch_tensor_to_pil(input_image)
 
         # NSFW checker
+        logger.status("Checking for any unsafe content")
         pil_images_sfw = []
+        tmp_img = "reactor_tmp.png"
         for img in pil_images:
-            img.save("tmp.png")
-            if not sfw.nsfw_image("tmp.png",NSFWDET_MODEL_PATH):
+            if state.interrupted or model_management.processing_interrupted():
+                logger.status("Interrupted by User")
+                break
+            img.save(tmp_img)
+            if not sfw.nsfw_image(tmp_img, NSFWDET_MODEL_PATH):
                 pil_images_sfw.append(img)
+        if os.path.exists(tmp_img):
+            os.remove(tmp_img)
         pil_images = pil_images_sfw
         # # #
 
diff --git a/scripts/reactor_sfw.py b/scripts/reactor_sfw.py
index 029ea55..474188d 100644
--- a/scripts/reactor_sfw.py
+++ b/scripts/reactor_sfw.py
@@ -7,7 +7,7 @@ SCORE = 0.85
 logging.getLogger('transformers').setLevel(logging.ERROR)
 
 def nsfw_image(img_path: str, model_path: str):
-    img = Image.open(img_path)
-    predict = pipeline("image-classification", model=model_path)
-    result = predict(img)
-    return True if result[0]["score"] > SCORE else False
+    with Image.open(img_path) as img:
+        predict = pipeline("image-classification", model=model_path)
+        result = predict(img)
+        return True if result[0]["score"] > SCORE else False