crested nsfw

nsfw

@@ -0,0 +1,9 @@
+def check_safety(x_image):
+    # safety_checker_input = safety_feature_extractor(numpy_to_pil(x_image), return_tensors="pt")
+    # x_checked_image, has_nsfw_concept = safety_checker(images=x_image, clip_input=safety_checker_input.pixel_values)
+    # assert x_checked_image.shape[0] == len(has_nsfw_concept)
+    # for i in range(len(has_nsfw_concept)):
+    #     if has_nsfw_concept[i]:
+    #         x_checked_image[i] = load_replacement(x_checked_image[i])
+    # return x_checked_image, has_nsfw_concept
+    return x_image, False