Update inpainting.py

inpainting.py

@@ -183,12 +183,4 @@ class StableDiffusionInpaintingPipeline(DiffusionPipeline):
 
         image = (image / 2 + 0.5).clamp(0, 1)
         image = image.cpu().permute(0, 2, 3, 1).numpy()
-
-        # run safety checker
-        safety_cheker_input = self.feature_extractor(self.numpy_to_pil(image), return_tensors="pt").to(self.device)
-        image, has_nsfw_concept = self.safety_checker(images=image, clip_input=safety_cheker_input.pixel_values)
-
-        if output_type == "pil":
-            image = self.numpy_to_pil(image)
-
-        return {"sample": image, "nsfw_content_detected": has_nsfw_concept}
+