Idk

inpainting.py

@@ -184,9 +184,9 @@ 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)