Update model.py

model.py

@@ -10,10 +10,9 @@ from diffusers import (
     ControlNetModel,
     DiffusionPipeline,
     StableDiffusionControlNetPipeline,
-    UniPCMultistepScheduler,
-    StableDiffusionSafetyChecker
+    UniPCMultistepScheduler
 )
-
+from diffusers.pipelines.stable_diffusion import StableDiffusionSafetyChecker
 from cv_utils import resize_image
 from preprocessor import Preprocessor
 from settings import MAX_IMAGE_RESOLUTION, MAX_NUM_IMAGES
@@ -59,9 +58,8 @@ class Model:
         model_id = CONTROLNET_MODEL_IDS[task_name]
         controlnet = ControlNetModel.from_pretrained(model_id, torch_dtype=torch.float16)
         pipe = StableDiffusionControlNetPipeline.from_pretrained(
-            base_model_id, safety_checker=None, controlnet=controlnet, torch_dtype=torch.float16
+            base_model_id, safety_checker=StableDiffusionSafetyChecker.from_pretrained("CompVis/stable-diffusion-safety-checker"), controlnet=controlnet, torch_dtype=torch.float16
         )
-        pipe.safety_checker = StableDiffusionSafetyChecker.from_pretrained("CompVis/stable-diffusion-safety-checker")
         pipe.scheduler = UniPCMultistepScheduler.from_config(pipe.scheduler.config)
         if self.device.type == "cuda":
             pipe.enable_xformers_memory_efficient_attention()