Update app.py

app.py

@@ -1,5 +1,4 @@
 from diffusers import StableDiffusionXLPipeline, StableDiffusionXLImg2ImgPipeline, EulerAncestralDiscreteScheduler
-from transformers import CLIPFeatureExtractor
 import gradio as gr
 import torch
 from PIL import Image
@@ -14,7 +13,6 @@ model_id = 'Linaqruf/animagine-xl'
 auth_token=os.environ["ACCESS_TOKEN"]
 
 scheduler = EulerAncestralDiscreteScheduler.from_pretrained(model_id, subfolder="scheduler", use_auth_token=auth_token)
-feature_extractor = CLIPFeatureExtractor.from_pretrained(model_id, use_auth_token=auth_token)
 
 pipe_merged = StableDiffusionXLPipeline.from_pretrained(
   model_id,
@@ -25,9 +23,7 @@ pipe_i2i_merged = StableDiffusionXLImg2ImgPipeline.from_pretrained(
   model_id,
   torch_dtype=torch.float16 if torch.cuda.is_available() else torch.float32,
   scheduler=scheduler,
-  requires_safety_checker=False,
-  safety_checker=None,
-  feature_extractor=feature_extractor, use_auth_token=auth_token
+  use_auth_token=auth_token
 )
 
 pipe=pipe_merged.to("cuda")