Update gradio_seesr_turbo.py

gradio_seesr_turbo.py

@@ -55,7 +55,7 @@ scheduler = DDPMScheduler.from_pretrained(pretrained_model_path, subfolder="sche
 text_encoder = CLIPTextModel.from_pretrained(pretrained_model_path, subfolder="text_encoder")
 tokenizer = CLIPTokenizer.from_pretrained(pretrained_model_path, subfolder="tokenizer")
 vae = AutoencoderKL.from_pretrained(pretrained_model_path, subfolder="vae")
-feature_extractor = CLIPImageProcessor.from_pretrained(f"{pretrained_model_path}/feature_extractor")
+# feature_extractor = CLIPImageProcessor.from_pretrained(f"{pretrained_model_path}/feature_extractor")
 unet = UNet2DConditionModel.from_pretrained_orig(seesr_model_path, subfolder="unet")
 controlnet = ControlNetModel.from_pretrained(seesr_model_path, subfolder="controlnet")
 
@@ -73,7 +73,7 @@ else:
 
 # Get the validation pipeline
 validation_pipeline = StableDiffusionControlNetPipeline(
-    vae=vae, text_encoder=text_encoder, tokenizer=tokenizer, feature_extractor=feature_extractor,
+    vae=vae, text_encoder=text_encoder, tokenizer=tokenizer, feature_extractor=None,
     unet=unet, controlnet=controlnet, scheduler=scheduler, safety_checker=None, requires_safety_checker=False,
 )