Update pipeline.py

pipeline.py

@@ -199,28 +199,30 @@ class AnimateDiffPipeline(DiffusionPipeline, TextualInversionLoaderMixin, IPAdap
     ):
         super().__init__()
         unet = UNetMotionModel.from_unet2d(unet, motion_adapter)
-        if hasattr(self.pipe, "controlnet"):print("has controlnet")
+
         if controlnet is None:
-            if hasattr(self, "controlnet"):delattr(self, "controlnet")
-            
-        # print all the attributes
-        print("Attributes:")
-        for attr in dir(self):
-            print(attr)
-        
-        print("contorlnet still exists:", hasattr(self, "controlnet"))
-        
-        self.register_modules(
-            vae=vae,
-            text_encoder=text_encoder,
-            tokenizer=tokenizer,
-            unet=unet,
-            motion_adapter=motion_adapter,
-            controlnet=controlnet,
-            scheduler=scheduler,
-            feature_extractor=feature_extractor,
-            image_encoder=image_encoder,
-        )
+            self.register_modules(
+                vae=vae,
+                text_encoder=text_encoder,
+                tokenizer=tokenizer,
+                unet=unet,
+                motion_adapter=motion_adapter,
+                scheduler=scheduler,
+                feature_extractor=feature_extractor,
+                image_encoder=image_encoder,
+            )
+        else:
+            self.register_modules(
+                vae=vae,
+                text_encoder=text_encoder,
+                tokenizer=tokenizer,
+                unet=unet,
+                motion_adapter=motion_adapter,
+                controlnet=controlnet,
+                scheduler=scheduler,
+                feature_extractor=feature_extractor,
+                image_encoder=image_encoder,
+            )
         self.vae_scale_factor = 2 ** (len(self.vae.config.block_out_channels) - 1)
         self.image_processor = VaeImageProcessor(vae_scale_factor=self.vae_scale_factor)
         self.control_image_processor = VaeImageProcessor(