Update pipeline.py

pipeline.py

@@ -81,6 +81,7 @@ class FluxWithCFGPipeline(StableDiffusion3Pipeline):
         text_encoder_3: None,
     ):
         super().__init__()
+        
         self.register_modules(
             vae=vae,
             text_encoder=text_encoder,
@@ -100,11 +101,6 @@ class FluxWithCFGPipeline(StableDiffusion3Pipeline):
             self.tokenizer.model_max_length if hasattr(self, "tokenizer") and self.tokenizer is not None else 77
         )
         self.default_sample_size = 64
-        
-_optional_components = [transformer, scheduler, vae, text_encoder, text_encoder_2, text_encoder_3, tokenizer, tokenizer_2, tokenizer_3]
-model_cpu_offload_seq = "text_encoder->text_encoder_2->text_encoder_3->transformer->vae"
-_callback_tensor_inputs = ["latents", "prompt_embeds", "negative_prompt_embeds", "negative_pooled_prompt_embeds"]
-
     def __call__(
         self,
         prompt: Union[str, List[str]] = None,