Update pipeline.py

pipeline.py

@@ -100,7 +100,7 @@ class FluxWithCFGPipeline(DiffusionPipeline, FluxLoraLoaderMixin, FromSingleFile
         )
         self.image_processor = VaeImageProcessor(vae_scale_factor=self.vae_scale_factor)
         self.tokenizer_max_length = (
-            self.tokenizer.model_max_length if hasattr(self, "tokenizer") and self.tokenizer is not None else 77
+            self.tokenizer.model_max_length if hasattr(self, "tokenizer") and self.tokenizer is not None else 256
         )
         self.default_sample_size = 64
 
@@ -166,8 +166,8 @@ class FluxWithCFGPipeline(DiffusionPipeline, FluxLoraLoaderMixin, FromSingleFile
             padding="max_length",
             max_length=self.tokenizer_max_length,
             truncation=True,
-            return_overflowing_tokens=False,
-            return_length=False,
+            return_overflowing_tokens=True,
+            return_length=True,
             return_tensors="pt",
         )