Update src/pipeline.py

src/pipeline.py

@@ -11,7 +11,7 @@ from torch import Generator
 from torchao.quantization import quantize_, int8_weight_only
 from transformers import T5EncoderModel, CLIPTextModel, logging 
 import torch._dynamo
-import torch_tensorrt
+
 torch._dynamo.config.suppress_errors = True
 
 Pipeline: TypeAlias = FluxPipeline
@@ -54,8 +54,8 @@ def load_pipeline() -> Pipeline:
         torch_dtype=torch.bfloat16,
     ).to("cuda")
 
-    pipeline.transformer.to(memory_format=torch.channels_last) 
-    pipeline.transformer = torch.compile(pipeline.transformer, mode="max-autotune")
+    pipeline.to(memory_format=torch.channels_last) 
+    pipeline.transformer = torch.compile(pipeline.transformer)
     quantize_(pipeline.vae, int8_weight_only())
     # pipeline.vae = torch.compile(pipeline.vae, mode="max-autotune")
     # pipeline.set_progress_bar_config(disable=True)