Dinh noc

src/pipeline.py

@@ -47,9 +47,10 @@ 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", fullgraph=False)
+    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)
         
     PROMPT = 'semiconformity, peregrination, quip, twineless, emotionless, tawa, depickle'
     with torch.inference_mode():