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src/pipeline.py

@@ -49,10 +49,10 @@ def load_pipeline() -> Pipeline:
 
     pipeline.transformer.to(memory_format=torch.channels_last)
     pipeline.transformer = torch.compile(pipeline.transformer, mode="max-autotune", fullgraph=True)
-    # pipeline.vae.to(memory_format=torch.channels_last)
+    pipeline.vae.to(memory_format=torch.channels_last)
     # quantize_(pipeline.vae, int8_weight_only())
-    # pipeline.vae = torch.compile(pipeline.vae, fullgraph=True, mode="max-autotune")
-    # pipeline.to("cuda")
+    pipeline.vae = torch.compile(pipeline.vae, fullgraph=True, mode="max-autotune")
+    
     PROMPT = 'semiconformity, peregrination, quip, twineless, emotionless, tawa, depickle'
     with torch.inference_mode():  
         for _ in range(4):