Upload handler.py

handler.py

@@ -5,7 +5,7 @@ from diffusers import FluxPipeline, FluxTransformer2DModel, AutoencoderKL, Torch
 from PIL import Image
 import torch
 
-IS_COMPILE = True
+IS_COMPILE = False
 
 if IS_COMPILE:
     import torch._dynamo
@@ -17,9 +17,9 @@ def compile_pipeline(pipe) -> Any:
     pipe.transformer.fuse_qkv_projections()
     pipe.transformer.to(memory_format=torch.channels_last)
     pipe.transformer = torch.compile(pipe.transformer, mode="reduce-overhead", fullgraph=False, dynamic=False, backend="inductor")
-    #pipe.vae.fuse_qkv_projections()
-    #pipe.vae.to(memory_format=torch.channels_last)
-    #pipe.vae = torch.compile(pipe.vae, mode="reduce-overhead", fullgraph=False, dynamic=False, backend="inductor")
+    pipe.vae.fuse_qkv_projections()
+    pipe.vae.to(memory_format=torch.channels_last)
+    pipe.vae = torch.compile(pipe.vae, mode="reduce-overhead", fullgraph=False, dynamic=False, backend="inductor")
     return pipe
 
 class EndpointHandler: