Update app.py

app.py

@@ -20,9 +20,9 @@ pipe = FluxWithCFGPipeline.from_pretrained(
     "black-forest-labs/FLUX.1-schnell", torch_dtype=dtype
 )
 pipe.vae = AutoencoderTiny.from_pretrained("madebyollin/taef1", torch_dtype=dtype)
-pipe.load_lora_weights("ostris/OpenFLUX.1", weight_name="openflux1-v0.1.0-fast-lora.safetensors", adapter_name="fast")
-pipe.set_adapters("fast")
-pipe.fuse_lora(adapter_names=["fast"], lora_scale=1.0)
+# pipe.load_lora_weights("ostris/OpenFLUX.1", weight_name="openflux1-v0.1.0-fast-lora.safetensors", adapter_name="fast")
+# pipe.set_adapters("fast")
+# pipe.fuse_lora(adapter_names=["fast"], lora_scale=1.0)
 pipe.to("cuda")
 # pipe.transformer.to(memory_format=torch.channels_last)
 # pipe.transformer = torch.compile(