Update app.py

app.py

@@ -22,7 +22,7 @@ pipe = FluxWithCFGPipeline.from_pretrained(
 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")
-pipeline.fuse_lora(adapter_names=["fast"], lora_scale=1.0)
+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(