Update app.py

app.py

@@ -19,8 +19,8 @@ DEVICE = "cuda" if torch.cuda.is_available() else "cpu"
 pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev",
                                          custom_pipeline="pipeline_flux_rf_inversion",
                                           torch_dtype=torch.bfloat16)
-# pipe.load_lora_weights(hf_hub_download("ByteDance/Hyper-SD", "Hyper-FLUX.1-dev-8steps-lora.safetensors"), lora_scale=0.125)
-# pipe.fuse_lora(lora_scale=0.125)
+pipe.load_lora_weights(hf_hub_download("ByteDance/Hyper-SD", "Hyper-FLUX.1-dev-8steps-lora.safetensors"), lora_scale=0.125)
+pipe.fuse_lora(lora_scale=0.125)
 pipe.to(DEVICE)
 
 examples = [[Image.open("cat.jpg"), "a tiger", 0, 0.38, 0.5, 0.9, 28, 28, 789385745, False]]