Update app.py

app.py

@@ -19,8 +19,7 @@ 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.enable_lora()
 pipe.to(DEVICE)
 
@@ -44,6 +43,7 @@ def check_style(stylezation):
 
 def check_hyper_flux_lora(enable_hyper_flux):
     if enable_hyper_flux:
+        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)
         return 8, 8, 4
     else:
@@ -148,7 +148,7 @@ based on the implementations of [@raven38](https://github.com/raven38) & [@DarkM
                         minimum=0,
                         maximum=28,
                         step=1,
-                        value=4,
+                        value=6,
                     )
                     eta = gr.Slider(
                         label="eta",
@@ -181,7 +181,7 @@ based on the implementations of [@raven38](https://github.com/raven38) & [@DarkM
                             minimum=1,
                             maximum=50,
                             step=1,
-                            value=8,
+                            value=28,
                         )
                 eta_decay = gr.Checkbox(label="eta decay", value=False)
                 decay_power = gr.Slider(
@@ -206,7 +206,7 @@ based on the implementations of [@raven38](https://github.com/raven38) & [@DarkM
                         minimum=1,
                         maximum=50,
                         step=1,
-                        value=8,
+                        value=28,
                     )
             
             with gr.Row():