rescale inside inference

app.py

@@ -39,12 +39,6 @@ MAX_SEED = np.iinfo(np.int32).max
 MAX_IMAGE_SIZE = 1024
 
 
-def rescale_lora(user_lora_weight):
-
-    global pipe
-    pipe.set_adapters(["lora", "user"], adapter_weights=[1.0, user_lora_weight])
-
-
 def update_selection(
     selected_state: gr.SelectData,
     gr_sdxl_loras,
@@ -67,7 +61,7 @@ def infer(
     guidance_scale,
     user_lora_selector,
     user_lora_weight,
-    progress=gr.Progress(track_tqdm=True)
+    progress=gr.Progress(track_tqdm=True),
 ):
     flash_sdxl_id = "jasperai/flash-sdxl"
 
@@ -106,7 +100,7 @@ def infer(
         generator=generator,
     ).images[0]
 
-    return image 
+    return image
 
 
 css = """
@@ -271,19 +265,12 @@ with gr.Blocks(css=css) as demo:
             negative_prompt,
             guidance_scale,
             user_lora_selector,
-            user_lora_weight
+            user_lora_weight,
         ],
         outputs=[result],
         # show_progress="full",
     )
 
-    user_lora_weight.change(
-        fn=rescale_lora,
-        inputs=[user_lora_weight],
-        outputs=[],
-        show_progress="hidden",
-    )
-
     gallery.select(
         fn=update_selection,
         inputs=[gr_sdxl_loras],