remove lora_scale param

app.py

@@ -165,8 +165,7 @@ with gr.Blocks() as demo:
 
                     use_advanced_ip,
                     ip_adapter_scale,
-                    image_upload_ip, 
-                    lora_scale
+                    image_upload_ip
                 ],
                 outputs=[result, seed],
             )

methods.py

@@ -131,8 +131,7 @@ def infer(
     use_advanced_ip=False,
     ip_adapter_scale=None,
     image_upload_ip=None,
-    lora_scale=0.95,
-
+    
     model_lora_id=model_lora_default,
     progress=gr.Progress(track_tqdm=True),
     dtype=torch.float16,
@@ -154,7 +153,6 @@ def infer(
         
         image = pipe(prompt,
                 num_inference_steps=num_inference_steps,
-                lora_scale=lora_scale,
                 guidance_scale=guidance_scale,
                 negative_prompt=negative_prompt,
                 width=width,
@@ -175,7 +173,6 @@ def infer(
         image = pipe(prompt,
                 edges,
                 num_inference_steps = num_inference_steps,
-                lora_scale=lora_scale,
                 controlnet_conditioning_scale=control_strength,
                 negative_prompt=negative_prompt,
                 generator=generator).images[0]
@@ -191,7 +188,6 @@ def infer(
         image = pipe(
             prompt,
             ip_adapter_image=image_upload_ip,
-            lora_scale=lora_scale,
             num_inference_steps=num_inference_steps,
             guidance_scale=guidance_scale,
             generator=generator).images[0]
@@ -213,7 +209,6 @@ def infer(
         image = pipe(prompt,
             edges,
             ip_adapter_image=image_upload_ip,
-            lora_scale=lora_scale,
             num_inference_steps=num_inference_steps,
             guidance_scale=guidance_scale,
             controlnet_conditioning_scale=control_strength,