add lora_scale param

app.py

@@ -107,6 +107,14 @@ with gr.Blocks() as demo:
                     value=7,
                 )
 
+                loca_scale = gr.Slider(
+                    label="loca_scale",
+                    minimum=0,
+                    maximum=1,
+                    step=0.01,
+                    value=0.95,
+                    visible=False)
+
                 num_inference_steps = gr.Slider(
                     label="num_inference_steps",
                     minimum=0,
@@ -157,7 +165,8 @@ with gr.Blocks() as demo:
 
                     use_advanced_ip,
                     ip_adapter_scale,
-                    image_upload_ip
+                    image_upload_ip, 
+                    loca_scale
                 ],
                 outputs=[result, seed],
             )

methods.py

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