Update app.py

app.py

@@ -102,6 +102,8 @@ def infer (custom_model, weight_name, prompt, inf_steps, guidance_scale, seed, l
         generator=generator,
         cross_attention_kwargs={"scale": lora_weight}
     ).images[0]
+
+    pipe.unfuse_lora()
     
     return image
 
@@ -180,6 +182,7 @@ with gr.Blocks(css=css) as demo:
                     label="Safetensors file", 
                     #value="pytorch_lora_weights.safetensors", 
                     info="specify which one if model has several .safetensors files",
+                    allow_custom_value=True,
                     visible = False
                 )
             with gr.Column():