Update app.py

app.py

@@ -58,7 +58,6 @@ def update_selection(selected_state: gr.SelectData):
     '''
     if is_compatible:
         use_with_diffusers += f'''
-        ```python
         from diffusers import StableDiffusionXLPipeline
         import torch
     
@@ -68,10 +67,9 @@ def update_selection(selected_state: gr.SelectData):
         pipe.load_lora_weights("{lora_repo}", weight_name="{weight_name}")
     
         prompt = "{instance_prompt}..."
-        lora_weight = 0.5
-        image = pipe(prompt, num_inference_steps=30, guidance_scale=7.5, cross_attention_kwargs={{"scale": lora_weight}}).images[0]
+        lora_scale= 0.9
+        image = pipe(prompt, num_inference_steps=30, guidance_scale=7.5, cross_attention_kwargs={{"scale": lora_scale}}).images[0]
         image.save("image.png")
-        ```
         '''
     else:
         use_with_diffusers += "This LoRA is not compatible with diffusers natively yet. But you can still use it on diffusers with `bmaltais/kohya_ss` LoRA class, check out this [Google Colab](https://colab.research.google.com/drive/14aEJsKdEQ9_kyfsiV6JDok799kxPul0j )"