Update app.py

app.py

@@ -50,26 +50,25 @@ def update_selection(selected_state: gr.SelectData):
     weight_name = sdxl_loras[selected_state.index]["weights"]
     updated_text = f"### Selected: [{lora_repo}](https://huggingface.co/{lora_repo}) ✨"
     use_with_diffusers = f'''
-                    ## Using [`{lora_repo}`](https://huggingface.co/{lora_repo})
+    ## Using [`{lora_repo}`](https://huggingface.co/{lora_repo})
                     
-                    ## Use it with diffusers: 
+    ## Use it with diffusers: 
 
-                    ```python
-                    from diffusers import StableDiffusionXLPipeline
-                    import torch
+    ```python
+    from diffusers import StableDiffusionXLPipeline
+    import torch
 
-                    model_path = "stabilityai/stable-diffusion-xl-base-1.0"
-                    pipe = StableDiffusionPipeline.from_pretrained(model_path, torch_dtype=torch.float16)
-                    pipe.to("cuda")
-                    pipe.load_lora_weights("{lora_repo}", weight_name={weight_name})
-                        
+    model_path = "stabilityai/stable-diffusion-xl-base-1.0"
+    pipe = StableDiffusionPipeline.from_pretrained(model_path, torch_dtype=torch.float16)
+    pipe.to("cuda")
+    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]
-                    image.save("image.png")
-                    ```
-                    '''
+    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]
+    image.save("image.png")
+    ```
+    '''
     use_with_uis = f'''
     ## Use it with Comfy UI, Invoke AI, SD.Next, AUTO1111: