Update app.py

app.py

@@ -135,10 +135,7 @@ with gr.Blocks(css=css) as demo:
     init_image_state = gr.State()
     with gr.Column(elem_id="container"):
         gr.Markdown(
-            """# SDXL Turbo Image to Image/Text to Image
-            ## Unofficial Demo
-            SDXL Turbo model can generate high quality images in a single pass read more on [stability.ai post](https://stability.ai/news/stability-ai-sdxl-turbo).  
-            **Model**: https://huggingface.co/stabilityai/sdxl-turbo
+            """
             """,
             elem_id="intro",
         )
@@ -177,29 +174,7 @@ with gr.Blocks(css=css) as demo:
                         step=1,
                     )
 
-        with gr.Accordion("Run with diffusers"):
-            gr.Markdown(
-                """## Running SDXL Turbo with `diffusers`
-            ```bash
-            pip install diffusers==0.23.1
-            ```
-            ```py
-            from diffusers import DiffusionPipeline
-
-            pipe = DiffusionPipeline.from_pretrained(
-                "stabilityai/sdxl-turbo"
-            ).to("cuda")
-            results = pipe(
-                prompt="A cinematic shot of a baby racoon wearing an intricate italian priest robe",
-                num_inference_steps=1,
-                guidance_scale=0.0,
-            )
-            imga = results.images[0]
-            imga.save("image.png")
-            ```
-            """
-            )
-
+        
         inputs = [image_input, prompt, strength, steps, seed]
         generate_bt.click(fn=predict, inputs=inputs, outputs=image, show_progress=False)
         prompt.change(fn=predict, inputs=inputs, outputs=image, show_progress=False)