Update app_demo.py

app_demo.py

@@ -17,8 +17,8 @@ model_id = "Lykon/dreamshaper-xl-v2-turbo"
 #DESCRIPTION = '''# Fast Stable Diffusion CPU with Latent Consistency Model
 #Distilled from [Dreamshaper v7](https://huggingface.co/Lykon/dreamshaper-7) fine‑tune of SD v1-5.
 #'''
-if not torch.cuda.is_available():
-    DESCRIPTION += "\n<p>running on CPU.</p>"
+#if not torch.cuda.is_available():
+    #DESCRIPTION += "\n<p>running on CPU.</p>"
 MAX_SEED = np.iinfo(np.int32).max
 CACHE_EXAMPLES = torch.cuda.is_available() and os.getenv("CACHE_EXAMPLES") == "1"
 MAX_IMAGE_SIZE = int(os.getenv("MAX_IMAGE_SIZE", "768"))
@@ -197,11 +197,11 @@ with gr.Blocks() as demo:
             <p id="project-links" align="center">
                 <a href='https://huggingface.co/spaces/charliebaby2023/Fast_Stable_diffusion_CPU/edit/main/app_demo.py'>Edit this app_demo py file</a>
                 <p> this is currently running the Lykon/dreamshaper-xl-v2-turbo model</p>
-                
+                <p><fast stable diffusion, CPU</p>
             </p>
             """
         )
-    gr.Markdown(DESCRIPTION)    
+    #gr.Markdown(DESCRIPTION)    
     def update_models(hfuser):
         if hfuser:
             models = validate_and_list_models(hfuser)