Update app.py

app.py

@@ -25,7 +25,7 @@ MAX_IMAGE_SIZE = 2048
 # Ensure model and scheduler are initialized in GPU-enabled function
 if torch.cuda.is_available():
     transformer = FluxTransformer2DModel.from_single_file(
-        "https://huggingface.co/ekt1701/Test_case/blob/main/midjourneyReplica_flux1Dev.safetensors",
+        "https://huggingface.co/ekt1701/Test_case/blob/main/artsyVibe_v2FP8.safetensors",
         torch_dtype=torch.bfloat16
     )
     pipe = FluxPipeline.from_pretrained(
@@ -67,7 +67,7 @@ css="""
 with gr.Blocks(css=css) as demo:
     
     with gr.Column(elem_id="col-container"):
-        gr.HTML("<h1><center>Flux Playground</center></h1><p><center>MidJourney Replica Model.</center></p>")
+        gr.HTML("<h1><center>Flux Playground</center></h1><p><center>Artsy Vibe v2 Model.</center></p>")
         
         with gr.Row():
             
@@ -110,7 +110,7 @@ with gr.Blocks(css=css) as demo:
                     minimum=1,
                     maximum=50,
                     step=1,
-                    value=20,
+                    value=24,
                 )
 
                 guidance_scale = gr.Slider(