Update app.py

app.py

@@ -24,7 +24,7 @@ os.environ["HF_HOME"] = cache_path
 
 torch.backends.cuda.matmul.allow_tf32 = True
 
-pipe = FluxPipeline.from_pretrained("John6666/hyper-flux1-dev-fp8-flux", torch_dtype=torch.bfloat16)
+pipe = FluxPipeline.from_pretrained("John6666/fastflux-unchained-t5f16-fp8-flux", torch_dtype=torch.bfloat16)
 pipe.to(device="cuda", dtype=torch.bfloat16)
 
 # Load LoRAs from JSON file
@@ -171,7 +171,7 @@ with gr.Blocks(theme=gr.themes.Soft(), css=css) as app:
             with gr.Column():
                 with gr.Row():
                     cfg_scale = gr.Slider(label="CFG Scale", minimum=1, maximum=20, step=0.5, value=3.5)
-                    steps = gr.Slider(label="Steps", minimum=1, maximum=50, step=1, value=9)
+                    steps = gr.Slider(label="Steps", minimum=1, maximum=50, step=1, value=6)
                 
                 with gr.Row():
                     width = gr.Slider(label="Width", minimum=256, maximum=1536, step=64, value=1024)