Update app.py

app.py

@@ -56,7 +56,7 @@ pipe = FluxControlNetPipeline.from_pretrained(
 # pipe.set_adapters(["hyper-sd"], adapter_weights=[0.125])
 pipe.to(device)
 MAX_SEED = 1000000
-MAX_PIXEL_BUDGET = 2048 * 2048
+MAX_PIXEL_BUDGET = 1536 * 1536
 torch.cuda.empty_cache()
 
 
@@ -150,10 +150,10 @@ with gr.Blocks(theme="Nymbo/Nymbo_Theme", css=css) as demo:
         with gr.Column(scale=1):
             num_inference_steps = gr.Slider(
                 label="Number of Inference Steps",
-                minimum=8,
+                minimum=6,
                 maximum=50,
                 step=1,
-                value=28,
+                value=8,
             )
             upscale_factor = gr.Slider(
                 label="Upscale Factor",