Update app.py

app.py

@@ -26,7 +26,7 @@ MAX_IMAGE_SIZE = 2048
 
 pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-schnell", torch_dtype=torch.bfloat16, token=hf_token).to(device)
 
-@spaces.GPU(duration=300)
+@spaces.GPU()
 def infer(prompt, seed=0, randomize_seed=True, width=640, height=1024, guidance_scale=0.0, num_inference_steps=5, lora_model="AlekseyCalvin/RCA_Agitprop_Manufactory", progress=gr.Progress(track_tqdm=True)):
     global pipe
     
@@ -77,15 +77,15 @@ css="""
 with gr.Blocks(css=css) as demo:
     
     with gr.Column(elem_id="col-container"):
-        gr.Markdown(f"""# RCA Agitprop Manufactory""")
+        gr.Markdown(f"""# RCA Agitprop Manufactory: pre-phrase prompts with 'RCA style' to activate custom model """)
         
         with gr.Row():
             
             prompt = gr.Text(
                 label="Prompt",
                 show_label=False,
-                max_lines=1,
-                placeholder="Enter your prompt",
+                max_lines=3,
+                placeholder="RCA style communist poster of ",
                 container=False,
             )
             
@@ -93,7 +93,7 @@ with gr.Blocks(css=css) as demo:
         
         result = gr.Image(label="Result", show_label=False)
         
-        with gr.Accordion("Advanced Settings", open=False):
+        with gr.Accordion("Advanced Settings", open=True):
             
             seed = gr.Slider(
                 label="Seed",
@@ -112,7 +112,7 @@ with gr.Blocks(css=css) as demo:
                     minimum=256,
                     maximum=MAX_IMAGE_SIZE,
                     step=32,
-                    value=1024,
+                    value=1360,
                 )
                 
                 height = gr.Slider(
@@ -120,7 +120,7 @@ with gr.Blocks(css=css) as demo:
                     minimum=256,
                     maximum=MAX_IMAGE_SIZE,
                     step=32,
-                    value=1024,
+                    value=1360,
                 )
             
             with gr.Row():