Adjust maximum execution time

app.py

@@ -46,7 +46,7 @@ class FluxGenerator:
 flux_generator = FluxGenerator()
 
 
-@spaces.GPU(duration=80)
+@spaces.GPU(duration=120)
 @torch.inference_mode()
 def generate_image(
     prompt: str,
@@ -306,6 +306,7 @@ _HEADER_ = '''
 
 Provide a portrait image and an edit prompt. You can try the examples below or upload your own image.
 Adjust the id weight to control the faithfulness of the generated image to the input image.
+Reduce the id weight and increase guidance/true CFG scale to increase prompt adherence.
 '''  # noqa E501
 _CITE_ = r"""
 """  # noqa E501
@@ -325,7 +326,7 @@ def create_demo(args, model_name: str, device: str = "cuda" if torch.cuda.is_ava
 
                 width = gr.Slider(256, 1536, 1024, step=16, label="Width", visible=args.dev)
                 height = gr.Slider(256, 1536, 1024, step=16, label="Height", visible=args.dev)
-                num_steps = gr.Slider(1, 20, 16, step=1, label="Number of steps")
+                num_steps = gr.Slider(1, 24, 16, step=1, label="Number of steps")
                 guidance = gr.Slider(1.0, 10.0, 3.5, step=0.1, label="Guidance")
 
                 with gr.Accordion("Advanced Options (True CFG, true_cfg_scale=1 means use fake CFG, >1 means use true CFG", open=False):    # noqa E501