Update app.py

app.py

@@ -19,7 +19,7 @@ from diffusers_patches import pixart_sigma_init_patched_inputs, PixArtSigmaPipel
 DESCRIPTION = """ # Instant Image
         ### Super fast text to Image Generator.
         ### <span style='color: red;'>You may change the steps from 9 to 15, if you didn't get satisfied results.
-        ### First Image processing takes time (Because model is loading) then Lighting fast image generated.
+        ### First Image processing takes time then images generate faster.
         """
 if not torch.cuda.is_available():
     DESCRIPTION += "\n<p>Running on CPU 🥶 This demo does not work on CPU.</p>"
@@ -155,7 +155,7 @@ def randomize_seed_fn(seed: int, randomize_seed: bool) -> int:
 
 @torch.no_grad()
 @torch.inference_mode()
-@spaces.GPU(duration=60)
+@spaces.GPU(duration=30)
 def generate(
         prompt: str,
         negative_prompt: str = "",
@@ -163,8 +163,8 @@ def generate(
         use_negative_prompt: bool = False,
         num_imgs: int = 1,
         seed: int = 0,
-        width: int = 400,
-        height: int = 400,
+        width: int = 2560,
+        height: int = 2560,
         schedule: str = 'DPM-Solver',
         dpms_guidance_scale: float = 3.5,
         dpms_inference_steps: int = 9,
@@ -287,14 +287,14 @@ with gr.Blocks(css="style.css") as demo:
                     minimum=256,
                     maximum=MAX_IMAGE_SIZE,
                     step=32,
-                    value=400,
+                    value=2560,
                 )
                 height = gr.Slider(
                     label="Height",
                     minimum=256,
                     maximum=MAX_IMAGE_SIZE,
                     step=32,
-                    value=400,
+                    value=2560,
                 )
             with gr.Row():
                 dpms_guidance_scale = gr.Slider(