Update app.py

app.py

@@ -15,7 +15,7 @@ pipe = DiffusionPipeline.from_pretrained(model_repo_id, torch_dtype=torch_dtype)
 pipe = pipe.to(device)
 
 MAX_SEED = np.iinfo(np.int32).max
-MAX_IMAGE_SIZE = 1024
+MAX_IMAGE_SIZE = 2048
 
 def truncate_text(text, max_tokens=77):
     """
@@ -28,14 +28,14 @@ def truncate_text(text, max_tokens=77):
     truncated_text = pipe.tokenizer.decode(tokens["input_ids"], skip_special_tokens=True)
     return truncated_text
 
-@spaces.GPU(duration=65)
+@spaces.GPU(duration=85)
 def infer(
     prompt,
     negative_prompt="",
     seed=42,
     randomize_seed=False,
-    width=1024,
-    height=1024,
+    width=2048,
+    height=2048,
     guidance_scale=4.5,
     num_inference_steps=40,
     progress=gr.Progress(track_tqdm=True),