update

app.py

@@ -21,7 +21,7 @@ title = r"""
 
 description = r"""
 <b>Official 🤗 Gradio demo</b> for <a href='https://github.com/QY-H00/attention-interpolation-diffusion/tree/public' target='_blank'><b>PAID: (Prompt-guided) Attention Interpolation of Text-to-Image Diffusion</b></a>.<br>
-We strongly recommend to deploy this demo locally with GPU resources for better experience.
+We strongly recommend to deploy this demo locally with GPU resources for better experience, especially for XL-series since the GPU resources is limited in this space. <br>
 How to use:<br>
 1. Input prompt 1, prompt 2 and negative prompt.
 2. For <b> Compositional Generation </b> Input the guidance prompt and choose the one you are satisfied!
@@ -245,7 +245,7 @@ def dynamic_gallery_fn(interpolation_size: int):
         label="Result", show_label=False, rows=1, columns=interpolation_size
     )
 
-@spaces.GPU(duration=180)
+@spaces.GPU(duration=60)
 @torch.no_grad()
 def generate(
     prompt1,