update app.py

app.py

@@ -7,7 +7,7 @@ import uuid
 import gradio as gr
 import numpy as np
 import uuid
-from diffusers import PixArtAlphaPipeline, LatentConsistencyModelPipeline, LCMScheduler
+from diffusers import PixArtAlphaPipeline, LCMScheduler
 import torch
 from typing import Tuple
 from datetime import datetime
@@ -19,6 +19,7 @@ DESCRIPTION = """![Logo](https://raw.githubusercontent.com/PixArt-alpha/PixArt-a
         #### [LCMs](https://github.com/luosiallen/latent-consistency-model) is a diffusion distillation method which predict PF-ODE's solution directly in latent space, achieving super fast inference with few steps.
         #### English prompts ONLY; 提示词仅限英文
         ### <span style='color: red;'> Don't want to queue or Don't get satisfied results? Try original demo: [PixArt-alpha](https://huggingface.co/spaces/PixArt-alpha/PixArt-alpha) [OpenXLab](https://openxlab.org.cn/apps/detail/PixArt-alpha/PixArt-alpha) or [Google Colab Demo](https://colab.research.google.com/drive/1jZ5UZXk7tcpTfVwnX33dDuefNMcnW9ME?usp=sharing).
+        ### Feel free to change LCM inference steps in range [4, 10] according to your needs.
         """
 if not torch.cuda.is_available():
     DESCRIPTION += "\n<p>Running on CPU 🥶 This demo does not work on CPU.</p>"
@@ -250,7 +251,7 @@ with gr.Blocks(css="style.css") as demo:
                 minimum=1,
                 maximum=30,
                 step=1,
-                value=4,
+                value=6,
             )
     gr.Examples(
         examples=examples,