Update app.py

app.py

@@ -18,54 +18,10 @@ default_steps = 30
 
 
 GUIDANCE = """
-
 ### [💥 New] 👋👋👋 We release the <a href="https://github.com/lzyhha/diffusers/tree/main/src/diffusers/pipelines/visualcloze" target="_blank"><span style="color:rgb(253, 60, 94);"><em><strong>diffusers</strong></em></span></a> implementation that makes it easier to use the model through pipelines. See <a href="https://huggingface.co/VisualCloze/VisualClozePipeline-384" target="_blank">Model Card</a> for details.
-
-## 📋 Quick Start Guide:
-1. Adjust **Number of In-context Examples**, 0 disables in-context learning.
-2. Set **Task Columns**, the number of images involved in a task.
-3. Upload Images. For in-context examples, upload all images. For the current query, upload images exclude the target.
-4. Click **Generate** to create the images.
-5. Parameters can be fine-tuned under **Advanced Options**.
-
-## 🔥 Task Examples:
-Click the task button in the right bottom to acquire **examples** of various tasks. 
-Each click on a task may result in different examples. 
-**Make sure all images and prompts are loaded before clicking the generate button.**
-
-
-## 💻 Runtime on the Zero GPU: 
-The runtime on the Zero GPU runtime depends on the size of the image grid. 
-When generating an image with the resoluation of 1024, 
-the runtime is approximately **[45s for a 2x2 grid], [55s for a 2x3 grid], [70s for a 3x3 grid], [90s for a 3x4 grid]**. 
-**Deploying locally with an 80G A100 can reduce the runtime by more than half.** 
-Disabling SDEdit upsampling by setting the upsampling noise to 1 or reducing the upsampling steps 
-can also save computation time, but it may lead to a decrease in generation quality. 
-
-### Note: For better quality, you can deploy the demo locally using the [model](https://huggingface.co/VisualCloze/VisualCloze/blob/main/visualcloze-512-lora.pth), which supports a higher resolution than this online demo, by following the instructions in the [GitHub repository](https://github.com/lzyhha/VisualCloze/tree/main?tab=readme-ov-file#2-web-demo-gradio).
-"""
-
-CITATION = r"""
-If you find VisualCloze is helpful, please consider to star ⭐ the <a href='https://github.com/lzyhha/VisualCloze' target='_blank'>Github Repo</a>. Thanks! 
----
-📝 **Citation**
-<br>
-If our work is useful for your research, please consider citing:
-```bibtex
-@article{li2025visualcloze,
-  title={VisualCloze: A Universal Image Generation Framework via Visual In-Context Learning},
-  author={Li, Zhong-Yu and Du, ruoyi and Yan, Juncheng and Zhuo, Le and Li, Zhen and Gao, Peng and Ma, Zhanyu and Cheng, Ming-Ming},
-  journal={arXiv preprint arXiv:2504.07960},
-  year={2025}
-}
-```
 📋 **License**
 <br>
 This project is licensed under apache-2.0.
-
-📧 **Contact**
-<br>
-Need help or have questions? Contact us at: lizhongyu [AT] mail.nankai.edu.cn.
 """
 
 NOTE = r"""