v1

README.md

@@ -5,8 +5,9 @@ colorFrom: purple
 colorTo: blue
 sdk: gradio
 sdk_version: 3.41.0
+python_version: 3.11.4
 app_file: app.py
-pinned: false
+pinned: true
 license: apache-2.0
 ---
 

app.py

@@ -148,9 +148,9 @@ if __name__ == "__main__":
                     UDiffText: A Unified Framework for High-quality Text Synthesis in Arbitrary Images via Character-aware Diffusion Models
                 </h1>        
                 <h3 style="font-weight: 450; font-size: 1rem; margin: 0rem"> 
-                    [<a href="" style="color:blue;">arXiv</a>] 
-                    [<a href="" style="color:blue;">Code</a>]
-                    [<a href="" style="color:blue;">ProjectPage</a>]
+                    <a href='https://arxiv.org/pdf/******'><img src='https://img.shields.io/badge/Arxiv-******-DF826C'></a> 
+                    <a href='https://github.com/ZYM-PKU/UDiffText'><img src='https://img.shields.io/badge/Code-UDiffText-D0F288'></a> 
+                    <a href='https://udifftext.github.io'><img src='https://img.shields.io/badge/Project-UDiffText-8ADAB2'></a> 
                 </h3> 
                 <h2 style="text-align: left; font-weight: 450; font-size: 1rem; margin-top: 0.5rem; margin-bottom: 0.5rem">
                     Our proposed UDiffText is capable of synthesizing accurate and harmonious text in either synthetic or real-word images, thus can be applied to tasks like scene text editing (a), arbitrary text generation (b) and accurate T2I generation (c)

requirements.txt

@@ -24,4 +24,5 @@ torch==2.1.0
 torchvision==0.16.0
 tqdm==4.65.0
 transformers==4.30.2
+xformers==0.0.22.post7