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import numpy as np | |
import gradio as gr | |
import paddlehub as hub | |
model = hub.Module(name='ernie_vilg') | |
def inference(text_prompts, style): | |
results = model.generate_image( | |
text_prompts=text_prompts, style=style) | |
return results[:6] | |
title="ERNIE-ViLG" | |
description="ERNIE-ViLG model, which supports text-to-image task." | |
css = """ | |
.gradio-container { | |
font-family: 'IBM Plex Sans', sans-serif; | |
} | |
.gr-button { | |
color: white; | |
border-color: black; | |
background: black; | |
} | |
input[type='range'] { | |
accent-color: black; | |
} | |
.dark input[type='range'] { | |
accent-color: #dfdfdf; | |
} | |
.container { | |
max-width: 730px; | |
margin: auto; | |
padding-top: 1.5rem; | |
} | |
#gallery { | |
min-height: 22rem; | |
margin-bottom: 15px; | |
margin-left: auto; | |
margin-right: auto; | |
border-bottom-right-radius: .5rem !important; | |
border-bottom-left-radius: .5rem !important; | |
} | |
#gallery>div>.h-full { | |
min-height: 20rem; | |
} | |
.details:hover { | |
text-decoration: underline; | |
} | |
.gr-button { | |
white-space: nowrap; | |
} | |
.gr-button:focus { | |
border-color: rgb(147 197 253 / var(--tw-border-opacity)); | |
outline: none; | |
box-shadow: var(--tw-ring-offset-shadow), var(--tw-ring-shadow), var(--tw-shadow, 0 0 #0000); | |
--tw-border-opacity: 1; | |
--tw-ring-offset-shadow: var(--tw-ring-inset) 0 0 0 var(--tw-ring-offset-width) var(--tw-ring-offset-color); | |
--tw-ring-shadow: var(--tw-ring-inset) 0 0 0 calc(3px var(--tw-ring-offset-width)) var(--tw-ring-color); | |
--tw-ring-color: rgb(191 219 254 / var(--tw-ring-opacity)); | |
--tw-ring-opacity: .5; | |
} | |
.footer { | |
margin-bottom: 45px; | |
margin-top: 35px; | |
text-align: center; | |
border-bottom: 1px solid #e5e5e5; | |
} | |
.footer>p { | |
font-size: .8rem; | |
display: inline-block; | |
padding: 0 10px; | |
transform: translateY(10px); | |
background: white; | |
} | |
.dark .footer { | |
border-color: #303030; | |
} | |
.dark .footer>p { | |
background: #0b0f19; | |
} | |
.prompt h4{ | |
margin: 1.25em 0 .25em 0; | |
font-weight: bold; | |
font-size: 115%; | |
} | |
""" | |
block = gr.Blocks(css=css) | |
examples = [ | |
[ | |
'戴着眼镜的猫', | |
'油画' | |
], | |
[ | |
'日落时的城市天际线,史前遗迹风格', | |
'油画' | |
], | |
[ | |
'一只猫坐在椅子上,戴着一副墨镜, low poly 风格', | |
'卡通' | |
], | |
] | |
with block: | |
gr.HTML( | |
""" | |
<div style="text-align: center; max-width: 650px; margin: 0 auto;"> | |
<div | |
style=" | |
display: inline-flex; | |
align-items: center; | |
gap: 0.8rem; | |
font-size: 1.75rem; | |
margin-bottom: 10px; | |
justify-content: center; | |
" | |
> | |
<img src="https://user-images.githubusercontent.com/22424850/187387422-f6c9ccab-7fda-416e-a24d-7d6084c46f67.jpg" alt="Paddlehub" width="40%"> | |
</div> | |
<div | |
style=" | |
display: inline-flex; | |
align-items: center; | |
gap: 0.8rem; | |
font-size: 1.75rem; | |
margin-bottom: 10px; | |
justify-content: center; | |
"> | |
<h1 style="font-weight: 900; margin-bottom: 7px;"> | |
ERNIE-ViLG Demo | |
</h1> | |
</div> | |
<p style="margin-bottom: 10px; font-size: 94%"> | |
ERNIE-ViLG is a state-of-the-art text-to-image model that generates | |
images from Chinese text. | |
</p> | |
</div> | |
""" | |
) | |
with gr.Group(): | |
with gr.Box(): | |
with gr.Row().style(mobile_collapse=False, equal_height=True): | |
text = gr.Textbox( | |
label="Prompt (Chinese)", | |
show_label=False, | |
max_lines=1, | |
placeholder="Enter your Chinese prompt", | |
).style( | |
border=(True, False, True, True), | |
rounded=(True, False, False, True), | |
container=False, | |
) | |
btn = gr.Button("Generate image").style( | |
margin=False, | |
rounded=(False, True, True, False), | |
) | |
styles = gr.Dropdown(label="style", choices=['水彩','油画', '粉笔画', '卡通', '蜡笔画', '儿童画'], value='油画') | |
gallery = gr.Gallery( | |
label="Generated images", show_label=False, elem_id="gallery" | |
).style(grid=[2, 3], height="auto") | |
ex = gr.Examples(examples=examples, fn=inference, inputs=[text, styles], outputs=gallery, cache_examples=True) | |
ex.dataset.headers = [""] | |
text.submit(inference, inputs=[text, styles], outputs=gallery) | |
btn.click(inference, inputs=[text, styles], outputs=gallery) | |
gr.HTML( | |
""" | |
<div class="prompt"> | |
<p><h4>Prompt公式</h4> | |
<span> Prompt = [形容词] [主语] ,[细节设定], [修饰语或者艺术家]。 </span> | |
关于各部分的构造方式和效果,可以参考<a href="https://github.com/OleNet/YouPromptMe/blob/gh-pages/you-prompt-me/README.md" style="text-decoration: underline;" target="_blank">YouPromptMe指南</a>。 | |
</p> | |
</div> | |
<div class="footer"> | |
<p>Model by <a href="https://wenxin.baidu.com" style="text-decoration: underline;" target="_blank">文心大模型</a> and <a href="https://github.com/PaddlePaddle/PaddleHub" style="text-decoration: underline;" target="_blank">PaddleHub</a> - Gradio Demo by 🤗 Hugging Face | |
</p> | |
</div> | |
""" | |
) | |
block.queue(max_size=20).launch() |