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module.py
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import argparse
import base64
import os
import time
from io import BytesIO
from typing import Optional
import gradio as gr
import numpy as np
import requests
from PIL import Image
from tqdm.auto import tqdm
from paddlehub.module.module import moduleinfo
from paddlehub.module.module import runnable
from paddlehub.module.module import serving
@moduleinfo(name="ernie_vilg",
version="1.3.0",
type="image/text_to_image",
summary="",
author="baidu-nlp",
author_email="[email protected]")
class ErnieVilG:
def __init__(self, ak=None, sk=None):
"""
:param ak: ak for applying token to request wenxin api.
:param sk: sk for applying token to request wenxin api.
"""
self.ak = ak
self.sk = sk
self.token_host = 'https://wenxin.baidu.com/younger/portal/api/oauth/token'
self.token = self._apply_token(self.ak, self.sk)
def _apply_token(self, ak, sk):
ak = ak if ak else os.getenv('WENXIN_AK')
sk = sk if sk else os.getenv('WENXIN_SK')
assert ak and sk, RuntimeError(
'Please go to the wenxin official website to apply for AK and SK and set the parameters “ak” and “sk” correctly, or set the environment variables “WENXIN_AK” and “WENXIN_SK”.'
)
response = requests.get(self.token_host,
params={
'grant_type': 'client_credentials',
'client_id': ak,
'client_secret': sk
})
if response:
res = response.json()
if res['code'] != 0:
print('Request access token error.')
raise RuntimeError("Request access token error.")
else:
print('Request access token error.')
raise RuntimeError("Request access token error.")
return res['data']
def generate_image(self,
text_prompts,
style: Optional[str] = "探索无限",
topk: Optional[int] = 6,
visualization: Optional[bool] = True,
output_dir: Optional[str] = 'ernievilg_output'):
"""
Create image by text prompts using ErnieVilG model.
:param text_prompts: Phrase, sentence, or string of words and phrases describing what the image should look like.
:param style: Image stype, currently supported 古风、油画、水彩、卡通、二次元、浮世绘、蒸汽波艺术、
low poly、像素风格、概念艺术、未来主义、赛博朋克、写实风格、洛丽塔风格、巴洛克风格、超现实主义、探索无限。
:param topk: Top k images to save.
:param visualization: Whether to save images or not.
:output_dir: Output directory
"""
if not os.path.exists(output_dir):
os.makedirs(output_dir, exist_ok=True)
token = self.token
create_url = 'https://wenxin.baidu.com/younger/portal/api/rest/1.0/ernievilg/v1/txt2img?from=paddlehub'
get_url = 'https://wenxin.baidu.com/younger/portal/api/rest/1.0/ernievilg/v1/getImg?from=paddlehub'
if isinstance(text_prompts, str):
text_prompts = [text_prompts]
taskids = []
for text_prompt in text_prompts:
res = requests.post(create_url,
headers={'Content-Type': 'application/x-www-form-urlencoded'},
data={
'access_token': token,
"text": text_prompt,
"style": style
})
res = res.json()
if res['code'] == 4001:
print('请求参数错误')
raise RuntimeError("请求参数错误")
elif res['code'] == 4002:
print('请求参数格式错误，请检查必传参数是否齐全，参数类型等')
raise RuntimeError("请求参数格式错误，请检查必传参数是否齐全，参数类型等")
elif res['code'] == 4003:
print('请求参数中，图片风格不在可选范围内')
raise RuntimeError("请求参数中，图片风格不在可选范围内")
elif res['code'] == 4004:
print('API服务内部错误，可能引起原因有请求超时、模型推理错误等')
raise RuntimeError("API服务内部错误，可能引起原因有请求超时、模型推理错误等")
elif res['code'] == 100 or res['code'] == 110 or res['code'] == 111:
self.token = self._apply_token(self.ak, self.sk)
res = requests.post(create_url,
headers={'Content-Type': 'application/x-www-form-urlencoded'},
data={
'access_token': self.token,
"text": text_prompt,
"style": style
})
res = res.json()
if res['code'] != 0:
print("Token失效重新请求后依然发生错误，请检查输入的参数")
raise RuntimeError("Token失效重新请求后依然发生错误，请检查输入的参数")
if res['msg'] == 'success':
taskids.append(res['data']["taskId"])
else:
print(res['msg'])
raise RuntimeError(res['msg'])
start_time = time.time()
process_bar = tqdm(total=100, unit='%')
results = {}
total_time = 60 * len(taskids)
while True:
end_time = time.time()
duration = end_time - start_time
progress_rate = int((duration) / total_time * 100)
if not taskids:
progress_rate = 100
if progress_rate > process_bar.n:
if progress_rate >= 100:
if not taskids:
increase_rate = 100 - process_bar.n
else:
increase_rate = 0
else:
increase_rate = progress_rate - process_bar.n
else:
increase_rate = 0
process_bar.update(increase_rate)
if duration < 30:
time.sleep(5)
continue
else:
time.sleep(10)
if not taskids:
break
has_done = []
for taskid in taskids:
res = requests.post(get_url,
headers={'Content-Type': 'application/x-www-form-urlencoded'},
data={
'access_token': token,
'taskId': {taskid}
})
res = res.json()
if res['code'] == 4001:
print('请求参数错误')
raise RuntimeError("请求参数错误")
elif res['code'] == 4002:
print('请求参数格式错误，请检查必传参数是否齐全，参数类型等')
raise RuntimeError("请求参数格式错误，请检查必传参数是否齐全，参数类型等")
elif res['code'] == 4003:
print('请求参数中，图片风格不在可选范围内')
raise RuntimeError("请求参数中，图片风格不在可选范围内")
elif res['code'] == 4004:
print('API服务内部错误，可能引起原因有请求超时、模型推理错误等')
raise RuntimeError("API服务内部错误，可能引起原因有请求超时、模型推理错误等")
elif res['code'] == 100 or res['code'] == 110 or res['code'] == 111:
self.token = self._apply_token(self.ak, self.sk)
res = requests.post(get_url,
headers={'Content-Type': 'application/x-www-form-urlencoded'},
data={
'access_token': self.token,
'taskId': {taskid}
})
res = res.json()
if res['code'] != 0:
print("Token失效重新请求后依然发生错误，请检查输入的参数")
raise RuntimeError("Token失效重新请求后依然发生错误，请检查输入的参数")
if res['msg'] == 'success':
if res['data']['status'] == 1:
has_done.append(res['data']['taskId'])
results[res['data']['text']] = {
'imgUrls': res['data']['imgUrls'],
'waiting': res['data']['waiting'],
'taskId': res['data']['taskId']
}
else:
print(res['msg'])
raise RuntimeError(res['msg'])
for taskid in has_done:
taskids.remove(taskid)
print('Saving Images...')
result_images = []
for text, data in results.items():
for idx, imgdata in enumerate(data['imgUrls']):
try:
image = Image.open(BytesIO(requests.get(imgdata['image']).content))
except Exception as e:
print('Download generated images error, retry one time')
try:
image = Image.open(BytesIO(requests.get(imgdata['image']).content))
except Exception:
raise RuntimeError('Download generated images failed.')
if visualization:
image.save(os.path.join(output_dir, '{}_{}.png'.format(text, idx)))
result_images.append(image)
if idx + 1 >= topk:
break
print('Done')
return result_images
@runnable
def run_cmd(self, argvs):
"""
Run as a command.
"""
self.parser = argparse.ArgumentParser(description="Run the {} module.".format(self.name),
prog='hub run {}'.format(self.name),
usage='%(prog)s',
add_help=True)
self.arg_input_group = self.parser.add_argument_group(title="Input options", description="Input data. Required")
self.add_module_input_arg()
args = self.parser.parse_args(argvs)
self.ak = args.ak
self.sk = args.sk
self.token = self._apply_token(self.ak, self.sk)
results = self.generate_image(text_prompts=args.text_prompts,
style=args.style,
topk=args.topk,
visualization=args.visualization,
output_dir=args.output_dir)
return results
@serving
def serving_method(self, text_prompts, **kwargs):
"""
Run as a service.
"""
results_base64encoded = []
results = self.generate_image(text_prompts=text_prompts, **kwargs)
for result in results:
buffered = BytesIO()
result.save(buffered, format="png")
img_str = base64.b64encode(buffered.getvalue()).decode('utf-8')
results_base64encoded.append(img_str)
return results_base64encoded
def add_module_input_arg(self):
"""
Add the command input options.
"""
self.arg_input_group.add_argument('--text_prompts', type=str)
self.arg_input_group.add_argument('--style',
type=str,
default='探索无限',
choices=[
'古风', '油画', '水彩', '卡通', '二次元', '浮世绘', '蒸汽波艺术', 'low poly', '像素风格', '概念艺术',
'未来主义', '赛博朋克', '写实风格', '洛丽塔风格', '巴洛克风格', '超现实主义', '探索无限'
],
help="绘画风格")
self.arg_input_group.add_argument('--topk', type=int, default=6, help="选取保存前多少张图，最多10张")
self.arg_input_group.add_argument('--ak', type=str, default=None, help="申请文心api使用token的ak")
self.arg_input_group.add_argument('--sk', type=str, default=None, help="申请文心api使用token的sk")
self.arg_input_group.add_argument('--visualization', type=bool, default=True, help="是否保存生成的图片")
self.arg_input_group.add_argument('--output_dir', type=str, default='ernievilg_output')
def create_gradio_app(self):
'''
Add gradio app for hub serving.
'''
import paddlehub as hub
language_translation_model = hub.Module(name='baidu_translate')
language_recognition_model = hub.Module(name='baidu_language_recognition')
style_list = [
'古风', '油画', '水彩', '卡通', '二次元', '浮世绘', '蒸汽波艺术', 'low poly', '像素风格', '概念艺术', '未来主义', '赛博朋克', '写实风格', '洛丽塔风格',
'巴洛克风格', '超现实主义', '探索无限'
]
tips = {
"en": "Tips: The input text will be translated into Chinese for generation",
"jp": "ヒント: 入力テキストは生成のために中国語に翻訳されます",
"kor": "힌트: 입력 텍스트는 생성을 위해 중국어로 번역됩니다"
}
count = 0
def translate_language(text_prompts):
nonlocal count
try:
count += 1
tips_text = None
language_code = language_recognition_model.recognize(text_prompts)
if language_code != 'zh':
text_prompts = language_translation_model.translate(text_prompts, language_code, 'zh')
except Exception as e:
error_text = str(e)
return {status_text: error_text, language_tips_text: gr.update(visible=False)}
if language_code in tips:
tips_text = tips[language_code]
else:
tips_text = tips['en']
if language_code == 'zh':
return {
language_tips_text: gr.update(visible=False),
translated_language: text_prompts,
trigger_component: gr.update(value=count, visible=False)
}
else:
return {
language_tips_text: gr.update(visible=True, value=tips_text),
translated_language: text_prompts,
trigger_component: gr.update(value=count, visible=False)
}
def inference(text_prompts, style_indx):
try:
style = style_list[style_indx]
results = self.generate_image(text_prompts=text_prompts, style=style, visualization=False)
except Exception as e:
error_text = str(e)
return {status_text: error_text, gallery: None}
return {status_text: 'Success', gallery: 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(Oil painting)'],
['A cat with glasses', '油画(Oil painting)'],
['眼鏡をかけた猫', '油画(Oil painting)'],
['안경을 쓴 고양이', '油画(Oil painting)'],
['日落时的城市天际线,史前遗迹风格', '油画(Oil painting)'],
['一只猫坐在椅子上，戴着一副墨镜, low poly 风格', '卡通(Cartoon)'],
['A cat sitting on a chair, wearing a pair of sunglasses, low poly style', '油画(Oil painting)'],
['猫が椅子に座ってサングラスをかけている、low polyスタイル', '油画(Oil painting)'],
['고양이 한 마리가 의자에 앉아 선글라스를 끼고 low poly 스타일을 하고 있다', '油画(Oil painting)'],
['一只猫坐在椅子上，戴着一副墨镜,秋天风格', '探索无限(Explore infinity)'],
['蒙娜丽莎，赛博朋克，宝丽来，33毫米,蒸汽波艺术', '探索无限(Explore infinity)'],
['一只猫坐在椅子上，戴着一副墨镜,海盗风格', '探索无限(Explore infinity)'],
['一条由闪电制成的令人敬畏的龙,概念艺术', '探索无限(Explore infinity)'],
['An awesome dragon made of lightning, conceptual art', '油画(Oil painting)'],
['稲妻で作られた畏敬の念を抱かせる竜、コンセプトアート', '油画(Oil painting)'],
['번개로 만든 경외스러운 용, 개념 예술', '油画(Oil painting)'],
['梵高猫头鹰,蒸汽波艺术', '探索无限(Explore infinity)'],
['萨尔瓦多·达利描绘古代文明的超现实主义梦幻油画,写实风格', '探索无限(Explore infinity)'],
['夕阳日落时，阳光落在云层上，海面波涛汹涌，风景，胶片感', '探索无限(Explore infinity)'],
['Sunset, the sun falls on the clouds, the sea is rough, the scenery is filmy', '油画(Oil painting)'],
['夕日が沈むと、雲の上に太陽の光が落ち、海面は波が荒く、風景、フィルム感', '油画(Oil painting)'],
['석양이 질 때 햇빛이 구름 위에 떨어지고, 해수면의 파도가 용솟음치며, 풍경, 필름감', '油画(Oil painting)'],
]
with block:
gr.HTML("""
<div style="text-align: center; max-width: 650px; margin: 0 auto;">
<div
style="
display: inline-flex;
gap: 0.8rem;
font-size: 1.75rem;
margin-bottom: 10px;
margin-left: 220px;
justify-content: center;
"
>
<a href="https://github.com/PaddlePaddle/PaddleHub"><img src="https://user-images.githubusercontent.com/22424850/187387422-f6c9ccab-7fda-416e-a24d-7d6084c46f67.jpg" alt="Paddlehub" width="40%"></a>
</div>
<div
style="
display: inline-flex;
align-items: center;
gap: 0.8rem;
font-size: 1.75rem;
margin-bottom: 10px;
justify-content: center;
">
<a href="https://github.com/PaddlePaddle/PaddleHub"><h1 style="font-weight: 900; margin-bottom: 7px;">
ERNIE-ViLG Demo
</h1></a>
</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>
<a href="https://github.com/PaddlePaddle/PaddleHub"><img src="https://user-images.githubusercontent.com/22424850/188184795-98605a22-9af2-4106-827b-e58548f8892f.png" alt="star Paddlehub" width="100%"></a>
</div>
""")
with gr.Group():
with gr.Box():
with gr.Row().style(mobile_collapse=False, equal_height=True):
text = gr.Textbox(
label="Prompt",
show_label=False,
max_lines=1,
placeholder="Enter your prompt, multiple languages are supported now.",
).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),
)
language_tips_text = gr.Textbox(label="language tips", show_label=False, visible=False, max_lines=1)
styles = gr.Dropdown(label="风格(style)",
choices=[
'古风(Ancient Style)', '油画(Oil painting)', '水彩(Watercolor)', '卡通(Cartoon)',
'二次元(Anime)', '浮世绘(Ukiyoe)', '蒸汽波艺术(Vaporwave)', 'low poly',
'像素风格(Pixel Style)', '概念艺术(Conceptual Art)', '未来主义(Futurism)',
'赛博朋克(Cyberpunk)', '写实风格(Realistic style)', '洛丽塔风格(Lolita style)',
'巴洛克风格(Baroque style)', '超现实主义(Surrealism)', '探索无限(Explore infinity)'
],
value='卡通(Cartoon)',
type="index")
gallery = gr.Gallery(label="Generated images", show_label=False, elem_id="gallery").style(grid=[2, 3],
height="auto")
status_text = gr.Textbox(label="处理状态(Process status)", show_label=True, max_lines=1, interactive=False)
trigger_component = gr.Textbox(
vaule="", visible=False) # This component is used for triggering inference funtion.
translated_language = gr.Textbox(vaule="", visible=False)
ex = gr.Examples(examples=examples,
fn=translate_language,
inputs=[text],
outputs=[language_tips_text, status_text, trigger_component, translated_language],
cache_examples=False)
ex.dataset.headers = [""]
text.submit(translate_language,
inputs=[text],
outputs=[language_tips_text, status_text, trigger_component, translated_language])
btn.click(translate_language,
inputs=[text],
outputs=[language_tips_text, status_text, trigger_component, translated_language])
trigger_component.change(fn=inference,
inputs=[translated_language, styles],
outputs=[status_text, gallery])
gr.HTML("""
<div class="prompt">
<p><h4>Prompt公式</h4>
<span> Prompt = 图片主体，细节词，修饰词 </span>
关于各部分的构造方式和效果，可以参考<a href="https://github.com/PaddlePaddle/PaddleHub/blob/develop/modules/image/text_to_image/ernie_vilg/README.md#四-prompt-指南" style="text-decoration: underline;" target="_blank">YouPromptMe指南</a>。
更多的模型，请关注<a href="https://github.com/PaddlePaddle/PaddleHub" style="text-decoration: underline;" target="_blank"> PaddleHub 官方Repo </a>， 如果你觉得不错，请star收藏吧。
<p><svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" width="90" height="20"><style>a:hover #llink{fill:url(#b);stroke:#ccc}a:hover #rlink{fill:#4183c4}</style><linearGradient id="a" x2="0" y2="100%"><stop offset="0" stop-color="#fcfcfc" stop-opacity="0"/><stop offset="1" stop-opacity=".1"/></linearGradient><linearGradient id="b" x2="0" y2="100%"><stop offset="0" stop-color="#ccc" stop-opacity=".1"/><stop offset="1" stop-opacity=".1"/></linearGradient><g stroke="#d5d5d5"><rect stroke="none" fill="#fcfcfc" x="0.5" y="0.5" width="54" height="19" rx="2"/><rect x="60.5" y="0.5" width="29" height="19" rx="2" fill="#fafafa"/><rect x="60" y="7.5" width="0.5" height="5" stroke="#fafafa"/><path d="M60.5 6.5 l-3 3v1 l3 3" stroke="d5d5d5" fill="#fafafa"/></g><image x="5" y="3" width="14" height="14" xlink:href="data:image/svg+xml;base64,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"/><g aria-hidden="false" fill="#333" text-anchor="middle" font-family="Helvetica Neue,Helvetica,Arial,sans-serif" text-rendering="geometricPrecision" font-weight="700" font-size="110px" line-height="14px"><a target="_blank" xlink:href="https://github.com/PaddlePaddle/PaddleHub"><text aria-hidden="true" x="355" y="150" fill="#fff" transform="scale(.1)" textLength="270">Stars</text><text x="355" y="140" transform="scale(.1)" textLength="270">Stars</text><rect id="llink" stroke="#d5d5d5" fill="url(#a)" x=".5" y=".5" width="54" height="19" rx="2"/></a><a target="_blank" xlink:href="https://github.com/PaddlePaddle/PaddleHub/stargazers"><rect width="30" x="60" height="20" fill="rgba(0,0,0,0)"/><text aria-hidden="true" x="745" y="150" fill="#fff" transform="scale(.1)" textLength="210">8.4k</text><text id="rlink" x="745" y="140" transform="scale(.1)" textLength="210">8.4k</text></a></g></svg></p>
同时，可以在 <a href="https://aistudio.baidu.com/aistudio/projectdetail/4462918", style="text-decoration: underline;" target="_blank"> aistudio </a> 上使用免费的GPU体验更多案例。
</p>
</div>
<div class="prompt">
<p><h4>Prompt format</h4>
<span> Prompt = object, details, description </span>
For more details, please refer to <a href="https://github.com/PaddlePaddle/PaddleHub/blob/develop/modules/image/text_to_image/ernie_vilg/README.md#四-prompt-指南" style="text-decoration: underline;" target="_blank">YouPromptMe Guide</a>.
There are more interesting models in PaddleHub, if you think it's great, welcome to star <a href="https://github.com/PaddlePaddle/PaddleHub" style="text-decoration: underline;" target="_blank"> PaddleHub</a>.
<p><svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" width="90" height="20"><style>a:hover #llink{fill:url(#b);stroke:#ccc}a:hover #rlink{fill:#4183c4}</style><linearGradient id="a" x2="0" y2="100%"><stop offset="0" stop-color="#fcfcfc" stop-opacity="0"/><stop offset="1" stop-opacity=".1"/></linearGradient><linearGradient id="b" x2="0" y2="100%"><stop offset="0" stop-color="#ccc" stop-opacity=".1"/><stop offset="1" stop-opacity=".1"/></linearGradient><g stroke="#d5d5d5"><rect stroke="none" fill="#fcfcfc" x="0.5" y="0.5" width="54" height="19" rx="2"/><rect x="60.5" y="0.5" width="29" height="19" rx="2" fill="#fafafa"/><rect x="60" y="7.5" width="0.5" height="5" stroke="#fafafa"/><path d="M60.5 6.5 l-3 3v1 l3 3" stroke="d5d5d5" fill="#fafafa"/></g><image x="5" y="3" width="14" height="14" xlink:href="data:image/svg+xml;base64,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"/><g aria-hidden="false" fill="#333" text-anchor="middle" font-family="Helvetica Neue,Helvetica,Arial,sans-serif" text-rendering="geometricPrecision" font-weight="700" font-size="110px" line-height="14px"><a target="_blank" xlink:href="https://github.com/PaddlePaddle/PaddleHub"><text aria-hidden="true" x="355" y="150" fill="#fff" transform="scale(.1)" textLength="270">Stars</text><text x="355" y="140" transform="scale(.1)" textLength="270">Stars</text><rect id="llink" stroke="#d5d5d5" fill="url(#a)" x=".5" y=".5" width="54" height="19" rx="2"/></a><a target="_blank" xlink:href="https://github.com/PaddlePaddle/PaddleHub/stargazers"><rect width="30" x="60" height="20" fill="rgba(0,0,0,0)"/><text aria-hidden="true" x="745" y="150" fill="#fff" transform="scale(.1)" textLength="210">8.4k</text><text id="rlink" x="745" y="140" transform="scale(.1)" textLength="210">8.4k</text></a></g></svg></p>
Besides, you can use free GPU resourses in <a href="https://aistudio.baidu.com/aistudio/projectdetail/4462918", style="text-decoration: underline;" target="_blank"> aistudio </a> to enjoy more cases, have fun.
</p>
</div>
""")
gr.Markdown("""
在"探索无限"的风格模式下，画作的真实风格完全可以由你的prompt来决定。下面是一些参考案例:
In "Explore infinity" style mode, how the image looks like is totally up to your prompt. Below are some cases:
|<img src="https://bce.bdstatic.com/doc/AIDP/wenxin/174_蒙娜丽莎，赛博朋克，宝丽来，33毫米,蒸汽波艺术_000-1_7b4a78a.png" alt="drawing" width="300"/>|
| --- |
| prompt：蒙娜丽莎，赛博朋克，宝丽来，33毫米,</br>蒸汽波艺术 |
|<img src="https://bce.bdstatic.com/doc/AIDP/wenxin/3_72d9343.png" alt="drawing" width="300"/>|
| --- |
| prompt：火焰，凤凰，少女，未来感，高清，3d，</br>精致面容，cg感，古风，唯美，毛发细致，上半身立绘 |
|<img src="https://bce.bdstatic.com/doc/AIDP/wenxin/4_e1f5cbb.png" alt="drawing" width="300"/>|
| --- |
| prompt：巨狼，飘雪，蓝色大片烟雾，毛发细致，</br>烟雾缭绕，高清，3d，cg感，侧面照 |
| <img src="https://bce.bdstatic.com/doc/AIDP/wenxin/5_d380451.png" alt="drawing" width="400"/> |
| --- |
| prompt：浮世绘日本科幻哑光绘画，概念艺术，</br>动漫风格神道寺禅园英雄动作序列，包豪斯|
<img src="https://bce.bdstatic.com/doc/AIDP/wenxin/1_3612449.jpg" alt="drawing" width="600"/>
### <u>[更多内容...](https://github.com/PaddlePaddle/PaddleHub/blob/develop/modules/image/text_to_image/ernie_vilg/README.md#四-prompt-指南)([Explore more...](https://github.com/PaddlePaddle/PaddleHub/blob/develop/modules/image/text_to_image/ernie_vilg/README.md#四-prompt-指南))</u>
""")
gr.HTML('''
<div class="footer">
<p>Model by <a href="https://github.com/PaddlePaddle/PaddleHub" style="text-decoration: underline;" target="_blank">PaddleHub</a> and <a href="https://wenxin.baidu.com" style="text-decoration: underline;" target="_blank">文心大模型</a> - Gradio Demo by 🤗 Hugging Face
</p>
</div>
''')
return block