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基于文心大模型的剧本杀海报生成器（武侠篇）
一、技术路线
作为一个娱乐项目,剧本杀在近年来很快流行起来，本项目依托文心大模型，支持低成本剧本杀产品落地、宣发阶段业务需求，低成本快速产图，一键式生成剧本杀海报，根据剧本内容一键提取剧本杀摘要/关键词+根据出现最多的主题词生成图片，完成文配图，生成简易的海报。
本次主要使用文心大模型结合paddlenlp，如果文章在1000字以内可以使用文心大模型的摘要生成（我觉得这个是可以升级的点，比如支持更多的字数），首先使用PaddleNLP对整个小说进行摘要提取，其次根据摘要提取的关键词生成海报。
二、代码实现
首先安装wenxin_api，接着使用PaddleNLP的Taskflow功能对文章提取摘要，最后再使用文心大模型的AI作图，生成海报图。
! pip install wenxin_apiimport wenxin_api # 可以通过"pip install wenxin-api"命令安装
from wenxin_api.tasks.text_to_image import TextToImage
from paddlenlp import Taskflow
summarizer = Taskflow("text_summarization")wenxin_api.ak = ""
wenxin_api.sk = ""test_text = 'duoqingjiankewuqingjian_gulong.txt'
with open(test_text,'r') as f:text = f.read()title = summarizer(text)
print(f'Title: {title[0]}')input_dict = {"text": title[0] + "超高清，超细节，唯美，插画，壁纸，背影","style": "古风", #解锁更多风格后，非必选参数"resolution":"1024*1536" , #也可设置为 1024*1536、1536*1024"num": "4", #功能解锁后，可设置的范围为[1,2,3,4,5,6]
}
rst = TextToImage.create(**input_dict)
print(rst)
Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple
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Building prefix dict from the default dictionary ...
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Prefix dict has been built successfully.Title: 李寻欢的寂寞
2023-01-06 19:01:25,149 - model is painting now!, taskId: 12624128, waiting: 2m
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{'imgUrls': ['https://wenxin.baidu.com/younger/file/ERNIE-ViLG/ec986708ad955c6f42fadf9681a889f15q', 'https://wenxin.baidu.com/younger/file/ERNIE-ViLG/ec986708ad955c6f42fadf9681a889f130', 'https://wenxin.baidu.com/younger/file/ERNIE-ViLG/ec986708ad955c6f42fadf9681a889f1ex', 'https://wenxin.baidu.com/younger/file/ERNIE-ViLG/ec986708ad955c6f42fadf9681a889f1i4']}
